Reading

Relevance to options markets written from the abstract, not the paper

This work sits directly on the machinery used to fit and constrain implied volatility surfaces: it extends the SVI family with explicit conditions that rule out static arbitrage, and supplies an alternative arbitrage-free parameterization outside the standard SVI form. For computed options data, such results matter for surface fitting and interpolation — parameterizations that are not arbitrage-free can produce negative implied densities or calendar-spread violations, distorting any quantity derived from the fitted surface, including interpolated implied volatilities and risk-neutral densities. The discussion of Lee's moment formula and Roper's arbitrage-freeness conditions also pins down how wing behavior of the surface constrains the tails of the implied distribution.

From the abstract In this paper we propose a generalization of the recent work by Gatheral and Jacquier [J. Gatheral and A. Jacquier, Quant. Finance, 14 (2014), pp. 59--71] on explicit arbitrage-free parameterizations of implied volatility surfaces. We also discuss extensively…

Read the paper doi:10.1137/120900320

Relevance to options markets written from the abstract, not the paper

This work directly targets the volatility surface as its object of simulation: it produces synthetic implied volatility surfaces that satisfy static no-arbitrage constraints while reproducing the empirical co-movement structure of SPX implied volatilities. That combination matters for any use of surface data that requires scenario generation — stress testing of options books, evaluating hedging performance across surface states, or validating surface-fitting methods — since arbitrage-violating scenarios can produce spurious P&L and risk numbers. For an archive of computed surfaces, the method's premise is also a reminder that historical surface panels carry both an arbitrage-consistency requirement and a joint statistical structure across strikes and maturities.

From the abstract We present a computationally tractable method for simulating arbitrage-free implied volatility surfaces.We illustrate how our method may be combined with a data-driven model based on historical SPX implied volatility data to generate dynamic scenarios for…

Read the paper doi:10.1080/1350486x.2023.2277960

Relevance to options markets written from the abstract, not the paper

The paper gives an explicit short-maturity limit for the implied volatility smile in exponential Lévy models under a new strike renormalization, tying the limiting shape to the diffusion coefficient and the Blumenthal–Getoor jump activity index. This provides a direct route from observed short-dated smile curvature and wing behavior to an estimate of jump activity, and distinguishes finite-variation jumps (model-independent constant wing slope) from infinite-variation jumps (wing slopes set by the activity indices of positive and negative jumps separately). For archived surface data, it bears on how the shortest-maturity slice is interpreted and on which Lévy specifications can reproduce it in calibration.

From the abstract We analyze the behavior of the implied volatility smile for options close to expiry in the exponential Lévy class of asset price models with jumps. We introduce a new renormalization of the strike variable with the property that the implied volatility…

Read the paper doi:10.1111/mafi.12055

Relevance to options markets written from the abstract, not the paper

This work proposes a parametric implied volatility surface model in which the term structure is driven by an implied Hurst exponent, so calibrated surfaces can be split into a 1-year skew component and a long-memory component. The claim that a fractional Black–Scholes market forces a non-flat implied volatility term structure whenever the Hurst exponent differs from 0.5, and that 1-year implied volatility is invariant to it, gives a direct mapping from observed term structure slopes to a memory parameter — an option-implied measure distinct from level and skew. Calibration results reported on South African equity index and USD/ZAR options indicate the fit quality differs by asset class, with currency surfaces requiring richer Hurst parameterisation, which is relevant when comparing implied-surface fits across markets and when using such surfaces for delta computation.

From the abstract Background: Contingent claims on underlying assets are typically priced under a framework that assumes, inter alia, that the log returns of the underlying asset are normally distributed. However, many researchers have shown that this assumption is violated in…

Read the paper doi:10.4102/sajems.v20i1.1532

Relevance to options markets written from the abstract, not the paper

This provides a closed-form, integral-free implied volatility expansion — polynomial in log-strike — for any positive martingale with a known characteristic function, which covers the Fourier-transform-based models (Merton jump-diffusion, variance gamma, Heston) commonly used to generate the volatility surfaces archived here. Because the expansion maps characteristic function coefficients directly into smile shape, it offers a fast alternative to numerical Fourier inversion when producing or checking model-implied IV grids, and clarifies which model features drive smile level, slope, and curvature. The abstract also claims the expansion supports model-free fitting of empirical implied volatility surfaces, making it relevant to surface-smoothing and parameterization choices for computed IV data.

From the abstract For any strictly positive martingaleS= eXfor whichXhas a characteristic function, we provide an expansion for the implied volatility. This expansion is explicit in the sense that it involves no integrals, but only polynomials in the log-strike. We illustrate…

Read the paper doi:10.1017/s0001867800048850

Relevance to options markets written from the abstract, not the paper

This is a direct study of option pricing model performance: it benchmarks one-factor rough Bergomi and rough Heston against classical alternatives on SPX implied volatility surfaces over 2004–2019 and on joint SPX–VIX calibration at low, typical, and high volatility dates. The reported failures concern surface geometry specifically — insufficient term structure of skew/smile and an inability to reproduce more symmetric short-expiry smiles relative to long-expiry ones — and the proposed two-factor Ornstein-Uhlenbeck model with a non-standard transformation is claimed to fit SPX nearly exactly and SPX–VIX jointly. For users of computed surface data, the relevant implication is that roughness and jumps may not be necessary to match observed smile term structure, which bears on how model-implied quantities and parameters extracted from these surfaces should be interpreted.

From the abstract We conduct an empirical analysis of rough and classical stochastic volatility models to the SPX and VIX options markets. Our analysis focusses primarily on calibration quality and is split in two parts. In part one, we perform a historical calibration to SPX…

Read the paper doi:10.1080/14697688.2022.2081592

Relevance to options markets written from the abstract, not the paper

The paper gives model-free asymptotics for the left wing of the smile when the underlying can hit zero with positive probability, showing that small-strike implied volatility is pinned by the size of the atom to high asymptotic order and that the atom also shifts at-the-money implied volatility and the smile's overall level. This means deep out-of-the-money put quotes carry information about default or absorption probability, and the paper claims that mass at zero is in principle distinguishable from a heavy left tail — relevant when interpreting steep left wings extracted from option surfaces. It also flags a technical caveat for surface construction and extrapolation: standard exact wing asymptotics (Benaim–Friz, Gulisashvili) fail here because put-call duality breaks down, though Lee's linear bound on implied variance still holds; the numerical tests use CEV and jump-to-default models.

From the abstract We study the shapes of the implied volatility when the underlying distribution has an atom at zero and analyze the impact of a mass at zero on at-the-money implied volatility and the overall level of the smile. We further show that the behavior at small…

Read the paper doi:10.1137/14098065x

Relevance to options markets written from the abstract, not the paper

The SABR model with β<1 assigns positive probability to the underlying hitting zero, and this mass at the origin governs the behavior of the left wing of the implied volatility smile; the paper supplies tractable short- and long-maturity expressions for that mass and the corresponding small-strike implied volatility expansions. Because the expansions are arbitrage-free by construction, they provide a benchmark for checking where standard SABR implied volatility formulas (Hagan-type approximations) break down at low strikes, which is exactly the region where smile extrapolation and low-strike quotes are least reliable. For archived surface data, this bears on how far down in strike a SABR-fitted surface can be trusted and on the interpretation of very-low-strike implied volatilities in rate and equity markets where absorption at zero is a modeling concern.

From the abstract We study the mass at the origin in the uncorrelated stochastic alpha, beta, rho stochastic volatility model and derive several tractable expressions, in particular when time becomes small or large. As an application—in fact the original motivation for this…

Read the paper doi:10.1080/14697688.2018.1432883

Relevance to options markets written from the abstract, not the paper

This is a direct study of what shapes the implied volatility surface: order-flow-driven demand rather than pure no-arbitrage or diffusion dynamics, with index-put demand moving S&P 500 implied volatilities and call demand moving single-stock implied volatilities. That asymmetry offers an interpretation for why index skews and individual-stock skews differ in sign and steepness, and cautions against reading level or slope of implied volatility purely as a forecast of realized volatility. The finding that delta-neutral option-writing returns track the gap between the IVF and realized volatility ties the surface's shape to limits on dealer risk-bearing capacity rather than to expected variance alone.

From the abstract ABSTRACT This paper examines the relation between net buying pressure and the shape of the implied volatility function (IVF) for index and individual stock options. We find that changes in implied volatility are directly related to net buying pressure from…

Read the paper doi:10.1111/j.1540-6261.2004.00647.x

Relevance to options markets written from the abstract, not the paper

The paper's technical core is implied volatility surface parameterization: it proposes a quadratic model for the smile and fits it with a regularized machine-learning objective that enforces butterfly no-arbitrage within each maturity slice, plus parameter constraints across slices to exclude calendar spread arbitrage. That places it alongside SVI-type work on producing statically arbitrage-free surfaces, which matters for archived implied volatility data because raw fitted surfaces can violate convexity in strike or monotonicity in maturity and thereby distort interpolated volatilities and any risk-neutral densities extracted from them. The deposit insurance application treats the insurance as a contingent claim whose valuation depends on the calibrated surface, so pricing errors from arbitrage-violating fits translate directly into mispriced guarantees; the abstract's contribution to options markets is the calibration methodology rather than the insurance context.

From the abstract While the main conceptual issue related to deposit insurances is the moral hazard risk, the main technical issue is inaccurate calibration of the implied volatility. This issue can raise the risk of generating an arbitrage. In this paper, first, we discuss…

Read the paper doi:10.3390/risks7020045

Relevance to options markets written from the abstract, not the paper

This is directly a methodological contribution to volatility surface calibration: the claim is that the post-2008 widening of traded strike ranges degrades Fourier-inversion (characteristic-function) pricing, and that continuous-time Markov chain approximations to the underlying process deliver arbitrage-free surface fits instead, demonstrated on 2,695 SPY options across 28 maturities. Because the Markov chain construction does not require independent increments, it admits calibration of models outside the Lévy/affine class that Fourier methods typically assume, which matters for how a fitted surface extrapolates into deep-strike wings. The stated cost is speed, so the practical relevance is to how surfaces are constructed and whether quoted strike grids are covered without static-arbitrage violations, rather than to any interpretation of the resulting implied measures.

From the abstract It is argued that the growth in the breadth of option strikes traded after the financial crisis of 2008 poses difficulties for the use of Fourier inversion methodologies in volatility surface calibration. Continuous time Markov chain approximations are…

Read the paper doi:10.3390/jrfm12020069

Relevance to options markets written from the abstract, not the paper

This directly addresses construction of the volatility surface: it fits European vanilla prices with a neural network while imposing or penalizing static no-arbitrage conditions (monotonicity, convexity, calendar constraints) and simultaneously extracting the Dupire local volatility surface, using local-volatility bounds as a fitting constraint. For an archive of computed option data, this is relevant to how interpolated price and implied-volatility surfaces are produced and whether derived quantities — local volatilities and Greeks — are arbitrage-consistent rather than merely smooth. The DAX vanilla benchmark indicates the method is intended for real quoted-price grids with their typical sparseness and noise, which is the same setting in which surface-based measures are computed from market quotes.

From the abstract Deep learning for option pricing has emerged as a novel methodology for fast computations with applications in calibration and computation of Greeks. However, many of these approaches do not enforce any no-arbitrage conditions, and the subsequent local…

Read the paper doi:10.3390/risks8030082

Relevance to options markets written from the abstract, not the paper

This is directly a volatility-surface construction paper: it shows how to calibrate the SVI smile parameterization so the fitted surface contains no static arbitrage, and exhibits a class of arbitrage-free SVI surfaces in closed form. For archived implied-volatility data, that matters because surfaces fit without such constraints can imply negative butterfly or calendar spread values, contaminating any quantity read off the surface — local volatility, risk-neutral densities, interpolated implied vols at non-traded strikes and maturities. The SPX fit quality reported suggests the no-arbitrage restrictions are not costly in fit terms, so smoothing and interpolation of listed index option quotes can be done without trading off consistency.

From the abstract In this article, we show how to calibrate the widely used SVI parameterization of the implied volatility smile in such a way as to guarantee the absence of static arbitrage. In particular, we exhibit a large class of arbitrage-free SVI volatility surfaces…

Read the paper doi:10.1080/14697688.2013.819986

Relevance to options markets written from the abstract, not the paper

The variance risk premium constructed as option-implied variation minus high-frequency realized variation is treated here as a priced signal about time-varying economic uncertainty, which makes the gap between the two variance measures an economically interpretable quantity rather than a pricing residual. The abstract stresses that results hinge on model-free implied volatility rather than Black–Scholes implied volatility, so the choice of implied-variance construction materially changes what an option-implied uncertainty measure conveys. For an archive of computed option data, this supports reporting model-free implied variance alongside conventional implied volatilities, and pairing them with intraday-based realized variation when the premium itself is the object of interest.

From the abstract Motivated by the implications from a stylized self-contained general equilibrium model incorporating the effects of time-varying economic uncertainty, we show that the difference between implied and realized variation, or the variance risk premium, is able to…

Read the paper doi:10.1093/rfs/hhp008

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/0304-405x(87)90026-2

Relevance to options markets written from the abstract, not the paper

The axiomatic framework here bears directly on options because two of the risk-measurement systems it evaluates — SPAN and the SEC/NASD rules — are the margining regimes applied to option and option-spread positions, and the paper argues these should be judged by whether they satisfy subadditivity, monotonicity, and the other coherence properties. The demonstrated failure of subadditivity for quantile-based measures matters most for portfolios with nonlinear, skewed payoffs of the kind options generate, where VaR computed position-by-position can understate combined risk; the scenario-based construction offered as a universal source of coherent measures is the same technology SPAN uses to stress option portfolios across price and volatility moves. The abstract's rejection of the complete-markets assumption also frames risk measurement as the relevant tool where a unique replicating hedge and hence a unique option price does not exist, though the paper as described addresses capital and margin requirements rather than pric

From the abstract In this paper we study both market risks and nonmarket risks, without complete markets assumption, and discuss methods of measurement of these risks. We present and justify a set of four desirable properties for measures of risk, and call the measures…

Read the paper doi:10.1111/1467-9965.00068

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jeconom.2010.03.033

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/s1386-4181(01)00024-6

Relevance to options markets written from the abstract, not the paper

Volatility and jump risk are the same state variables that options price, so the finding that high-frequency realized volatility and jump measures explain roughly half and a fifth of CDS spread levels respectively links credit spreads directly to the quantities embedded in the equity volatility surface — level for diffusive volatility, and skew/short-dated wings for jump intensity. The calibration of a Merton-type structural model with stochastic volatility and jumps makes explicit the common pricing kernel behind equity options and credit, which underpins capital-structure arbitrage relations and cross-market comparisons of option-implied versus CDS-implied default risk. The paper uses realized (high-frequency) rather than option-implied volatility and jump measures, so any statement about implied volatility's relative information content in this setting is an extension beyond what the abstract reports.

From the abstract This paper attempts to explain the credit default swap (CDS) premium, using a novel approach to identify the volatility and jump risks of individual firms from high-frequency equity prices. Our empirical results suggest that the volatility risk alone predicts…

Read the paper doi:10.1093/rfs/hhp004

Relevance to options markets written from the abstract, not the paper

The paper extracts separate time series of diffusive volatility and jump intensity from S&P 500 index option prices, which is directly a statement about how the index volatility surface decomposes into continuous-variation and crash-risk components — the jump intensity is identified largely by the pricing of deep out-of-the-money puts and the skew. Because the two implied risk measures are then mapped into an ex ante equity premium that predicts subsequent index returns, the work bears on the interpretation of option-implied quantities as forward-looking risk measures rather than merely as forecasts of realized volatility, and it quantifies the gap: the premium for ex ante risk is 70% above that for realized volatility. Users of computed implied-volatility and risk-neutral moment series can read this as evidence that the crash-risk portion of the surface carries information distinct from the level of implied volatility.

From the abstract We use a novel pricing model to imply time series of diffusive volatility and jump intensity from S&P 500 index options. These two measures capture the ex ante risk assessed by investors. Using a simple general equilibrium model, we translate the implied…

Read the paper doi:10.1162/rest.2010.11549

Relevance to options markets written from the abstract, not the paper

Range-based quasi-maximum likelihood gives more efficient estimates of stochastic volatility parameters and of the latent volatility path itself, and those parameters — persistence, volatility-of-volatility, mean reversion — are exactly the inputs that determine model-implied smile shape and term structure in SV option pricing models. The finding that daily FX volatility is best described by a two-factor structure with one near-integrated and one fast mean-reverting component speaks directly to why single-factor models struggle to match both short- and long-dated implied volatility term structures simultaneously. The claimed robustness of range proxies to microstructure noise also matters for anyone building a physical-measure volatility benchmark against which option-implied measures are compared, since noise-driven bias in the realized-volatility leg contaminates estimated variance risk premia.

From the abstract ABSTRACT We propose using the price range in the estimation of stochastic volatility models. We show theoretically, numerically, and empirically that range‐based volatility proxies are not only highly efficient, but also approximately Gaussian and robust to…

Read the paper doi:10.1111/1540-6261.00454

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jeconom.2006.05.019

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jeconom.2006.06.012

Relevance to options markets written from the abstract, not the paper

Panel-estimated realized volatility models that pool information across commodities, currencies, equity indices, and fixed income deliver better out-of-sample volatility forecasts, which is the input that determines whether option-implied volatility looks rich or cheap relative to expected realized variance. Cross-asset pooling matters directly for implied-realized spread and variance risk premium calculations in thinner options markets, where single-asset realized volatility estimates are noisy and forecasts borrowed from related assets may be more accurate. The paper's evaluation is framed around utility-based risk forecasting and transaction costs rather than option pricing, so the connection to the volatility surface itself — term structure, skew — is indirect and not addressed in the abstract.

From the abstract Based on high-frequency data for more than fifty commodities, currencies, equity indices, and fixed-income instruments spanning more than two decades, we document strong similarities in realized volatility patterns within and across asset classes. Exploiting…

Read the paper doi:10.1093/rfs/hhy041

Relevance to options markets written from the abstract, not the paper

The realized exponential GARCH model specifies joint dynamics for returns and realized measures with flexible return–volatility dependence, which is the leverage channel that generates skew in model-implied volatility surfaces; a better-fitting conditional variance process also changes the term structure of forecast variance that maps into model-based option prices and hedge ratios. Because the abstract reports gains from using multiple realized measures rather than one, the work speaks to how high-frequency information can sharpen physical-measure volatility forecasts — the natural benchmark against which option-implied volatility is compared when estimating variance risk premia. The abstract reports only return-series estimation on 27 stocks and an S&P 500 ETF, with no option pricing or risk-neutralization exercise, so the connection to traded option prices is indirect.

From the abstract We introduce the realized exponential GARCH model that can use multiple realized volatility measures for the modeling of a return series. The model specifies the dynamic properties of both returns and realized measures, and is characterized by a flexible…

Read the paper doi:10.1080/07350015.2015.1038543

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.eneco.2016.04.010

Relevance to options markets written from the abstract, not the paper

Realized-volatility forecasts are the input against which option-implied volatility is judged, so evidence that Google search intensity on financial keywords and StockTwits message volume add incremental predictive power beyond standard economic and financial predictors speaks to what information implied volatility should already embed — and to how implied-minus-realized spreads or variance risk premium estimates might be decomposed. The paper's finding that the statistical gains are significant but economically small is directly relevant to interpreting attention-based signals in option-implied measures: it suggests such data refine rather than overturn volatility expectations. The abstract addresses forecasting of realized volatility only and makes no claims about option prices, the volatility surface, or hedging, so any link to those is by way of the forecast-versus-implied comparison rather than direct evidence.

From the abstract We analyze the impact of sentiment and attention variables on the stock market volatility by using a novel and extensive dataset that combines social media, news articles, information consumption, and search engine data. We apply a state-of-the-art sentiment…

Read the paper doi:10.1016/j.ijforecast.2019.05.010

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jeconom.2010.03.023

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jfineco.2018.09.008

Relevance to options markets written from the abstract, not the paper

The paper attributes momentum's crash risk to the option-like payoff of past losers — highly levered firms whose equity behaves like a call on assets — which implies that the conditional risk premium on losers rises with market volatility and after market declines. That framing connects momentum returns directly to the pricing of implied volatility and skew at the single-name level: the "conditionally high premium" on loser payoffs is an option-valuation claim, and the state variables the authors use to forecast crashes (recent market declines, high market volatility) are the same variables that drive the level and slope of the volatility surface. The abstract's forecasting results rely on realized market volatility rather than option-implied measures, so any statement about implied volatility as a crash predictor is an extension the paper does not make.

From the abstract Despite their strong positive average returns across numerous asset classes, momentum strategies can experience infrequent and persistent strings of negative returns. These momentum crashes are partly forecastable. They occur in panic states, following market…

Read the paper doi:10.1016/j.jfineco.2015.12.002

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.irfa.2013.01.008

Relevance to options markets written from the abstract, not the paper

The paper works directly with the VIX option implied volatility surface, characterizing the term structure of the smirk slope and showing that this slope predicts VIX futures returns from one day to one month ahead, with more predictive content than other sentiment proxies drawn from equity and equity-option markets. This makes archived VIX option IV surfaces — specifically moneyness slopes across maturities — a candidate input for studying volatility-of-volatility dynamics and the pricing relationship between VIX options and VIX futures. The stated mechanisms (time-varying VIX–VVIX correlation, VIX jumps, and futures positioning) also bear on how option-implied measures from the VIX complex should be interpreted: the slope reflects jump risk and dealer/investor positioning, not just expected volatility levels.

From the abstract Abstract This paper documents the dynamics of the term structure of the implied volatility (IV) smirk of Chicago Board Options Exchange Volatility Index (VIX) options. Empirical analysis shows that VIX option–IV slope predicts VIX futures returns over the…

Read the paper doi:10.1002/fut.22317

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.amc.2015.12.027

Relevance to options markets written from the abstract, not the paper

The variance risk premium and risk-neutral skewness that the paper uses as its central moments are both computed from option prices, so the work provides an equilibrium interpretation of what the gap between risk-neutral and physical variance and skewness reveals — specifically, that high option-implied variance premiums coincide with a downward shift in the left tail of consumption growth. The finding that risk-neutral skewness is substantially more negative than physical return skewness is a direct statement about the shape of the volatility surface, and the habit model is disciplined to reproduce that asymmetry rather than treat it as a pricing anomaly. The decomposition of the premium into "bad" versus "good" consumption growth uncertainty offers a structural reading of variation in option-implied variance measures over time, though the paper is about equilibrium asset pricing and not about pricing or hedging individual contracts.

From the abstract Abstract The equity variance risk premium is the expected compensation earned for selling variance risk in equity markets. The variance risk premium is positive and shows only moderate persistence. High variance risk premiums coincide with the left tail of…

Read the paper doi:10.1093/rof/rfad005

Relevance to options markets written from the abstract, not the paper

The paper's core object is the VIX itself — a model-free option-implied volatility measure constructed from the full strike ladder of S&P 500 options — and it asks whether that index can be reconstructed intraday from only the most liquid subset of those options. That speaks directly to how much of the implied volatility surface is actually informative for the 30-day variance swap rate the VIX approximates, and to the practical replication cost that separates the spot index from VIX futures prices. The stated motivation is deviations between the VIX and its futures, so the work bears on the interpretation of option-implied volatility measures and on the frictions (illiquidity of far out-of-the-money strikes) that limit their enforcement by arbitrage.

From the abstract The Chicago Board Options Exchange Volatility Index (VIX) is considered by many market participants as a common measure of market risk and investors' sentiment, representing the market's expectation of the 30-day-ahead looking implied volatility obtained from…

Read the paper doi:10.1007/s42521-020-00026-y

Relevance to options markets written from the abstract, not the paper

This is the Bakshi–Cao–Chen benchmark study that nests stochastic volatility, stochastic interest rates, and jumps in a single closed-form option model and ranks the components by their empirical contribution on S&P 500 options. Its central findings — that jumps plus stochastic volatility matter most for out-of-sample pricing and for reconciling implied parameters with the underlying time series, while stochastic volatility alone suffices for hedging — set the standard framework for judging whether a model's fit to the implied volatility surface reflects genuine dynamics or parameter overfitting. For archived option-implied data, it supplies the reference decomposition against which implied volatilities, calibrated parameters, and hedge-ratio errors from competing specifications are typically interpreted.

From the abstract ABSTRACT Substantial progress has been made in developing more realistic option pricing models. Empirically, however, it is not known whether and by how much each generalization improves option pricing and hedging. We fill this gap by first deriving an option…

Read the paper doi:10.1111/j.1540-6261.1997.tb02749.x

Relevance to options markets written from the abstract, not the paper

Crash risk is the physical-measure analogue of what option prices encode in the left tail: the steepness of the implied volatility smirk, risk-neutral skewness, and the relative pricing of out-of-the-money puts. A firm characteristic that predicts crashes — here, CEO age interacted with managerial discretion — is testable against option-implied skew and tail measures, either as a determinant of the cross-section of the smirk's slope or as information not reflected in it. The paper's specific crash mechanism, breaks in strings of consecutive earnings increases, also gives a dated event that maps onto earnings-cycle implied volatility term structure and post-announcement realized moves.

From the abstract Abstract We show that firms with younger CEOs are more likely to experience stock price crashes, including crashes caused by revelation of negative news in the form of breaks in strings of consecutive earnings increases. Such strings are accompanied by large…

Read the paper doi:10.1093/rof/rfw056

Relevance to options markets written from the abstract, not the paper

Risk-neutral skewness is extracted directly from the cross-section of equity option prices, so this work speaks to whether the asymmetry of the implied volatility smile carries a distinct risk premium beyond the level (vega) and directional (delta) dimensions. The construction—delta- and vega-neutral two-option-plus-stock portfolios—provides an explicit template for isolating third-moment exposure from an option surface, and the documented negative skewness/return relation implies that options on names with high risk-neutral skewness are priced richly relative to subsequent realized payoffs. That the returns survive controls for market, size, value, momentum, reversal, volatility, and option-market factors bears on how option-implied skewness should be interpreted: as reflecting investor skewness preference rather than compensation for known systematic exposures.

From the abstract Abstract We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness assets comprised of two option positions (one long and one short) and a position in the underlying stock. The assets are created such that exposure…

Read the paper doi:10.1017/s0022109013000410

Relevance to options markets written from the abstract, not the paper

This paper uses daily S&P 500 index option prices to extract conditional, forward-looking estimates of market volatility, skewness, and kurtosis, making the option-implied moment surface the direct input to an asset-pricing test rather than an object of study in itself. The finding that innovations in implied market skewness carry a premium of roughly -6% to -8% annually gives an economic interpretation to movements in the implied skew: shifts in the slope of the index volatility surface track a priced state variable that stocks load on differentially. For archival purposes, this ties computed higher-moment measures (implied volatility, model-free or option-implied skewness and kurtosis) to cross-sectional equity risk, and indicates that the three moments carry distinct and even oppositely-signed information rather than being redundant summaries of the same surface.

From the abstract The cross-section of stock returns has substantial exposure to risk captured by higher moments in market returns. We estimate these moments from daily S&P 500 index option data. The resulting time series of factors are thus genuinely conditional and…

Read the paper doi:10.1016/j.jfineco.2012.07.002

Relevance to options markets written from the abstract, not the paper

This is directly an options-market paper: it uses the cross section of S&P futures option prices from 1987–2003 to discriminate among affine jump-diffusion specifications, finding that jumps in prices are needed to fit observed option prices while support for volatility jumps is weaker in the cross section than in the time series of returns. The estimated diffusive and jump risk premia are the wedge between physical dynamics and the risk-neutral measure embedded in option prices, so they bear directly on how implied volatility levels and the shape of the surface — particularly the steep short-maturity skew and the gap between implied and realized volatility — should be interpreted. The results also imply that option returns and the profitability of hedged positions reflect compensation for jump risk rather than mispricing alone, which matters for any decomposition of option-implied measures into forecast and premium components.

From the abstract ABSTRACT This paper examines model specification issues and estimates diffusive and jump risk premia using S&P futures option prices from 1987 to 2003. We first develop a time series test to detect the presence of jumps in volatility, and find strong evidence…

Read the paper doi:10.1111/j.1540-6261.2007.01241.x

Relevance to options markets written from the abstract, not the paper

This work uses index option prices as the primary data for identifying tail risk, so its content is directly about the volatility surface: the deep out-of-the-money put prices that macro-finance disaster models generate are compared against observed option prices, and the implied risk-neutral distribution is mapped into a consumption-growth distribution through a pricing kernel. The finding that options imply smaller probabilities of extreme outcomes than macroeconomic disaster estimates is a statement about the steepness of the implied volatility smirk — calibrated disaster models would produce fatter left tails, and hence richer OTM put prices, than the market shows. For interpreting option-implied tail measures, the paper makes clear that any reading of risk-neutral skewness or tail probability as a physical disaster probability depends entirely on the assumed pricing kernel, and that different kernel choices (macro-finance versus reduced-form option-pricing) reconcile the same surface with different real-world tails.

From the abstract ABSTRACT We use equity index options to quantify the distribution of consumption growth disasters. The challenge lies in connecting the risk‐neutral distribution of equity returns implied by options to the true distribution of consumption growth. First, we…

Read the paper doi:10.1111/j.1540-6261.2011.01697.x

Relevance to options markets written from the abstract, not the paper

This work bears directly on option pricing: it estimates jump-diffusion specifications with correlated jumps in price and volatility and state-dependent jump intensity using options and returns jointly, and reports risk premiums for jump and volatility risk. The finding that elaborate jump structures add little to the cross-sectional fit of options but matter for joint options/returns fit speaks to how much of the implied volatility surface's shape can be attributed to jump dynamics versus risk premiums, and cautions that surface fit alone weakly identifies jump specifications. The estimated jump and volatility risk premiums are the wedge between physical and risk-neutral dynamics, which is the quantity implied measures such as variance risk premia and risk-neutral moments are meant to capture.

From the abstract ABSTRACT This paper examines the empirical performance of jump diffusion models of stock price dynamics from joint options and stock markets data. The paper introduces a model with discontinuous correlated jumps in stock prices and stock price volatility, and…

Read the paper doi:10.1111/j.1540-6261.2004.00666.x

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jfineco.2021.04.029

Relevance to options markets written from the abstract, not the paper

The text supplied here is a publication notice rather than a substantive abstract, so the only substantive signal is the title: the paper concerns illiquidity premia in equity options. On that basis, it speaks to whether option prices and implied volatilities embed compensation for liquidity — meaning that measured implied volatility levels, and cross-sectional or term-structure differences in them, may reflect trading frictions rather than expected variance alone, which matters for how option-implied measures computed from quoted prices are interpreted. Any more specific claim about which liquidity proxies, moneyness ranges, or maturities are affected, or the size of the effect, is not supported by the material provided.

From the abstract This is a pre-copyedited, author-produced version of an article accepted for publication in The Review of Financial Studies following peer review. The version of record Christoffersen, P., Goyenko, R., Jacobs, K., Karoui, M. (2017). Illiquidity Premia in the…

Read the paper doi:10.1093/rfs/hhx113

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jfineco.2012.11.010

Relevance to options markets written from the abstract, not the paper

Delta-hedged option returns isolate the volatility-related component of option payoffs, so the firm characteristics identified here — profitability, cash holdings, cash flow variance, distress risk, analyst dispersion — map onto systematic gaps between implied and subsequently realized volatility in the cross-section of single-name options. This bears directly on how the level of the implied volatility surface is priced relative to underlying stock fundamentals, and the finding that two option factors, not equity factors, explain the strategy profits suggests option-market risk premia are partly distinct from those in the underlying. For archive users, the results imply that option-implied volatility measures carry a characteristic-dependent premium that should not be read as a pure forecast of realized volatility.

From the abstract Abstract We uncover new return predictability in the cross-section of delta-hedged equity options. Expected returns to writing delta-hedged calls are negatively correlated with stock price, profit margin, and firm profitability, but positively correlated with…

Read the paper doi:10.1093/rfs/hhab067

Relevance to options markets written from the abstract, not the paper

The measure is constructed directly from trading quantities in deep out-of-the-money S&P index puts, so it treats the options market itself as the observation window on intermediary balance-sheet capacity rather than as a downstream application. The reported link between tightening constraints and rising option expensiveness bears on the interpretation of the left tail of the implied volatility surface: part of the level and steepness of the put skew reflects who is able to supply crash insurance, not only investors' assessments of crash probability or risk aversion. This implies that option-implied tail measures — risk-neutral skewness, variance risk premia, jump risk premia extracted from OTM puts — carry a supply-side component that co-moves with funding liquidity and dealer leverage.

From the abstract We propose a new measure of financial intermediary constraints based on how intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money index put options, we identify periods when the…

Read the paper doi:10.1093/rfs/hhy004

Relevance to options markets written from the abstract, not the paper

Delta hedging by option market makers is modeled as a permanent-impact feedback channel, so realized spot volatility becomes a function of aggregate dealer gamma exposure — negative gamma amplifies volatility, positive gamma dampens it. This breaks the exogenous-volatility assumption behind standard delta hedging and implied-volatility extraction: if dealer gamma positioning moves realized vol, then implied volatility levels and the implied-realized spread partly reflect market-wide inventory rather than pure expectations. The reconstruction of aggregated market-maker gamma from trade repository data, and the quantified magnitudes (roughly 0.7% and 0.9% absolute volatility increase in EURUSD and USDJPY at −1000bn USD gamma), give a concrete scale for how much of FX spot volatility is attributable to hedging flow rather than information.

From the abstract We theoretically model and empirically quantify the feedback effect of delta hedging for the spot market volatility of the forex market. We start from an economy with two types of traders, an aggregated option market maker (OMM) and an aggregated option…

Read the paper doi:10.1016/j.jimonfin.2022.102627

Relevance to options markets written from the abstract, not the paper

This paper directly documents how scheduled macroeconomic releases affect the implied volatility of equity and Treasury options: when ex-ante uncertainty (measured from economic derivatives prices) is high, implied volatilities fall more sharply once the number is announced. That gives an event-driven decomposition of the volatility surface's level into a resolvable macro-uncertainty component and a residual, which matters for interpreting implied volatility around known release dates rather than treating it as a stationary risk premium. The accompanying findings on post-release volume increases and open-interest declines indicate options are being used to take and unwind exposure to macro news, so option-implied measures around these dates partly reflect hedging and speculative flow tied to the announcement calendar.

From the abstract Abstract We establish an empirical link between the ex-ante uncertainty about macroeconomic fundamentals and the ex-post resolution of this uncertainty in financial markets. We measure macroeconomic uncertainty using prices of economic derivatives and relate…

Read the paper doi:10.1093/rof/rfn025

Relevance to options markets written from the abstract, not the paper

The paper concerns minimum-variance hedge ratios for a cash position with stochastic output and outside wealth, and its direct subject is the level of hedging demanded rather than option pricing or implied volatility. Two points carry over by analogy: the minimum-variance criterion is the same objective that underlies variance-minimizing delta hedges, so the finding that quantity (production) uncertainty sharply lowers optimal hedge ratios speaks to settings where the hedged exposure itself is random rather than contractually fixed; and the conclusion that transaction costs normally dismissed as negligible become decisive once net hedging benefits shrink is relevant to how costs are treated in disc

From the abstract The most important minimum-variance hedging ration assumptions are (a) that production is deterministic and (b) that all of the agent's wealth is invested in the cash position. Stochastic production greatly reduces optimal hedge ratios. An alternative…

Read the paper doi:10.22004/ag.econ.30990

Relevance to options markets written from the abstract, not the paper

This is Carhart's four-factor performance study; it concerns mutual fund return persistence, expenses, and momentum, and says nothing about options, so its bearing on options markets is indirect. The one substantive connection is the factor framework itself: the finding that common factors in stock returns account for most cross-sectional return persistence supports the use of such factors as the risk-adjustment benchmark when option-implied measures — variance risk premia, implied-volatility spreads, or option-based return predictors — are tested for abnormal performance. It also underscores that apparent persistence in any strategy's returns, including option-based ones, may reflect factor exposure and costs rather than informed skill.

From the abstract ABSTRACT Using a sample free of survivor bias, I demonstrate that common factors in stock returns and investment expenses almost completely explain persistence in equity mutual funds' mean and risk‐adjusted returns. Hendricks, Patel and Zeckhauser's (1993)…

Read the paper doi:10.1111/j.1540-6261.1997.tb03808.x

Relevance to options markets written from the abstract, not the paper

Analyst forecast dispersion is a cross-sectional measure of disagreement about firm fundamentals, and the finding that high-dispersion stocks underperform because pessimists are kept out of the market ties directly to the short-sale-constraint channel that options markets partially relieve — option-implied quantities such as put-call parity deviations or implied volatility spreads are often read as gauges of the same suppressed pessimism. The paper's explicit rejection of dispersion as a risk proxy also matters for anyone using forecast dispersion as a fundamentals-based predictor of return volatility or as a benchmark for implied volatility levels: on this evidence, high disp

From the abstract ABSTRACT We provide evidence that stocks with higher dispersion in analysts' earnings forecasts earn lower future returns than otherwise similar stocks. This effect is most pronounced in small stocks and stocks that have performed poorly over the past year.…

Read the paper doi:10.1111/0022-1082.00490

Relevance to options markets written from the abstract, not the paper

The paper's subject is statistical inference for factor discovery: after decades of data mining across hundreds of published factors, conventional t-statistic thresholds understate the false-discovery rate, and the authors argue a new factor needs a t-statistic above roughly 3.0. Its bearing on options markets is indirect — the abstract concerns the cross-section of equity returns and makes no reference to options, implied volatility, or hedging. The connection, such as it is, is methodological: any claim that an option-implied quantity (implied volatility level, skew, implied-realized spreads, option-implied moments) predicts returns is a candidate discovery drawn from the same crowded search space, so the elevated significance hurdle and the

From the abstract Hundreds of papers and factors attempt to explain the cross-section of expected returns.Given this extensive data mining, it does not make sense to use the usual criteria for establishing significance.Which hurdle should be used for current research?Our paper…

Read the paper doi:10.1093/rfs/hhv059

Relevance to options markets written from the abstract, not the paper

This is a cross-sectional equity return study: it attributes much of individual-stock momentum to persistence in industry-level return components, and finds industry-sorted strategies remain profitable after controlling for size, book-to-market, stock momentum, return dispersion, and microstructure effects. The abstract makes no claims about option prices, implied volatility, or hedging, so its bearing on options markets is indirect. The one methodological carryover is the unit of aggregation: if predictable variation in returns lives largely at the industry level rather than the firm level, then panels of option-implied measures — implied volatility, skew, implied correlation — may likewise be more informative when gr

From the abstract This paper documents a strong and prevalent momentum effect in industry components of stock returns which accounts for much of the individual stock momentum anomaly. Specifically, momentum investment strategies, which buy past winning stocks and sell past…

Read the paper doi:10.1111/0022-1082.00146

Relevance to options markets written from the abstract, not the paper

This is a conditional asset-pricing study: it shows that betas on lagged predictive variables (the same ones known to forecast stock and bond returns over time) help explain the cross section of stock portfolio returns beyond Fama-French and Elton-Gruber-Blake factors. Its bearing on options markets is indirect, since the abstract addresses equity risk analysis, performance measurement, and cost of capital rather than derivatives. The closest connection is conceptual: if expected returns and factor loadings vary with observable state variables, then the physical-measure drift and risk premia used when comparing option-implied quantities to realized outcomes are also state-dependent, so unconditional benchmarks may misstate premium estimates. Any such extension is beyond what the abstract establishes.

From the abstract Previous studies identify predetermined variables that predict stock and bond returns through time. This paper shows that loadings on the same variables provide significant cross‐sectional explanatory power for stock portfolio returns. The loadings are…

Read the paper doi:10.1111/0022-1082.00148

Relevance to options markets written from the abstract, not the paper

This is a cross-sectional equity return-predictability study: it identifies momentum, size, turnover and analyst coverage as predictors of REIT returns and documents that momentum is strongest among large, liquid REITs after 1990. Nothing in the abstract concerns option prices, implied volatility or hedging, so the bearing on options markets is indirect — the results describe the physical-measure drift of the underlying, whereas option valuation depends on the risk-neutral distribution. The one point of contact is interpretive: characteristics such as turnover and past returns, which the paper links to realized return differences, are also candidate conditioning variables when comparing option-implied moments to subsequent realized outcomes for real-estate equities, though the paper itself makes no such comparison.

From the abstract In this study, we examine the cross‐sectional determinants of expected REIT returns. We examine both the pre‐ and post‐1990 periods, since the structure of the REIT market changed substantially around 1990. The determinants of expected returns differ between…

Read the paper doi:10.1111/1540-6229.00073

Relevance to options markets written from the abstract, not the paper

This is a cross-sectional equity return study: momentum profits are positive after up markets, negative after down markets, and up-market momentum reverses over long horizons, with macroeconomic factor conditioning failing to explain the pattern. Its bearing on options markets is indirect, since no options, implied volatilities, or derivative prices are examined. The closest connection is conceptual: documented state dependence in the sign of return continuation and its long-run reversal implies that the conditional distribution of multi-month stock returns depends on the prior market state, which is the kind of path dependence that option-implied measures of skewness and term structure would have to reflect if it were priced — but the paper itself makes no such measurement.

From the abstract ABSTRACT We test overreaction theories of short‐run momentum and long‐run reversal in the cross section of stock returns. Momentum profits depend on the state of the market, as predicted. From 1929 to 1995, the mean monthly momentum profit following positive…

Read the paper doi:10.1111/j.1540-6261.2004.00665.x

Relevance to options markets written from the abstract, not the paper

Documented return persistence at one- to 12-month horizons and reversal at longer horizons implies the physical-measure dynamics of these futures depart from a random walk, which matters for any option-implied measure that is read as a forecast of future realized outcomes: risk-neutral densities and implied volatilities extracted from index, currency, commodity, and bond futures options embed no such drift structure, so gaps between implied and subsequently realized distributions may reflect predictable trend components rather than pure risk premia. The finding that a diversified time series momentum portfolio performs best in extreme markets and has little loading on standard factors describes

From the abstract We document significant “time series momentum” in equity index, currency, commodity, and bond futures for each of the 58 liquid instruments we consider. We find persistence in returns for one to 12 months that partially reverses over longer horizons,…

Read the paper doi:10.1016/j.jfineco.2011.11.003

Relevance to options markets written from the abstract, not the paper

This is a methodological contribution to factor-model inference in equity cross-sections: it argues that decades of data mining invalidate conventional t-statistic thresholds and proposes a multiple-testing framework yielding a hurdle near 3.0. Its bearing on options markets is indirect but practical for anyone mining large computed option datasets — implied volatility levels, skews, term-structure slopes, variance risk premia, and option-based return predictors are searched over many candidate specifications, and the same multiple-testing logic governs how much of a reported effect should be believed. The paper offers no results on pricing, hedging, or the volatility surface itself; it speaks to how evidence about such quantities should be evaluated.

From the abstract Hundreds of papers and factors attempt to explain the cross-section of expected returns. Given this extensive data mining, it does not make sense to use the usual criteria for establishing significance. Which hurdle should be used for current research? Our…

Read the paper doi:10.1093/rfs/hhv059

Relevance to options markets written from the abstract, not the paper

This is a review of machine-learning models for forecasting stock direction and their reconciliation with market efficiency; it does not address option pricing, implied volatility, or hedging, so its bearing on options markets is indirect. The methodological points that transfer most directly are the warnings about backtest overfitting, regime dependence, and the gap between statistical significance and economic value after transaction costs — concerns that apply with added force to studies that use ML to forecast implied volatility surfaces or realized-versus-implied variance spreads, where quoted spreads and hedging costs are large. The paper's emphasis on evaluating models across market regimes is also relevant to interpreting option-implied measures, since volatility surface dynamics differ sharply between calm and stressed periods.

From the abstract This paper critically examines artificial intelligence applications in stock market forecasting, addressing significant gaps in the existing literature that often overlook the tension between theoretical market efficiency and empirical predictability. While…

Read the paper doi:10.3390/electronics14091721

Relevance to options markets written from the abstract, not the paper

The paper is a methodological contribution on multiple-testing bias: a Bayesian MCMC procedure that estimates the probability of backtest overfitting and deflates performance statistics such as the Sharpe ratio, demonstrated on technical trading rules rather than on derivatives. Its bearing on options markets is indirect but methodological — research that mines large families of signals from option-implied quantities (implied volatility levels, skew, term-structure slopes, or variance risk-premium proxies) faces the same selection problem the paper addresses, and reported out-of-sample performance for such signals can be adjusted with the estimator proposed here. Nothing in the abstract speaks to option pricing, surface construction, or hedging directly; the relevance is to how conf

From the abstract Quantitative investment strategies are often selected from a broad class of candidate models estimated and tested on historical data. Standard statistical techniques to prevent model overfitting such as out-sample backtesting turn out to be unreliable in…

Read the paper doi:10.3390/risks9010018

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.intfin.2021.101353

Relevance to options markets written from the abstract, not the paper

The work is about an objective function for training and validating equity trading strategies on 2010–2024 price data for 50 S&P 500 names; nothing in the abstract concerns options, implied volatility, or hedging, so any bearing on options markets is indirect and methodological. The relevant transfer is the evaluation protocol — walk-forward splits, Monte Carlo seed variation, and paired tests under non-normal returns — which is the same discipline needed when signals are built from computed option-implied quantities such as surface-derived skew or term-structure measures, where the number of candidate features invites data snooping. The reported generalization-ratio improvement is specific to the equity strategies tested and does not establish anything about pricing, implied volatility dynamics, or the reliability of option-implied measures.

From the abstract Overfitting remains a critical challenge in data-driven financial modelling, where machine learning (ML) systems learn spurious patterns in historical prices and fail out of sample and in deployment. This paper introduces the GT-Score, a composite objective…

Read the paper doi:10.3390/jrfm19010060

Relevance to options markets written from the abstract, not the paper

This is a cross-sectional equity study: it evaluates 299 firm-level anomalies across 30 machine learning methods and finds large out-of-sample monthly returns that survive transaction costs and post-publication samples, which the authors read as evidence of non-linear mispricing rather than risk compensation. Nothing in the abstract concerns option prices, implied volatility, or hedging, so the bearing on options markets is indirect. The closest connection is conceptual: option-implied measures are often interpreted by comparing risk-neutral expectations to physical-measure forecasts, and work documenting non-linear predictability in stock returns speaks to how well the physical-side forecast is specified — but the paper itself makes no such claim.

From the abstract Abstract We examine the predictability of 299 capital market anomalies enhanced by 30 machine learning approaches and over 250 models in a dataset with more than 500 million firm-month anomaly observations. We find significant monthly (out-of-sample) returns…

Read the paper doi:10.1007/s11156-022-01099-z

Relevance to options markets written from the abstract, not the paper

This is a study of technical trading rules on BTC/USDT and ETH/USDT spot pairs, using reality-check and stepwise data-snooping tests; it makes no reference to options, implied volatility, or hedging, so its bearing on options markets is indirect. The relevant connection is the finding that in-sample profitable rules failed out-of-sample after multiple-testing corrections, which supports weak-form efficiency in crypto — a background condition often assumed when interpreting option-implied measures on crypto underlyings as forward-looking rather than as reflections of exploitable price predictability. The data-snooping methodology itself is also the type of correction applicable to any large-scale search over signals constructed from option-implied quantities, where the number of candidate rules is similarly large.

From the abstract We present a comprehensive analysis of the profitability of technical trading strategies that were successful within the sample period for the cryptocurrency pairs BTC/USDT and ETH/USDT. The study covers the time period from August 2017 to October 2023 and…

Read the paper doi:10.12691/jfe-11-4-2

Relevance to options markets written from the abstract, not the paper

The paper documents lunar-phase effects on index returns in a subset of 59 markets, estimated within a TGARCH specification that also captures asymmetric conditional variance—the same class of model used to generate volatility forecasts that anchor option pricing benchmarks. Its direct claims concern the conditional mean of returns and interactions with Monday and January effects, not implied volatilities, option prices, or hedging, so the bearing on options markets is indirect: the results would matter mainly as a question of whether calendar-dated conditional-variance or drift patterns leave any trace in short-dated implied volatility across the listed markets. The abstract reports no test of option-implied measures and no evidence on whether lunar timing is priced in the volatility surface.

From the abstract We employ recent data from 59 international emerging and mature stock markets to provide new evidence of a lunar cycle (full and new moon) effect on their stock market returns. Using a threshold generalised autoregressive conditional heteroscedasticity…

Read the paper doi:10.1177/0972652712473405

Relevance to options markets written from the abstract, not the paper

The paper studies equities—individual investor order flow and NYSE spreads—and does not examine options data, so its bearing on options markets is indirect. Its central finding, that weather-linked return patterns shrink to insignificance once bid–ask spreads are controlled for, points to market-maker behavior as the channel; this matters for option-implied measures because implied volatilities and risk-neutral densities are typically backed out from quoted prices, and systematic variation in liquidity-provider spreads translates mechanically into variation in inferred implied volatility levels and in the width of the volatility surface. It also supplies a testable premise for the options archive: if the effect resides with agents physically at the exchange rather than with end investors, exchange-located weather should show up in quoted option spreads and in the noise component of implied vol, not in retail-driven demand for partic

From the abstract Abstract There is considerable empirical evidence that emotion influences decision‐making. In this paper, we use a database of individual investor accounts to examine the weather effects on traders. Our analysis of the trading activity in five major US cities…

Read the paper doi:10.1111/j.1354-7798.2005.00298.x

Relevance to options markets written from the abstract, not the paper

This is an equity-return seasonality study: it documents lower average Warsaw Stock Exchange index returns in nine-day windows centered on full moons than around new moons, with additional splits by size, calendar month, and half-of-the-month. The abstract reports nothing about option prices, implied volatility, or realized volatility, so any bearing on options markets is indirect — it concerns the conditional mean of index returns rather than the second moment that drives option premia. The most direct connection an archive user could test is whether calendar-linked patterns of this kind appear in the term structure or level of index implied volatility, or in the implied-vol skew, which would require separate options data not analyzed here.

From the abstract Purpose – The paper examines the popular belief that the cycles of the moon affect human moods, which is then reflected in investor behaviour. Hence, the relation between lunar phases and equity returns in Poland was examined. Design/methodology/approach –…

Read the paper doi:10.18276/frfu.2017.89/2-10

Relevance to options markets written from the abstract, not the paper

The study documents a return differential across new-moon and full-moon halves of the lunar cycle in the BSE Sensex and Nifty 50, but reports nothing about volatility, so its direct implications for option pricing are limited: under risk-neutral valuation, a predictable drift in the underlying does not by itself change option values, whereas a cyclical pattern in realized variance would. Its bearing on options markets is therefore indirect — the natural follow-up, which the abstract does not address, is whether any comparable 15-day periodicity appears in realized or implied volatility on Nifty index options, one of the most heavily traded index options markets. Absent such evidence,

From the abstract The study aims to understand the lunar phases and its impact on stock return, examining moon related mood swings and investment behaviour. Focus is directed to empirically test the impact of moon phase on stock market return, wherein moon phases are taken as…

Read the paper doi:10.58885/ijbe.v06i2.315.kk

Relevance to options markets written from the abstract, not the paper

The study tests only whether median daily log returns on new-moon and full-moon days differ from zero for CEE equity indexes; it reports no results on volatility, return distributions, or any derivative instrument, so its bearing on options markets is indirect. A calendar regularity in the drift of an index would not by itself change option prices, which depend on the conditional variance and higher moments of returns rather than the mean, and the abstract offers no evidence on those quantities. The most it suggests for option-implied measures is that deterministic date effects are one candidate source of day-of-sample heterogeneity when comparing implied volatility or realized-variance estimates on CEE indexes across the 2020–2024 window, and even that link is untested here.

From the abstract The main objective of this study is to verify the occurrence of the moon phases effect among market indexes listed on the stock exchanges of CEE countries in the years 2020-2024 (period of increased market uncertainty). Based on the daily quotations of…

Read the paper doi:10.34659/eis.2025.95.4.1087

Relevance to options markets written from the abstract, not the paper

The paper models weather effects on returns, volume, and trading value for Warsaw-listed energy companies, with GARCH specifications providing the best fit — meaning the estimated conditional variance dynamics are the channel most directly relevant to option pricing, since a weather-conditioned variance equation implies a determinant of realized and forecast volatility that is not in standard option pricing inputs. If weather variables carry explanatory power in the variance process, they would map into short-dated implied volatility levels and term-structure slope for these names, and the abstract's behavioral framing suggests any such effect is a sentiment artifact rather than a fundamental one. The work itself is about equity market parameters and does not examine options, implied volatility, or hedging, so the connection is inferential and rests on the volatility modeling rather than on any option-market evidence.

From the abstract Recent researches on behavioral finance have tested for, among others, evidence for the relations between weather, investors’ mood, and investment decisions. Many of the researches related to the influence of some weather factors, such as sunshine duration on…

Read the paper doi:10.3390/en14061536

Relevance to options markets written from the abstract, not the paper

This is a review of tidal range power plant engineering, resource assessment, and plant optimization; it contains no options pricing, volatility, or derivatives content, so its bearing on options markets is indirect. The one substantive connection is through the abstract's emphasis that tidal energy is highly predictable and that generation variability can be partially offset by phase-complementary lagoon siting and storage — features that shape the stochastic structure of power supply that electricity price volatility models, and hence energy option valuation and implied volatility surfaces, are built on. Any such link is a matter of downstream power-market modeling rather than anything the paper itself addresses.

From the abstract Tidal energy is one of the most predictable forms of renewable energy. Although there has been much commercial and R&D progress in tidal stream energy, tidal range is a more mature technology, with tidal range power plants having a history that extends back…

Read the paper doi:10.1016/j.renene.2018.05.007

Relevance to options markets written from the abstract, not the paper

The study estimates a two-state Markov switching model of daily returns in African equity markets and finds that day-of-the-week return patterns appear in one regime and vanish in the other, with most markets spending more time in the bear state. Its bearing on options markets is indirect: the abstract concerns return predictability and calendar effects in cash equity indices, not derivatives, and African markets are not described as having traded options. The closest connection is methodological — the documented regime structure in daily returns is the kind of input that regime-switching pricing models use to generate a term structure and skew in implied volatility, and the reported asymmetry in regime persistence would map onto differing conditional volatility states, but the abstract reports no volatility parameters or option data to support that step.

From the abstract In line with the Adaptive Market Hypothesis (AMH), the objective of this study is to investigate how the day‑of‑the‑week (DOW) effect behaves under different bull and bear market conditions in African stock markets, and to examine the likelihood of being in a…

Read the paper doi:10.2478/cer-2019-0028

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jempfin.2005.06.001

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jbankfin.2011.10.010

Relevance to options markets written from the abstract, not the paper

The provided abstract contains only a publisher link and no substantive content, so nothing about methods, data, or findings can be characterized here. From the title alone, the work concerns calendar-based patterns in Treasury returns, which is a cash-market return-predictability question rather than a statement about option prices, implied volatility, or hedging. Any bearing on Treasury options — for instance, whether seasonal effects in the underlying show up as recurring patterns in implied volatility or in the drift assumptions behind option-implied measures — is indirect and not supported by the text supplied.

From the abstract The final publication is available from now publishers via http://dx.doi.org/10.1561/104.00000021.

Read the paper doi:10.1561/104.00000021

Relevance to options markets written from the abstract, not the paper

The paper's direct subject is health outcomes, not derivatives, so its bearing on options markets runs through preferences rather than prices. Its finding that market declines impose an immediate psychological cost — consistent with

From the abstract ABSTRACT Using individual patient records for every hospital in California from 1983 to 2011, we find a strong inverse link between daily stock returns and hospital admissions, particularly for psychological conditions such as anxiety, panic disorder, and…

Read the paper doi:10.1111/jofi.12386

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jempfin.2004.01.002

Relevance to options markets written from the abstract, not the paper

The paper's finding that both returns and risk (volatility) sensitivities vary with the seasonal affective disorder cycle in 6 of 11 CEE/SEE markets speaks to deterministic seasonality in conditional variance, which is the object that option pricing models discretize into a term structure of implied volatility; a documented annual cycle in risk aversion would imply calendar-dependent variance forecasts rather than a stationary level. Because the abstract frames the risk channel as time-varying investor risk aversion, it also touches the interpretation of option-implied risk premia, where the wedge between implied and realized volatility is commonly read as a preference-driven quantity. That said, the study tests equity index returns and volatility directly and reports nothing about listed options, and the sampled markets have limited or absent exchange-traded options, so any bearing on options pricing is indirect and would require separate verification.

From the abstract Effects of seasonal affective disorder (SAD) are explored on several selected Central and South East European markets in this study for the period 2010–2018. Both return and risk sensitivities on the SAD effect are examined for 11 markets in total (Bosnia and…

Read the paper doi:10.3390/risks6040140

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.jbankfin.2022.106623

Relevance to options markets written from the abstract, not the paper

This paper documents a seasonal pattern in Shenzhen and Shanghai index returns tied to daylight length, which it attributes to SAD-driven changes in investor risk attitudes. Because it examines realized index returns only and says nothing about option prices, the bearing on options markets is indirect: the natural follow-up is whether the same calendar structure appears in implied volatility levels, the skew, or the gap between implied and subsequently realized variance on Chinese index options, since a seasonally varying risk premium would in principle leave a trace in option-implied measures. As stated, the result is a claim about the conditional mean of returns, not about volatility or hedging costs, and the abstract offers no evidence that the effect is priced in der

From the abstract This paper investigates the role of seasonal affective disorder (SAD) in the seasonal time-variation of stock market returns. With the data of Shenzhen and Shanghai stock exchanges and controlling for other well-known market seasonal, stock returns are shown…

Read the paper

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.annals.2016.06.004

Relevance to options markets written from the abstract, not the paper

This is an empirical study of returns: it reports a negative association between the Ap-index of geomagnetic activity and S&P 500 returns, amplified by market liquidity, and argues the effect is not driven by the known semiannual cycle in geomagnetic activity. The abstract makes no claim about volatility, option prices, or hedging, so any bearing on options markets is indirect — at most, a proposed mood-related driver of index returns that would sit alongside other sentiment variables studied as correlates of index option pricing. Testing whether the Ap-index relates to S&P 500 implied volatility levels, skew, or realized-implied spreads would require analysis the abstract does not contain.

From the abstract Geomagnetic activity with global influence is an essential object of space weather research and is a significant link in the section of the solar wind-magnetospheric coupling process. Research so far provides strong evidence that geomagnetic activity affects…

Read the paper doi:10.1155/2019/2748062

Relevance to options markets written from the abstract, not the paper

The paper's direct output is a set of weather-to-return, weather-to-volume, and weather-to-conditional-volatility estimates for German equity indices, and its main finding is null for most weather variables: only air pressure shows a possibly consistent effect. For anyone modeling index volatility — the input to DAX-family implied volatility surfaces and to realized-versus-implied comparisons — this argues that GARCH-style conditional variance for these indices does not carry an exploitable weather-driven component, so weather is not a useful conditioning variable for volatility forecasts benchmarked against option-implied levels. The abstract does not study options, implied volatility, or hedging, and the trading-volume results are for cash-market small- and mid-cap indices, so any link to options pricing is indirect and runs only through the underlying return and vol

From the abstract Abstract This paper examines the impact of weather phenomena on the German stock market, evaluating cloud cover, humidity, air pressure, precipitation, temperature, and wind speed as weather variables. We use stock market data (returns, trading volume, and…

Read the paper doi:10.1007/s41471-021-00125-5

Relevance to options markets written from the abstract, not the paper

The study uses VIX as a proxy for contemporaneous investor mood rather than as a forecast of realized variance, and finds that the sign of the daily VIX change conditions whether large single-stock moves reverse or drift. That treats option-implied volatility as carrying a sentiment component alongside expected variance, which is relevant to how VIX levels and changes are interpreted in forecasting and in variance risk premium work. The analysis is on stock returns and index-level implied volatility only — it does not examine individual-name implied vols, surface shape, or hedging, so any implication for single-stock option pricing around large moves is indirect.

From the abstract My study explores the effect of future volatility expectations, embedded in VIX index, on large daily stock price changes and on subsequent stock returns. Following both psychological and financial literature claiming that good (bad) mood may cause people to…

Read the paper doi:10.22158/ijafs.v1n2p94

No note yet. These are generated in batch; run make notes.

Read the paper doi:10.1016/j.ijforecast.2018.04.005

Relevance to options markets written from the abstract, not the paper

This is a securities-law policy argument that regulators should weigh affective variables — investor confidence, market exuberance, social mood, financial stress — alongside conventional financial metrics when writing rules, and its bearing on options markets is indirect since options, implied volatility, and derivatives are not discussed. The closest connection runs through the abstract's claim that these affective states interact with market demand, liquidity, prices, and volume; to the extent option-implied measures such as implied volatility levels or skew are read as sentiment or confidence proxies, the paper's framing treats such sentiment as partly a product of disclosure regimes and rulemaking process rather than as an exogenous state variable. Researchers using implied-volatility-derived confidence or fear indicators around regulatory events may find the paper's catalog of affective channels (mandatory disclosure, gun-jumping rules, literacy campaigns, default rules) useful for identifying which policy actions plausibly sh

From the abstract This Article advocates that securities regulators promulgate rules based upon taking into consideration their impacts upon investors' and others' affect, happiness, and trust. Examples of these impacts are consumer optimism, financial stress, anxiety over how…

Read the paper