Is Volatility Risk Priced in the Securities Market? Evidence from S&P 500 Index Options

Is Volatility Risk Priced in the Securities Market? Evidence from S&P 500 Index Options

Author: Yakup Eser Arısoy

Publisher:

Published: 2016

Total Pages: 45

ISBN-13:

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This article examines whether volatility risk is a priced risk factor in securities returns. Zero-beta at-the-money straddle returns of the Samp;P 500 index are used to measure volatility risk. It is demonstrated that volatility risk captures time variation in the stochastic discount factor, suggesting that straddle returns are important conditioning variables in asset pricing. The conditional model proposed here performs far better than its unconditional counterparts including the Fama-French three-factor model. Thus, we argue that investors use straddle returns when forming their expectations about securities returns. One interesting finding is that, different classes of firms react differently to volatility risk. For example, small firms and value firms have negative and significant volatility coefficients whereas big and growth firms have positive and significant volatility coefficients during high volatility periods, indicating that investors see these latter firms as hedges against volatile states of the economy. Overall, these findings have important implications for portfolio formation, risk management, and hedging strategies.


The Pricing of Short-term Market Risk

The Pricing of Short-term Market Risk

Author: Torben G. Andersen

Publisher:

Published: 2015

Total Pages: 0

ISBN-13:

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We study short-term market risks implied by weekly S&P 500 index options. The introduction of weekly options has dramatically shifted the maturity profile of traded options over the last five years, with a substantial proportion now having expiry within one week. Economically, this reflects a desire among investors for actively managing their exposure to very short-term risks. Such short-dated options provide an easy and direct way to study market volatility and jump risks. Unlike longer-dated options, they are largely insensitive to the risk of intertemporal shifts in the economic environment, i.e., changes in the investment opportunity set. Adopting a novel general semi-nonparametric approach, we uncover variation in the shape of the negative market jump tail risk which is not spanned by market volatility. Incidents of such tail shape shifts coincide with serious mispricing of standard parametric models for longer-dated options. As such, our approach allows for easy identification of periods of heightened concerns about negative tail events on the market that are not always "signaled" by the level of market volatility and elude standard asset pricing models.


Can Standard Preferences Explain the Prices of Out of the Money S&P 500 Put Options

Can Standard Preferences Explain the Prices of Out of the Money S&P 500 Put Options

Author: Luca Benzoni

Publisher:

Published: 2005

Total Pages: 62

ISBN-13:

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Prior to the stock market crash of 1987, Black-Scholes implied volatilities of S & P 500 index options were relatively constant across moneyness. Since the crash, however, deep out-of-the-money S & P 500 put options have become 'expensive' relative to the Black-Scholes benchmark. Many researchers (e.g., Liu, Pan and Wang (2005)) have argued that such prices cannot be justified in a general equilibrium setting if the representative agent has 'standard preferences' and the endowment is an i.i.d. process. Below, however, we use the insight of Bansal and Yaron (2004) to demonstrate that the 'volatility smirk' can be rationalized if the agent is endowed with Epstein-Zin preferences and if the aggregate dividend and consumption processes are driven by a persistent stochastic growth variable that can jump. We identify a realistic calibration of the model that simultaneously matches the empirical properties of dividends, the equity premium, the prices of both at-the-money and deep out-of-the-money puts, and the level of the risk-free rate. A more challenging question (that to our knowledge has not been previously investigated) is whether one can explain within a standard preference framework the stark regime change in the volatility smirk that has maintained since the 1987 market crash. To this end, we extend the model to a Bayesian setting in which the agent updates her beliefs about the average jump size in the event of a jump. Note that such beliefs only update at crash dates, and hence can explain why the volatility smirk has not diminished over the last eighteen years. We find that the model can capture the shape of the implied volatility curve both pre- and post-crash while maintaining reasonable estimates for expected returns, price-dividend ratios, and risk-free rates.


Options and the Volatility Risk Premium

Options and the Volatility Risk Premium

Author: Jared Woodard

Publisher: Pearson Education

Published: 2011-02-17

Total Pages: 49

ISBN-13: 0132756129

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Master the new edge in options trades: the hidden volatility risk premium that exists in options for every major asset class. One of the most exciting areas of recent financial research has been the study of how the volatility implied by option prices relates to the volatility exhibited by their underlying assets. Here, I’ll explain the concept of the volatility risk premium, present evidence for its presence in options on every major asset class, and show how to estimate, predict, and trade on it....


Handbook of Insurance

Handbook of Insurance

Author: Georges Dionne

Publisher: Springer Science & Business Media

Published: 2013-12-02

Total Pages: 1133

ISBN-13: 1461401550

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This new edition of the Handbook of Insurance reviews the last forty years of research developments in insurance and its related fields. A single reference source for professors, researchers, graduate students, regulators, consultants and practitioners, the book starts with the history and foundations of risk and insurance theory, followed by a review of prevention and precaution, asymmetric information, risk management, insurance pricing, new financial innovations, reinsurance, corporate governance, capital allocation, securitization, systemic risk, insurance regulation, the industrial organization of insurance markets and other insurance market applications. It ends with health insurance, longevity risk, long-term care insurance, life insurance financial products and social insurance. This second version of the Handbook contains 15 new chapters. Each of the 37 chapters has been written by leading authorities in risk and insurance research, all contributions have been peer reviewed, and each chapter can be read independently of the others.


Jump and Volatility Risk and Risk Premia

Jump and Volatility Risk and Risk Premia

Author: Pedro Santa-Clara

Publisher:

Published: 2004

Total Pages: 48

ISBN-13:

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We use a novel pricing model to filter times series of diffusive volatility and jump intensity from S&P 500 index options. These two measures capture the ex-ante risk assessed by investors. We find that both components of risk vary substantially over time, are quite persistent, and correlate with each other and with the stock index. Using a simple general equilibrium model with a representative investor, we translate the filtered measures of ex-ante risk into an ex-ante risk premium. We find that the average premium that compensates the investor for the risks implicit in option prices, 10.1 percent, is about twice the premium required to compensate the same investor for the realized volatility, 5.8 percent. Moreover, the ex-ante equity premium that we uncover is highly volatile, with values between 2 and 32 percent. The component of the premium that corresponds to the jump risk varies between 0 and 12 percent.


Asymmetric Volatility Risk

Asymmetric Volatility Risk

Author: Jens Carsten Jackwerth

Publisher:

Published: 2018

Total Pages: 34

ISBN-13:

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Asymmetric volatility concerns the relation of returns to future expected volatility. Much is known from option prices about the marginal risk-neutral distributions of S&P 500 returns and of relative changes in future expected volatility (VIX). While the bivariate risk-neutral distribution cannot be inferred from the marginals, we propose a novel identification based on long-dated index options. We estimate the risk-neutral asymmetric volatility implied correlation and find it to be significantly lower than its realized counterpart. We interpret the economics of the asymmetric volatility correlation risk premium and use asymmetric volatility implied correlation to predict returns, volatility, and risk-neutral quantities.


Option-Implied Downside Risk Premiums

Option-Implied Downside Risk Premiums

Author: Yao Li

Publisher:

Published: 2015

Total Pages: 53

ISBN-13:

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This article examines downside risk premiums using S&P 500 index (SPX) options. Portfolios are constructed using the index options to replicate the downside risk factors and their average excess returns provide estimates of downside risk premiums. We show that all the market risk premium comes from the downside. The mimicking portfolio returns also show that most of the downside risk premium is associated with large market-level losses that are rarely observed. In contrast, investors seem to require little excess return for bearing moderate market-level losses. Therefore, the downside risk premium is largely a tail risk premium. We compare the downside risk premiums measured from stocks and the options to examine whether the risk is priced consistently across the two markets. Our evidence raises several concerns about the downside risk premium measures from the stock market. Overall, we find no robust evidence that downside risks are priced in the stock market in the same way as in the options market.


Volatility and Time Series Econometrics

Volatility and Time Series Econometrics

Author: Mark Watson

Publisher: Oxford University Press

Published: 2010-02-11

Total Pages: 432

ISBN-13: 0199549494

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A volume that celebrates and develops the work of Nobel Laureate Robert Engle, it includes original contributions from some of the world's leading econometricians that further Engle's work in time series economics