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Option-Implied Risk Aversion Estimates

Author : Robert R. Bliss
Publisher :
Page : 40 pages
File Size : 15,94 MB
Release : 2005
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ISBN :

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Cross-sections of option prices embed the risk-neutral probability densities functions (PDFs) for the future values of the underlying asset. Theory suggests that risk-neutral PDFs differ from market expectations due to risk premia. Using a utility function to adjust the risk-neutral PDF to produce subjective PDFs, we can obtain measures of the risk aversion implied in option prices. Using FTSE 100 and Samp;P 500 options, and both power and exponential utility functions, we show that subjective PDFs accurately forecast the distribution of realizations, while risk-neutral PDFs do not. The estimated coefficients of relative risk aversion are all reasonable. The relative risk aversion estimates are remarkably consistent across utility functions and across markets for given horizons. The degree of relative risk aversion declines with the forecast horizon and is lower during periods of high market volatility.

Option Implied Risk Aversion Under Transaction Costs

Author : Siying Zhou
Publisher :
Page : 66 pages
File Size : 33,16 MB
Release : 2018
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We empirically estimate the option implied coefficient of risk aversion of the market maker for European S&P 500 index options (SPX), involving asset allocation and option market making problems in the presence of proportional transaction costs in trading the underlying asset. We assume that the market maker has constant relative risk aversion utility and holds a two-asset portfolio consisting of the underlying and the riskless asset for a fixed, finite investment horizon which exceeds the option maturity, and she enters a position in the option market with an optimized portfolio. We follow the discrete time approach of Czerwonko and Perrakis (2016a, 2016b) to derive the market maker's simple investment policy and value functions, and apply a value matching condition to find option upper and lower bounds. Data on the S&P 500 index and the SPX options is collected over the period 1996-2016, 244 months in total, and the major variable, volatility, is re-estimated under the physical distribution. By matching observed SPX prices with numerically derived reservation prices, we estimate the level of implied risk aversion. Results show that in general, the market maker has lower risk aversion compared to investors who she trades with in order to accomplish a trade. A pattern that high risk aversion precedes rare market events is also exhibited, suggesting that a market maker may adopt a waiting policy if market events can be anticipated due to the information asymmetry.

Recovering Risk Aversion from Options

Author : Robert R. Bliss
Publisher :
Page : 38 pages
File Size : 23,90 MB
Release : 2005
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ISBN :

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Cross-sections of option prices embed the risk-neutral probability densities functions (PDFs) for the future values of the underlying asset. Theory suggests that risk-neutral PDFs differ from market expectations due to risk premia. Using a utility function to adjust the risk-neutral PDF to produce subjective PDFs, we can obtain measures of the risk aversion implied in option prices. Using FTSE 100 and Samp;P 500 options, and both power and exponential utility functions, we show that subjective PDFs accurately forecast the distribution of realizations, while risk-neutral PDFs do not. The estimated coefficients of relative risk aversion are all reasonable. The relative risk aversion estimates are remarkably consistent across utility functions and across markets for given horizons. The degree of relative risk aversion declines with the forecast horizon and is lower during periods of high market volatility.

Extracting Information from Options Markets; Smiles, State-Price Densities and Risk-Aversion

Author : Christophe Perignon
Publisher :
Page : 46 pages
File Size : 34,36 MB
Release : 2013
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In this paper, recent techniques of estimating implied information from derivatives markets are presented and applied empirically to the French derivatives market. We determine nonparametric implied volatility functions, state-price densities and historical densities from a high-frequency stock index option dataset. Moreover, we construct an estimator of the risk-aversion function implied by the joint observation of the cross-section of option prices and time-series of underlying asset value. We report a decreasing implied volatility curve with respect to the moneyness of the option, which holds true whatever the time-to-maturity considered. The estimated relative risk-aversions function are positive over the largest part of the considered range of levels of the stock index, implying a concave utility function, and are globally consistent with the decreasing relative risk-aversion (DRRA) assumption. However, once the tails of the state-price density and of the historical density left out, we observe that the relative risk-aversion function fluctuates around its mean attesting that the constant relative risk-aversion assumption (CRRA) may be locally accepted. Finally, the average level of relative risk-aversion is in accordance with the results reported by other studies using option data. However, this value is dramatically lower than the figures reported by studies based on consumption data, such as Mehra and Prescott (1985).

Dynamic Estimation of Volatility Risk Premia and Investor Risk Aversion from Option-implied and Realized Volatilities

Author : Tim Bollerslev
Publisher :
Page : 60 pages
File Size : 47,26 MB
Release : 2004
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"This paper proposes a method for constructing a volatility risk premium, or investor risk aversion, index. The method is intuitive and simple to implement, relying on the sample moments of the recently popularized model-free realized and option-implied volatility measures. A small-scale Monte Carlo experiment suggests that the procedure works well in practice. Implementing the procedure with actual S&P 500 option-implied volatilities and high-frequency five-minute-based realized volatilities results in significant temporal dependencies in the estimated stochastic volatility risk premium, which we in turn relate to a set of underlying macro-finance state variables. We also find that the extracted volatility risk premium helps predict future stock market returns"--Abstract.

Risk-Adjusted Option-Implied Moments

Author : Felix Brinkmann
Publisher :
Page : 35 pages
File Size : 39,18 MB
Release : 2016
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Option-implied moments, like implied volatility, contain useful information about an underlying asset's return distribution but are derived under the risk-neutral probability measure. This paper provides a direct way of converting risk-neutral moments into the corresponding physical moments, which are required for many applications. The main result is a representation of physical moments in terms of observed option prices and a representative investor's preferences. As an empirical application of this result, we provide implied estimates of the representative stock market investor's disappointment aversion using S&P 500 index option prices. We find that disappointment aversion has a procyclical pattern. It is high in times of high index levels and declines when the index falls. We confirm the view that investors with high risk aversion and disappointment aversion leave the stock market during times of turbulence and reenter it after a period of high returns.

Option Implied Moments and Risk Aversion

Author : Flavio Nardi
Publisher :
Page : 32 pages
File Size : 39,84 MB
Release : 2018
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In this paper I provide empirical evidence that index options implied higher moments can predict the index returns and Sharpe ratio. Specifically, I present a method to recover option implied subjective moments of the S &P500 index under the assumption of no arbitrage and logarithmic utility. Using index options prices and return data, I test the logarithmic utility assumption and obtain risk aversion estimates not statistically different from one at investment horizons of three to nine months. Under logarithmic utility, I show that the recovered subjective variance has forecasting power controlling for past realized variance. Interestingly, the risk neutral variance is larger than the subjective variance over the entire sample, an empirical fact that quantifies the implied variance premium for a log utility investor. Lastly, I also find that the forward looking Sharpe ratio implied by option prices has forecasting power; this finding can be adopted as a risk--adjusted market timing indicator to improve the return performance of either a passive indexing or a diversified portfolio investment strategy. For example, as a long term investor would rebalance their portfolio periodically to optimize or maintain their asset allocation targets (see for example, cite{ang2014asset}), they could use the option implied Sharpe ratio as a ``gauge'' of the overall market { it price level}. As such, they could take advantage of periods where there is a particularly high expected Sharpe ratio on the market to buy more of the market index when it is at lower valuation levels. Thus, this gauge serves as a reinforcing mechanism to buy low and sell high for periodic portfolio rebalancing.