We propose a nonparametric Bayesian approach for the estimation of the pricing kernel. Historical stock returns and option market data are combined through the Dirichlet Process (DP) to construct an option-adjusted physical measure. The precision parameter of the DP process is calibrated to the...

Option-implied betas are a promising alternative to historical beta estimators, because they are inherently forward-looking and can incorporate new information immediately and fully. Recently, different implied beta estimators have been developed in previous literature, but very little is known...

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 shows how to convert risk-neutral moments into the corresponding physical ones. The main theoretical...

The illiquidity of long-maturity options has made it difficult to study the term structures of option spanning portfolios. This paper proposes a new estimation and inference framework for these option-implied term structures that addresses long-maturity illiquidity. By building a sieve estimator...

During the market turmoil, and later in the year 2008, the Securities and Exchange Commission of Pakistan (SECP) decided to discontinue the trading in single stock futures (SSFs) at the Karachi Stock Exchange (KSE). On 27th July 2009, trading in SSFs were re-launched in those stocks which passed...

We test whether bear market risk - time-variation in the probability of future bear market states - is priced. We construct an Arrow-Debreu security that pays off in bear market states (AD Bear) from traded S&P 500 index options and use its returns to measure bear market risk. We find that bear...

We show that the prices of risk for factors that are nonlinear in the market return are readily obtained using index option prices. The price of co-skewness risk corresponds to the market variance risk premium, and the price of co-kurtosis risk corresponds to the market skewness risk premium....

Motivated by extensive evidence that stock-return correlations are stochastic, we analyze whether the risk of correlation changes (affecting diversification benefits) is priced. We propose a direct and intuitive test by comparing option-implied correlations between stock returns (obtained by...

The concerns regarding regulations of futures markets and their destabilizing ability are unresolved in both developed and developing markets. Following stringent regulations of single stock futures (SSFs) for resumption episode after financial crises, this study addresses this concern and...

We build on Fackler and King (1990) and propose a general calibration model for implied risk neutral densities. Our model allows for the joint calibration of a set of densities at different maturities and dates. The model is a Bayesian dynamic beta Markov random field which allows for possible...