We document that a theoretically founded, real-time, and easy-to-implement option-based measure, termed synthetic-stock difference (SSD), accurately estimates the part of stock's expected return arising from stock's transaction costs. We calculate SSD for U.S. optionable stocks. SSD can be more...

This paper analyzes the valuation of day-ahead Physical Transmission Rights (PTRs) on the German-Dutch interconnector. From a financial perspective, PTRs are options written on the difference between the German and Dutch hourly electricity prices. We propose a model for the valuation of...

Aggregate implied volatility spread (IVS), defined as the cross-sectional average difference in the implied volatilities of at-the-money call and put equity options, is significantly and positively related to future stock market returns at daily, weekly, monthly, to semiannual horizons. This...

We propose a novel model-free approach to obtain the joint risk-neutral distribution among several assets that is consistent with market prices of options on these assets and their weighted index. In an empirical application, we use options on the S&P 500 index and its nine industry sectors. The...

We examine whether option prices correct for predictable bias in stock prices associated with accounting anomalies. Evidence from put-call parity violations suggests that they do not. Rather, option prices accurately track contemporaneous stock prices. Further analysis suggests that high costs...

We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and probability of the market crashes, beyond and above...

We study a new constrained equity premium forecasting approach which employs the option-implied lower bounds for the conditional market premium from Martin (2017) and Chabi-Yo and Loudis (2020), respectively, as forecast constraints. This constrained approach delivers considerable out-of-sample...