Financial markets are seen as one of the most important markets in economic terms. The activities of investors in the financial markets consist in predicting how best to invest the accumulated capital, using all kinds of analyzes and forecasts. In the literature on the subject, apart from...

Recent literature suggests that trading by institutional investors may affect the first and second moments of returns. Elaborating on this intuition, we conjecture that arbitrageurs can propagate liquidity shocks between related markets. The paper provides evidence in this direction by studying...

This paper builds a model of high-frequency equity returns by separately modeling the dynamics of trade-time returns and trade arrivals. Our main contributions are threefold. First, we characterize the distributional behavior of high-frequency asset returns both in ordinary clock time and in...

This paper provides an empirical study on the predictability of implied volatility using dataset collected from the London over-the-counter currency option market. The present work is motivated by the lack of empirical studies that address implied volatility characteristics across various...

In 2008, the S&P500 aggregated a loss of 30.16% during three selected days. Unfortunately, benchmark risk measures didn't forecast these hazards. Consequently, we witness a growing interest in coherent risk measures, sensitive to high moments and heavy tail risk. Such measures were proposed by...

This paper aims at providing new insights on the pricing of aggregate volatility risk by incorporating investor sentiment in the relation between sensitivity to innovations in implied market volatility and expected stock returns. Using both cross-sectional and time series analysis, we...

Low probability events are overweighted in the pricing of out-of-the-money index puts and single stock calls. We show that such a behavioral bias is strongly time-varying and is linked to equity market sentiment and higher moments of the risk-neutral density. We find that our implied volatility...

Recent empirical literature shows that Internet search activity is closely associated with volatility prediction in financial and commodity markets. In this study, we search for a benchmark model with available market-based predictors to evaluate the net contribution of the Internet search...

In this paper we document that at the aggregate stock market level the unexpected volatility is negatively related to expected future returns and positively related to future volatility. We demonstrate how the predictive ability of unexpected volatility can be utilized in dynamic asset...

In this paper, I examine whether stock return dispersion (RD) provides useful information about future stock returns. RD consistently forecasts a decline in the excess market return at multiple horizons, and compares favorably with alternative predictors used in the literature. The out-of-sample...