In this study, we separately estimate the implied volatility from bid prices and ask prices ofdeep out-of-the-money (OTM) put options on the S&P500 index. We find that the impliedvolatility of ask prices has stronger stock return predictability than that of bid prices. Our finding is robust to...

We re-examine dividend growth and return predictability evidence using 165 years of data from the Brussels Stock Exchange. The conventional wisdom holds that time-varying dividend yield is predominately explained by changes in expected returns and that expected dividend growth is only weakly...

This paper presents a synthesized model explaining the returns of short-sale constrained stocks. We combine short-sale constraints that were previously treated individually or in pairs into a more fully specified model. The model is also specified in generally falling versus generally rising...

When a stock market crash is defined as the period from an index's prior peak until its recovery, crashes demonstrate empirical regularities in their scale and timing. For instance, measures of the duration, maximum decline, and lost value of crashes are very highly correlated. These...

We extract cycles from the term spread and study their role for predicting the equity premium using linear models. When properly extracted, the trend of the term spread is a strong and robust out-of-sample equity premium predictor, both from a statistical and an economic point of view. It...

We investigate the impact of China's economic policy uncertainty (EPU) on the time series variation of Chinese stock market expected returns. Using the news based measure in Baker, Bloom, and Davis (2016), we find that EPU predicts negatively future stock market return at various horizons. This...

Using 1990 through 2013 data of U.S. firms with foreign operations, we show that (1) the serial correlation of analyst forecast errors increases to the degree that firms diversify internationally, (2) post-earnings-announcement drift (PEAD) based on analyst forecast errors increases to the...

This paper constructs a manager sentiment index based on the aggregated textual tone of corporate financial disclosures. We find that manager sentiment is a strong negative predictor of future aggregate stock market returns, with monthly in-sample and out-of-sample R2 of 9.75% and 8.38%,...

This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample...

The article deals with a class of stochastic processes, the Multifractional Processes with Random Exponent (MPRE), recently introduced to gain flexibility in modeling many complex phenomena. We claim that MPRE can capture in a very parsimonious way most of the well known financial stylized...