This study aims at comparing Google Search Volume Indices (GSVIs—including market crash and bear market) and VIX (Investor Fear Gauge Index) in terms of explaining the S&P 500 returns. The VIX is found a more robust predictor of stock market returns than Google indices, and it does granger...

Using the next-day and next-week returns of stocks in the Korean market, we examine the association of option volume ratios - i.e. the option-to-stock (O/S) ratio, which is the total volume of put options and call options scaled by total underlying equity volume, and the put-call (P/C) ratio,...

We propose a new measure of investor sentiment based on predictions of firms' near-term prospects, disclosed in online platforms by their employees. By aggregating this forward-looking information, we construct an Employee Sentiment Index (ESI) and find that it is a strong predictor of stock...

Considerable theoretical and empirical evidence links price comovements with the behavior of retail investors. Nevertheless, when predicting stock return correlations, research has focused on the leverage effect. We propose a new model of realized covariances that allows exogenous predictors to...

This study presents a new European investor sentiment index, EURsent, based on new individual sentiment proxies such as VSTOXX, gold, and the German bond yield spread, and studies the spillover and contagion between the United States and Europe. Furthermore, it analyses the simultaneous...

This study examines the role of market sentiment in predicting the price bubbles of four strategic metal commodities (gold, silver, palladium, and platinum) from January 1985 to August 2020. It is the first to investigate this topic using sentiment indices, including news-based economic and...

Predicted stock issuers (PSIs) are firms with expected “high-investment and low-profit” (HILP) profiles that earn unusually low returns. We carefully document important features of PSI firms to provide insights on the economic mechanism behind the HILP phenomenon. Top-PSI firms are...

The U.S. stock market’s return during the first month of a quarter correlates strongly with returns in future months, but the correlation is negative if the future month is the first month of a quarter, and positive if it is not. These correlations offset on average, consistent with the...