Employing asset-pricing models over the period 2012 to 2017, this study examines whether a search attention index (SAI) explains the variation in the weekly excess return of stocks. The study finds that the estimated abnormal return of a portfolio based on search intensity is significantly high...

This paper examines whether illiquidity is a determinant of monthly stock returns in the German market. Estimating time-series and cross-sectional models, we investigate the impact of illiquidity both on market returns and on individual stock returns. Illiquidity is approximated by five measures...

We examine the effects of limited investor attention on stock returns by using Google search volume index to measure investor attention. We also investigate whether national culture and market development have any role in this relationship. We find that the impact of investor attention on stock...

Although most of the empirical and theoretical asset pricing literature predicts a positive or no signi ficant relationship between idiosyncratic volatility and returns, Ang et al. (2006, 2009) find that high idiosyncratic volatility stocks have low returns and vice versa. We deliver further...

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...

Stock return predictability by investor sentiment has been subject to constant updating, but reaching a decisive conclusion seems rather challenging as academic research relies heavily on US data. We provide fresh evidence on stock return predictability in an international setting and show that...

The research literature shows that investor sentiment is a contrarian predictor of aggregate stock market returns. However, we contend that investor sentiment only predicts aggregate stock market returns during high-sentiment states where overpricing is more prevalent than underpricing. Using a...

Recent evidence on the relationship between investor sentiment and subsequent monthly market returns in China shows that investor sentiment is a reliable momentum predictor since an increase (decrease) in investor sentiment leads to higher (lower) future returns. However, we suggest that...

We test whether investor mood affects trading with data on all stock market transactions in Finland, utilizing variation in daylight and local weather. We find some evidence that environmental mood variables (local weather, length of day, daylight saving and lunar phase) affect investors'...

This paper studies the effect of investor sentiment on the London stock market on a daily basis over the period 1899 to 2010. We use a broad mix of reporting from the Financial Times as our proxy for investor sentiment. The main contribution of this paper is threefold. First, newspaper...