This paper sheds new light on the mutual relationship between investor sentiment and excess returns corresponding to the bubble component of stock prices. We propose to use the wavelet concept of the phase angle to determine the lead-lag relation between these variables. The wavelet phase angle...

This paper aims to examine the reactions among institutional and individual investors when facing those listed firms' public announcements, and the effects of their trading on stock returns on the Taiwan Stock Exchange (TSE). By employing a trivariate vector autoregressive (VAR) model, we find...

We show in a simple framework that momentum trading can exist in equilibrium and momentum trading is profitable. Properties of the model fit the empirics well. First, the model captures in a parsimonious manner both short-term overreaction and long-term reversals. Second, it predicts that...

We examine the long-term relationship between signals derived from nine years of unstructured social media microblog text data and financial market developments in five major economic regions. Employing statistical language modeling techniques we construct directional sentiment metrics and link...

We measure the information content of monthly analyst consensus forecasts for one-year-forward earnings per share (EPS) based on two well-established price discovery measures drawn from the area of market micro-structure research. Employing a 36-year sample of large US companies listed in the...

Based on Hirshleifer et al. (1998, "Investor Psychology and Security Market Under- and Overreactions") and Fama and French (1988, “Permanent and Temporary Components of Stock Prices”) an overview over the microeconomic models simulating investor behavior with short-term momentum and...

A simple market timing algorithm is examined that switches from an exchange traded fund representing U. S. equities to one holding treasury long bonds every month on the last day, the switch being made to whichever ETF has the greatest ratio of current adjusted closing price to adjusted closing...

This study examines the effect of Herding in different states (low, high and extreme volatility) in Tehran Stock Exchange during the years 2009-2013 using Chang et al. (2000) and Balcilar et al. (2013) models. In this survey, herding is tested under 3 market regimes. The results don't show...

We extend the classical "martingale-plus-noise" model for high-frequency prices by an error correction mechanism originating from prevailing mispricing. The speed of price reversal is a natural measure for informational efficiency. The strength of the price reversal relative to the...

We investigate the impact of extreme weather conditions on the stock market returns of the Hong Kong Stock Exchange and Shenzhen Exchange. For the weather conditions, we apply dummy variables generated by applying a moving average and moving standard deviation. Our study provides two interesting...