This paper reports the results of 16 experimental asset markets that explore the effects of trade transparency on the price formation process and its results using a more realistic design than related studies. The open orderbook does not improve informational efficiency and does not result in...

This paper studies the role of generalized disappointment aversion (GDA) in reconciling several asset-pricing puzzles in models of long-run risks. To fully capture the nonlinearities introduced by these preferences, we solve the model globally with projection. This allows us to scrutinize the...

We study the effects of the investment horizon on asset price volatility using a Learning to Forecast experiment. We end that, for short investment horizons, participants coordinate on self-fulfilling trend extrapolating predictions. Price deviations are then reinforced and amplified, possibly...

This study examines the accounting information uncertainty effects on corporate credit risk from the perspective of real earnings management (RM) activities by investigating 9,565 American bond observations from year 2001 to 2008. The main results show that the volatilities of RM activities...

High idiosyncratic volatility (IV) stocks follow predictable return pattern after exhibiting large ex ante returns: a period of underreaction and low returns is superseded by persistent high returns. This pattern is robust and economically significant: it may be interpreted as informationally...

We test the interaction between COVID-19 governments' interventions, COVID-19- induced uncertainty, and the volatility of sovereign bonds. Using a panel-quantile approach and a comprehensive dataset of 31 countries worldwide, we document that containment and closure policies tend to amplify...

The role of public sentiment in stock market volatility has recently become increasingly relevant. Twitter, in theory, offers an inexpensive way to measure real-time public sentiment. We take advantage of a natural experiment to assess the potential improvement that social media adds to forecast...

This paper examines the distributional properties of cryptocurrency realized variation measures (RVM) and the predictability of RVM on future returns. We show the cryptocurrency volatility persistence and the importance of the asymmetry on volatility forecasting. Signed jumps variations...

What drives intraday reversal? Previous studies of the U.S. market regard short-term reversal as compensation for liquidity provision. However, in this paper, we find that intraday reversal has no significant dependence on stock liquidity for the Chinese market. Hence, based on a stylized...

Market prices tend to be significantly more volatile than the dividends they discount. Furthermore, volatility is not stable; it alternates between calm periods and storms of varying duration and intensity. These behaviors are often viewed as market defects or symptoms of the madness of crowds....