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...

Stochastic processes is one of the key operations research tools for analysis of complex phenomenon. This paper has a unique application to the study of mean changing models in stock markets. The idea is to enter and exit stock markets like Apple Computer and the broad S&P500 index at good times...

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 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 equilibrium implications on asset prices of institutions' trading with sentiment-driven retail investors. In the model, both the benchmarking concerns of institutions and the (irrational) optimism of retail investors boost the aggregate demand for a stock. We show that the ensuing...

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...

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....

This paper develops textual sentiment measures for China's stock market by extracting the textual tone of 60 million messages posted on a major online investor forum in China from 2008 to 2018. We conduct sentiment extraction by using both conventional dictionary methods based on customized word...