In this paper, we develop and examine a simple interactive agent‐based model, where the distribution of returns generated from the model takes into account two stylized facts about financial markets： fat tails and volatility clustering. Our results indicate that the risk tolerance of...

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...

This paper aims to investigate the pricing efficiency of Saudi Sharia-compliant (i.e. Islamic) exchange-traded funds (ETFs). The paper adheres to a positivist research philosophy with a deductive research approach where data is collected, analyzed and interpreted to examine a hypothesis....

Using hand-collected TV programming data and intra-day trading data from China, we compare the trading, liquidity, and returns of on-show and off-show stocks in the same sector. Our difference-in-difference analysis reveals that post-show, off-show stocks experience significant improvements in...

Using hand-collected TV programming data and intra-day trading from China, we compare the trading, liquidity, and returns of on-show and off-show stocks in the same sector. Our difference-in-difference analysis reveals that post-show, off-show stocks experience significant improvements in...

We document a robust positive relationship between the belief dispersion about macroeconomic conditions among household investors and the stock market trading volume, using more than 30 years of household survey data and a novel approach to measuring belief dispersions. Notably, such a...

Strategies that overweight low beta stocks and underweight high beta stocks earn positive alphas. Price noise is known to affect high beta stocks, hence, noise trading can be expected to significantly affect the performance of these strategies. I study the impact of flows between bond and equity...

We develop a model in which investors have heterogeneous beliefs about both the mean and the risk of future signals and the final stock payoff. As investors who perceive the lowest risk vary across different periods, the overall perception of the market risk is reduced in an economy with dynamic...

The 2017 bubble on the cryptocurrency market recalls our memory in the dot-com bubble, during which hard-to-measure fundamentals and investors' illusion for brand new technologies led to overvalued prices. Benefiting from the massive increase in the volume of messages published on social media...

We define a sentiment indicator based on option prices, valuation ratios and interest rates. The indicator can be interpreted as a lower bound on the expected growth in fundamentals that a rational investor would have to perceive in order to be happy to hold the market. The lower bound was...