We discuss the finding that cross-sectional characteristic based models have yielded portfolios with higher excess monthly returns but lower risk than their arbitrage pricing theory counterparts in an analysis of equity returns of stocks listed on the JSE. Under the assumption of general...

The systemic risk induced by a connection among financial objects is generally measured by returns, volatility, interbank loans, etc. Nevertheless, these measures do not capture the microscale component of the interconnections induced by heterogeneous investor activity. In this paper, we exploit...

This paper examines the relationship between stock and option markets around SEO events. We compare option-implied volatility and realized volatility to show that option markets do not fully predict risk dynamics following equity issues. Moreover, we show that straddle strategies that explore...

Traditional machine learning methods have been widely studied in financial innovation. My study focuses on the application of deep learning methods on asset pricing.I investigate various deep learning methods for asset pricing, especially for risk premia measurement. All models take the same set...

This paper employs a natural experiment research design to analyze the differences in the effects of the 2002 notice concerning private securities litigation issued by the Supreme People's Court on stock price performance in A/B-share markets. Using a sample of 162 twin A/B-shares issued by 81...

We examine the relationship between the tonality of news flow and the cross section of expected stock returns. We use a comprehensive definition of media coverage that includes both financial newspapers and mass media, represented by TV broadcasts. Using the total news flow with positive and...

This paper investigates how stock-specific and market-wide news sentiments, obtained from Thomson Reuters News Analytics, affect abnormal returns of S&P 500 stocks. It is well-known that the relationships between the stock-specific news sentiment and raw stock returns are rather weak. This can...

This paper first extends Sias (2004) to examine whether UK fund managers are engaged in herding behaviours in the stock market, their reasons for herding, whether their herding behaviours are different during bullish and bearish periods and whether or not their herding behaviours are...

We extract contextualized representations of news text to predict returns using the state-of-the-art large language models in natural language processing. Unlike the traditional bag-of-words approach, the contextualized representation captures both the syntax and semantics of text, thus...

We investigate how investors price the fair value estimates of assets as required by Statement of Financial Accounting Standards No. 157 (SFAS 157) since the financial crisis in 2008. We observe that Level 3 fair value estimates are typically priced lower than Level 1 and Level 2 fair value...