The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-
based intelligent products. Accordingly, various technology acceptance theories have been …

We provide data and code that successfully reproduces nearly all crosssectional stock return
predictors. Our 319 characteristics draw from previous meta-studies, but we differ by …

Most anomalies fail to hold up to currently acceptable standards for empirical finance. With
microcaps mitigated via NYSE breakpoints and value-weighted returns, 65% of the 452 …

Pump-and-dump schemes (P&Ds) pervade the cryptocurrency market. We find that P&Ds
trigger short-term episodes featuring dramatic increases in prices, volume, and volatility …

An introduction to the theory and methods of empirical asset pricing, integrating classical
foundations with recent developments. This book offers a comprehensive advanced …

This paper documents a significantly negative cross-sectional relation between left-tail risk
and future returns on individual stocks trading in the US and international countries. We …

We use earnings forecasts from a cross-sectional model to proxy for cash flow expectations
and estimate the implied cost of capital (ICC) for a large sample of firms over 1968–2008 …

This paper examines the relationship between enterprise risk management (ERM) and
corporate social responsibility (CSR) and how this relationship is affected by managerial …

In the Chinese stock market, there are many retail investors who focus on short-term profits
and may consider corporate social responsibility (CSR) differently from institutional …

We investigate the presence of information asymmetry costs in the Chinese stock market
based on three order-related proxies. We find that order imbalance volatility has stronger …