We use supervised learning to identify factors that predict the cross-section of returns and maximum drawdown for stocks in the US equity market. Our data run from January 1970 to December 2019 and our analysis includes ordinary least squares, penalized linear regressions, tree-based models, and...

The study explores the relationship between gender diversity board (GDB) and earnings management (EM) with state-ownership (SOE) and firm growth as moderating factors. Based on the data of 404 Vietnamese listed firms in 2015-2019, the feasible generalized least squares (FGLS) method and further...

The study evaluates the influence of cash flow on the financial distress of private listed enterprises on the Vietnamese stock market from 2010 to 2020. We use the data collected from the financial statements of 263 private non-financial enterprises listed on the Ho Chi Minh and Hanoi stock...

A central maxim in statistics is that correlation does not imply causation, and a lack of correlation does not imply a lack of causation. However, this does not mean that correlation contains no informational content whatsoever for causality. In this paper, I propose a tractable characterisation...