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 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...

This empirical study is conducted to apply the Fama French three-factor model in the Australian context using the most recent daily data for the period of 5 years from July 2009 to May 2015. The focus of this study is on various approaches of portfolio formation adopted in previous empirical...

This paper documents the time-series and cross-sectional variations in bank capital ratios and investigates their underlying driving forces using listed Japanese bank data from 1977 to 2009. We derive an overall framework in the form of a present-value model to decompose the ariation in bank...

Evidence suggests that rational, periodically collapsing speculative bubbles may be pervasive in stock markets globally, but there is no research that considers them at the individual stock level. In this study we develop and test an empirical asset pricing model that allows for speculative...

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...

Capital markets appreciate stability. It means that companies reporting smooth earnings patterns tend to be priced relatively high. However, the empirical issue is whether such valuation premiums for earnings smoothness are justified. We examine the relationships between past five-year earnings...

Regarding the asymmetric and leptokurtic behavior of financial data, we propose a new contagion test in the quantile regression framework that is robust to model misspecification. Unlike conventional correlation-based tests, the proposed quantile contagion test allows us to investigate the stock...

Purpose: This paper examines the associative and causal relationship between changes in the implied volatility index (VIX) and stock market returns, with data from 15 countries representing both developed and emerging economies.1 We also examine the dynamic variation, if any in the nature of the...

This paper examines the idiosyncratic volatility (IV) puzzle in the Indian stock market for the period 1999–2014. Univariate and bivariate sorting, as well as cross-section regressions, suggest a positive relation between idiosyncratic volatility and future stock returns. However, this...