This study investigates the impact of uncertainty on the mean-variance relationship. We find that the stock market’s expected excess return is positively related to the market’s conditional variances and implied variance during low uncertainty periods but unrelated or negatively related to...

We analyze herding behavior in the Chinese stock markets in the context of the COVID-19 pandemic using the cross-sectional absolute deviation (CSAD) model proposed by Chang et al. (2000) to detect herding behavior in the time period between January 30, 2001, and June 12, 2020. We consider stock...

We examine the effects of the North Korea-U.S. summit and related events on the South Korean stock market over the period March 2018 to June 2018. Employing the event study methodology, we estimate sectoral abnormal returns following the events surrounding the summit and conduct several...

This paper analyzes market efficiency (EMH) with the day-of-the-week effect and the changes that might appear after the outbreak of the COVID-19 pandemic, based on the example of the OMX Exchange and its indices. Before the pandemic, only the OMX Baltic All‑share index was efficient; during...

The Paris Agreement signals increased climate awareness and potential changes in the business environment as an economy decarbonizes. Ratification of the Paris Agreement could heighten climate-related transition risks, especially for companies in high-emitting industries. This research analyzes...

National cultures significantly explain cross-country differences in the relation between asset growth and stock returns. Motivated by the notion that managers in individualistic and low uncertainty-avoiding cultures have a higher tendency to overinvest, this study aims to show that the negative...

We study the causal impacts of a tick size reduction policy in highly liquid stocks, exploiting a unique experiment in Borsa Istanbul leading to substantial exogenous variation in the tick size. Adapting a differences-in-differences strategy with a novel limit order and trade book data with...

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 find that interest rate variance risk premium (IRVRP) - the difference between implied and realized variances of interest rates - is a strong predictor of U.S. Treasury bond returns of maturities ranging between one and ten years for return horizons up to six months. IRVRP is not subsumed by...

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...