This study examines the relationship between the weather and intraday investor sentiment. Our results indicate that high temperatures, high humidity, high cloud coverage, and extreme rain negatively affect investors’ moods, whereas high winds and long sunshine durations improve their moods....

This study examines the effect of global risk aversion on future real economic activity (REA) and stock market volatility. We propose new international real business cycle (RBC) frameworks with a stochastic global risk-aversion spillover process by extending the commonly used RBC models. We also...

This study shows that analysts generate firm-specific information, rather than market-wide information. Whereas previous studies report only the positive relationship between stock price synchronicity and analyst coverage, we suggest that the positive relation can be attributed to the...

Recently, various corporate failure prediction models that use machine learning techniques have received considerable attention. In particular, Kim, Cho, and Ryu (2022) demonstrate that using a sequence of a company’s historical information, rather than just the most recent information, yields...

This study examines the phase-transition behavior of the KOSPI200 futures market and discusses empirical findings in the context of the unique characteristics of that market. We study the two qualitatively different phases of the market based on two related measures: the volume-imbalance measure...

This study examines the forecasting performance of the Taylor rule on the exchange rate when there is uncertainty in the structural breaks in a small open economy. Using the combination window method, which considers the uncertainty of the size of the estimation window, we find that the...

This is the first study to examine the intraday price discovery and volatility transmission processes between the Singapore Exchange and the China Financial Futures Exchange. Using one- and five-minute high-frequency data from May to November 2011, the authors find that the Chinese Securities...