The COVID-19 pandemic has led global investors to draw a parallel between pandemics and climate risk, focusing their attention on climate risk. We examine COVID-19’s effect on investors’ awareness of climate risk by analyzing novel trading data for Korean listed firms that include investor...

We propose and implement a procedure to optimally hedge climate change risk. First, we construct climate risk indices through textual analysis of newspapers. Second, we present a new approach to compute factor mimicking portfolios to build climate risk hedge portfolios. The new mimicking...

Stock momentum, long-term reversal, and other past return characteristics that predict future returns also predict future realized betas, suggesting these characteristics capture time-varying risk compensation. We formalize this argument with a conditional factor pricing model. Using...

This study examines the responses of investor sentiment and stock market returns to announcements of changes in analyst recommendation as well as the effect of these announcements on the relationship between sentiment and stock returns. Investor sentiment is more sensitive to upgrade...

A hedge fund's capital structure is fragile because uninformed fund investors are highly loss sensitive and easily withdraw capital in response to bad news. Hedge fund managers, sharing common investors and interacting with each other through market price, sensitively react to other funds'...

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 whether sentiment indices predict individual firms’ stock returns and evaluates the performances of sentiment-based trading strategies. Both the sentiment indices constructed using the principal component analysis (PCA) and overnight stock returns positively predict stock...