This study investigates credit card loan delinquency in Korea. We define three states - no delinquency, delinquency, and serious delinquency - and test the transition probabilities between them using quarterly observed account-level data. Our findings have several economic implications. First,...

We analyze the efficiency of the liquidity flows provided to recover stability in a distressed market. Using a theoretical framework, our analysis focuses on the incentives of financial institutions, namely, the incentive for arbitrage profits, the disincentive from liquidity risk, and market...

This study investigates the economic and financial drivers of volatility changes and integrates them into stock market volatility forecasting. We first collect a diverse set of predictor variables and analyze them within a unified framework. We discover that only a small number of variables...

This study compares the information content of funds from operation (FFO) and net income (NI) in the real estate investment trust (REIT) industry. We find that models using FFO explain more of the variance in cumulative abnormal returns around earnings announcement dates than models using NI do....

This study examines time-series momentum in the Chinese commodity futures market. The findings show that a time-series momentum strategy performs best with a one-month look-back period and a one-month holding period. Furthermore, this strategy outperforms passive long and cross-sectional...

Purpose – In this study, we investigate determinants of hedging with derivatives and its effect on firm value and firm risk for Korean firms. Design/methodology – To avoid the endogeneity problem pointed out in previous studies, we use a two-stage analysis by using gains and losses from...

Incentive fees exist in the hedge fund industry to solve the principal-agent problem. However, due to indirect incentives, there continues to be a misalignment between fund managers’ and investors’ interests. This paper analyzes whether investors are able to mitigate this agency problem by...

This study predicts stock market volatility and applies them to the standard problem in finance, namely, asset allocation. Based on machine learning and model averaging approaches, we integrate the drivers’ predictive information to forecast market volatilities. Using various evaluation...

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...

To valuate mortgage-backed securities, it is crucial to understand mortgage termination behavior. Analyzing the unique loan-level dataset, this study examines the characteristics of mortgage prepayment and default behavior in the Korean housing and housing finance markets. We find that loans to...