The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets
Daiki Maki, Yasushi Ota

TL;DR
This paper examines how asymmetries like leverage effects and realized semivariance influence the modeling and forecasting of realized volatility in Japanese stock markets, highlighting the importance of including asymmetric information for better predictions.
Contribution
It introduces HAR models with three types of asymmetry and demonstrates the significance of leverage effects and realized semivariance in improving volatility modeling and forecasting accuracy.
Findings
Leverage effects significantly influence realized volatility models.
Realized semivariance improves model performance, depending on leverage effects.
Asymmetric jumps do not significantly impact realized volatility models.
Abstract
This study investigates the impacts of asymmetry on the modeling and forecasting of realized volatility in the Japanese futures and spot stock markets. We employ heterogeneous autoregressive (HAR) models allowing for three types of asymmetry: positive and negative realized semivariance (RSV), asymmetric jumps, and leverage effects. The estimation results show that leverage effects clearly influence the modeling of realized volatility models. Leverage effects exist for both the spot and futures markets in the Nikkei 225. Although realized semivariance aids better modeling, the estimations of RSV models depend on whether these models have leverage effects. Asymmetric jump components do not have a clear influence on realized volatility models. While leverage effects and realized semivariance also improve the out-of-sample forecast performance of volatility models, asymmetric jumps are not…
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Monetary Policy and Economic Impact · Market Dynamics and Volatility
