This study examines the response of intraday options-implied volatilities to scheduled announcements of major macroeconomic indicators. By analyzing the KOSPI 200 options intraday data, we find that the abnormal implied volatility significantly increases around announcements of macroeconomic...

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...

The KOSPI (Korea Composite Stock Price Index) 200 options are one of the most actively traded derivatives in the world. This paper empirically examines (a) the statistical properties of the Korea's representative implied volatility index (VKOSPI) derived from the KOSPI 200 options and (b) the...