We make use of the GARCH-MIDAS(Mixed Data Sampling) framework as a component volatility model and identify stock market volatility as the product of transitory financial volatility and smoothly varying macroeconomic volatility. Given the low frequency and high frequency volatilities, we measure dynamic spillovers between financial and macroeconomic volatilities through generalized impulse response analysis. It is found that macroeconomic components including domestic industrial production, inflation rates, crude oil prices and exchange rates have made significant contributions to financial volatilities in the Korean stock market.
Our results are expected to deliver useful implications regarding financial stability and macroeconomic prudential regulations.
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