Conditional Volatility Asymmetry Of Business Cycles: Evidence From Four Oecd Countries
AbstractMost studies of business cycle exclude the dimension of asymmetric conditional volatility. In this paper, we propose three bivariate asymmetric GARCH models to capture the properties of conditional volatility and time-varying conditional correlations of business cycle indicators in four OECD countries. Our study extends the constant conditional correlation framework proposed by Bollerslev (1990) and the time-varying conditional correlation approach by Tse and Tsui (2002), respectively. Using indices of industrial production as proxies for business cycles indicators, we detect statistically significant evidence of asymmetric conditional volatility in the UK and US. Additionally, we find that the conditional correlations are significantly time-varying, and that the strength of varying correlations may be linked to the degree of economic integration between the countries.
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Bibliographic InfoArticle provided by Chung-Ang Unviersity, Department of Economics in its journal Journal Of Economic Development.
Volume (Year): 38 (2013)
Issue (Month): 3 (September)
Business Cycle Non-Linearities; Constant Correlations; Index of Industrial Production; Multivariate Asymmetric GRACH; Varying-Correlations;
Find related papers by JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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