Linkages Among Asset Markets in the United States: Tests in a Bivariate GARCH Framework

Parha Deb and Salim Darbar

No 1999/158, IMF Working Papers from International Monetary Fund

Abstract: This paper develops a bivariate GARCH model that allows for time-varying conditional correlations and simultaneous testing of two Granger-causal linkages: the impact of return volatility in a market on intermarket correlation and the impact of return volatility in one market on the volatility of another. Using daily data from stock, bond, currency, and commodity markets in the United States, the paper finds evidence of each form of linkage. Furthermore, the conditional correlations change over time and exhibit considerable persistence. The estimated time-varying conditional correlations provide insight into the nature of the stock market crash of 1987.

Keywords: WP; Logistic Exponential GARCH; conditional correlation; Granger causality; volatility spillover; GARCH model; cross-asset correlation; market mechanism; spillover coefficient; asset volatility; covariance matrix; Stock markets; Securities markets; Small taxpayer office; Currency markets; Spillovers; Global (search for similar items in EconPapers)
Pages: 25
Date: 1999-11-01
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Citations: View citations in EconPapers (9)

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