Co-movements of stock price uctuations are described by the cross-correlation matrix C. The application of random matrix theory (RMT) allows to distinguish between spurious correlations in C due to measurement noise and true correlations containing economically meaningful information. By calculating
Cross-market correlations and transmission of information
β Scribed by Salim M. Darbar; Partha Deb
- Book ID
- 102217874
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 187 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
We investigate characteristics of crossβmarket correlations using daily data from U.S. stock, bond,
money, and currency futures markets using a new multivariate GARCH model that permits direct hypothesis testing
on conditional correlations. We find evidence that arrival of information in a market affects subsequent
crossβmarket conditional correlations in the sample period following the stock market crash of 1987, but
there is little evidence of such a relationship in the precrash period. In the postcrash period, we also find
evidence that the prime rate of interest affects daily correlations between futures returns. Furthermore, we
find that conditional correlations between currency futures and other markets decline steeply a few months
before the crash and revert to normal dynamics after the crash. Β© 2002 Wiley Periodicals, Inc. Jrl Fut Mark
22:1059β1082, 2002
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