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Correlations and Volatilities of Asynchronous Data
Asset prices are typically measured when markets close, although closing times may differ across markets. As a result, returns appear to have predictability, and correlations are understated. This will distort the value of portfolios, value at risk measures, and hedge strategies. A solution is to &q...
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Published in: | The Journal of derivatives 1998-07, Vol.5 (4), p.7-18 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Asset prices are typically measured when markets close, although closing times may differ across markets. As a result, returns appear to have predictability, and correlations are understated. This will distort the value of portfolios, value at risk measures, and hedge strategies. A solution is to "synchronize" prices by computing estimates of the values of assets even when markets are closed, given information from markets that are open. From these prices, synchronized returns are defined and can be used to perform standard calculations including measuring time-varying volatilities and correlations with GARCH. The method is applied to G-7 index data. |
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ISSN: | 1074-1240 2168-8524 |
DOI: | 10.3905/jod.1998.408000 |