* Burns Statistics

** Morgan, Stanley & Co, Inc.">

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Correlations and Volatilities of Asynchronous Data

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Author Info
Patrick Burns
Robert Engle
Joseph Mezrich

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Abstract

Asset prices are typically measured when markets close however the closing times may differ across markets. As a result the 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 proposed. Prices can be "synchronized" by computing estimates of the values of assets even when markets are closed, given information from markets which 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 G7 index data.

* Burns Statistics

** Morgan, Stanley & Co, Inc.

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Paper provided by Department of Economics, UC San Diego in its series University of California at San Diego, Economics Working Paper Series with number 97-30r.

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Date of creation: Apr 1998
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Handle: RePEc:cdl:ucsdec:97-30r

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  1. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June. [Downloadable!] (restricted)
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  2. Susan Thorp & George Milunovich, 2006. "Information processing and measures of integration: New York, London and Tokyo," Research Paper Series 177, Quantitative Finance Research Centre, University of Technology, Sydney. [Downloadable!]
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  4. Robert-Paul Berben & W. Jos Jansen, 2005. "Bond Market and Stock Market Integration in Europe," DNB Working Papers 060, Netherlands Central Bank, Research Department. [Downloadable!]
  5. Christiansen, Charlotte, 2003. "Volatility-Spillover E ffects in European Bond Markets," Finance Working Papers 03-8, Aarhus School of Business, Department of Business Studies. [Downloadable!]
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  8. Giampiero M. Gallo, 2001. "Modelling the Impact of Overnight Surprises on Intra-daily Volatility," Econometrics Working Papers Archive wp2001_02, Universita' degli Studi di Firenze, Dipartimento di Statistica "G. Parenti". [Downloadable!]
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