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Cross‐market correlations and transmission of information

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  • Salim M. Darbar
  • Partha Deb

Abstract

We investigate characteristics of cross‐market 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 cross‐market 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. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:1059–1082, 2002

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  • Salim M. Darbar & Partha Deb, 2002. "Cross‐market correlations and transmission of information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(11), pages 1059-1082, November.
    • Handle: RePEc:wly:jfutmk:v:22:y:2002:i:11:p:1059-1082
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    Cited by:

    1. Amarnath Mitra & Vishwanathan Iyer, 2017. "Transmission of Volatility across Asia-Pacific Stock Markets: Is There a Pattern?," IIM Kozhikode Society & Management Review, , vol. 6(1), pages 42-54, January.
    2. Lin Mi & Allan Hodgson, 2018. "Real estate's information and volatility links with stock, bond and money markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 465-491, November.
    3. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2015. "Structural breaks, dynamic correlations, asymmetric volatility transmission, and hedging strategies for petroleum prices and USD exchange rate," Energy Economics, Elsevier, vol. 48(C), pages 46-60.
    4. Ramaprasad Bhar & Biljana Nikolova, 2010. "Global Oil Prices, Oil Industry And Equity Returns: Russian Experience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(2), pages 169-186, May.
    5. Kenourgios, Dimitris & Drakonaki, Emmanouela & Dimitriou, Dimitrios, 2019. "ECB’s unconventional monetary policy and cross-financial-market correlation dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Walid Mensi & Shawkat Hammoude & Seong-Min Yoon, 2014. "Structural Breaks, Dynamic Correlations, Volatility Transmission, and Hedging Strategies for International Petroleum Prices and U.S. Dollar Exchange Rate," Working Papers 884, Economic Research Forum, revised Dec 2014.
    7. Lei, Lei & Aziz, Ghazala & Sarwar, Suleman & Waheed, Rida & Tiwari, Aviral Kumar, 2023. "Spillover and portfolio analysis for oil and stock market: A new insight across financial crisis, COVID-19 and Russian-Ukraine war," Resources Policy, Elsevier, vol. 85(PA).
    8. Bogdan Batrinca & Christian W. Hesse & Philip C. Treleaven, 2018. "European trading volumes on cross‐market holidays," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 675-704, October.
    9. Kryzanowski, Lawrence & Zhang, Jie & Zhong, Rui, 2017. "Cross-financial-market correlations and quantitative easing," Finance Research Letters, Elsevier, vol. 20(C), pages 13-21.

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