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Heat waves, meteor showers, and trading volume: an analysis of volatility spillovers in the U.S. Treasury market

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Abstract

The market for U.S. Treasury securities operates around-the-clock from the three main trading centers of Tokyo, London, and New York. We examine this market for volatility spillovers using the methodology employed by Engle, Ito, and Lin (1990) for the foreign exchange market. We find meteor showers in Tokyo and London but not New York; i.e., volatility spills over into Tokyo and London from the other trading centers, but not into New York. We also find that lagged trading volume significantly impacts U.S. Treasury yield volatility for the overseas trading centers, although it does not change the basic meteor shower findings.

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  • Michael J. Fleming & Jose A. Lopez, 1999. "Heat waves, meteor showers, and trading volume: an analysis of volatility spillovers in the U.S. Treasury market," Working Papers in Applied Economic Theory 99-09, Federal Reserve Bank of San Francisco.
    • Handle: RePEc:fip:fedfap:99-09
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    1. Fratzscher, Marcel, 2002. "Financial Market Integration in Europe: On the Effects of EMU on Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 165-193, July.
    2. He, Yan & Lin, Hai & Wang, Junbo & Wu, Chunchi, 2009. "Price discovery in the round-the-clock U.S. Treasury market," Journal of Financial Intermediation, Elsevier, vol. 18(3), pages 464-490, July.
    3. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2015. "Volatility transmission in global financial markets," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 3-18.
    4. Linda S. Goldberg & Deborah Leonard, 2003. "What moves sovereign bond markets? The effects of economic news on U.S. and German yields," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 9(Sep).
    5. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and volatility spillover effects in equity markets during and after the global financial crisis: An MEM approach," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 208-220.
    6. Zhang, Hanyu & Dufour, Alfonso, 2019. "Modeling intraday volatility of European bond markets: A data filtering application," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 131-146.
    7. Taylor, Nicholas, 2007. "A note on the importance of overnight information in risk management models," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 161-180, January.
    8. Hussain, Syed Mujahid, 2011. "Intraday trading volume and international spillover effects," Research in International Business and Finance, Elsevier, vol. 25(2), pages 183-194, June.
    9. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2016. "Common trends in global volatility," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 194-214.
    10. Robert F. Engle & Giampiero M. Gallo & Margherita Velucchi, 2012. "Volatility Spillovers in East Asian Financial Markets: A Mem-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 222-223, February.
    11. Svetlana Mira & Nicholas Taylor, 2013. "An International Perspective on Risk Management Quality," European Financial Management, European Financial Management Association, vol. 19(5), pages 935-955, November.

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