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Do trading hours affect volatility links in the foreign exchange market?

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  • Sirimon Treepongkaruna
  • Robert Brooks
  • Stephen Gray

Abstract

This paper explores whether volatility linkages exist at the intra-daily frequency in the foreign exchange market, and whether market trading hours affect volatility transmission. To answer these questions, we apply the Fleming, Kirby and Ostdiek model (1998) to 21 currency pairs using hourly data and allowing specific consideration to be given to the role of which market is open in driving volatility linkages. Our findings indicate that hourly volatility is less persistent than daily volatility. We also find that market trading hours play a different role in driving volatility linkages for major and non-major currencies. For major currency pairs, we find that simultaneous trading hours are not critical for the processing of information flow. However, for the other currency pairings volatility transmission is affected by which markets are open.

Suggested Citation

  • Sirimon Treepongkaruna & Robert Brooks & Stephen Gray, 2012. "Do trading hours affect volatility links in the foreign exchange market?," Australian Journal of Management, Australian School of Business, vol. 37(1), pages 7-27, April.
    • Handle: RePEc:sae:ausman:v:37:y:2012:i:1:p:7-27
    DOI: 10.1177/0312896211411934
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    1. Oldfield, George S, Jr & Rogalski, Richard J, 1980. "A Theory of Common Stock Returns over Trading and Non-Trading Periods," Journal of Finance, American Finance Association, vol. 35(3), pages 729-751, June.
    2. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    3. Kentaro Iwatsubo & Yoshihiro Kitamura, 2008. "Intraday Evidence of the Informational Efficiency of the Yen/Dollar Exchange Rate," Discussion Papers 0801, Graduate School of Economics, Kobe University.
    4. Jeff Fleming & Chris Kirby & Barbara Ostdiek, 2006. "Stochastic Volatility, Trading Volume, and the Daily Flow of Information," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1551-1590, May.
    5. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    6. Andersen, Torben G & Bollerslev, Tim, 1997. "Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns," Journal of Finance, American Finance Association, vol. 52(3), pages 975-1005, July.
    7. Kaul, Aditya & Sapp, Stephen, 2009. "Trading activity, dealer concentration and foreign exchange market quality," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2122-2131, November.
    8. Faust, Jon & Rogers, John H. & Wang, Shing-Yi B. & Wright, Jonathan H., 2007. "The high-frequency response of exchange rates and interest rates to macroeconomic announcements," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1051-1068, May.
    9. Lo, Ingrid & Sapp, Stephen G., 2010. "Order aggressiveness and quantity: How are they determined in a limit order market?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(3), pages 213-237, July.
    10. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk, 2009. "Profitability in an Electronic Foreign Exchange Market: Informed Trading or Differences in Valuation?," Working Paper series 25_09, Rimini Centre for Economic Analysis.
    11. Andrew Harvey & Esther Ruiz & Neil Shephard, 1994. "Multivariate Stochastic Variance Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 247-264.
    12. Laakkonen Helinä & Lanne Markku, 2009. "Asymmetric News Effects on Exchange Rate Volatility: Good vs. Bad News in Good vs. Bad Times," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-38, December.
    13. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    14. Stephen J. Taylor, 1994. "Modeling Stochastic Volatility: A Review And Comparative Study," Mathematical Finance, Wiley Blackwell, vol. 4(2), pages 183-204, April.
    15. Ghysels, E. & Jasiak, J., 1994. "Stochastic Volatility and time Deformation: an Application of trading Volume and Leverage Effects," Cahiers de recherche 9403, Universite de Montreal, Departement de sciences economiques.
    16. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    17. Dacorogna, Michael M. & Muller, Ulrich A. & Nagler, Robert J. & Olsen, Richard B. & Pictet, Olivier V., 1993. "A geographical model for the daily and weekly seasonal volatility in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 12(4), pages 413-438, August.
    18. Laura E. Kodres & Matthew Pritsker, 2002. "A Rational Expectations Model of Financial Contagion," Journal of Finance, American Finance Association, vol. 57(2), pages 769-799, April.
    19. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    20. Harvey, Campbell R & Huang, Roger D, 1991. "Volatility in the Foreign Currency Futures Market," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 543-569.
    21. Fan, Yu-Ju & Lai, Hung-Neng, 2006. "The intraday effect and the extension of trading hours for Taiwanese securities," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 328-347.
    22. Jeong, Jin-Gil, 1999. "Cross-border transmission of stock price volatility: evidence from the overlapping trading hours," Global Finance Journal, Elsevier, vol. 10(1), pages 53-70.
    23. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    24. Muller, Ulrich A. & Dacorogna, Michel M. & Olsen, Richard B. & Pictet, Olivier V. & Schwarz, Matthias & Morgenegg, Claude, 1990. "Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysis," Journal of Banking & Finance, Elsevier, vol. 14(6), pages 1189-1208, December.
    25. Charles Goodhart & Takatoshi Ito & Richard Payne, 1996. "One Day in June 1993: A Study of the Working of the Reuters 2000-2 Electronic Foreign Exchange Trading System," NBER Chapters, in: The Microstructure of Foreign Exchange Markets, pages 107-182, National Bureau of Economic Research, Inc.
    26. Ding, Liang & Hiltrop, Jonas, 2010. "The electronic trading systems and bid-ask spreads in the foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 323-345, October.
    27. Sirimon Treepongkaruna & Stephen Gray, 2009. "Information and volatility links in the foreign exchange market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(2), pages 385-405, June.
    28. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    29. Ramazan Gencay & Nikola Gradojevic, 2009. "Informed Trading in an Electronic Foreign Exchange Market," Working Paper series 24_09, Rimini Centre for Economic Analysis.
    30. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    31. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
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    Cited by:

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    2. Sviatoslav Rosov & F Douglas Foster, 2014. "Customer foreign exchange orders: When timing really does matter," Australian Journal of Management, Australian School of Business, vol. 39(3), pages 351-368, August.
    3. Baklaci, Hasan Fehmi & Aydoğan, Berna & Yelkenci, Tezer, 2020. "Impact of stock market trading on currency market volatility spillovers," Research in International Business and Finance, Elsevier, vol. 52(C).
    4. Sviatoslav Rosov & F. Douglas Foster, 2014. "Measuring the information content of customer foreign exchange orders," Australian Journal of Management, Australian School of Business, vol. 39(2), pages 247-264, May.
    5. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.

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