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Information and volatility links in the foreign exchange market

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  • Sirimon Treepongkaruna
  • Stephen Gray

Abstract

We apply the trading model of Fleming et al (1998). to a number of currency markets. The model posits that two markets can have common volatility structures as a result of receiving common information and from cross‐hedging activity where a position in one currency is used to hedge risk in a position taken in another. Our results imply that the model is effective in identifying common information flows and volatility spillovers in the currency markets and that some of these effects are lost when simply examining raw correlations. A series of specification tests of the 21 bivariate systems that are examined provides support for the trading model in the foreign exchange context.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:acctfi:v:49:y:2009:i:2:p:385-405
    DOI: 10.1111/j.1467-629X.2008.00287.x
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
    2. JingJing (Justine) Wang & John S. Croucher, 2021. "Information linkages among National, NSW, VIC, and QLD real estate markets in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3207-3234, June.
    3. Xiaoping Li & Zhipeng Zhang & Junyu Pan & Jihong Duan, 2023. "Investor attention and the predictability of the volatility of CNY‐CNH spreads: Evidence from a GARCH‐MIDAS model," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 4939-4959, December.
    4. 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.
    5. Ji, Qiang & Bahloul, Walid & Geng, Jiang-Bo & Gupta, Rangan, 2020. "Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective," Research in International Business and Finance, Elsevier, vol. 52(C).
    6. 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.
    7. Dungey, Mardi & Matei, Marius & Treepongkaruna, Sirimon, 2014. "Identifying periods of financial stress in Asian currencies: the role of high frequency financial market data," Working Papers 2014-12, University of Tasmania, Tasmanian School of Business and Economics.
    8. 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.
    9. 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.
    10. Qiang Ji & Walid Bahloul & Jiang-bo Geng & Rangan Gupta, 2019. "Does Trading Behaviour Converge across Commodity Markets? Evidence from the Perspective of Hedgers’ Sentiment," Working Papers 201930, University of Pretoria, Department of Economics.
    11. Andreas Röthig, 2012. "Cross‐Speculation In Currency Futures Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 272-278, July.
    12. Ashley Ding, 2019. "Information and volatility linkages across energy and financial markets," Australian Journal of Management, Australian School of Business, vol. 44(4), pages 594-613, November.

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