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Price discovery and triangular arbitrage in currency markets

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  • Wu, Zhen-Xing
  • Gau, Yin-Feng
  • Chen, Yu-Lun

Abstract

Price discovery is the process by which markets incorporate the relevant information to arrive at the efficient price of an asset. We study the price discovery process in JPY/EUR cross-rates and the rates derived from exchanges of JPY/USD and USD/EUR indirectly. The results highlight the role of the USD as a vehicle currency in enhancing price efficiency through the triangular arbitrage. During financial crisis periods, the implied JPY/EUR rates have even more contribution to price discovery than direct rates. We show the dominant price discovery of implied JPY/EUR rates relates to the lower transaction cost. Upon the release of macroeconomic announcements in Japan and Europe zone, the trading cost advantage enhances price discovery of implied rates even more. The more contribution to price discovery of implied rates predicts the higher future volatility of direct JPY/EUR rates, indicating the slower response of direct rates to the information shock and the subsequent adjustment resulting in higher variations in the direct rates.

Suggested Citation

  • Wu, Zhen-Xing & Gau, Yin-Feng & Chen, Yu-Lun, 2023. "Price discovery and triangular arbitrage in currency markets," Journal of International Money and Finance, Elsevier, vol. 137(C).
    • Handle: RePEc:eee:jimfin:v:137:y:2023:i:c:s0261560623001134
    DOI: 10.1016/j.jimonfin.2023.102912
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    as
    1. Wu, Zhen-Xing & Gau, Yin-Feng, 2022. "Informativeness of trades around macroeconomic announcements in the foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    2. Chen, Yu-Lun & Gau, Yin-Feng, 2010. "News announcements and price discovery in foreign exchange spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1628-1636, July.
    3. Goldberg, Linda S. & Tille, Cédric, 2008. "Vehicle currency use in international trade," Journal of International Economics, Elsevier, vol. 76(2), pages 177-192, December.
    4. Ito, Takatoshi & Hashimoto, Yuko, 2006. "Intraday seasonality in activities of the foreign exchange markets: Evidence from the electronic broking system," Journal of the Japanese and International Economies, Elsevier, vol. 20(4), pages 637-664, December.
    5. Lyons, Richard K. & Moore, Michael J., 2009. "An information approach to international currencies," Journal of International Economics, Elsevier, vol. 79(2), pages 211-221, November.
    6. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    7. Cai, Fang & Howorka, Edward & Wongswan, Jon, 2008. "Informational linkages across trading regions: Evidence from foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1215-1243, December.
    8. de Jong, Frank, 2002. "Measures of contributions to price discovery: a comparison," Journal of Financial Markets, Elsevier, vol. 5(3), pages 323-327, July.
    9. Love, Ryan & Payne, Richard, 2008. "Macroeconomic News, Order Flows, and Exchange Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 467-488, June.
    10. Chaboud, Alain & Hjalmarsson, Erik & Zikes, Filip, 2021. "The evolution of price discovery in an electronic market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    11. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    12. G. Geoffrey Booth & Raymond W. So & Yiuman Tse, 1999. "Price discovery in the German equity index derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(6), pages 619-643, September.
    13. 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.
    14. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    15. Marc Flandreau & Clemens Jobst, 2009. "The Empirics of International Currencies: Network Externalities, History and Persistence," Economic Journal, Royal Economic Society, vol. 119(537), pages 643-664, April.
    16. Itzhak Ben‐David & Francesco Franzoni & Rabih Moussawi, 2018. "Do ETFs Increase Volatility?," Journal of Finance, American Finance Association, vol. 73(6), pages 2471-2535, December.
    17. Tang, Aidi & Yao, Wen, 2022. "The effects of financial integration during crises," Journal of International Money and Finance, Elsevier, vol. 124(C).
    18. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    19. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    20. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
    21. Mizrach, Bruce & Neely, Christopher J., 2008. "Information shares in the US Treasury market," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1221-1233, July.
    22. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    23. Yu-Lun Chen, 2020. "News announcements and price discovery in the RMB–USD market," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1487-1508, May.
    24. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    25. Krugman, Paul, 1980. "Vehicle Currencies and the Structure of International Exchange," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 12(3), pages 513-526, August.
    26. Harris, Frederick H. deB. & McInish, Thomas H. & Wood, Robert A., 2002. "Common factor components versus information shares: a reply," Journal of Financial Markets, Elsevier, vol. 5(3), pages 341-348, July.
    27. Moore, Michael J. & Payne, Richard, 2011. "On the sources of private information in FX markets," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1250-1262, May.
    28. Wang, Jianxin & Yang, Minxian, 2011. "Housewives of Tokyo versus the gnomes of Zurich: Measuring price discovery in sequential markets," Journal of Financial Markets, Elsevier, vol. 14(1), pages 82-108, February.
    29. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
    30. Roman Kozhan & Wing Wah Tham, 2012. "Execution Risk in High-Frequency Arbitrage," Management Science, INFORMS, vol. 58(11), pages 2131-2149, November.
    31. Chen, Yu-Lun & Gau, Yin-Feng, 2014. "Asymmetric responses of ask and bid quotes to information in the foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 194-204.
    32. Gau, Yin-Feng & Wu, Zhen-Xing, 2017. "Macroeconomic announcements and price discovery in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 232-254.
    33. deB. Harris, Frederick H. & McInish, Thomas H. & Shoesmith, Gary L. & Wood, Robert A., 1995. "Cointegration, Error Correction, and Price Discovery on Informationally Linked Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(4), pages 563-579, December.
    34. Akram, Q. Farooq & Rime, Dagfinn & Sarno, Lucio, 2008. "Arbitrage in the foreign exchange market: Turning on the microscope," Journal of International Economics, Elsevier, vol. 76(2), pages 237-253, December.
    35. Daniel Andrei & Michael Hasler, 2015. "Investor Attention and Stock Market Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 33-72.
    36. repec:bla:jfinan:v:59:y:2004:i:3:p:1235-1258 is not listed on IDEAS
    37. repec:bla:jfinan:v:59:y:2004:i:3:p:1201-1234 is not listed on IDEAS
    38. Zhong, Maosen & Darrat, Ali F. & Otero, Rafael, 2004. "Price discovery and volatility spillovers in index futures markets: Some evidence from Mexico," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 3037-3054, December.
    39. Duygun, Meryem & Tunaru, Radu & Vioto, Davide, 2021. "Herding by corporates in the US and the Eurozone through different market conditions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    40. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    41. Lehmann, Bruce N., 2002. "Some desiderata for the measurement of price discovery across markets," Journal of Financial Markets, Elsevier, vol. 5(3), pages 259-276, July.
    42. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    43. Naranjo, Andy & Nimalendran, M, 2000. "Government Intervention and Adverse Selection Costs in Foreign Exchange Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 453-477.
    44. repec:bla:jfinan:v:44:y:1989:i:1:p:1-17 is not listed on IDEAS
    45. De Jong, Frank & Mahieu, Ronald & Schotman, Peter, 1998. "Price discovery in the foreign exchange market: an empirical analysis of the yen/dmark rate1, 2," Journal of International Money and Finance, Elsevier, vol. 17(1), pages 5-27, February.
    46. Frijns, Bart & Zwinkels, Remco C.J., 2018. "Time-varying arbitrage and dynamic price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 485-502.
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    1. Congxiao Chen & Wenya Chen & Li Shang & Haiqiao Wang & Decai Tang & David D. Lansana, 2024. "Price discovery and volatility spillovers in the interest rate derivatives market," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.

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    More about this item

    Keywords

    Vehicle currency; Price discovery; Triangular arbitrage;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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