IDEAS home Printed from https://ideas.repec.org/p/ecm/feam04/679.html
   My bibliography  Save this paper

The Impact of the Japanese Banking Crisis on the Intraday FX Market

Author

Listed:
  • Yuko Hashimoto

Abstract

Using the tick-by-tick yen/dollar exchange rate, this paper examines the effect of Japanese banking crisis in late 1997 on the foreign exchange market. By high-frequency methodology, GARCH estimation and variance-ratio tests, the existence of a structural break in the foreign exchange market at the onset of the crisis is detected. We show a reversed pattern in return volatility after the series of bankruptcies. From the microstructure analysis, it is found that the change in exchange rate dynamics can be attributed to a change in strategic foreign exchange trade behavior. The result provides new insights into the trading activities of market makers at the onset of bank failures

Suggested Citation

  • Yuko Hashimoto, 2004. "The Impact of the Japanese Banking Crisis on the Intraday FX Market," Econometric Society 2004 Far Eastern Meetings 679, Econometric Society.
  • Handle: RePEc:ecm:feam04:679
    as

    Download full text from publisher

    File URL: http://repec.org/esFEAM04/up.12209.1080702236.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Takatoshi Ito & Richard K. Lyons & Michael T. Melvin, 1996. "Is There Private Information in the FX Market? The Tokyo Experiment," Working Papers _005, University of California at Berkeley, Haas School of Business.
    2. Martens, Martin, 2001. "Forecasting daily exchange rate volatility using intraday returns," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 1-23, February.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
    5. Goodhart, C A E, et al, 1993. "New Effects in a High-Frequency Model of the Sterling-Dollar Exchange Rate," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 1-13, Jan.-Marc.
    6. Takeo Hoshi & Anil Kashyap, 2000. "The Japanese Banking Crisis: Where Did It Come From and How Will It End?," NBER Chapters, in: NBER Macroeconomics Annual 1999, Volume 14, pages 129-212, National Bureau of Economic Research, Inc.
    7. Adam S. Posen & Ryoichi Mikitani (ed.), 2000. "Japan's Financial Crisis and Its Parallels to U. S. Experience," Peterson Institute Press: All Books, Peterson Institute for International Economics, number sr13, April.
    8. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    9. Ito, Takatoshi & Roley, V. Vance, 1987. "News from the U.S. and Japan : Which moves the yen/dollar exchange rate?," Journal of Monetary Economics, Elsevier, vol. 19(2), pages 255-277, March.
    10. Thomas F. Cargill & Michael M. Hutchison & Takatoshi Ito, 1997. "The Political Economy of Japanese Monetary Policy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262032473, April.
    11. Richard K. Lyons, 2006. "The Microstructure Approach to Exchange Rates," MIT Press Books, The MIT Press, edition 1, volume 1, number 026262205x, April.
    12. 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.
    13. Thomas F. Cargill & Michael M. Hutchison & Takatoshi Ito, 2001. "Financial Policy and Central Banking in Japan," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262032856, April.
    14. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    15. DeGennaro, Ramon P. & Shrieves, Ronald E., 1997. "Public information releases, private information arrival and volatility in the foreign exchange market," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 295-315, December.
    16. repec:bla:jfinan:v:53:y:1998:i:3:p:1111-1130 is not listed on IDEAS
    17. Richard T. Baillie & Tim Bollerslev, 1991. "Intra-Day and Inter-Market Volatility in Foreign Exchange Rates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 565-585.
    18. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    19. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc.
    20. Peiers, Bettina, 1997. "Informed Traders, Intervention, and Price Leadership: A Deeper View of the Microstructure of the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1589-1614, September.
    21. repec:bla:jfinan:v:53:y:1998:i:1:p:219-265 is not listed on IDEAS
    22. Bollerslev, Tim & Domowitz, Ian, 1993. "Trading Patterns and Prices in the Interbank Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 48(4), pages 1421-1443, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hashimoto, Yuko, 2005. "The impact of the Japanese banking crisis on the intraday FX market in late 1997," Journal of Asian Economics, Elsevier, vol. 16(2), pages 205-222, April.
    2. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    3. Torben G. Andersen & Tim Bollerslev, 1996. "DM-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," NBER Working Papers 5783, National Bureau of Economic Research, Inc.
    4. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    5. 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.
    6. Martin D. D. Evans, 2017. "FX Trading and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 5, pages 189-245, World Scientific Publishing Co. Pte. Ltd..
    7. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    8. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    9. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290, World Scientific Publishing Co. Pte. Ltd..
    10. Xiufeng Yan, 2021. "Multiplicative Component GARCH Model of Intraday Volatility," Papers 2111.02376, arXiv.org.
    11. GIOT, Pierre, 1999. "Time transformations, intraday data and volatility models," LIDAM Discussion Papers CORE 1999044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. DeGennaro, Ramon P. & Shrieves, Ronald E., 1997. "Public information releases, private information arrival and volatility in the foreign exchange market," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 295-315, December.
    13. repec:uts:finphd:39 is not listed on IDEAS
    14. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 361-385.
    15. Mauro Bernardi & Leopoldo Catania & Lea Petrella, 2014. "Are news important to predict large losses?," Papers 1410.6898, arXiv.org, revised Oct 2014.
    16. Dominguez, Kathryn M. E., 2003. "The market microstructure of central bank intervention," Journal of International Economics, Elsevier, vol. 59(1), pages 25-45, January.
    17. David-Jan Jansen & Jakob de Haan & Jakob de Haan, 2003. "Statements of ECB Officials and their Effect on the Level and Volatility of the Euro-Dollar Exchange Rate," CESifo Working Paper Series 927, CESifo.
    18. Young Wook Han, 2010. "The Effects of US Macroeconomic Surprises on the Intraday Movements of Foreign Exchange Rates: Cases of USD-EUR and USD-JPY Exchange Rates," International Economic Journal, Taylor & Francis Journals, vol. 24(3), pages 375-396.
    19. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, September.
    20. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    21. repec:uts:finphd:38 is not listed on IDEAS
    22. Martin D. D. Evans(Georgetown University and NBER), 2005. "What are the Origins of Foreign Exchange Movements?," Working Papers gueconwpa~05-05-06, Georgetown University, Department of Economics.

    More about this item

    Keywords

    Intraday exchange rate; Banking crisis; GARCH; microstructure;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecm:feam04:679. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.