IDEAS home Printed from https://ideas.repec.org/a/kap/atlecj/v26y1998i1p44-53.html
   My bibliography  Save this article

Twice a day or continuously? Observation frequency and inference on foreign exchange volatility persistence

Author

Listed:
  • Michael Melvin
  • Bettina Peiers

Abstract

This paper examines how observation frequency alters inference on cross-locational volatility dependencies in the foreign exchange market. When volatility proxies are based on tick-by-tick exchange rate quotes, this paper finds evidence of statistically significant own-region volatility persistence as well as symmetric interregional dependence. In addition, this paper detects strong day-of-the-week effects, with Mondays displaying the lowest volatility. These results differ from previous studies which based volatility estimates on only two daily observations per region. Copyright International Atlantic Economic Society 1998

Suggested Citation

  • Michael Melvin & Bettina Peiers, 1998. "Twice a day or continuously? Observation frequency and inference on foreign exchange volatility persistence," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 26(1), pages 44-53, March.
  • Handle: RePEc:kap:atlecj:v:26:y:1998:i:1:p:44-53
    DOI: 10.1007/BF02298370
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02298370
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF02298370?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ito, Takatoshi & Engle, Robert F. & Lin, Wen-Ling, 1992. "Where does the meteor shower come from? : The role of stochastic policy coordination," Journal of International Economics, Elsevier, vol. 32(3-4), pages 221-240, May.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Hogan, Kedreth Jr. & Melvin, Michael T., 1994. "Sources of meteor showers and heat waves in the foreign exchange market," Journal of International Economics, Elsevier, vol. 37(3-4), pages 239-247, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andreas Fischer, 2003. "Reuters News Reports versus Official Interventions: A Cautionary Warning," Working Papers 03.06, Swiss National Bank, Study Center Gerzensee.
    2. Ibrahim Chowdhury & Lucio Sarno, 2004. "Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 759-793, June.

    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. 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.
    2. repec:uts:finphd:39 is not listed on IDEAS
    3. repec:uts:finphd:38 is not listed on IDEAS
    4. Su, Fei, 2021. "Conditional volatility persistence and volatility spillovers in the foreign exchange market," Research in International Business and Finance, Elsevier, vol. 55(C).
    5. Fei Su, 2018. "Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2018, January-A.
    6. Bubák, Vít & Kocenda, Evzen & Zikes, Filip, 2011. "Volatility transmission in emerging European foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2829-2841, November.
    7. 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..
    8. 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.
    9. 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.
    10. Jérôme Lahaye & Christopher Neely, 2020. "The Role of Jumps in Volatility Spillovers in Foreign Exchange Markets: Meteor Shower and Heat Waves Revisited," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 410-427, April.
    11. Ibrahim Chowdhury & Lucio Sarno, 2004. "Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 759-793, June.
    12. Ibrahim, Boulis Maher & Brzeszczynski, Janusz, 2009. "Inter-regional and region-specific transmission of international stock market returns: The role of foreign information," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 322-343, March.
    13. Hua, Mingshu & Gau, Yin-Feng, 2006. "Determinants of periodic volatility of intraday exchange rates in the Taipei FX Market," Pacific-Basin Finance Journal, Elsevier, vol. 14(2), pages 193-208, April.
    14. Syed Jawad Hussain Shahzad & Jose Arreola‐Hernandez & Md Lutfur Rahman & Gazi Salah Uddin & Muhammad Yahya, 2021. "Asymmetric interdependence between currency markets' volatilities across frequencies and time scales," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2436-2457, April.
    15. Chuliá, Helena & Fernández, Julián & Uribe, Jorge M., 2018. "Currency downside risk, liquidity, and financial stability," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 83-102.
    16. Martin D. D. Evans, 2002. "FX Trading and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 57(6), pages 2405-2447, December.
    17. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    18. Melvin, Michael & Yin, Xixi, 2000. "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Economic Journal, Royal Economic Society, vol. 110(465), pages 644-661, July.
    19. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, October.
    20. Boulis Ibrahim & Janusz Brzeszczynski, 2013. "Interdependence of Stock Markets Before and After the Global Financial Crisis of 2007," CFI Discussion Papers 1305, Centre for Finance and Investment, Heriot Watt University.
    21. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    22. Elaine Mosakowski & Srilata Zaheer, 1999. "The Global Configuration of a Speculative Trading Operation: An Empirical Study of Foreign Exchange Trading," Organization Science, INFORMS, vol. 10(4), pages 401-423, August.

    More about this item

    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:kap:atlecj:v:26:y:1998:i:1:p:44-53. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.