IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v32y2008i3p271-293.html
   My bibliography  Save this article

Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies

Author

Listed:
  • Nikiforos Laopodis

Abstract

No abstract is available for this item.

Suggested Citation

  • Nikiforos Laopodis, 2008. "Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(3), pages 271-293, July.
    • Handle: RePEc:spr:jecfin:v:32:y:2008:i:3:p:271-293
    DOI: 10.1007/s12197-007-9018-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12197-007-9018-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s12197-007-9018-y?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. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    2. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    3. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    4. Robert J. Shiller, 1984. "Stock Prices and Social Dynamics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 15(2), pages 457-510.
    5. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    6. Madrigal, Vicente, 1996. "Non-fundamental Speculation," Journal of Finance, American Finance Association, vol. 51(2), pages 553-578, June.
    7. David M. Cutler & James M. Poterba & Lawrence H. Summers, 1991. "Speculative Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 529-546.
    8. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    9. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 317-355.
    10. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    11. Farmer, J. Doyne & Joshi, Shareen, 2002. "The price dynamics of common trading strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.
    12. Gregory Koutmos & Reza Saidi, 2001. "Positive feedback trading in emerging capital markets," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 291-297.
    13. Conrad, Jennifer & Kaul, Gautam, 1988. "Time-Variation in Expected Returns," The Journal of Business, University of Chicago Press, vol. 61(4), pages 409-425, October.
    14. 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.
    15. Maria Aguirre & Reza Saidi, 1999. "Feedback trading in exchange-rate markets: Evidence from within and across economic blocks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(1), pages 1-14, March.
    16. Allen, Helen & Taylor, Mark P, 1990. "Charts, Noise and Fundamentals in the London Foreign Exchange Market," Economic Journal, Royal Economic Society, vol. 100(400), pages 49-59, Supplemen.
    17. Geoffrey Booth, G. & Hatem, John & Virtanen, Ilkka & Yli-Olli, Paavo, 1992. "Stochastic modeling of security returns: Evidence from the Helsinki Stock Exchange," European Journal of Operational Research, Elsevier, vol. 56(1), pages 98-106, January.
    18. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. "Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-118, March.
    19. Jeffrey A. Frankel & Kenneth A. Froot, 1985. "Using Survey Data to Test Some Standard Propositions Regarding Exchange Rate Expectations," NBER Working Papers 1672, National Bureau of Economic Research, Inc.
    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. Warren Dean & Robert Faff, 2011. "Feedback trading and the behavioural ICAPM: multivariate evidence across international equity and bond markets," Applied Financial Economics, Taylor & Francis Journals, vol. 21(22), pages 1665-1678.
    2. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    3. Laopodis, Nikiforos T., 2005. "Feedback trading and autocorrelation interactions in the foreign exchange market: Further evidence," Economic Modelling, Elsevier, vol. 22(5), pages 811-827, September.

    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. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    2. Laopodis, Nikiforos T., 2005. "Feedback trading and autocorrelation interactions in the foreign exchange market: Further evidence," Economic Modelling, Elsevier, vol. 22(5), pages 811-827, September.
    3. Koutmos, Gregory, 1997. "Feedback trading and the autocorrelation pattern of stock returns: further empirical evidence," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 625-636, August.
    4. Koutmos, Gregory, 1998. "Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 277-290, May.
    5. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2017. "Stock return autocorrelation, day of the week and volatility," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 16(2), pages 218-238, May.
    6. Schuppli, Michael & Bohl, Martin T., 2010. "Do foreign institutional investors destabilize China's A-share markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(1), pages 36-50, February.
    7. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2015. "Behaviour of Stock Return Autocorrelation in the GCC Stock Markets," Global Business Review, International Management Institute, vol. 16(5), pages 737-746, October.
    8. Michael Schuppli & Martin T. Bohl, 2009. "Do Foreign Institutional Investors Destabilize China’s A-Share Markets?," CQE Working Papers 0909, Center for Quantitative Economics (CQE), University of Muenster.
    9. Martin T. Bohl & Pierre Siklos, 2004. "Empirical Evidence on Feedback Trading in Mature and Emerging Stock Markets," Research Paper Series 137, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Toshiaki Watanabe, 2002. "Margin requirements, positive feedback trading, and stock return autocorrelations: the case of Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 12(6), pages 395-403.
    11. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).
    12. 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.
    13. Hou, Yang & Li, Steven, 2014. "The impact of the CSI 300 stock index futures: Positive feedback trading and autocorrelation of stock returns," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 319-337.
    14. Siklos, Pierre L. & Bohl, Martin T., 2005. "Trading Behavior During Stock Market Downturns: The Dow, 1915 - 2004," Working Paper Series 2005,7, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    15. Saint Kuttu & Godfred A. Bokpin, 2017. "Feedback Trading and Autocorrelation Patterns in Sub-Saharan African Equity Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(1), pages 213-225, January.
    16. Bohl, Martin T. & Klein, Arne C. & Siklos, Pierre L., 2013. "Are short sellers positive feedback traders? Evidence from the global financial crisis," Journal of Financial Stability, Elsevier, vol. 9(3), pages 337-346.
    17. Kutan, Ali M. & Shi, Yukun & Wei, Mingzhe & Zhao, Yang, 2018. "Does the introduction of index futures stabilize stock markets? Further evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 183-197.
    18. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    19. Antoniou, Antonios & Koutmos, Gregory & Pericli, Andreas, 2005. "Index futures and positive feedback trading: evidence from major stock exchanges," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 219-238, March.
    20. Christian Pierdzioch & Andrea Schertler, 2007. "Sources of Predictability of European Stock Markets for High-technology Firms," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 1-27.

    More about this item

    Keywords

    Noise trading; Autocorrelation; GARCH; Asymmetry; Exchange rate; F31; F37; C32;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • 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

    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:spr:jecfin:v:32:y:2008:i:3:p:271-293. 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.