IDEAS home Printed from https://ideas.repec.org/a/bla/asiaec/v21y2007i4p369-386.html
   My bibliography  Save this article

Special Quotes Invoke Autocorrelation in Japanese Stock Prices

Author

Listed:
  • Yoshiro Tsutsui
  • Kenjiro Hirayama
  • Takahiro Tanaka
  • Nobutaka Uesugi

Abstract

It is reported in the present paper that 1‐min returns on TOPIX have exhibited significant autocorrelation at 5‐min intervals since 1997/1998. Special quotes that are issued whenever there is a price jump in excess of a predetermined band seem to be the source of this autocorrelation, because these have been automatically updated at 5‐min intervals since August 1998 and have appeared during the first 30 min from opening. Individual stock returns also exhibit fifth‐order autocorrelation, but this disappears when the data with special quotes are excluded from the sample. Therefore, the autocorrelation is caused by the special quotes: a type of market microstructure noise.

Suggested Citation

  • Yoshiro Tsutsui & Kenjiro Hirayama & Takahiro Tanaka & Nobutaka Uesugi, 2007. "Special Quotes Invoke Autocorrelation in Japanese Stock Prices," Asian Economic Journal, East Asian Economic Association, vol. 21(4), pages 369-386, December.
    • Handle: RePEc:bla:asiaec:v:21:y:2007:i:4:p:369-386
    DOI: 10.1111/j.1467-8381.2007.00262.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-8381.2007.00262.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-8381.2007.00262.x?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
    ---><---

    References listed on IDEAS

    as
    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    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. Kee H. Chung & Bonnie F. Van Ness & Robert A. Van Ness, 2004. "Trading Costs And Quote Clustering On The Nyse And Nasdaq After Decimalization," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(3), pages 309-328, September.
    4. Mech, Timothy S., 1993. "Portfolio return autocorrelation," Journal of Financial Economics, Elsevier, vol. 34(3), pages 307-344, December.
    5. Jain, Prem C, 1988. "Response of Hourly Stock Prices and Trading Volume to Economic News," The Journal of Business, University of Chicago Press, vol. 61(2), pages 219-231, April.
    6. Amihud, Yakov & Mendelson, Haim, 1991. "Volatility, Efficiency, and Trading: Evidence from the Japanese Stock Market," Journal of Finance, American Finance Association, vol. 46(5), pages 1765-1789, December.
    7. Yoshiro Tsutsui & Kenjiro Hirayama, 2003. "Market Efficiency and International Linkage of Stock Prices: An Analysis with High-Frequency Data," Discussion Papers in Economics and Business 03-04-Rev, Osaka University, Graduate School of Economics, revised Oct 2004.
    8. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    9. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
    10. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    11. Almeida, Alvaro & Goodhart, Charles & Payne, Richard, 1998. "The Effects of Macroeconomic News on High Frequency Exchange Rate Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(3), pages 383-408, September.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211.
    14. Hansen, Peter R. & Lunde, Asger, 2006. "Realized Variance and Market Microstructure Noise," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 127-161, April.
    15. 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.
    16. Woodruff, Catherine S & Senchack, A J, Jr, 1988. " Intradaily Price-Volume Adjustments of NYSE Stocks to Unexpected Earnings," Journal of Finance, American Finance Association, vol. 43(2), pages 467-491, June.
    17. Zhou, Bin, 1996. "High-Frequency Data and Volatility in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 45-52, January.
    18. Tsutsui, Yoshiro, 2003. "Stock prices in Japan rise at night," Japan and the World Economy, Elsevier, vol. 15(4), pages 391-406, December.
    19. Rhee, S. Ghon & Wang, Chi-Jeng, 1997. "The bid-ask bounce effect and the spread size effect: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 5(2), pages 231-258, June.
    20. Kadlec, Gregory B & Patterson, Douglas M, 1999. "A Transactions Data Analysis of Nonsynchronous Trading," Review of Financial Studies, Society for Financial Studies, vol. 12(3), pages 609-630.
    21. George Papachristou, 1999. "Stochastic behaviour of the Athens Stock Exchange: a case of institutional nonsynchronous trading," Applied Financial Economics, Taylor & Francis Journals, vol. 9(3), pages 239-250.
    22. Simone Bianco & Roberto Renò, 2006. "Dynamics of intraday serial correlation in the Italian futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(1), pages 61-84, January.
    23. Ederington, Louis H. & Lee, Jae Ha, 1995. "The Short-Run Dynamics of the Price Adjustment to New Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 117-134, March.
    24. Boudoukh, Jacob & Richardson, Matthew P & Whitelaw, Robert F, 1994. "A Tale of Three Schools: Insights on Autocorrelations of Short-Horizon Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 539-573.
    25. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    26. Gosnell, Thomas F. & Keown, Arthur J. & Pinkerton, John M., 1996. "The intraday speed of stock price adjustment to major dividend changes: Bid-ask bounce and order flow imbalances," Journal of Banking & Finance, Elsevier, vol. 20(2), pages 247-266, March.
    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. Nishimura, Yusaku & Tsutsui, Yoshiro & Hirayama, Kenjiro, 2015. "Intraday return and volatility spillover mechanism from Chinese to Japanese stock market," Journal of the Japanese and International Economies, Elsevier, vol. 35(C), pages 23-42.
    2. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2012. "Return and Volatility Spillovers between Japanese and Chinese Stock Markets FAn Analysis of Overlapping Trading Hours with High-frequency Data," Discussion Papers in Economics and Business 12-01, Osaka University, Graduate School of Economics.
    3. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2016. "The Chinese Stock Market Does not React to the Japanese Market: Using Intraday Data to Analyse Return and Volatility Spillover Effects," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 280-294, 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. Camilleri, Silvio John & Green, Christopher J., 2014. "Stock market predictability: Non-synchronous trading or inefficient markets? Evidence from the National Stock Exchange of India," MPRA Paper 95302, University Library of Munich, Germany.
    2. Anderson, Robert M. & Eom, Kyong Shik & Hahn, Sang Buhm & Park, Jong-Ho, 2007. "Stock Return Autocorrelation is Not Spurious," Department of Economics, Working Paper Series qt2k7414sv, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Chelley-Steeley, Patricia L. & Steeley, James M., 2014. "Portfolio size, non-trading frequency and portfolio return autocorrelation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 56-77.
    4. Yoshiro Tsutsui & Kenjiro Hirayama, 2010. "How Fast Do Tokyo And New York Stock Exchanges Respond To Each Other? An Analysis With High‐Frequency Data," The Japanese Economic Review, Japanese Economic Association, vol. 61(2), pages 175-201, June.
    5. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 2002. "Partial Adjustment or Stale Prices? Implications from Stock Index and Futures Return Autocorrelations," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 655-689, March.
    6. Joanna Olbryś & Elżbieta Majewska, 2014. "Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(1), pages 51-70.
    7. 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.
    8. Sias, Richard W. & Starks, Laura T., 1997. "Return autocorrelation and institutional investors," Journal of Financial Economics, Elsevier, vol. 46(1), pages 103-131, October.
    9. Roberto Ortiz & Mauricio Contreras & Marcelo Villena, 2015. "On the Efficient Market Hypothesis of Stock Market Indexes: The Role of Non-synchronous Trading and Portfolio Effects," Papers 1510.03926, arXiv.org.
    10. Andrey Kudryavtsev, 2014. "When Do Opening Stock Returns Tend to be Higher?," International Economic Journal, Taylor & Francis Journals, vol. 28(3), pages 445-458, September.
    11. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    12. G.S Morgan & Peter N. Smith & S.H. Thomas, "undated". "Portfolio return autocorrelation and non-synchronous trading in UK equities," Discussion Papers 00/46, Department of Economics, University of York.
    13. Simone Bianco & Roberto Ren'o, 2006. "Unexpected volatility and intraday serial correlation," Papers physics/0610023, arXiv.org.
    14. Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," OFRC Working Papers Series 2005fe08, Oxford Financial Research Centre.
    15. 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.
    16. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    17. Hurvich, Cliiford & Wang, Yi, 2006. "A Pure-Jump Transaction-Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects," MPRA Paper 1413, University Library of Munich, Germany.
    18. Sylwia Nowak, 2008. "How Do Public Announcements Affect The Frequency Of Trading In U.S. Airline Stocks?," CAMA Working Papers 2008-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    19. Andrey Kudryavtsev, 2013. "Think About Tomorrow Morning: Opening Stock Returns May Show Reversals," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 16(50), pages 51-64, December.
    20. Pierdzioch, Christian, 2004. "Feedback Trading and Predictability of Stock Returns in Germany, 1880?1913," Kiel Working Papers 1213, Kiel Institute for the World Economy (IfW Kiel).

    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:bla:asiaec:v:21:y:2007:i:4:p:369-386. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/eaeaaea.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.