Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/taf/macfem/v10y2017i1p88-106.html
   My bibliography  Save this article

The random-walk hypothesis revisited: new evidence on multiple structural breaks in emerging markets

Author

Listed:
  • Geoffrey Ngene
  • Kenneth A. Tah
  • Ali F. Darrat
Abstract
We examine whether stock prices in 18 emerging markets follow random-walk or mean-reversion processes in the presence of sudden and gradual multiple structural breaks. Our tests endogenously determined the structural shifts and are more powerful than either the traditional random-walk (unit root) tests or the single structural break tests. In all emerging markets, we find strong evidence for multiple structural breaks. When we use single break tests, the random-walk hypothesis is rejected. However, when we use tests of double level shifts in the mean and make due allowance for multiple structural breaks, the results are consistent with the random-walk hypothesis in the vast majority of the sampled markets. The evidence proves robust to using price indexes whether denominated in U.S. dollars, in local currencies or in real terms, and also to using fractional integration tests. Our results contradict some previous studies for emerging markets which restrict structural breaks to only one-time shift.

Suggested Citation

  • Geoffrey Ngene & Kenneth A. Tah & Ali F. Darrat, 2017. "The random-walk hypothesis revisited: new evidence on multiple structural breaks in emerging markets," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 10(1), pages 88-106, January.
    • Handle: RePEc:taf:macfem:v:10:y:2017:i:1:p:88-106
    DOI: 10.1080/17520843.2016.1210189
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17520843.2016.1210189
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17520843.2016.1210189?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. Myung Jig Kim & Charles R. Nelson & Richard Startz, 1991. "Mean Reversion in Stock Prices? A Reappraisal of the Empirical Evidence," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 515-528.
    2. Malliaropulos, Dimitrios & Priestley, Richard, 1999. "Mean reversion in Southeast Asian stock markets," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 355-384, October.
    3. Perron, Pierre & Vogelsang, Timothy J., "undated". "Level Shifts and Purchasing Power Parity," Instructional Stata datasets for econometrics levshift, Boston College Department of Economics.
    4. Paresh Kumar Narayan & Russell Smyth, 2005. "Are OECD stock prices characterized by a random walk? Evidence from sequential trend break and panel data models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(8), pages 547-556.
    5. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Richards, Anthony J, 1997. "Winner-Loser Reversals in National Stock Market Indices: Can They Be Explained?," Journal of Finance, American Finance Association, vol. 52(5), pages 2129-2144, December.
    8. Bekaert, G. & Harvey, C. R. & Lumsdaine, R. L., 2002. "The dynamics of emerging market equity flows," Journal of International Money and Finance, Elsevier, vol. 21(3), pages 295-350, June.
    9. Narayan, Paresh Kumar & Smyth, Russell, 2007. "Mean reversion versus random walk in G7 stock prices evidence from multiple trend break unit root tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 152-166, April.
    10. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    11. Chanwit Phengpis, 2006. "Are emerging stock market price indices really stationary?," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 931-939.
    12. Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
    13. Baum, Christopher F. & Barkoulas, John T. & Caglayan, Mustafa, 1999. "Long memory or structural breaks: can either explain nonstationary real exchange rates under the current float?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 359-376, November.
    14. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    15. McQueen, Grant, 1992. "Long-Horizon Mean-Reverting Stock Prices Revisited," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(1), pages 1-18, March.
    16. Vogelsang, Timothy J & Perron, Pierre, 1998. "Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1073-1100, November.
    17. 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.
    18. Paramita Mukherjee & Suchismita Bose, 2008. "Does the Stock Market in India Move with Asia?: A Multivariate Cointegration-Vector Autoregression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(5), pages 5-22, September.
    19. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    20. 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.
    21. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    22. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    23. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    24. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    25. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
    26. Copeland, Laurence & Heravi, Saeed, 2006. "Structural Breaks in the Real Exchange Rate Adjustment Mechanism," Cardiff Economics Working Papers E2006/21, Cardiff University, Cardiff Business School, Economics Section.
    27. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    28. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    29. Ronald Balvers & Yangru Wu & Erik Gilliland, 2000. "Mean Reversion across National Stock Markets and Parametric Contrarian Investment Strategies," Journal of Finance, American Finance Association, vol. 55(2), pages 745-772, April.
    30. Zhen Zhu, 1998. "The random walk of stock prices: evidence from a panel of G-7 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 5(7), pages 411-413.
    31. Dan Ben-David & Robin L. Lumsdaine & David H. Papell, 2003. "Unit roots, postwar slowdowns and long-run growth: Evidence from two structural breaks," Empirical Economics, Springer, vol. 28(2), pages 303-319, April.
    32. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, February.
    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. Ume Habibah & Niaz Hussain Ghumro & Manzoor Ali Mirani, 2017. "Testing the Random Walk Hypothesis: A Case of Pakistan," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(7), pages 551-564, July.
    2. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    3. Nevi Danila, 2022. "Random Walk of Socially Responsible Investment in Emerging Market," Sustainability, MDPI, vol. 14(19), pages 1-13, 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. Chancharat, Surachai & Valadkhani, Abbas, 2007. "Structural Breaks and Testing for the Random Walk Hypothesis in International Stock Prices," MPRA Paper 50394, University Library of Munich, Germany.
    2. Paresh Kumar Narayan & Russell Smyth, 2005. "Are OECD stock prices characterized by a random walk? Evidence from sequential trend break and panel data models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(8), pages 547-556.
    3. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    4. Narayan, Paresh Kumar & Narayan, Seema & Mishra, Sagarika, 2013. "Has the structural break slowed down growth rates of stock markets?," Economic Modelling, Elsevier, vol. 30(C), pages 595-601.
    5. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
    6. repec:ebl:ecbull:v:3:y:2008:i:11:p:1-11 is not listed on IDEAS
    7. Cunado, J. & Gil-Alana, L.A. & Gracia, Fernando Perez de, 2010. "Mean reversion in stock market prices: New evidence based on bull and bear markets," Research in International Business and Finance, Elsevier, vol. 24(2), pages 113-122, June.
    8. Chan, Felix & Pauwels, Laurent, 2011. "Model specification in panel data unit root tests with an unknown break," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1299-1309.
    9. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Do stock returns in India exhibit a mean reverting tendency? Evidence from multiple structural breaks test," MPRA Paper 46502, University Library of Munich, Germany.
    10. Narayan, Paresh Kumar & Smyth, Russell, 2007. "Mean reversion versus random walk in G7 stock prices evidence from multiple trend break unit root tests," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 152-166, April.
    11. Travaglini, Guido, 2007. "The U.S. Dynamic Taylor Rule With Multiple Breaks, 1984-2001," MPRA Paper 3419, University Library of Munich, Germany, revised 15 Jun 2007.
    12. repec:idn:journl:v:1:y:2019:i:sp1:p:1-26 is not listed on IDEAS
    13. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Kok, Dundar, 2019. "Do stock markets follow a random walk? New evidence for an old question," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 165-175.
    14. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
    15. Marcela Sabaté, 2009. "Vertical Specialization and Nonstationarities in International Trade Series," The Institute for International Integration Studies Discussion Paper Series iiisdp309, IIIS.
    16. George Halkos & Ilias Kevork, 2005. "A comparison of alternative unit root tests," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(1), pages 45-60.
    17. Monojit Chatterji & Homagni Choudhury, 2010. "Growth Rate Estimation in the presence of Unit Roots," Dundee Discussion Papers in Economics 245, Economic Studies, University of Dundee.
    18. Mohitosh Kejriwal & Claude Lopez, 2013. "Unit Roots, Level Shifts, and Trend Breaks in Per Capita Output: A Robust Evaluation," Econometric Reviews, Taylor & Francis Journals, vol. 32(8), pages 892-927, November.
    19. Kim, Dukpa & Perron, Pierre, 2009. "Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses," Journal of Econometrics, Elsevier, vol. 148(1), pages 1-13, January.
    20. Lusine Lusinyan & John Thornton, 2011. "Unit roots, structural breaks and cointegration in the UK public finances, 1750-2004," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2583-2592.
    21. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    22. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2013. "International Labour Force Participation Rates By Gender: Unit Root Or Structural Breaks?," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 142-164, May.

    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:taf:macfem:v:10:y:2017:i:1:p:88-106. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REME20 .

    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.