IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v77y2008i4p369-373.html
   My bibliography  Save this article

Do shocks to G7 stock prices have a permanent effect?

Author

Listed:
  • Narayan, Paresh Kumar

Abstract

There is a plethora of studies that investigate evidence for the behaviour of stock prices using univariate techniques for unit roots. Whether or not stock prices are characterised by a unit root have implications for the efficient market hypothesis, which asserts that returns of a stock market are unpredictable from previous price changes. The extant literature has found mixed evidence on the integrational properties of stock prices. In this paper, for the first time, we provide evidence on the unit root hypothesis for G7 stock price indices using the Lagrangian multiplier panel unit root test that allows for structural breaks. Our main finding is that stock prices are stationary processes, inconsistent with the efficient market hypothesis.

Suggested Citation

  • Narayan, Paresh Kumar, 2008. "Do shocks to G7 stock prices have a permanent effect?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(4), pages 369-373.
    • Handle: RePEc:eee:matcom:v:77:y:2008:i:4:p:369-373
    DOI: 10.1016/j.matcom.2007.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475407001565
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2007.03.003?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. M. F. M. Osborne, 1959. "Brownian Motion in the Stock Market," Operations Research, INFORMS, vol. 7(2), pages 145-173, April.
    2. Brennan, Michael J & Cao, H Henry, 1997. "International Portfolio Investment Flows," Journal of Finance, American Finance Association, vol. 52(5), pages 1851-1880, December.
    3. 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.
    4. Ball, Ray & Kothari, S. P., 1989. "Nonstationary expected returns : Implications for tests of market efficiency and serial correlation in returns," Journal of Financial Economics, Elsevier, vol. 25(1), pages 51-74, November.
    5. 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.
    6. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    7. Junsoo Lee & Mark C. Strazicich, 2001. "Break Point Estimation and Spurious Rejections With Endogenous Unit Root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(5), pages 535-558, December.
    8. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    9. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    10. Kyung‐So Im & Junsoo Lee & Margie Tieslau, 2005. "Panel LM Unit‐root Tests with Level Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(3), pages 393-419, June.
    11. Conrad, Jennifer & Kaul, Gautam, 1993. "Long-Term Market Overreaction or Biases in Computed Returns?," Journal of Finance, American Finance Association, vol. 48(1), pages 39-63, March.
    12. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.
    13. Lee, Junsoo & Strazicich, Mark C, 2001. "Break Point Estimation and Spurious Rejections with Endogenous Unit Root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(5), pages 535-558, December.
    14. Ball, Ray & Kothari, S. P. & Shanken, Jay, 1995. "Problems in measuring portfolio performance An application to contrarian investment strategies," Journal of Financial Economics, Elsevier, vol. 38(1), pages 79-107, May.
    15. 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.
    16. Zarowin, Paul, 1990. "Size, Seasonality, and Stock Market Overreaction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(1), pages 113-125, March.
    17. Chan, K C, 1988. "On the Contrarian Investment Strategy," The Journal of Business, University of Chicago Press, vol. 61(2), pages 147-163, April.
    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. Wang, Juan & Zhang, Dongxiang & Zhang, Jian, 2015. "Mean reversion in stock prices of seven Asian stock markets: Unit root test and stationary test with Fourier functions," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 157-164.
    2. Hu, Yang & Valera, Harold Glenn A. & Oxley, Les, 2019. "Market efficiency of the top market-cap cryptocurrencies: Further evidence from a panel framework," Finance Research Letters, Elsevier, vol. 31(C), pages 138-145.
    3. Nartea, Gilbert V. & Valera, Harold Glenn A. & Valera, Maria Luisa G., 2021. "Mean reversion in Asia-Pacific stock prices: New evidence from quantile unit root tests," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 214-230.
    4. Paresh Kumar Narayan & Sagarika Mishra & Seema Narayan, 2015. "New empirical evidence on the bid-ask spread," Applied Economics, Taylor & Francis Journals, vol. 47(42), pages 4484-4500, September.
    5. Mehmet Altuntaş & Emre Kılıç & Şevket Pazarcı & Alican Umut, 2022. "Borsa İstanbul Alt Endekslerinde Etkin Piyasa Hipotezinin Test Edilmesi: Fourier Kırılmalı ve Doğrusal Olmayan Birim Kök Testlerinden Kanıtlar," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 7(1), pages 169-185.
    6. Lee, Chien-Chiang & Lee, Jun-De & Lee, Chi-Chuan, 2010. "Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks," Japan and the World Economy, Elsevier, vol. 22(1), pages 49-58, January.
    7. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    8. Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
    9. Erdas Mehmet Levent, 2019. "Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 399-428, December.
    10. 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.
    11. Lee, Chien-Chiang & Lee, Jun-De, 2009. "Energy prices, multiple structural breaks, and efficient market hypothesis," Applied Energy, Elsevier, vol. 86(4), pages 466-479, April.
    12. 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.
    13. Tülin Anlas & Cengiz Toraman, 2016. "Analysing the Efficiency of the Turkish Stock Market with Multiple Structural Breaks," 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. 6(12), pages 721-740, December.
    14. Lu, Yang-Cheng & Chang, Tsangyao & Hung, Ken & Liu, Wen-Chi, 2010. "Mean reversion in G-7 stock prices: Further evidence from a panel stationary test with multiple structural breaks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2019-2025.
    15. Ilhan KUCUKKAPLAN & Emre KILIC & Sevket PAZARCI & Asım KAR, 2023. "Testing the Efficient Market Hypothesis in G8 Countries: New evidence from Unit Root Tests with Fourier Shifts," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 1-18, January.
    16. Salih Ulev & Mervan Selçuk, 2022. "Testing the Weak-Form Market Efficiency for the Islamic Market Indices: Evidence from Fourier Wavelet ADF Unit Root Test," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 315-329, July.

    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. Lee, Chien-Chiang & Lee, Jun-De & Lee, Chi-Chuan, 2010. "Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks," Japan and the World Economy, Elsevier, vol. 22(1), pages 49-58, January.
    2. Nartea, Gilbert V. & Valera, Harold Glenn A. & Valera, Maria Luisa G., 2021. "Mean reversion in Asia-Pacific stock prices: New evidence from quantile unit root tests," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 214-230.
    3. Hon, Mark T. & Tonks, Ian, 2003. "Momentum in the UK stock market," Journal of Multinational Financial Management, Elsevier, vol. 13(1), pages 43-70, February.
    4. Wang, Juan & Zhang, Dongxiang & Zhang, Jian, 2015. "Mean reversion in stock prices of seven Asian stock markets: Unit root test and stationary test with Fourier functions," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 157-164.
    5. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, November.
    6. Udomsak Wongchoti & Chong Soo Pyun, 2005. "Risk‐Adjusted Long‐Term Contrarian Profits: Evidence from Non‐S&P 500 High‐Volume Stocks," The Financial Review, Eastern Finance Association, vol. 40(3), pages 335-359, August.
    7. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    8. Trabelsi, Mohamed Ali, 2010. "Choix de portefeuille: comparaison des différentes stratégies [Portfolio selection: comparison of different strategies]," MPRA Paper 82946, University Library of Munich, Germany, revised 01 Dec 2010.
    9. Dimitris Kenourgios & Nikolaos Pavlidis, 2005. "Individual Analysts’ Earnings Forecasts: Evidence for Overreaction in the UK Stock Market," Finance 0512011, University Library of Munich, Germany.
    10. Stuart Locke & Kartick Gupta, 2009. "Applicability of Contrarian Strategy in the Bombay Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 165-189, May.
    11. Lasfer, M. Ameziane & Melnik, Arie & Thomas, Dylan C., 2003. "Short-term reaction of stock markets in stressful circumstances," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 1959-1977, October.
    12. Bartholdy, Jan, 1998. "Changes in earnings-price ratios and excess returns: A case of investor over-reaction," International Review of Financial Analysis, Elsevier, vol. 7(3), pages 237-252.
    13. Fernando Rubio, 2005. "Estrategias Cuantitativas De Valor Y Retornos Por Accion De Largo," Finance 0503029, University Library of Munich, Germany.
    14. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    15. Alves, Paulo & Carvalho, Luís, 2020. "Recent evidence on international stock market’s overreaction," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    16. Antonios Antoniou & Emilios C. Galariotis & Spyros I. Spyrou, 2006. "Short‐term Contrarian Strategies in the London Stock Exchange: Are They Profitable? Which Factors Affect Them?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(5‐6), pages 839-867, June.
    17. Stephen Foerster, 2011. "Double then Nothing: Why Stock Investments Relying on Simple Heuristics May Disappoint," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(2), pages 115-140, September.
    18. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    19. Lu, Yang-Cheng & Chang, Tsangyao & Hung, Ken & Liu, Wen-Chi, 2010. "Mean reversion in G-7 stock prices: Further evidence from a panel stationary test with multiple structural breaks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2019-2025.
    20. Baur, Robert Frederick, 1992. "Overreaction in futures markets," ISU General Staff Papers 1992010108000010973, Iowa State University, Department of Economics.

    More about this item

    Keywords

    Stock prices; Efficient market hypothesis; Lagrangian multiplier panel unit root test;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:eee:matcom:v:77:y:2008:i:4:p:369-373. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.