IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v10y2000i5p489-492.html
   My bibliography  Save this article

Evidence of market inefficiency in a war environment

Author

Listed:
  • David Chappell
  • Robert Eldridge

Abstract

This paper examines the UK FT30 stock index during the Second World War period 1939-1945 for weak form efficiency, showing that there is substantial structure in the data, albeit in two distinct subsets. Fitting a GARCH (p, q) model to each data subset yields R -2 values of around 19%; clear evidence that the data do not follow a random walk. The weak-form efficiency hypothesis is therefore rejected.

Suggested Citation

  • David Chappell & Robert Eldridge, 2000. "Evidence of market inefficiency in a war environment," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 489-492.
  • Handle: RePEc:taf:apfiec:v:10:y:2000:i:5:p:489-492
    DOI: 10.1080/096031000416361
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/096031000416361
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/096031000416361?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. 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.
    2. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    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. Gerald Schneider & Vera E. Troeger, 2006. "War and the World Economy," Journal of Conflict Resolution, Peace Science Society (International), vol. 50(5), pages 623-645, October.
    2. Theodore Panagiotidis, 2010. "Market efficiency and the Euro: the case of the Athens stock exchange," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 237-251, July.
    3. Amelie Brune & Thorsten Hens & Marc Rieger & Mei Wang, 2015. "The war puzzle: contradictory effects of international conflicts on stock markets," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(1), pages 1-21, March.
    4. Hudson, Robert & Urquhart, Andrew, 2022. "Naval disasters, world war two and the British stock market," Research in International Business and Finance, Elsevier, vol. 59(C).
    5. Marie-Anne Cam & Vikash Ramiah, 2014. "The influence of systematic risk factors and econometric adjustments in catastrophic event studies," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 171-189, February.

    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. Michail Karoglou, 2009. "Stock Market Efficiency before and after a Financial Liberalisation Reform," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(3), pages 315-340, September.
    2. Amilon, Henrik, 2008. "Estimation of an adaptive stock market model with heterogeneous agents," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 342-362, March.
    3. David Chappel & Joanne Padmore & Julia Pidgeon, 1998. "A note on ERM membership and the efficiency of the London Stock Exchange," Applied Economics Letters, Taylor & Francis Journals, vol. 5(1), pages 19-23.
    4. Bali, Rakesh & Guirguis, Hany, 2007. "Extreme observations and non-normality in ARCH and GARCH," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 332-346.
    5. Francesco Guidi & Rakesh Gupta & Suneel Maheshwari, 2011. "Weak-form Market Efficiency and Calendar Anomalies for Eastern Europe Equity Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 10(3), pages 337-389, December.
    6. Stephen Kawas & Everton Dockery, 2023. "What do we know about the stock markets’ reaction to regulatory announcements regarding financial institutions? Evidence from UK financial institutions," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 31-67, January.
    7. Tim Bollerslev & Robert J. Hodrick, 1992. "Financial Market Efficiency Tests," NBER Working Papers 4108, National Bureau of Economic Research, Inc.
    8. Sung Ik Kim, 2022. "ARMA–GARCH model with fractional generalized hyperbolic innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    9. Sinha, Bhaskar, 2007. "Modeling Stock Market Volatility in Emerging Markets: Evidence from India," MPRA Paper 102455, University Library of Munich, Germany, revised 2009.
    10. Bong-Chan, Kho, 1996. "Time-varying risk premia, volatility, and technical trading rule profits: Evidence from foreign currency futures markets," Journal of Financial Economics, Elsevier, vol. 41(2), pages 249-290, June.
    11. Ritesh Kumar Mishra & Sanjay Sehgal & N.R. Bhanumurthy, 2011. "A search for long‐range dependence and chaotic structure in Indian stock market," Review of Financial Economics, John Wiley & Sons, vol. 20(2), pages 96-104, May.
    12. Margiora, Philippa & Panaretos, John, 2001. "Autoregressive Conditional Heteroskedasticity Models and the Dynamic Structure of the Athens Stock Exchange," MPRA Paper 6358, University Library of Munich, Germany.
    13. Swarn Chatterjee & Amy Hubble, 2016. "Day-Of-The-Week Effect In Us Biotechnology Stocks — Do Policy Changes And Economic Cycles Matter?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-17, June.
    14. Khan, Salman & Batteau, Pierre, 2011. "Should the government directly intervene in stock market during a crisis?," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 350-359.
    15. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    16. Kei Katahira & Yu Chen & Gaku Hashimoto & Hiroshi Okuda, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Papers 1902.02040, arXiv.org.
    17. Gelman, Sergey & Burhop, Carsten, 2008. "Taxation, regulation and the information efficiency of the Berlin stock exchange, 1892–1913," European Review of Economic History, Cambridge University Press, vol. 12(1), pages 39-66, April.
    18. Samet Günay & Yanlin Shi, 2016. "Long-Memory in Volatilities of CDS Spreads: Evidences from the Emerging Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-137, March.
    19. David Chappell & Lindsay Chant, 1998. "A non-linear time series model for the South Korean Won/British pound exchange rate : 1.1.97-9.30.98," Global Economic Review, Taylor & Francis Journals, vol. 27(3), pages 65-75.
    20. Katahira, Kei & Chen, Yu & Hashimoto, Gaku & Okuda, Hiroshi, 2019. "Development of an agent-based speculation game for higher reproducibility of financial stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 503-518.

    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:apfiec:v:10:y:2000:i:5:p:489-492. 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/RAFE20 .

    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.