IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v7y1982i2p159-178.html
   My bibliography  Save this article

The Distribution of Stock Market Returns: Tests of Normality

Author

Listed:
  • Michael D. Stokie

    (Deakin University, Geelong. Comments and suggestions by R. Ball, R. Officer, P. Praetz and the referee are gratefully acknowledged. I am indebted to P. Brown for permission to use his data file on Industrial securities 1958–1973.)

Abstract

The adequacy of the normal distribution as a representation for security returns is reconsidered. Findings of non-normality in earlier tests are attributed to a high incidence of zero returns and parameter non-stationarity. Monthly log-returns of leading Australian securities over five-year periods are compatible with the normal distribution.

Suggested Citation

  • Michael D. Stokie, 1982. "The Distribution of Stock Market Returns: Tests of Normality," Australian Journal of Management, Australian School of Business, vol. 7(2), pages 159-178, December.
    • Handle: RePEc:sae:ausman:v:7:y:1982:i:2:p:159-178
    DOI: 10.1177/031289628200700205
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/031289628200700205
    Download Restriction: no
    File URL: https://libkey.io/10.1177/031289628200700205?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. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, 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. Xin Ling, 2017. "Normality of stock returns with event time clocks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57, pages 277-298, April.

    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. Cornelis A. Los, 2004. "Nonparametric Efficiency Testing of Asian Stock Markets Using Weekly Data," Finance 0409033, University Library of Munich, Germany.
    2. Michelle B Graczyk & Sílvio M Duarte Queirós, 2017. "Intraday seasonalities and nonstationarity of trading volume in financial markets: Collective features," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    3. Zou, Yongjie & Li, Honggang, 2014. "Time spans between price maxima and price minima in stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 303-309.
    4. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.
    5. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    6. Markus Haas & Stefan Mittnik & Marc Paolella, 2006. "Modelling and predicting market risk with Laplace-Gaussian mixture distributions," Applied Financial Economics, Taylor & Francis Journals, vol. 16(15), pages 1145-1162.
    7. Wen-Ling Lin & Takatoshi Ito, 1994. "Price Volatility and Volume Spillovers between the Tokyo and New York Stock Markets," NBER Chapters, in: The Internationalization of Equity Markets, pages 309-343, National Bureau of Economic Research, Inc.
    8. Pyun, Chong Soo & Lee, Sa Young & Nam, Kiseok, 2000. "Volatility and information flows in emerging equity market: A case of the Korean Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 9(4), pages 405-420.
    9. Hutson, Elaine & Kearney, Colm & Lynch, Margaret, 2008. "Volume and skewness in international equity markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1255-1268, July.
    10. Torben G. Andersen & Oleg Bondarenko, 2013. "Assessing Measures of Order Flow Toxicity via Perfect Trade Classification," CREATES Research Papers 2013-43, Department of Economics and Business Economics, Aarhus University.
    11. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    12. Tazhikul Mashirova & Karlygash Tastanbekova & Murat Nurgabylov & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023. "Analysis of the Relationship between the Highest Price and the Trading Volume of the Energy Company Shares in Kazakhstan with Frequency Domain Causality Method," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 22-27, July.
    13. Ben-David, Shaul & Brookshire, David S. & Burness, Stuart & McKee, Michael & Schmidt, Christian, 1999. "Heterogeneity, Irreversible Production Choices, and Efficiency in Emission Permit Markets," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 176-194, September.
    14. Loredana Ureche-Rangau & Quiterie de Rorthays, 2009. "More on the volatility-trading volume relationship in emerging markets: The Chinese stock market," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 779-799.
    15. Mark Grinblatt & Matti Keloharju, 2000. "What Makes Investors Trade?," Yale School of Management Working Papers ysm146, Yale School of Management, revised 01 Nov 2001.
    16. Avouyi-Dovi, S. & Jondeau, E. & Lai Tong, C., 1997. "Effets “volume”, volatilité et transmissions internationales sur les marchés boursiers dans le G5," Working papers 42, Banque de France.
    17. Holmes, Phil & Rougier, Jonathan, 2005. "Trading volume and contract rollover in futures contracts," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 317-338, March.
    18. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    19. Vasilakis, Chrysovalantis & Samitas, Aristeidis, 2009. "Liquidity, volume and dividend yields in stock return data: Evidence from London Stock Exchange," MPRA Paper 30078, University Library of Munich, Germany.
    20. Álvaro Cartea & Thilo Meyer-Brandis, 2010. "How Duration Between Trades of Underlying Securities Affects Option Prices," Review of Finance, European Finance Association, vol. 14(4), pages 749-785.

    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:sae:ausman:v:7:y:1982:i:2:p:159-178. 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: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.