Abstract
It has been suggested that stock exchanges may be tested for market efficiency by using tests for assessing random number generators. This paper uses such a test to assess the efficiency of small, mid and large cap indices on the Johannesburg Stock Exchange, while making adjustments for thin trading which occurs during the sample period. The efficiency of these indices is examined using individual share level data as well as index level data over a stable period and a period containing the 2008 financial crisis. This study finds evidence suggesting that small cap stocks exhibit a high degree of non-randomness in price movements. Some inefficiencies also appear to be present in mid and large cap stocks, however to a much lesser extent, with large cap stocks exhibiting higher levels of efficiency. Many of the stocks investigated appear to exhibit lower levels of efficiency during the crisis period. This may be a result of increased irrationality during periods of uncertainty.
This is a preview of subscription content, access via your institution.
Notes
See Roux and Gilbertson (1978) for more.
The total number of shares analysed by Kruger et al. (2012) was 109. We analysed 111 shares in this paper. It is not apparently obvious if the set of shares studied by Kruger, Toerien and MacDonald is a proper subset of the set of shares studied in this paper.
The number of shares removed from the sample are as follows: 32 Small, 17 Mid, and 6 Large Cap shares.
References
Affleck-Graves, J. P., & Money, A. H. (1975). A note on the random walk model and South African share prices. South African Journal of Economics, 43(3), 382–388.
Atchison, M. D., Butler, K. C., & Simonds, R. R. (1987). Nonsynchronus security trading and market index autocorrelation. Journal of Finance, 42(1), 111–118.
Bodie, Z., Kane, A., & Marcus, A. (2010). Essentials of investments (8th ed.). New York: McGraw-Hill.
Bonga-Bonga, L. (2012). The evolving efficiency of the South African stock exchange. International Business and Economics Research Journal, 11(9), 997–1002.
Doyle, J., & Chen, C. (2013). Patterns in stock market movements tested as random number generators. European Journal of Operational Research, 227(1), 122–132.
Fama, E. F. (1965a). Random walks in stock market prices. Financial Analysts Journal, 21(5), 55–59.
Fama, E. F. (1965b). The behaviour of stock-market prices. The Journal of Business, 38(1), 34–105.
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383–417.
Good, I. J. (1953). The serial test for sampling numbers and other tests for randomness. Mathematical Proceedings of the Cambridge Philosophical Society, 49(2), 276–284.
Good, I. J., & Gover, T. N. (1967). The generalized serial test and the binary expansion of \(\surd \)2. Journal of the Royal Statistical Society Series A, 130(1), 102–107.
Hadassin, I. (1976). An investigation into the behaviour of earnings and share prices of South African listed companies. Investment Analysts Journal, 8(1), 13–24.
Jefferis, K., & Smith, G. (2004). Capitalisation and weak-form efficiency in the JSE securities exchange. South African Journal of Economics, 72(4), 684–707.
Jefferis, K., & Smith, G. (2005). The changing efficiency of African stock markets. South African Journal of Economics, 73(1), 54–67.
Johannesburg Stock Exchange. (2013). Index reviews—Committee papers: Quarterly review, JSE. http://www.jse.co.za/Products/FTSE-JSE/Indexreviews.aspx
Kemp, A. G., & Reid, G. C. (1971). The random walk hypothesis and the recent behaviour of equity prices in Britain. Economica, 38(149), 28–51.
Kohlbrenner, P. W. (2003). The design and analysis of a true random number generator in a field programmable gate array. Masters Thesis. George Mason University.
Kruger, R., Toerien, F., & MacDonald, I. (2012). Nonlinear serial dependence in share returns on the Johannesburg Stock Exchange. The African Finance Journal, 14(2), 64–84.
Lim, K.-P. (2007). Ranking market efficiency for stock markets: A nonlinear perspective. Physica A, 376(1), 445–454.
Malkiel, B. G. (2003). The efficient market hypothesis and its critics. The Journal of Economic Perspectives, 17(1), 59–82.
Mangani, R. (2007). Distributional properties of JSE prices and returns. Investment Analysts Journal, 66(1), 57–72.
Marsaglia, G. (1985). A current view of random number generators. In Computer science and statistics: Proceedings of the 16th symposium on the interface, March 1984 (pp. 151–158). Atlanta: Elsevier.
Marsaglia, G. (2005). Monkeying with the goodness-of-fit test. Journal of Statistical Software, 14(13), 1–4.
Mlambo, C., Biekpe, N., & Smit, E. vd M. (2003). Testing the random walk hypothesis on thinly-traded markets: The case of four African stock markets. The African Finance Journal, 5(1), 16–35.
Morris, Q., Van Vuuren, G., & Styger, P. (2009). Further evidence of long memory in the South African stock market. South African Journal of Economics, 77(1), 81–101.
Mulvey, J. M. (1994). Introduction to the special issue on finance. Interfaces, 24(3), 1–2.
Roux, F. J. P., & Gilberston, B. P. (1976). The behaviour of shares prices on the Johannesburg Stock Exchange. (Report; no. F76/67). South Africa: Johannesburg Consolidated Investment Co., Ltd.
Roux, F. J. P., & Gilbertson, B. P. (1978). The behaviour of share prices on the Johannesburg Stock Exchange. Journal of Business Finance and Accounting, 5(2), 223–232.
Smith, G., Jefferis, K., & Ryoo, H.-J. (2002). African stock markets: Multiple variance ratio tests of random walks. Applied Financial Economics, 12(7), 475–484.
Strebel, P. J. (1977). The limited efficiency of the Johannesburg Stock Exchange. The Investment Analysts Journal, 10(1), 15–20.
Xu, X., & Tsang, W. (2007). An empirical study on the power of the overlapping serial test. In Proceedings of the Asia simulation conference 2007 (pp. 375–383), Seoul.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
See Tables 5, 6, 7, 8, 9, 10 and 11.
Rights and permissions
About this article
Cite this article
Noakes, M.A., Rajaratnam, K. Testing market efficiency on the Johannesburg Stock Exchange using the overlapping serial test. Ann Oper Res 243, 273–300 (2016). https://doi.org/10.1007/s10479-014-1751-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-014-1751-y