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Modelling Emerging Financial Markets and their Approach to Market Efficiency

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  • Stephen Hall
  • Anna Zelweska-Mitura

    (Imperial College)

Abstract

Eastern Europe has been undergoing rapid structural change over the last 10 years and one of the most interesting and dramatic of these changes has involved the foundation of a number of new financial markets and the creation of a system of private ownership for industry almost from scratch. Analysing this data poses a number of new and interesting problems; There is often thin trading so that a share price may be unchanged for weeks as no trades occur and then it may rapidly change to a quite different value as a trade occurs. The movement in share prices is often also truncated artificially by the market regulators so that movements greater than 10-15% may be stopped on any one day. Finally in the early periods of trading market participants may be very ill informed as to both the particular shares being traded and the general process of operating a market. So conventional finance models may prove a very poor approximation to the behaviour of these markets as those models are typically founded on the twin assumptions of rational expectations and market efficiency. This paper will address these problems, a Kalman filter process will be proposed for filtering a continuos series of trade prices from the observed thin data. This will then be extended to allow for the truncation problem. The filtered series will then be used to build time series models of market behaviour which mix GARCH-M behaviour with time varying parameters to mimic the process of learning which takes place as the infant market becomes increasingly efficient and approaches the behaviour of standard western markets.

Suggested Citation

  • Stephen Hall & Anna Zelweska-Mitura, "undated". "Modelling Emerging Financial Markets and their Approach to Market Efficiency," Computing in Economics and Finance 1996 _066, Society for Computational Economics.
    • Handle: RePEc:sce:scecf6:_066
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    References listed on IDEAS

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    1. Baillie, R.T., 1988. "Econometric Tests Of Rationality And Market Efficiency," Papers 8805, Michigan State - Econometrics and Economic Theory.
    2. Backus, David K & Gregory, Allan W, 1993. "Theoretical Relations between Risk Premiums and Conditional Variances," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 177-185, April.
    3. 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.
    4. Damodaran, Aswath, 1993. "A Simple Measure of Price Adjustment Coefficients," Journal of Finance, American Finance Association, vol. 48(1), pages 387-400, March.
    5. May, Don O., 1992. "A reexamination of market returns, discount rate changes, and market efficiency," Journal of Macroeconomics, Elsevier, vol. 14(3), pages 545-553.
    6. Butler, Kirt C. & Malaikah, S. J., 1992. "Efficiency and inefficiency in thinly traded stock markets: Kuwait and Saudi Arabia," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 197-210, February.
    7. Chao-Hsi Huang & Louis H. Ederington, 1993. "Variance Bound Tests Of Bond Market Efficiency," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(2), pages 89-106, June.
    8. Randall Holcombe & P. Hill & Randy Simmons, 1989. "Reviews," Public Choice, Springer, vol. 60(2), pages 193-199, February.
    9. Engel, Charles M & Rodrigues, Anthony P, 1993. "Tests of Mean-Variance Efficiency of International Equity Markets," Oxford Economic Papers, Oxford University Press, vol. 45(3), pages 403-421, July.
    10. Dwyer, Gerald Jr. & Wallace, Myles S., 1992. "Cointegration and market efficiency," Journal of International Money and Finance, Elsevier, vol. 11(4), pages 318-327, August.
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