Czech Stock Market Analysis

Authors

  • Jiří Trešl University of Economics, Prague
  • Dagmar Blatná University of Economics, Prague

DOI:

https://doi.org/10.17713/ajs.v31i2&3.483

Abstract

The analysis of relative returns of selected stocks at Prague Stock Exchange has been performed. As a rule, the kurtosis of the return distribution was greater than that of the standard normal distribution. Second, Box-Jenkins ARIMA models have been employed for return time series modelling. Instead of autoregressive terms of first order, higher terms are also necessary (particularly tenth order). Third, ARCH and GARCH models allowing for conditional heteroskedasticity provide closer approximation of return time series. In most cases, GARCH (1,1) is quite satisfactory.

References

E. Peters. Fractal Market Analysis: Applying Chaos Theory to Investment and Economics. Wiley, New York, 1994.

G. Box and G. Jenkins. Time Series Analysis, Forecasting and Control. Holden Day, San Francisco, 1970.

R. Engle (editor). ARCH (Selected Readings). Oxford Univ. Press, Oxford 1995.

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Published

2016-04-03

Issue

Section

Articles

How to Cite

Czech Stock Market Analysis. (2016). Austrian Journal of Statistics, 31(2&3), 211-220. https://doi.org/10.17713/ajs.v31i2&3.483