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Determinants of Country Beta Risk in Poland

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  • Piotr Wdowinski

Abstract

In the paper we analyze determinants of the capital market beta risk in Poland in the monthly period 1996-2002. The beta risk is measured as a time-varying parameter estimated in a regression of the Warsaw stock indexes (WIG and WIG20 separately) on major foreign stock market indexes (DJIA, NASDAQ, DAX and FTSE). The individual monthly beta parameters time series are computed as structural regression parameters estimated for daily data in monthly sub-periods in regressions for WIG and WIG20 indexes on individual foreign stock market indexes. The beta risk is an average of monthly individual beta parameters. We put forward a hypothesis that the estimated beta risk depends on monetary and real variables expressing the economic performance of the Polish economy. Hence, we build monetary and real factors models. As explanatory variables of risk, we examine: income, productivity, trade balance, budget deficit, interest rate and the zloty exchange rate. The risk factors are expressed as differentials relative to the world economy for which stands the U.S. economy. According to Fair and Shiller (1990), we test for relative one-period-ahead predictive performance of monetary and real factors models of capital market risk in Poland in the period 1999-2002. We find that monetary variables as exchange rate and interest rate have relatively more power than real variables in explaining the beta market risk in Poland.

Suggested Citation

  • Piotr Wdowinski, 2004. "Determinants of Country Beta Risk in Poland," CESifo Working Paper Series 1120, CESifo.
    • Handle: RePEc:ces:ceswps:_1120
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    Cited by:

    1. Piotr Wdowiński & Aneta Zglińska-Pietrzak, 2005. "The Warsaw Stock Exchange Index WIG: Modeling and Forecasting," FindEcon Chapters: Forecasting Financial Markets and Economic Decision-Making, in: Władysław Milo & Piotr Wdowiński (ed.), Acta Universitatis Lodziensis. Folia Oeconomica nr 192/2005 - Issues in Modeling, Forecasting and Decision-Making in Financial Markets, edition 1, volume 127, chapter 7, pages 115-127, University of Lodz.
    2. Marshall, Andrew & Maulana, Tubagus & Tang, Leilei, 2009. "The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 250-259, December.
    3. Piotr Wdowinski, 2005. "Financial Markets and Economic Growth in Poland: Simulations with an Econometric Model," CESifo Working Paper Series 1557, CESifo.

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    More about this item

    Keywords

    country beta risk; capital market; risk modelling; econometric model; forecasting; Poland;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • F30 - International Economics - - International Finance - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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