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The Value of the Firm in Dependence on Technological Shocks – the Czech Republic Case

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  • Petr Makovsky

    (Czech Technical University in Prague, School of Business and Interdisciplinary Studies)

Abstract

The article presents an innovative interpretation of the relationship between firm value and technological shocks. The motivation comes from the theory of technological shocks and their effects on the economy. We tried to confirm the hypothesis of neoclassical technology of the firm regarding the relationship between firm value and investment amount (interconnected with the interest rate). The relationship was empirically tested using a sample of data for the last 16 years (quarterly data). The Solow residuals represent the technological shocks and the PX index is an approximation of the firms´ value. The model explaining the rate of growth of the PX index in dependence on the Solow residuals is confirmed, but the linear coefficient is negative. However, it is close to zero value, which means that there is no dependence between the observed variables. The falsification of the neoclassical firm approach is argued using the Czech economy as an open small economy with high interdependence on the financial sector. Due to the presented solution, we secondly tried to explain the evolution in the firms´ value using autoregressive methods. We ran GARCH tests in order to gain a proper model of the PX index’s rate of growth behaviour. The most appropriate model was the GARCH (2,1) model. Moreover, we made a forecast of the volatility of the PX index. The theoretical values of the forecast fit the empirical data we observed. Furthermore, we discuss the features of the model on two levels: the whole time horizon of observations (quarterly horizon 1999-2015, 85 observations) and the post-crisis horizon (quarterly 2010-2015, 25 observations).

Suggested Citation

  • Petr Makovsky, 2017. "The Value of the Firm in Dependence on Technological Shocks – the Czech Republic Case," ACTA VSFS, University of Finance and Administration, vol. 11(1), pages 45-60.
    • Handle: RePEc:prf:journl:v:11:y:2017:i:1:p:45-60
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    References listed on IDEAS

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    1. Nelson, Daniel B., 1990. "ARCH models as diffusion approximations," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 7-38.
    2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    3. Solow, Robert M, 1988. "Growth Theory and After," American Economic Review, American Economic Association, vol. 78(3), pages 307-317, June.
    4. Jiří Mihola & Petr Wawrosz, 2014. "Alternativní metoda měření extenzivních a intenzivních faktorů změny HDP a její aplikace na vývoj HDP USA a Číny [An Alternative Method How to Measure Impact of the Intensive and Extensive Factors ," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 583-604.
    5. Luboš Pástor & Pietro Veronesi, 2009. "Technological Revolutions and Stock Prices," American Economic Review, American Economic Association, vol. 99(4), pages 1451-1483, September.
    6. Lucas, Robert E, Jr, 1975. "An Equilibrium Model of the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 83(6), pages 1113-1144, December.
    7. Michael Wickens, 2012. "Macroeconomic Theory: A Dynamic General Equilibrium Approach Second Edition," Economics Books, Princeton University Press, edition 1, number 9743.
    8. Rama Cont, 2007. "Volatility Clustering in Financial Markets: Empirical Facts and Agent-Based Models," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 289-309, Springer.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    technological shocks; GARCH; firm value; volatility; time series analysis; variance;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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