Estimating the Dynamics of Weak Efficiency on the Prague Stock Exchange Using the Kalman Filter
AbstractThe paper builds on the martingale representation of the market efficiency hypothesis and, with the use of an E-GARCH model of the volatility of the PX and PX-GLOBAL daily returns, a state-space model is formulated. Using the Kalman filter, the time-varying dependency of the daily returns on their lagged values is estimated. The estimation of this parameter shows how quickly the Prague Stock Exchange, represented by its PX index and PX-GLOBAL index, has gradually moved toward the condition of weak efficiency.
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Bibliographic InfoArticle provided by Charles University Prague, Faculty of Social Sciences in its journal Finance a uver - Czech Journal of Economics and Finance.
Volume (Year): 58 (2008)
Issue (Month): 05-06 (August)
GARCH; Kalman filter; martingale; weak-efficiency;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
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