No Predictable Components in G7 Stock Returns
AbstractWe search for time-varying predictable components in monthly excess stock index returns over the risk free rates in the G7 countries. The predictable components provide an estimate of the expected excess returns. Our unobserved components model improves on Conrad and Kaul (1988) by taking into account fat tails widely documented in returns data. Statistical hypotheses tests fail to reveal any significant time-varying predictable components in excess returns for any of the countries, except Canada. Our results are in sharp contrast to Conrad and Kaul (1988), who do isolate time-varying expected returns in weekly sizeweighted portfolio returns using the same methodology but in a Gaussian setting.
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Bibliographic InfoPaper provided by Florida International University, Department of Economics in its series Working Papers with number 0416.
Length: 26 pages
Date of creation: Oct 2004
Date of revision:
stock return predictability; unobserved components; fat tails; stable distributions;
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
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-08-13 (All new papers)
- NEP-FIN-2005-08-13 (Finance)
- NEP-FMK-2005-08-13 (Financial Markets)
- NEP-FOR-2005-08-13 (Forecasting)
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