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In-sample and out-of-sample properties of international stock return dynamics conditional on equilibrium pricing factors


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  • Helmut Herwartz
  • Leonardo Morales-Arias
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    We conduct a comprehensive analysis of the in-sample and out-of-sample properties of stock return dynamics in 14 developed and 12 emerging markets. We start by formulating a theoretically founded asset-pricing model that decomposes log stock returns into equilibrium pricing factors (accounting and discount factors) and short-run (vector) autoregressive dynamics. Based on this model, we design both in-sample and out-of-sample panel modeling techniques to investigate international stock market returns at short and long horizons. Our findings show that (i) there is evidence of in-sample signaling from the equilibrium relations but this feature does not appear to translate into out-of-sample forecasting, (ii) a rolling window forecasting scheme can better approximate the distributional features of returns in comparison with a recursive method, (iii) forecasting with single-lagged equilibrium relationships does not play a uniformly significant role in anticipating returns, (iv) forecasting with a full model containing all lagged equilibrium relations can outperform both a random walk model and a VAR(1) model and (v) linear combinations of alternative forecasts reduce ex-ante uncertainty.

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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal The European Journal of Finance.

    Volume (Year): 15 (2009)
    Issue (Month): 1 ()
    Pages: 1-28

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    Handle: RePEc:taf:eurjfi:v:15:y:2009:i:1:p:1-28

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    Related research

    Keywords: international asset pricing; dynamic heterogenous panels; out-of-sample forecasting; forecast combination;


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    Cited by:
    1. Rengel, Malte & Herwartz, Helmut & Xu, Fang, 2013. "Persistence in the price-to-dividend ratio and its macroeconomic fundamentals," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79860, Verein für Socialpolitik / German Economic Association.
    2. Helmut Herwartz & Konstantin A. Kholodilin, 2014. "In‐Sample and Out‐of‐Sample Prediction of stock Market Bubbles: Cross‐Sectional Evidence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 15-31, 01.


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