Predicting Long-Term Financial Returns: VAR vs. DSGE Model - A Horse-Race
53 Pages Posted: 3 Mar 2016 Last revised: 20 Jan 2017
Date Written: January 18, 2017
This paper considers an institutional investor who is implementing a long-term portfolio allocation strategy using forecasts of financial returns. We compare the performance of two competing macro-finance models, an unrestricted Vector AutoRegression (VAR) and a fully structural Dynamic Stochastic General Equilibrium (DSGE) model, at forecasting financial returns. We show that the DSGE model outperforms the unrestricted VAR at forecasting financial returns in the long term and generates substantially higher Sharpe ratios for mean-variance allocations. Even if it contains fewer unknown parameters, the DSGE model benefits from economically grounded restrictions that help anchor financial returns in the long term.
Keywords: VAR, DSGE model, Financial return forecasting, Long-term allocation
JEL Classification: C11, E44, G11
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