Predicting Long-Term Financial Returns: VAR vs. DSGE Model – A Horse-Race

Details

Serval ID
serval:BIB_8F7B53E72580
Type
Report: a report published by a school or other institution, usually numbered within a series.
Publication sub-type
Working paper: Working papers contain results presented by the author. Working papers aim to stimulate discussions between scientists with interested parties, they can also be the basis to publish articles in specialized journals
Collection
Publications
Institution
Title
Predicting Long-Term Financial Returns: VAR vs. DSGE Model – A Horse-Race
Author(s)
Jondeau E., Rockinger M.
Institution details
Swiss Finance Institute
Address
Switzerlanb
Issued date
2017
Language
english
Number of pages
53
Abstract
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
Create date
19/10/2017 11:00
Last modification date
21/08/2019 6:12
Usage data