Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/50679
Authors: 
Guidolin, Massimo
Hyde, Stuart
Year of Publication: 
2010
Series/Report no.: 
Manchester Business School working paper 608
Abstract: 
We examine whether simple VARs can produce empirical portfolio rules similar to those obtained under a range of multivariate Markov switching models, by studying the effects of expanding both the order of the VAR and the number/selection of predictor variables included. In a typical stock-bond strategic asset allocation problem on US data, we compute the out-of-sample certainty equivalent returns for a wide range of VARs and compare these measures of performance with those typical of non-linear models that account for bull-bear dynamics and characterize the differences in the implied hedging demands for a long-horizon investor with constant relative risk aversion preferences. In a horse race in which models are not considered in their individuality but instead as an overall class, we find that a power utility investor with a constant coefficient of relative risk aversion of 5 and 5-year horizon, would be ready to pay as much as 8.1% in real terms to be allowed to select models from the MS class, while analogous calculation for the whole class of expanding window VAR leads to a disappointing 0.3% per annum. We conclude that most (if not all) VARs cannot produce portfolio rules, hedging demands, or out-of-sample performances that approximate those obtained from equally simple non-linear frameworks.
Subjects: 
predictability
strategic asset allocation
Markov switching
vector autoregressive models
out-of-sample performance
JEL: 
G11
C53
Document Type: 
Working Paper

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