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Does the Macroeconomy Predict UK Asset Returns in a Nonlinear Fashion? Comprehensive Out-of-Sample Evidence

Guidolin, M; Hyde, S.; McMillan, D.; Ono, S

Oxford Bulletin of Economics and Statistics. 2014;76:510-535.

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Abstract

We perform a comprehensive examination of the recursive, comparative predictive performance of linear and nonlinear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR) and smooth transition autoregressive (STR) regime switching models and a range of linear specifications including models with GARCH type specifications. Results demonstrate UK asset returns require nonlinear dynamics to be modelled with strong evidence in favour of Markov switching frameworks. Our results appear robust to the choice of sample period, changes in loss functions and to the methodology employed to test for equal predictive accuracy. The key findings extend to a similar sample of US data.

Bibliographic metadata

Type of resource:
Content type:
Publication status:
Published
Publication type:
Publication form:
Published date:
Abbreviated journal title:
ISSN:
Volume:
76
Start page:
510
End page:
535
Total:
25
Pagination:
510-535
Digital Object Identifier:
10.1111/obes.12035
Attached files embargo period:
Immediate release
Attached files release date:
15th April, 2014
Access state:
Active

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:223435
Created by:
Hyde, Stuart
Created:
15th April, 2014, 15:19:55
Last modified by:
Hyde, Stuart
Last modified:
11th December, 2015, 08:02:02

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