Article (Scientific journals)
The predictive Power of Fund Ratings with a novel approach using uncertainty measures to analyzing risk
Terraza, Virginie; Toque, Carole
2009In Decisions in Economics and Finance, 32 (2), p. 149-160
Peer reviewed
 

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Keywords :
fund ratings; factor analysis; granger causality
Abstract :
[en] Using two approaches to panel data, Granger causality analysis with semi-asymptotic tests, and a structural approach based on entropies measured on sequences of multi-period ratings and returns, we specify the relationship between a fund’s performance and both Morningstar and Europerformance ratings. We conclude on the Europerformance agency forecasting ability for the Luxembourg funds, and the Morningstar agency for the French funds. Indeed, we find two groups of funds depending on their domiciliation and appropriated rating. The results of this paper have implications for the management of fund portfolios, and the structural approach, more robust to our data, must be a first process for forecast models on the basis of similar funds, minor uncertainty or risk measure, and appropriated rating.
Disciplines :
Finance
Identifiers :
UNILU:UL-ARTICLE-2012-266
Author, co-author :
Terraza, Virginie ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
Toque, Carole ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
Language :
English
Title :
The predictive Power of Fund Ratings with a novel approach using uncertainty measures to analyzing risk
Publication date :
2009
Journal title :
Decisions in Economics and Finance
ISSN :
1593-8883
Publisher :
Springer Science & Business Media B.V.
Volume :
32
Issue :
2
Pages :
149-160
Peer reviewed :
Peer reviewed
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since 27 November 2013

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