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A linear test for t...
A linear test for the global minimum variance portfolio for small sample and singular covariance
Publisher, publication year, extent ...
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2015
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16 s.
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:lup.lub.lu.se:dd246158-d68c-4498-a043-37f4739f3d4c
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https://lup.lub.lu.se/record/8082777URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ovr swepub-publicationtype
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Subject category:vet swepub-contenttype
Series
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Working Papers in Statistics
Notes
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Bodnar and Schmid (2008) derived the distribution of the global minimum variance portfolio weights and obtained the distribution of the test statistics for the general linear hypothesis. Their results are obtained in the case when the number of observations n is bigger or equal than the size of portfolio k. In the present paper, we extend the result by analyzing the portfolio weights in a small sample case of n < k, with the singular covariance matrix. The results are illustrated using actual stock returns. A discussion of practical relevance of the model is presented.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Mazur, StepanLund University,Lunds universitet,Statistiska institutionen,Ekonomihögskolan,Department of Statistics,Lund University School of Economics and Management, LUSEM(Swepub:lu)stat-smu
(author)
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Podgorski, KrzysztofLund University,Lunds universitet,Statistiska institutionen,Ekonomihögskolan,Department of Statistics,Lund University School of Economics and Management, LUSEM(Swepub:lu)mats-ksp
(author)
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Statistiska institutionenEkonomihögskolan
(creator_code:org_t)
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