Krzysztof Podgórski
Prefekt Statistiska institutionen, Professor
Tangency portfolio weights for singular covariance matrix in small and large dimensions : Estimation and test theory
Författare
Summary, in English
In this paper we derive the finite-sample distribution of the estimated weights of the tangency portfolio when both the population and the sample covariance matrices are singular. These results are used in the derivation of a statistical test on the weights of the tangency portfolio where the distribution of the test statistic is obtained under both the null and alternative hypotheses. Moreover, we establish the high-dimensional asymptotic distribution of the estimated weights of the tangency portfolio when both the portfolio dimension and the sample size increase to infinity. The theoretical findings are implemented in an empirical application dealing with the returns on the stocks included into the S&P 500 index.
Avdelning/ar
- Statistiska institutionen
Publiceringsår
2019
Språk
Engelska
Sidor
40-57
Publikation/Tidskrift/Serie
Journal of Statistical Planning and Inference
Volym
201
Dokumenttyp
Artikel i tidskrift
Förlag
North-Holland
Ämne
- Probability Theory and Statistics
Nyckelord
- High-dimensional asymptotics
- Hypothesis testing
- Singular covariance matrix
- Singular Wishart distribution
- Tangency portfolio
Aktiv
Published
ISBN/ISSN/Övrigt
- ISSN: 0378-3758