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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

A test on mean-variance efficiency of the tangency portfolio in high-dimensional setting


Author: Stanislas Muhinyuza
Journal: Theor. Probability and Math. Statist. 103 (2020), 103-119
MSC (2020): Primary 54C40, 14E20; Secondary 46E25, 20C20
DOI: https://doi.org/10.1090/tpms/1136
Published electronically: June 16, 2021
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Abstract: In this paper we derive the asymptotic distribution of the test of the efficiency of the tangency portfolio in high-dimensional settings, namely when both the portfolio dimension and the sample size grow to infinity. Moreover, we propose a new test based on the estimator for the slope parameter of the efficient frontier in the mean-variance space when there is a possibility in investing into the riskless asset, and derive the asymptotic distribution of that test statistic under both the null and alternative hypotheses. Additionally, we study the finite sample performance of the derived theoretical results via simulations.


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Additional Information

Stanislas Muhinyuza
Affiliation: Department of Mathematics, Stockholm University, Roslagsvägen 101, SE-10691 Stockholm, Sweden; and Department of Mathematics, College of Science and technology, University of Rwanda, P.O. Box 3900, Kigali-Rwanda
Email: stanislas.muhinyuza@math.su.se

Keywords: Tangency portfolio, mean-variance portfolio, high-dimensional settings
Received by editor(s): September 30, 2019
Published electronically: June 16, 2021
Additional Notes: The author appreciates the financial support of SIDA via the project 1683030302
Article copyright: © Copyright 2020 Taras Shevchenko National University of Kyiv