Higher order moments of the estimated tangency portfolio weights. Issue 3 (17th February 2021)

• Record Type: Journal Article
• Authors: Javed, Farrukh; Mazur, Stepan; Ngailo, Edward
• Is Part Of: Journal of applied statistics. Volume 48:Issue 3(2021)
• Page Start: 517
• Page End: 535
• Publication Date: 2021-02-17
• Subjects: Tangency portfolio -- higher order moments -- Wishart distribution; Statistics -- Periodicals; 519.5
• DOI: 10.1080/02664763.2020.1736523
• Languages: English
• ISSNs: 0266-4763

Abstract

Abstract : In this paper, we consider the estimated weights of the tangency portfolio. We derive analytical expressions for the higher order non-central and central moments of these weights when the returns are assumed to be independently and multivariate normally distributed. Moreover, the expressions for mean, variance, skewness and kurtosis of the estimated weights are obtained in closed forms. Later, we complement our results with a simulation study where data from the multivariate normal and t -distributions are simulated, and the first four moments of estimated weights are computed by using the Monte Carlo experiment. It is noteworthy to mention that the distributional assumption of returns is found to be important, especially for the first two moments. Finally, through an empirical illustration utilizing returns of four financial indices listed in NASDAQ stock exchange, we observe the presence of time dynamics in higher moments.