Please use this identifier to cite or link to this item: http://hdl.handle.net/2307/4165
Title: Multivariate statistical analysis for portfolio selection
Authors: Pierini, Andrea
metadata.dc.contributor.advisor: Naccarato, Alessia
Keywords: BEKK model
CVAR model
Markowitz portfolio
Simulation
Issue Date: 3-Jun-2014
Publisher: Università degli studi Roma Tre
Abstract: The use of a BEKK (Baba-Engle-Kraft-Kroner) model is proposed to estimate the volatility of a set of financial historical series with a view to the selection of a stock portfolio. An individual element on the diagonal of the volatility matrix is estimated by applying the model to the series of log returns both of the share i to which it refers and of the market index. An extra-diagonal element is instead estimated by using in the model the covariances between the series of log returns of the two shares i and j to which the element of the volatility matrix corresponds. The procedure proposed for the estimation of volatility was applied to the series of monthly stock log returns of 150 shares of major value traded on the Italian market between 1 January 1975 and 31 August 2011 and the Markowitz portfolio is simulated.
URI: http://hdl.handle.net/2307/4165
Access Rights: info:eu-repo/semantics/openAccess
Appears in Collections:Dipartimento di Economia
T - Tesi di dottorato

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