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Multivariate statistical analysis for portfolio selection of italian stock market

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  • Alessia Naccarato
  • Andrea Pierini

Abstract

The use of bivariate cointegrated vector autoregressive models and Baba-Engle-Kraft-Kroner models ( Engle et al. 1995), is proposed for the selection of a stock portfolio (Markowitz type portfolio) based on estimates of average returns on shares and the volatility of share prices. The model put forward envisages the use of explicative variables. This article employs the intrinsic value of shares as a variable, which will make it possible to take the theory of value into account. The model put forward is applied to a series of data regarding the prices of 150 shares traded on the Italian stock market.

Suggested Citation

  • Alessia Naccarato & Andrea Pierini, 2012. "Multivariate statistical analysis for portfolio selection of italian stock market," Departmental Working Papers of Economics - University 'Roma Tre' 0166, Department of Economics - University Roma Tre.
  • Handle: RePEc:rtr:wpaper:0166
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    References listed on IDEAS

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    Keywords

    Markowitz Portfolio; Cointegrated Vector Autoregressive Models; BEKK Model;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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