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Multivariate GARCH models and Black-Litterman approach for tracking error constrained portfolios: an empirical analysis

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  • Giulio PALOMBA

    ([n.a.])

Abstract

In a typical tactical asset allocation set up managers generally make their investment decisions by inserting private information in an optimisation mechanism used to beat a benchmark portfolio; in this context the sole approach a' la Markowitz (1959) does not use all the available information about expected excess return and especially it does not take two main factors into account: first, asset returns often show changes in volatility, and second, the manager's private information plays no role in the optimisation process. This paper provides an empirical work for large scale tactical asset allocation strategy in which a multivariate GARCH estimation is used in portfolio optimisation, given a tracking error constraint (Jorion, 2003). Moreover, the use of Black and Litterman (1991, 1992) approach allows for the possibility to tactically manage the selected portfolio through a very short time, combining informations taken from the time varying volatility model with some personal "view" about asset returns.

Suggested Citation

  • Giulio PALOMBA, 2006. "Multivariate GARCH models and Black-Litterman approach for tracking error constrained portfolios: an empirical analysis," Working Papers 267, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    • Handle: RePEc:anc:wpaper:267
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    Cited by:

    1. Anna Czapkiewicz & Artur Machno, 2013. "Empirical Verification of World’s Regions Profitability in Dynamic International Investment Strategy," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 145-162.
    2. Luca Riccetti, 2012. "Using tracking error volatility to check active management and fee level of investment funds," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 14(3), pages 139-158.
    3. Harris, Richard D.F. & Stoja, Evarist & Tan, Linzhi, 2017. "The dynamic Black–Litterman approach to asset allocation," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1085-1096.
    4. Fabio FIORILLO & Agnese SACCHI, 2010. "I Want to Free-ride. An Opportunistic View on Decentralization Versus Centralization Problem," Working Papers 346, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Ugo FRATESI, 2010. "The National and International Effects;of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics," Working Papers 344, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Luca RICCETTI, 2010. "Minimum Tracking Error Volatility," Working Papers 340, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Palomba, Giulio & Riccetti, Luca, 2012. "Portfolio frontiers with restrictions to tracking error volatility and value at risk," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2604-2615.
    8. Andi Duqi & Leonardo Franci & Giuseppe Torluccio, 2014. "The Black-Litterman model: the definition of views based on volatility forecasts," Applied Financial Economics, Taylor & Francis Journals, vol. 24(19), pages 1285-1296, October.
    9. Sahamkhadam, Maziar & Stephan, Andreas & Östermark, Ralf, 2022. "Copula-based Black–Litterman portfolio optimization," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1055-1070.

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    More about this item

    Keywords

    Black and Litterman approach; multivariate GARCH models; tactical asset allocation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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