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Reconciling TEV and VaR in Active Portfolio Management: A New Frontier

Author

Listed:
  • Riccardo Lucchetti

    (Dipartimento di Scienze Economiche e Sociali - Universita' Politecnica delle Marche)

  • Mihaela Nicolau

    (Department of Finance and Accounting, Danubius University, Romania)

  • Giulio Palomba

    (Dipartimento di Scienze Economiche e Sociali - Universita' Politecnica delle Marche)

  • Luca Riccetti

    (Dipartimento di Economia e Diritto, Universita' di Macerata, Macerata, Italy)

Abstract

This article investigates the risk-return relationship of managed portfolios when two risk indicators, the Tracking Error Volatility (TEV) and the Value-at-Risk (VaR), are both constrained not to exceed pre-set maximum values. While in some cases these constraints may not be mutually compatible, it is often possible to find portfolios that satisfy both constraints. In this paper, we analyze the problem of choosing among these. Focusing on the trade-off between the joint restrictions that can be imposed on both risk indicators, we de ne the Risk Balancing Frontier (RBF), a new portfolio boundary in the traditional absolute risk-total return space, that contains all the portfolios characterized by the minimum VaR attainable for each TEV level. We show that the RBF is the set of all tangency portfolios between two well-known frontiers: the so-called Constrained Tracking Error Volatility Frontier (Jorion, 2003) and the Constrained Value-at-Risk Frontier (Alexander and Baptista, 2008). Thus, the RBF is useful for analyzing the agency problem in delegated portfolio management. The RBF does not have a closed-form de nition and must be determined numerically: to this aim, we develop a fast and accurate algorithm.

Suggested Citation

  • Riccardo Lucchetti & Mihaela Nicolau & Giulio Palomba & Luca Riccetti, 2022. "Reconciling TEV and VaR in Active Portfolio Management: A New Frontier," Working Papers 461, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  • Handle: RePEc:anc:wpaper:461
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Benchmarking; portfolio frontiers; tracking error volatility; Value-at-Risk; misalignment of objectives;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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