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Enhancing the Black–Litterman and related approaches: Views and stress-test on risk factors

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  • Attilio Meucci

Abstract

The Black–Litterman and related approaches modify the return distribution of a normally distributed market according to views or stress-test scenarios. We discuss how to broaden the range of applications of these approaches significantly by letting them act on the risk factors underlying the market, instead of the returns of the securities. Code implementing the models discussed here can be found at www.symmys.com>Teaching>MATLAB.

Suggested Citation

  • Attilio Meucci, 2009. "Enhancing the Black–Litterman and related approaches: Views and stress-test on risk factors," Journal of Asset Management, Palgrave Macmillan, vol. 10(2), pages 89-96, June.
    • Handle: RePEc:pal:assmgt:v:10:y:2009:i:2:d:10.1057_jam.2008.42
    DOI: 10.1057/jam.2008.42
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    Citations

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    Cited by:

    1. Martin Schans & Hens Steehouwer, 2017. "Time-Dependent Black–Litterman," Journal of Asset Management, Palgrave Macmillan, vol. 18(5), pages 371-387, September.
    2. Rosella Giacometti & Domenico Mignacca, 2010. "Using the Black and Litterman framework for stress test analysis in asset management," Journal of Asset Management, Palgrave Macmillan, vol. 11(4), pages 286-297, October.
    3. Humberto Valencia Herrera, 2011. "Value at Risk and Return from the Use of Bayesian Methods for Stress Testing in a World Asset Allocation and the 2008-2009 Crisis," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 5(1), pages 33-49.
    4. Palczewski, Andrzej & Palczewski, Jan, 2019. "Black–Litterman model for continuous distributions," European Journal of Operational Research, Elsevier, vol. 273(2), pages 708-720.
    5. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & María de la Cruz Del Río-Rama & José Álvarez-García, 2022. "Using Markov-Switching Models in US Stocks Optimal Portfolio Selection in a Black–Litterman Context (Part 1)," Mathematics, MDPI, vol. 10(8), pages 1-28, April.
    6. Misha van Beek, 2020. "Consistent Calibration of Economic Scenario Generators: The Case for Conditional Simulation," Papers 2004.09042, arXiv.org.

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