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True Markowitz or assumptions we break and why it matters

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  • Wilford, D. Sykes

Abstract

Markowitz (1952, 1959) underlies modern corporate finance literature, from modern portfolio theory, option theory, to risk management (especially value at risk type methodologies). From it, Diversify has entered all languages, such is its power. Terms such as “the only free lunch” have become a way to give praise to Markowitz work. And, just as with all fundamental breakthroughs in the literature it has been extended many directions, sometimes not necessarily to the benefit of the original work, which often gets blamed when one rendition or another breaks down. With almost every MBA graduated believing they know what Markowitz optimization or portfolio theory means, it behooves us to step back and look at some of the basics, the assumptions that are made, the costs of breaking assumptions, and the potential disasters that can occur when those basics behind all of the theories dependent upon Markowitz' original work are ignored.

Suggested Citation

  • Wilford, D. Sykes, 2012. "True Markowitz or assumptions we break and why it matters," Review of Financial Economics, Elsevier, vol. 21(3), pages 93-101.
  • Handle: RePEc:eee:revfin:v:21:y:2012:i:3:p:93-101
    DOI: 10.1016/j.rfe.2012.06.003
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    References listed on IDEAS

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    1. Norland, Erik & Wilford, D. Sykes, 2002. "Global portfolios should be optimized in excess, not total returns," Review of Financial Economics, Elsevier, vol. 11(3), pages 213-224.
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    4. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    5. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    6. Al Janabi, Mazin A.M., 2012. "Optimal commodity asset allocation with a coherent market risk modeling," Review of Financial Economics, Elsevier, vol. 21(3), pages 131-140.
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    Cited by:

    1. Siamak Goudarzi & Mohammad Javad Jafari & Amir Afsar, 2017. "A Hybrid Model for Portfolio Optimization Based on Stock Clustering and Different Investment Strategies," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 602-608.
    2. Karagiannidis, Iordanis & Sykes Wilford, D., 2015. "Modeling fund and portfolio risk: A bi-modal approach to analyzing risk in turbulent markets," Review of Financial Economics, Elsevier, vol. 25(C), pages 19-26.
    3. Alejandra de la Rica Escudero & Eduardo C. Garrido-Merchan & Maria Coronado-Vaca, 2024. "Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent," Papers 2407.14486, arXiv.org.
    4. Marina Malkina & Rodion Balakin, 2015. "Correlation Assessment of Tax System Risk and Profitability in the Russian Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 241-255.
    5. Iordanis Karagiannidis & D. Sykes Wilford, 2015. "Modeling fund and portfolio risk: A bi‐modal approach to analyzing risk in turbulent markets," Review of Financial Economics, John Wiley & Sons, vol. 25(1), pages 19-26, April.
    6. Alejandra de-la-Rica-Escudero & Eduardo C Garrido-Merchán & María Coronado-Vaca, 2025. "Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-19, January.

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