Black-litterman model with multiple experts’ linguistic views

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Abstract

This paper presents fuzzy extensions of the Black-Litterman portfolio selection model. Black and Litterman identified two sources of information about expected returns and combined these two sources of information into one expected return formula. The first source of information is the expected returns that follow from the Capital Asset Pricing Model and thus should hold if the market is in equilibrium. The second source of information is comprised of the views held by investors. The presented extension, owing to the use of fuzzy random variables, includes two elements that are important from the point of view of practice: linguistic information and the views of multiple experts. The paper introduces the model extension step-by-step and presents an empirical example.

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Bartkowiak, M., & Rutkowska, A. (2017). Black-litterman model with multiple experts’ linguistic views. In Advances in Intelligent Systems and Computing (Vol. 456, pp. 35–43). Springer Verlag. https://doi.org/10.1007/978-3-319-42972-4_5

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