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Constructing Bayesian tangency portfolios under short-selling restrictions

Bodnar, Olha, senior lecturer, 1979- (author)
Örebro universitet,Handelshögskolan vid Örebro Universitet,Unit of Statistics
Bodnar, Taras (author)
Department of Mathematics, Stockholm University, Stockholm, Sweden
Niklasson, Vilhelm (author)
Department of Mathematics, Stockholm University, Stockholm, Sweden
 (creator_code:org_t)
Elsevier, 2024
2024
English.
In: Finance Research Letters. - : Elsevier. - 1544-6123 .- 1544-6131. ; 62
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We address the challenge of constructing tangency portfolios in the context of short-selling restrictions. Utilizing Bayesian techniques, we reparameterize the asset return model, enabling direct determination of priors for the tangency portfolio weights. This facilitates the integration of non-negative weight constraints into an investor's prior beliefs, resulting in a posterior distribution focused exclusively on non-negative values. Portfolio weight estimators are subsequently derived via the Markov Chain Monte Carlo (MCMC) methodology. Our novel Bayesian approach is empirically illustrated using the most significant stocks in the S&P 500 index. The method showcases promising results in terms of risk-adjusted returns and interpretability.

Subject headings

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

Bayesian inference
Tangency portfolio
MCMC
Parameter uncertainty

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ref (subject category)
art (subject category)

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