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20122024
most citedEstimation of the Global Minimum Variance Portfolio in High Dimensions

113 citations · 564 across the 30 of their papers we have counts for

collaborators

32 papers

q-fin.ST2024★ 3 cited

Consistent Estimation of the High-Dimensional Efficient Frontier

Taras Bodnar, Nikolaus Hautsch, Yarema Okhrin +1

In this paper, we analyze the asymptotic behavior of the main characteristics of the mean-variance efficient frontier employing random matrix theory. Our particular interest covers…

math.ST2024★ 2 cited

Reviving pseudo-inverses: Asymptotic properties of large dimensional Moore-Penrose and Ridge-type inverses with applications

Taras Bodnar, Nestor Parolya

In this paper, we derive high-dimensional asymptotic properties of the Moore-Penrose inverse and, as a byproduct, of various ridge-type inverses of the sample covariance matrix. In…

stat.ME2023

Gibbs sampler approach for objective Bayeisan inference in elliptical multivariate random effects model

Olha Bodnar, Taras Bodnar

In this paper, we present the Bayesian inference procedures for the parameters of the multivariate random effects model derived under the assumption of an elliptically contoured di…

math.ST2022

Estimation of sub-Gaussian random vectors using the method of moments

Taras Bodnar, Dmitry Otryakhin, Erik Thorsen

The sub-Gaussian stable distribution is a heavy-tailed elliptically contoured law which has interesting applications in signal processing and financial mathematics. This work addre…

q-fin.RM2022

Volatility Sensitive Bayesian Estimation of Portfolio VaR and CVaR

Taras Bodnar, Vilhelm Niklasson, Erik Thorsén

In this paper, a new way to integrate volatility information for estimating value at risk (VaR) and conditional value at risk (CVaR) of a portfolio is suggested. The new method is…

q-fin.ST2022★ 2 cited

Two is better than one: Regularized shrinkage of large minimum variance portfolio

Taras Bodnar, Nestor Parolya, Erik Thorsén

In this paper we construct a shrinkage estimator of the global minimum variance (GMV) portfolio by a combination of two techniques: Tikhonov regularization and direct shrinkage of…