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Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance
  Portfolio

Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio

3 June 2021
Taras Bodnar
Nestor Parolya
Erik Thorsén
ArXivPDFHTML

Papers citing "Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio"

10 / 10 papers shown
Title
Statistical inference for the EU portfolio in high dimensions
Statistical inference for the EU portfolio in high dimensions
Taras Bodnar
Solomiia Dmytriv
Yarema Okhrin
Nestor Parolya
W. Schmid
9
14
0
10 May 2020
Spectral analysis of large reflexive generalized inverse and
  Moore-Penrose inverse matrices
Spectral analysis of large reflexive generalized inverse and Moore-Penrose inverse matrices
Taras Bodnar
Nestor Parolya
14
2
0
27 Apr 2020
Tests for the weights of the global minimum variance portfolio in a
  high-dimensional setting
Tests for the weights of the global minimum variance portfolio in a high-dimensional setting
Taras Bodnar
Solomiia Dmytriv
Nestor Parolya
W. Schmid
18
25
0
26 Oct 2017
Optimal shrinkage-based portfolio selection in high dimensions
Optimal shrinkage-based portfolio selection in high dimensions
Taras Bodnar
Yarema Okhrin
Nestor Parolya
41
45
0
07 Nov 2016
Optimal Shrinkage Estimator for High-Dimensional Mean Vector
Optimal Shrinkage Estimator for High-Dimensional Mean Vector
Taras Bodnar
Ostap Okhrin
Nestor Parolya
30
24
0
28 Oct 2016
Estimation of the Global Minimum Variance Portfolio in High Dimensions
Estimation of the Global Minimum Variance Portfolio in High Dimensions
Taras Bodnar
Nestor Parolya
W. Schmid
57
83
0
02 Jun 2014
On the Strong Convergence of the Optimal Linear Shrinkage Estimator for
  Large Dimensional Covariance Matrix
On the Strong Convergence of the Optimal Linear Shrinkage Estimator for Large Dimensional Covariance Matrix
Taras Bodnar
Arjun K. Gupta
Nestor Parolya
49
48
0
12 Aug 2013
Optimal Linear Shrinkage Estimator for Large Dimensional Precision
  Matrix
Optimal Linear Shrinkage Estimator for Large Dimensional Precision Matrix
Taras Bodnar
Arjun K. Gupta
Nestor Parolya
122
52
0
05 Aug 2013
Improved multivariate normal mean estimation with unknown covariance
  when p is greater than n
Improved multivariate normal mean estimation with unknown covariance when p is greater than n
Didier Chételat
M. Wells
37
24
0
27 Feb 2013
Large Covariance Estimation by Thresholding Principal Orthogonal
  Complements
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
Jianqing Fan
Yuan Liao
Martina Mincheva
128
854
0
30 Dec 2011
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