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High dimensional covariance matrix estimation using a factor model. (2008). Fan, Jianqing ; Lv, Jinchi, .
In: Journal of Econometrics.
RePEc:eee:econom:v:147:y:2008:i:1:p:186-197.

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  2. Test of conditional independence in factor models via Hilbert–Schmidt independence criterion. (2024). Cheng, Qing ; Xu, Kai.
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  3. Power enhancement for testing multi-factor asset pricing models via Fisher’s method. (2024). Xue, Lingzhou ; Yao, Jiawei ; Yu, Xiufan.
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  4. Robustifying Markowitz. (2024). Zhivotovskiy, Nikita ; Hardle, Wolfgang Karl ; Klochkov, Yegor ; Petukhina, Alla.
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  5. Time-varying minimum variance portfolio. (2024). Fan, Qingliang (Michael) ; Zhong, Wei ; Yang, Yanrong ; Wu, Ruike.
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  6. Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data. (2024). Zhang, Haoxuan ; Linton, Oliver.
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  11. When It Counts—Econometric Identification of the Basic Factor Model Based on GLT Structures. (2023). Lopes, Hedibert Freitas ; Hosszejni, Darjus ; Fruhwirth-Schnatter, Sylvia.
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  23. Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage. (2023). Ribeiro, Ruy M ; Medeiros, Marcelo C ; de Brito, Diego S ; Alves, Rafael.
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  25. When it counts -- Econometric identification of the basic factor model based on GLT structures. (2023). Lopes, Hedibert Freitas ; Hosszejni, Darjus ; Fruhwirth-Schnatter, Sylvia.
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  29. Robust covariance estimation for distributed principal component analysis. (2022). Zhang, Lixin ; Bao, Han ; Li, Kangqiang.
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  30. Portfolio Selection Using Multivariate Semiparametric Estimators and a Copula PCA-Based Approach. (2022). Kouaissah, Noureddine ; Lozza, Sergio Ortobelli ; Jebabli, Ikram.
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  31. A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited. (2022). Zhao, Zhao ; de Nard, Gianluca.
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  32. Recent advances in shrinkage-based high-dimensional inference. (2022). Parolya, Nestor ; Bodnar, Taras.
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  33. Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization. (2022). Wong, Wing-Keung ; Bai, Zhi Dong ; Li, Hua ; McAleer, Michael.
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  34. Bayesian factor-adjusted sparse regression. (2022). Sun, Qiang ; Jiang, Bai ; Fan, Jianqing.
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  35. Copula shrinkage and portfolio allocation in ultra-high dimensions. (2022). Anatolyev, Stanislav ; Pyrlik, Vladimir.
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  37. SIMPLE: Statistical inference on membership profiles in large networks. (2022). Fan, Jianqing ; Jinchi Lv, ; Han, Xiao.
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  38. Robustifying Markowitz. (2022). Zhivotovskiy, Nikita ; Petukhina, Alla ; Klochkov, Yegor ; Hardle, Wolfgang Karl.
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  40. Fast estimation of Kendalls Tau and conditional Kendalls Tau matrices under structural assumptions. (2022). Derumigny, Alexis ; van der Spek, Rutger.
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  44. Forecasting systemic risk in portfolio selection: The role of technical trading rules. (2021). Hocine, Amin ; Kouaissah, Noureddine.
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  48. A Dynamic Mean-Variance Analysis for Log Returns. (2021). Jin, Hanqing ; Dai, Min ; Xu, Yuhong ; Kou, Steven.
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  51. A dynamic conditional approach to forecasting portfolio weights. (2021). Palandri, Alessandro ; Gallo, Giampiero M ; Cipollini, Fabrizio.
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  55. Long-term wealth growth portfolio allocation under parameter uncertainty: A non-conservative robust approach. (2021). Zhang, Tianlun ; Zhu, BO.
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  60. Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio. (2021). Thorsen, Erik ; Parolya, Nestor ; Bodnar, Taras.
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  63. Sparse Approximate Factor Estimation for High-Dimensional Covariance Matrices. (2020). Zagidullina, Aygul ; Pohlmeier, Winfried ; Daniele, Maurizio.
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  65. An Iterative Approach to Ill-Conditioned Optimal Portfolio Selection. (2020). Mazur, Stepan ; Gulliksson, Mrten.
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  90. A new semiparametric estimation approach for large dynamic covariance matrices with multiple conditioning variables. (2019). Li, Degui ; Chen, Jia ; Linton, Oliver.
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  93. A multiple testing approach to the regularisation of large sample correlation matrices. (2019). Pesaran, M ; Bailey, Natalia ; Smith, Vanessa L.
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    RePEc:eee:econom:v:208:y:2019:i:2:p:507-534.

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  94. Robust covariance estimation for approximate factor models. (2019). Fan, Jianqing ; Zhong, Yiqiao ; Wang, Weichen.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:208:y:2019:i:1:p:5-22.

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  95. Knowing factors or factor loadings, or neither? Evaluating estimators of large covariance matrices with noisy and asynchronous data. (2019). Dai, Chaoxing ; Xiu, Dacheng ; Lu, Kun.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:208:y:2019:i:1:p:43-79.

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  96. Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients. (2019). Yue, MU ; Cheng, Ming-yen ; Li, Jialiang.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:131:y:2019:i:c:p:222-234.

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  97. Estimation of Weak Factor Models. (2019). Yamagata, Takashi ; Uematsu, Yoshimasa.
    In: ISER Discussion Paper.
    RePEc:dpr:wpaper:1053.

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  98. Estimation of Cross-Sectional Dependence in Large Panels. (2019). GAO, Jiti ; Zhang, BO ; Yang, Yanrong ; Pan, Guangming.
    In: Papers.
    RePEc:arx:papers:1904.06843.

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  99. Factor models for portfolio selection in large dimensions: the good, the better and the ugly. (2018). Wolf, Michael ; Ledoit, Olivier ; de Nard, Gianluca.
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  100. A New Semiparametric Estimation Approach for Large Dynamic Covariance Matrices with Multiple Conditioning Variables. (2018). Li, Degui ; LINTON, OLIVER ; Chen, Jia.
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  101. Realized networks. (2018). Nualart, Eulalia ; Brownlees, Christian ; Sun, Yucheng.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:33:y:2018:i:7:p:986-1006.

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  102. A Stein-type shrinkage estimator of the covariance matrix for portfolio selections. (2018). Liu, Shuangzhe ; Ma, Tiefeng ; Sun, Ruili.
    In: Metrika: International Journal for Theoretical and Applied Statistics.
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  103. Robust equity portfolio performance. (2018). Fabozzi, Frank ; Kwon, Do-Gyun ; Kim, Woo Chang ; Ho, Jang.
    In: Annals of Operations Research.
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  104. Risk minimization in multi-factor portfolios: What is the best strategy?. (2018). Paterlini, Sandra ; Talmaciu, Andreea ; Kremer, Philipp J.
    In: Annals of Operations Research.
    RePEc:spr:annopr:v:266:y:2018:i:1:d:10.1007_s10479-017-2467-6.

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  105. Sparse Approximate Factor Estimation for High-Dimensional Covariance Matrices. (2018). Zagidullina, Aygul ; Pohlmeier, Winfried ; Daniele, Maurizio.
    In: Working Paper Series of the Department of Economics, University of Konstanz.
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  106. Tangency portfolio weights for singular covariance matrix in small and large dimensions: estimation and test theory. (2018). Tyrcha, Joanna ; Podgorski, Krzysztof ; Mazur, Stepan ; Bodnar, Taras.
    In: Working Papers.
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  107. High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. (2018). Couillet, Romain ; McKay, Matthew ; Yang, Liusha .
    In: Post-Print.
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  108. NOVELIST estimator of large correlation and covariance matrices and their inverses. (2018). Fryzlewicz, Piotr ; Huang, NA.
    In: LSE Research Online Documents on Economics.
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  109. Asymptotics for high-dimensional covariance matrices and quadratic forms with applications to the trace functional and shrinkage. (2018). Steland, Ansgar ; von Sachs, Rainer.
    In: Stochastic Processes and their Applications.
    RePEc:eee:spapps:v:128:y:2018:i:8:p:2816-2855.

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  110. Estimation of the global minimum variance portfolio in high dimensions. (2018). Parolya, Nestor ; Bodnar, Taras ; Schmid, Wolfgang.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:266:y:2018:i:1:p:371-390.

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  111. Factor models for asset returns based on transformed factors. (2018). Li, Jialiang ; Kong, Efang ; Zhang, Wenyang.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:207:y:2018:i:2:p:432-448.

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  112. Factor-adjusted multiple testing of correlations. (2018). Du, Lilun ; Zhong, Pingshou ; Luo, Ronghua ; Lan, Wei.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:128:y:2018:i:c:p:34-47.

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  113. A New Semiparametric Estimation Approach for Large Dynamic Covariance Matrices with Multiple Conditioning Variables. (2018). LINTON, OLIVER ; Chen, Jia.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:1876.

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  114. Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator. (2018). Esfahani, Peyman Mohajerin ; Kuhn, Daniel ; Nguyen, Viet Anh.
    In: Papers.
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  115. Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty. (2018). Hautsch, Nikolaus ; Voigt, Stefan.
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    RePEc:arx:papers:1709.06296.

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  116. Optimal shrinkage-based portfolio selection in high dimensions. (2018). Parolya, Nestor ; Bodnar, Taras ; Okhrin, Yarema.
    In: Papers.
    RePEc:arx:papers:1611.01958.

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  117. Optimal Shrinkage Estimator for High-Dimensional Mean Vector. (2018). Parolya, Nestor ; Bodnar, Taras ; Okhrin, Ostap.
    In: Papers.
    RePEc:arx:papers:1610.09292.

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  118. Large-scale portfolio allocation under transaction costs and model uncertainty. (2017). Hautsch, Nikolaus ; Voigt, Stefan.
    In: CFS Working Paper Series.
    RePEc:zbw:cfswop:582.

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  119. Big Data Challenges of High‐Dimensional Continuous‐Time Mean‐Variance Portfolio Selection and a Remedy. (2017). Wong, Hoi Ying ; Pun, Chi Seng ; Chiu, Mei Choi.
    In: Risk Analysis.
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  120. Modeling Dependence in High Dimensions With Factor Copulas. (2017). Oh, Donghwan ; Patton, Andrew J.
    In: Journal of Business & Economic Statistics.
    RePEc:taf:jnlbes:v:35:y:2017:i:1:p:139-154.

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  121. A Dynamic Structure for High-Dimensional Covariance Matrices and Its Application in Portfolio Allocation. (2017). Guo, Shaojun ; Zhang, Wenyang ; Box, John Leigh.
    In: Journal of the American Statistical Association.
    RePEc:taf:jnlasa:v:112:y:2017:i:517:p:235-253.

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  122. Nonlinear shrinkage estimation of large integrated covariance matrices. (2017). Lam, Clifford ; Hu, Charlie ; Feng, Phoenix.
    In: Biometrika.
    RePEc:oup:biomet:v:104:y:2017:i:2:p:481-488..

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  123. Discriminant analysis in small and large dimensions. (2017). Parolya, Nestor ; Ngailo, Edward ; Mazur, Stepan ; Bodnar, Taras.
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  124. Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions. (2017). Parolya, Nestor ; Mazur, Stepan ; Bodnar, Taras.
    In: Working Papers.
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  125. Nonlinear shrinkage estimation of large integrated covariance matrices. (2017). Hu, Charlie ; Feng, Phoenix ; Lam, Clifford.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:69812.

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  126. Using principal component analysis to estimate a high dimensional factor model with high-frequency data. (2017). Ait-Sahalia, Yacine ; Xiu, Dacheng.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:201:y:2017:i:2:p:384-399.

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  127. Sufficient forecasting using factor models. (2017). Fan, Jianqing ; Yao, Jiawei ; Xue, Lingzhou.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:201:y:2017:i:2:p:292-306.

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  128. On estimation of the noise variance in high dimensional probabilistic principal component analysis. (2017). Passemier, Damien ; Yao, Jianfeng ; Li, Zhaoyuan.
    In: Journal of the Royal Statistical Society Series B.
    RePEc:bla:jorssb:v:79:y:2017:i:1:p:51-67.

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  129. Sparse Portfolio Selection via the sorted $\ell_{1}$-Norm. (2017). Paterlini, Sandra ; Bogdan, Malgorzata ; Lee, Sangkyun ; Kremer, Philipp J.
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    RePEc:arx:papers:1710.02435.

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  130. Random matrix approach to estimation of high-dimensional factor models. (2017). Yeo, Joongyeub ; Papanicolaou, George .
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    RePEc:arx:papers:1611.05571.

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  131. An overview of the estimation of large covariance and precision matrices. (2016). Liao, Yuan ; Fan, Jianqing ; Liu, Han.
    In: Econometrics Journal.
    RePEc:wly:emjrnl:v:19:y:2016:i:1:p:c1-c32.

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  132. Spectrally-corrected estimation for high-dimensional markowitz mean-variance optimization. (2016). Wong, Wing-Keung ; McAleer, Michael ; Li, Hua ; Bai, Zhidong.
    In: Documentos de Trabajo del ICAE.
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  133. Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization. (2016). Wong, Wing-Keung ; McAleer, Michael ; Bai, Zhi Dong ; Li, Hua.
    In: Tinbergen Institute Discussion Papers.
    RePEc:tin:wpaper:20160025.

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  134. Default Correlations and Large-Portfolio Credit Analysis. (2016). Duan, Jin-Chuan ; Miao, Weimin.
    In: Journal of Business & Economic Statistics.
    RePEc:taf:jnlbes:v:34:y:2016:i:4:p:536-546.

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  135. Incorporating Global Industrial Classification Standard Into Portfolio Allocation: A Simple Factor-Based Large Covariance Matrix Estimator With High-Frequency Data. (2016). Fan, Jianqing ; Xiu, Dacheng ; Furger, Alex.
    In: Journal of Business & Economic Statistics.
    RePEc:taf:jnlbes:v:34:y:2016:i:4:p:489-503.

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  136. CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence. (2016). GAO, Jiti ; Pan, Guangming ; Yang, Yanrong .
    In: Monash Econometrics and Business Statistics Working Papers.
    RePEc:msh:ebswps:2016-12.

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  137. Estimation of a multiplicative covariance structure in the large dimensional case. (2016). LINTON, OLIVER ; Hafner, Christian ; Tang, Haihan .
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    RePEc:ifs:cemmap:52/16.

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  138. Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization. (2016). Wong, Wing-Keung ; McAleer, Michael ; Bai, Z ; Li, H.
    In: Econometric Institute Research Papers.
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  139. Linear shrinkage estimation of large covariance matrices using factor models. (2016). Ikeda, Yuki ; Kubokawa, Tatsuya.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:152:y:2016:i:c:p:61-81.

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  140. Exact and asymptotic tests on a factor model in low and large dimensions with applications. (2016). Bodnar, Taras ; Reiss, Markus .
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:150:y:2016:i:c:p:125-151.

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  141. Gaussian and robust Kronecker product covariance estimation: Existence and uniqueness. (2016). Soloveychik, I ; Trushin, D.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:149:y:2016:i:c:p:92-113.

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  142. Direct shrinkage estimation of large dimensional precision matrix. (2016). Parolya, Nestor ; Gupta, Arjun K ; Bodnar, Taras.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:146:y:2016:i:c:p:223-236.

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  143. Robust inference of risks of large portfolios. (2016). Fan, Jianqing ; Liu, Han ; Han, Fang ; Vickers, Byron .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:194:y:2016:i:2:p:298-308.

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  144. Testing super-diagonal structure in high dimensional covariance matrices. (2016). Chen, Song.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:194:y:2016:i:2:p:283-297.

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  145. Efficient estimation of approximate factor models via penalized maximum likelihood. (2016). Liao, Yuan ; Bai, Jushan.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:191:y:2016:i:1:p:1-18.

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  146. A generalized likelihood ratio test for normal mean when p is greater than n. (2016). Zhao, Junguang ; Xu, Xingzhong.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:99:y:2016:i:c:p:91-104.

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  147. Estimation of a Multiplicative Covariance Structure in the Large Dimensional Case. (2016). LINTON, OLIVER ; Hafner, Christian ; Tang, Haihan .
    In: CORE Discussion Papers.
    RePEc:cor:louvco:2016044.

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  148. Estimation of a Multiplicative Covariance Structure in the Large Dimensional Case. (2016). LINTON, OLIVER ; Hafner, Christian.
    In: Cambridge Working Papers in Economics.
    RePEc:cam:camdae:1664.

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  149. Implied basket correlation dynamics. (2016). Härdle, Wolfgang ; Karl, Hardle Wolfgang ; Elena, Silyakova .
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    RePEc:bpj:strimo:v:33:y:2016:i:1-2:p:1-20:n:2.

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  150. Asymptotics for High–Dimensional Covariance Matrices and Quadratic Forms with Applications to the Trace Functional and Shrinkage. (2016). von Sachs, Rainer ; Steland, Ansgar.
    In: IBSA Discussion Papers (ISBA - Institute of Statistics, Biostatistics and Actuarial Sciences).
    RePEc:aiz:louvad:2016038.

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  151. Linear Shrinkage Estimation of Large Covariance Matrices with Use of Factor Models. (2015). Kubokawa, Tatsuya ; Ikeda, Yuki .
    In: CIRJE F-Series.
    RePEc:tky:fseres:2015cf958.

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  152. Testing the Diagonality of a Large Covariance Matrix in a Regression Setting. (2015). Lan, Wei ; Yang, Yunhong ; Wang, Hansheng ; Tsai, Chih-Ling ; Luo, Ronghua.
    In: Journal of Business & Economic Statistics.
    RePEc:taf:jnlbes:v:33:y:2015:i:1:p:76-86.

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  153. Large Scale Covariance Estimates for Portfolio Selection. (2015). Lautizi, Francesco .
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  154. High dimensional Global Minimum Variance Portfolio. (2015). Wong, Wing-Keung ; Li, Hua ; Bai, Zhidong.
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  155. Covariance averaging for improved estimation and portfolio allocation. (2015). Thomakos, Dimitrios ; Papailias, Fotis.
    In: Financial Markets and Portfolio Management.
    RePEc:kap:fmktpm:v:29:y:2015:i:1:p:31-59.

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  156. Modelling Dependence in High Dimensions with Factor Copulas. (2015). Patton, Andrew ; Oh, Donghwan .
    In: Finance and Economics Discussion Series.
    RePEc:fip:fedgfe:2015-51.

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  157. A high dimensional two-sample test under a low dimensional factor structure. (2015). Ma, Yingying ; Wang, Hansheng ; Lan, Wei.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:140:y:2015:i:c:p:162-170.

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  158. Spectrum estimation: A unified framework for covariance matrix estimation and PCA in large dimensions. (2015). Wolf, Michael ; Ledoit, Olivier.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:139:y:2015:i:c:p:360-384.

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  159. High dimensional mean–variance optimization through factor analysis. (2015). Chen, Binbin ; Huang, Shih-Feng ; Pan, Guangming.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:133:y:2015:i:c:p:140-159.

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  160. Instrumental variable estimation in functional linear models. (2015). FLORENS, Jean-Pierre ; VanBellegem, Sebastien ; Van Bellegem, Sebastien .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:186:y:2015:i:2:p:465-476.

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  161. Risks of large portfolios. (2015). Liao, Yuan ; Fan, Jianqing ; Shi, Xiaofeng .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:186:y:2015:i:2:p:367-387.

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  162. Testing predictor significance with ultra high dimensional multivariate responses. (2015). Wang, Hansheng ; Ma, Yingying ; Lan, Wei.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:83:y:2015:i:c:p:275-286.

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  163. A Robust Statistics Approach to Minimum Variance Portfolio Optimization. (2015). Yang, Liusha ; Couillet, Romain ; McKay, Matthew R..
    In: Papers.
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  164. Robust Inference of Risks of Large Portfolios. (2015). Fan, Jianqing ; Vickers, Byron ; Liu, Han ; Han, Fang.
    In: Papers.
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  165. Estimation of the Global Minimum Variance Portfolio in High Dimensions. (2015). Parolya, Nestor ; Schmid, Wolfgang ; Bodnar, Taras.
    In: Papers.
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  166. Estimation and Forecasting of Large Realized Covariance Matrices and Portfolio Choice. (2014). Medeiros, Marcelo ; Kock, Anders ; Callot, Laurent.
    In: Tinbergen Institute Discussion Papers.
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  167. Modeling Conditional Covariances With Economic Information Instruments. (2014). Turtle, H. J. ; Wang, Kainan.
    In: Journal of Business & Economic Statistics.
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  168. Testing covariates in high-dimensional regression. (2014). Lan, Wei ; Wang, Hansheng ; Tsai, Chih-Ling.
    In: Annals of the Institute of Statistical Mathematics.
    RePEc:spr:aistmt:v:66:y:2014:i:2:p:279-301.

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  169. Band Width Selection for High Dimensional Covariance Matrix Estimation. (2014). Chen, Song ; Qiu, Yumou .
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  170. Theory and practice of GVAR modeling. (2014). Pesaran, M ; Chudik, Alexander.
    In: Globalization Institute Working Papers.
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  171. On the strong convergence of the optimal linear shrinkage estimator for large dimensional covariance matrix. (2014). Parolya, Nestor ; Gupta, Arjun K. ; Bodnar, Taras.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:132:y:2014:i:c:p:215-228.

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  172. Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models. (2014). Nakajima, Jouchi ; Zhou, Xiaocong ; West, Mike .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:30:y:2014:i:4:p:963-980.

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  173. An empirical Bayesian approach to stein-optimal covariance matrix estimation. (2014). Gillen, Benjamin J..
    In: Journal of Empirical Finance.
    RePEc:eee:empfin:v:29:y:2014:i:c:p:402-420.

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  174. Design-free estimation of variance matrices. (2014). Abadir, Karim ; Ike, Filip ; Distaso, Walter .
    In: Journal of Econometrics.
    RePEc:eee:econom:v:181:y:2014:i:2:p:165-180.

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  175. Instrumental variable estimation in functional linear models. (2014). FLORENS, Jean-Pierre ; VanBellegem, Sebastien ; Van Bellegem, Sebastien .
    In: CORE Discussion Papers.
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  176. A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices. (2014). Pesaran, M ; Bailey, Natalia ; Smith, Vanessa L..
    In: CESifo Working Paper Series.
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  177. Theory and Practice of GVAR Modeling. (2014). Pesaran, M ; Chudik, Alexander.
    In: CESifo Working Paper Series.
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  178. A multiple testing approach to the regularisation of large sample correlation matrices. (2014). Pesaran, M ; Bailey, Natalia ; Smith, Vanessa .
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  179. Theory and Practice of GVAR Modeling. (2014). Pesaran, M ; Chudik, Alexander.
    In: Cambridge Working Papers in Economics.
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  180. On the Strong Convergence of the Optimal Linear Shrinkage Estimator for Large Dimensional Covariance Matrix. (2014). Parolya, Nestor ; Gupta, Arjun K. ; Bodnar, Taras.
    In: Papers.
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  181. Optimal Linear Shrinkage Estimator for Large Dimensional Precision Matrix. (2014). Parolya, Nestor ; Gupta, Arjun K. ; Bodnar, Taras.
    In: Papers.
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  182. Estimation and Forecasting of Large Realized Covariance Matrices and Portfolio Choice. (2014). Medeiros, Marcelo ; Kock, Anders ; Callot, Laurent ; Laurent A. F. Callot, .
    In: CREATES Research Papers.
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  183. Optimal Ridge-type Estimators of Covariance Matrix in High Dimension. (2013). Srivastava, Muni S. ; Kubokawa, Tatsuya.
    In: CIRJE F-Series.
    RePEc:tky:fseres:2013cf906.

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  184. Two kinds of variance/covariance estimates in linear mixed models. (2013). Li, Zaixing.
    In: Metrika: International Journal for Theoretical and Applied Statistics.
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  185. Covariance Averaging for Improved Estimation and Portfolio Allocation. (2013). Thomakos, Dimitrios ; Papailias, Fotis.
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  40. A Metropolis-in-Gibbs Sampler for Estimating Equity Market Factors. (2007). Tsiaplias, Sarantis.
    In: Melbourne Institute Working Paper Series.
    RePEc:iae:iaewps:wp2007n18.

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  41. Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in Handbook of Financial Time Series (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss and T. Miko. (2007). Omori, Yasuhiro ; Asai, Manabu ; Chib, Siddhartha .
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  42. Understanding Sources of the Change in International Business Cycles. (2007). Tekatli, Necati.
    In: UFAE and IAE Working Papers.
    RePEc:aub:autbar:731.08.

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  43. Generalized Factor Models: A Bayesian Approach. (2007). Tekatli, Necati.
    In: UFAE and IAE Working Papers.
    RePEc:aub:autbar:730.08.

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  44. Fast estimation of multivariate stochastic volatility. (2007). Triantafyllopoulos, Kostas ; Montana, Giovanni.
    In: Papers.
    RePEc:arx:papers:0708.4376.

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  45. Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S.. (2005). Sargent, Thomas ; Cogley, Timothy.
    In: Review of Economic Dynamics.
    RePEc:red:issued:v:8:y:2005:i:2:p:262-302.

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  46. Bayesian fan charts for U.K. inflation: Forecasting and sources of uncertainty in an evolving monetary system. (2005). Sargent, Thomas ; Morozov, Sergei ; Cogley, Timothy.
    In: Journal of Economic Dynamics and Control.
    RePEc:eee:dyncon:v:29:y:2005:i:11:p:1893-1925.

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  47. Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models. (2004). Richard, Jean-Francois ; Liesenfeld, Roman .
    In: Economics Working Papers.
    RePEc:zbw:cauewp:2443.

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  48. Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models. (2004). Richard, Jean-Francois ; Liesenfeld, Roman .
    In: Working Paper.
    RePEc:pit:wpaper:322.

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  49. Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system. (2003). Sargent, Thomas ; Cogley, Timothy ; Morozov, Sergei ; ThomasJ. Sargent, .
    In: CFS Working Paper Series.
    RePEc:zbw:cfswop:200344.

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  50. Univariate and multivariate stochastic volatility models: estimation and diagnostics. (2003). Richard, Jean-Francois ; Liesenfeld, Roman .
    In: Journal of Empirical Finance.
    RePEc:eee:empfin:v:10:y:2003:i:4:p:505-531.

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