4,603
Views
147
CrossRef citations to date
0
Altmetric
Original Articles

Large Dynamic Covariance Matrices

, &
Pages 363-375 | Received 01 Jul 2016, Published online: 22 Dec 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (17)

Gustav Alfelt, Taras Bodnar, Farrukh Javed & Joanna Tyrcha. (2023) Singular Conditional Autoregressive Wishart Model for Realized Covariance Matrices. Journal of Business & Economic Statistics 41:3, pages 833-845.
Read now
Laura Reh, Fabian Krüger & Roman Liesenfeld. (2023) Predicting the Global Minimum Variance Portfolio. Journal of Business & Economic Statistics 41:2, pages 440-452.
Read now
Carlos Trucíos, João H. G. Mazzeu, Marc Hallin, Luiz K. Hotta, Pedro L. Valls Pereira & Mauricio Zevallos. (2023) Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach. Journal of Business & Economic Statistics 41:1, pages 40-52.
Read now
Raymond Kwong & Helen Wong. (2022) Value-at-risk in the presence of asset price bubbles. Journal of Applied Economics 25:1, pages 361-384.
Read now
Christian Bongiorno & Damien Challet. (2022) Reactive global minimum variance portfolios with k-BAHC covariance cleaning. The European Journal of Finance 28:13-15, pages 1344-1360.
Read now
M. Raddant & F. Wagner. (2022) Multivariate GARCH with dynamic beta. The European Journal of Finance 28:13-15, pages 1324-1343.
Read now
Siyang Peng, Shaojun Guo & Yonghong Long. (2022) Large dimensional portfolio allocation based on a mixed frequency dynamic factor model. Econometric Reviews 41:5, pages 539-563.
Read now
Zifeng Zhao, Peng Shi & Zhengjun Zhang. (2022) Modeling Multivariate Time Series With Copula-Linked Univariate D-Vines. Journal of Business & Economic Statistics 40:2, pages 690-704.
Read now
Yuan Ke, Heng Lian & Wenyang Zhang. (2022) High-Dimensional Dynamic Covariance Matrices With Homogeneous Structure. Journal of Business & Economic Statistics 40:1, pages 96-110.
Read now
Tae-Hwy Lee, Millie Yi Mao & Aman Ullah. (2021) Estimation of high-dimensional dynamic conditional precision matrices with an application to forecast combination. Econometric Reviews 40:10, pages 905-918.
Read now
Jose Olmo. (2021) Optimal portfolio allocation and asset centrality revisited. Quantitative Finance 21:9, pages 1475-1490.
Read now
Cavit Pakel, Neil Shephard, Kevin Sheppard & Robert F. Engle. (2021) Fitting Vast Dimensional Time-Varying Covariance Models. Journal of Business & Economic Statistics 39:3, pages 652-668.
Read now
Yang Yang & Zhao Zhao. (2021) Large cryptocurrency-portfolios: efficient sorting with leverage constraints. Applied Economics 53:21, pages 2398-2411.
Read now
Bastian Gribisch & Michael Stollenwerk. (2020) Dynamic principal component CAW models for high-dimensional realized covariance matrices. Quantitative Finance 20:5, pages 799-821.
Read now
Xiaoning Kang, Chaoping Xie & Mingqiu Wang. (2020) A Cholesky-based estimation for large-dimensional covariance matrices. Journal of Applied Statistics 47:6, pages 1017-1030.
Read now
Carlos Trucíos, Luiz K. Hotta & Esther Ruiz. (2018) Robust bootstrap densities for dynamic conditional correlations: implications for portfolio selection and Value-at-Risk. Journal of Statistical Computation and Simulation 88:10, pages 1976-2000.
Read now

Articles from other publishers (130)

Tingguo Zheng & Shiqi Ye. (2023) Cholesky GAS models for large time-varying covariance matrices. Journal of Management Science and Engineering.
Crossref
Sama Haddad. (2023) Global Financial Market Integration: A Literature Survey. Journal of Risk and Financial Management 16:12, pages 495.
Crossref
Andrés García-Medina, Salvatore Miccichè & Rosario N. Mantegna. (2023) Two-step estimators of high-dimensional correlation matrices. Physical Review E 108:4.
Crossref
M. Raddant & T. Di Matteo. (2023) A look at financial dependencies by means of econophysics and financial economics. Journal of Economic Interaction and Coordination 18:4, pages 701-734.
Crossref
Shamim Ahmed, Ziwen Bu, Lazaros Symeonidis & Daniel Tsvetanov. (2023) Which factor model? A systematic return covariation perspective. Journal of International Money and Finance 136, pages 102865.
Crossref
W. Qiao, D. Bu, A. Gibberd, Y. Liao, T. Wen & E. Li. (2023) When “time varying” volatility meets “transaction cost” in portfolio selection. Journal of Empirical Finance 73, pages 220-237.
Crossref
Jiti Gao, Fei Liu, Bin Peng & Yayi Yan. (2023) Binary response models for heterogeneous panel data with interactive fixed effects. Journal of Econometrics 235:2, pages 1654-1679.
Crossref
Marc Hallin & Carlos Trucíos. (2023) Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach. Econometrics and Statistics 27, pages 1-15.
Crossref
Sylvia Gottschalk. (2021) From Black Wednesday to Brexit: Macroeconomic shocks and correlations of equity returns in France, Germany, Italy, Spain, and the United Kingdom. International Journal of Finance & Economics 28:3, pages 2843-2873.
Crossref
Gianluca De Nard & Zhao Zhao. (2023) Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices. Journal of Empirical Finance 72, pages 23-35.
Crossref
Rafael P Alves, Diego S de Brito, Marcelo C Medeiros & Ruy M Ribeiro. (2023) Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage. Journal of Financial Econometrics.
Crossref
Yan Zhang, Jiyuan Tao, Yongyao Lv & Guoqiang Wang. (2023) An Improved DCC Model Based on Large-Dimensional Covariance Matrices Estimation and Its Applications. Symmetry 15:4, pages 953.
Crossref
Yan Li, Kun Chen, Jun Yan & Xuebin Zhang. (2023) Regularized fingerprinting in detection and attribution of climate change with weight matrix optimizing the efficiency in scaling factor estimation. The Annals of Applied Statistics 17:1.
Crossref
Christian Bongiorno & Damien Challet. (2023) Non-linear shrinkage of the price return covariance matrix is far from optimal for portfolio optimization. Finance Research Letters 52, pages 103383.
Crossref
C Bongiorno, D Challet & G Loeper. (2023) Filtering time-dependent covariance matrices using time-independent eigenvalues. Journal of Statistical Mechanics: Theory and Experiment 2023:2, pages 023402.
Crossref
Abdelaziz Chazi, Anis Samet & A.S.M. Sohel Azad. (2023) Volatility and correlation of Islamic and conventional indices during crises. Global Finance Journal 55, pages 100800.
Crossref
Yang Wan, Yuncheng Song, Xinqian Zhang & Zhichao Yin. (2023) Asymmetric volatility connectedness between cryptocurrencies and energy: Dynamics and determinants. Frontiers in Environmental Science 11.
Crossref
Zhao Zhao, Olivier Ledoit & Hui Jiang. (2023) Risk Reduction and Efficiency Increase in Large Portfolios: Gross-Exposure Constraints and Shrinkage of the Covariance Matrix. Journal of Financial Econometrics 21:1, pages 73-105.
Crossref
Karim M Abadir. (2023) Explicit minimal representation of variance matrices, and its implication for dynamic volatility models. The Econometrics Journal 26:1, pages 88-104.
Crossref
Simon Hediger, Jeffrey Näf & Michael Wolf. (2023) R-NL: Covariance Matrix Estimation for Elliptical Distributions Based on Nonlinear Shrinkage. IEEE Transactions on Signal Processing 71, pages 1657-1668.
Crossref
Yun Wei, Bala Rajaratnam & Alfred O. Heroiii. (2023) A Unified Framework for Correlation Mining in Ultra-High Dimension. IEEE Transactions on Information Theory 69:1, pages 334-382.
Crossref
Piotr Fiszeder, Marcin Fałdziński & Peter Molnár. (2023) Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices. Journal of Empirical Finance 70, pages 308-321.
Crossref
Stavroula Yfanti, Menelaos Karanasos, Constantin Zopounidis & Apostolos Christopoulos. (2023) Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics. European Journal of Operational Research 304:2, pages 813-831.
Crossref
Jan Patrick Hartkopf. (2022) Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models. Empirical Economics 64:1, pages 393-436.
Crossref
Hideto Shigemoto & Takayuki Morimoto. (2022) Forecasting High-Dimensional Covariance Matrices Using High-Dimensional Principal Component Analysis. Axioms 11:12, pages 692.
Crossref
Yan Zhang, Jiyuan Tao, Zhixiang Yin & Guoqiang Wang. (2022) Improved Large Covariance Matrix Estimation Based on Efficient Convex Combination and Its Application in Portfolio Optimization. Mathematics 10:22, pages 4282.
Crossref
Stanislav Anatolyev & Vladimir Pyrlik. (2022) Copula shrinkage and portfolio allocation in ultra-high dimensions. Journal of Economic Dynamics and Control 143, pages 104508.
Crossref
Jordi Llorens-Terrazas & Christian Brownlees. (2022) Projected Dynamic Conditional Correlations. International Journal of Forecasting.
Crossref
Anja Vinzelberg & Benjamin R. Auer. (2022) Unprofitability of food market investments. Managerial and Decision Economics 43:7, pages 2887-2910.
Crossref
Nini Johana Marín-Rodríguez, Juan David González-Ruiz & Sergio Botero. (2022) Dynamic relationships among green bonds, CO2 emissions, and oil prices. Frontiers in Environmental Science 10.
Crossref
Laura Liu, Christian Matthes & Katerina Petrova. 2022. Essays in Honour of Fabio Canova. Essays in Honour of Fabio Canova 37 64 .
PáL László. (2022) Asset Allocation Strategies Using Covariance Matrix Estimators. Acta Universitatis Sapientiae, Economics and Business 10:1, pages 133-144.
Crossref
Qingliang Fan, Ruike Wu, Yanrong Yang & Wei Zhong. (2022) Time-varying minimum variance portfolio. Journal of Econometrics, pages 105339.
Crossref
Vasyl Golosnoy, Bastian Gribisch & Miriam Isabel Seifert. (2021) Sample and realized minimum variance portfolios: Estimation, statistical inference, and tests. WIREs Computational Statistics 14:5.
Crossref
Gianluca De Nard. (2022) Oops! I Shrunk the Sample Covariance Matrix Again: Blockbuster Meets Shrinkage. Journal of Financial Econometrics 20:4, pages 569-611.
Crossref
Olivier Ledoit & Michael Wolf. (2022) Quadratic shrinkage for large covariance matrices. Bernoulli 28:3.
Crossref
Immo Stadtmüller, Benjamin R. Auer & Frank Schuhmacher. (2022) On the benefits of active stock selection strategies for diversified investors. The Quarterly Review of Economics and Finance 85, pages 342-354.
Crossref
Siyang Peng, Shaojun Guo & Yonghong Long. (2022) Large Dynamic Covariance Matrix Estimation with an Application to Portfolio Allocation: A Semiparametric Reproducing Kernel Hilbert Space Approach. Journal of Systems Science and Complexity 35:4, pages 1429-1457.
Crossref
Gianluca De Nard & Zhao Zhao. (2022) A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited. International Review of Economics & Finance 80, pages 654-676.
Crossref
Paolo Bartesaghi, Gian Paolo Clemente & Rosanna Grassi. (2022) A tensor-based unified approach for clustering coefficients in financial multiplex networks. Information Sciences 601, pages 268-286.
Crossref
Jian Zhang & Jie Li. (2021) Factorized estimation of high‐dimensional nonparametric covariance models. Scandinavian Journal of Statistics 49:2, pages 542-567.
Crossref
Niels S. Grønborg, Asger Lunde, Kasper V. Olesen & Harry Vander Elst. (2022) Realizing correlations across asset classes. Journal of Financial Markets 59, pages 100729.
Crossref
Cheng Liu, Moming Wang & Ningning Xia. (2022) Design-free estimation of integrated covariance matrices for high-frequency data. Journal of Multivariate Analysis 189, pages 104910.
Crossref
Zhanrui Cai, Changcheng Li, Jiawei Wen & Songshan Yang. (2022) Asset splitting algorithm for ultrahigh dimensional portfolio selection and its theoretical property. Journal of Econometrics, pages 105291.
Crossref
Gianluca De Nard, Robert F. Engle, Olivier Ledoit & Michael Wolf. (2022) Large dynamic covariance matrices: Enhancements based on intraday data. Journal of Banking & Finance 138, pages 106426.
Crossref
Vasyl Golosnoy & Bastian Gribisch. (2022) Modeling and forecasting realized portfolio weights. Journal of Banking & Finance 138, pages 106404.
Crossref
Khaldoun Khashanah, Majeed Simaan & Yusif Simaan. (2022) Do we need higher-order comoments to enhance mean-variance portfolios? Evidence from a simplified jump process. International Review of Financial Analysis 81, pages 102068.
Crossref
Gianluca De Nard, Simon Hediger & Markus Leippold. (2022) Subsampled factor models for asset pricing: The rise of Vasa. Journal of Forecasting.
Crossref
Luc Bauwens & Edoardo Otranto. (2022) Modeling Realized Covariance Matrices: A Class of Hadamard Exponential Models. Journal of Financial Econometrics.
Crossref
Olivier Ledoit & Michael Wolf. (2022) The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation. Journal of Financial Econometrics 20:1, pages 187-218.
Crossref
Anja Vinzelberg & Benjamin Rainer Auer. (2022) A comparison of minimum variance and maximum Sharpe ratio portfolios for mainstream investors. The Journal of Risk Finance 23:1, pages 55-84.
Crossref
Arian Eamaz, Farhang Yeganegi & Mojtaba Soltanalian. (2022) Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds. IEEE Transactions on Signal Processing 70, pages 5222-5236.
Crossref
Christian M. Hafner & Linqi Wang. (2022) Dynamic portfolio selection with sector-specific regularization. Econometrics and Statistics.
Crossref
Matthew R Lyle & Teri Lombardi Yohn. (2021) Fundamental Analysis and Mean-Variance Optimal Portfolios. The Accounting Review 96:6, pages 303-327.
Crossref
Olivier Ledoit & Michael Wolf. (2021) Shrinkage estimation of large covariance matrices: Keep it simple, statistician?. Journal of Multivariate Analysis 186, pages 104796.
Crossref
Sven Husmann, Antoniya Shivarova & Rick Steinert. (2021) Cross-validated covariance estimators for high-dimensional minimum-variance portfolios. Financial Markets and Portfolio Management 35:3, pages 309-352.
Crossref
Jilber Urbina, Miguel Santolino & Montserrat Guillen. (2021) Covariance Principle for Capital Allocation: A Time-Varying Approach. Mathematics 9:16, pages 2005.
Crossref
Gianluca De Nard, Olivier Ledoit & Michael Wolf. (2021) Factor Models for Portfolio Selection in Large Dimensions: The Good, the Better and the Ugly. Journal of Financial Econometrics 19:2, pages 236-257.
Crossref
Hanchao Wang, Bin Peng, Degui Li & Chenlei Leng. (2021) Nonparametric estimation of large covariance matrices with conditional sparsity. Journal of Econometrics 223:1, pages 53-72.
Crossref
Fabrizio Cipollini, Giampiero M. Gallo & Alessandro Palandri. (2021) A dynamic conditional approach to forecasting portfolio weights. International Journal of Forecasting 37:3, pages 1111-1126.
Crossref
Qifa Xu, Junqing Zuo, Cuixia Jiang & Yaoyao He. (2020) A large constrained time‐varying portfolio selection model with DCC‐MIDAS : Evidence from Chinese stock market . International Journal of Finance & Economics 26:3, pages 3417-3435.
Crossref
Yi Ding, Yingying Li & Xinghua Zheng. (2021) High dimensional minimum variance portfolio estimation under statistical factor models. Journal of Econometrics 222:1, pages 502-515.
Crossref
Degui Li. (2021) Estimation of Large Dynamic Covariance Matrices: A Selective Review. Econometrics and Statistics.
Crossref
Hiroyuki Kawakatsu. (2021) Simple Multivariate Conditional Covariance Dynamics Using Hyperbolically Weighted Moving Averages. Journal of Econometric Methods 10:1, pages 33-52.
Crossref
Matthias Raddant & Dror Y. Kenett. (2021) Interconnectedness in the global financial market. Journal of International Money and Finance 110, pages 102280.
Crossref
Pietro Coretto, Michele La Rocca & Giuseppe Storti. 2021. Mathematical and Statistical Methods for Actuarial Sciences and Finance. Mathematical and Statistical Methods for Actuarial Sciences and Finance 169 174 .
Xiaoning Kang, Xinwei Deng, Kam‐Wah Tsui & Mohsen Pourahmadi. (2019) On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices. International Statistical Review 88:3, pages 616-641.
Crossref
Catherine D’Hondt, Rudy De Winne, Eric Ghysels & Steve Raymond. (2020) Artificial Intelligence Alter Egos: Who might benefit from robo-investing?. Journal of Empirical Finance 59, pages 278-299.
Crossref
Kei Nakagawa & Yusuke Uchiyama. (2020) GO-GJRSK Model with Application to Higher Order Risk-Based Portfolio. Mathematics 8:11, pages 1990.
Crossref
Markus Leippold & Roger Rueegg. (2020) Fama–French factor timing: The long‐only integrated approach. European Financial Management.
Crossref
Olivier Ledoit & Michael Wolf. (2020) Analytical nonlinear shrinkage of large-dimensional covariance matrices. The Annals of Statistics 48:5.
Crossref
Kei Nakagawa, Masaya Abe & Junpei Komiyama. (2020) RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy. RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy.
Yingjie Dong & Yiu-Kuen Tse. (2020) Forecasting large covariance matrix with high-frequency data using factor approach for the correlation matrix. Economics Letters 195, pages 109465.
Crossref
Guilherme V. Moura, André A.P. Santos & Esther Ruiz. (2020) Comparing high-dimensional conditional covariance matrices: Implications for portfolio selection. Journal of Banking & Finance 118, pages 105882.
Crossref
Tim Bollerslev, Andrew J. Patton & Rogier Quaedvlieg. (2020) Multivariate leverage effects and realized semicovariance GARCH models. Journal of Econometrics 217:2, pages 411-430.
Crossref
Zhicun Bian, Yin Liao, Michael O’Neill, Jing Shi & Xueyong Zhang. (2020) Large-scale minimum variance portfolio allocation using double regularization. Journal of Economic Dynamics and Control 116, pages 103939.
Crossref
Masaya Abe & Kei Nakagawa. (2020) Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management. Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management.
Yusuke Uchiyama & Kei Nakagawa. (2020) TPLVM: Portfolio Construction by Student’s t-Process Latent Variable Model. Mathematics 8:3, pages 449.
Crossref
Clifford Lam. (2019) High‐dimensional covariance matrix estimation. WIREs Computational Statistics 12:2.
Crossref
Xin Yuan, Weiqin Yu, Zhixiang Yin & Guoqiang Wang. (2020) Improved Large Dynamic Covariance Matrix Estimation With Graphical Lasso and Its Application in Portfolio Selection. IEEE Access 8, pages 189179-189188.
Crossref
Masaya Abe & Kei Nakagawa. 2020. New Frontiers in Artificial Intelligence. New Frontiers in Artificial Intelligence 87 102 .
Lukas Plachel. (2019) A unified model for regularized and robust portfolio optimization. Journal of Economic Dynamics and Control 109, pages 103779.
Crossref
Carlos Trucíos, Mauricio Zevallos, Luiz K. Hotta & André A. P. Santos. (2019) Covariance Prediction in Large Portfolio Allocation. Econometrics 7:2, pages 19.
Crossref
Mark Grinblatt & Konark Saxena. (2018) When Factors Do Not Span Their Basis Portfolios. Journal of Financial and Quantitative Analysis 53:6, pages 2335-2354.
Crossref
Olivier Ledoit, Michael Wolf & Zhao Zhao. (2018) Efficient Sorting: A More Powerful Test for Cross-Sectional Anomalies. Journal of Financial Econometrics.
Crossref
Kei Nakagawa, Mitsuyoshi Imamura & Kenichi Yoshida. (2018) Risk-Based Portfolios with Large Dynamic Covariance Matrices. International Journal of Financial Studies 6:2, pages 52.
Crossref
Luiz Koodi Hotta & Carlos Trucíos. 2018. Advances in Mathematics and Applications. Advances in Mathematics and Applications 179 202 .
Olivier Ledoit & Michael Wolf. (2017) Numerical implementation of the QuEST function. Computational Statistics & Data Analysis 115, pages 199-223.
Crossref
Simon Hediger & Jeffrey Näf. (2022) Shrinking in COMFORT. SSRN Electronic Journal.
Crossref
Ekaterina Kazak, Yifan Li, Ingmar Nolte & Sandra Nolte (Lechner). (2022) Direct Portfolio Weight Estimator: Mitigating Specification Risk with Realized Utility. SSRN Electronic Journal.
Crossref
Roman Matkovskyy & Akanksha Jalan. (2021) Football vs Cryptos: Which Scores the Goal During COVID-19?. SSRN Electronic Journal.
Crossref
Qingliang Fan, Ruike Wu, Yanrong Yang & Wei Zhong. (2021) Time-varying Minimum Variance Portfolio. SSRN Electronic Journal.
Crossref
Stanislav Anatolyev & Vladimir Pyrlik. (2021) Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions. SSRN Electronic Journal.
Crossref
Bram van Os & Dick J.C. van Dijk. (2021) Pooling Dynamic Conditional Correlation Models. SSRN Electronic Journal.
Crossref
Lucien Boulet. (2021) Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs. SSRN Electronic Journal.
Crossref
Gianluca De Nard & Zhao Zhao. (2021) Using, Taming or Avoiding the Factor Zoo? A Double-Shrinkage Estimator for Covariance Matrices. SSRN Electronic Journal.
Crossref
Vincent Tan & Stefan Zohren. (2021) Large Non-Stationary Noisy Covariance Matrices: A Cross-Validation Approach. SSRN Electronic Journal.
Crossref
Jiti Gao, Fei Liu & Bin Peng. (2020) Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects. SSRN Electronic Journal.
Crossref
Jan P. Hartkopf. (2020) From Large to Vast: Composite Forecasting of Vast-Dimensional Realized Covariance Matrices Using Factor State-Space Models. SSRN Electronic Journal.
Crossref
Zhipeng Liao & Yan Liu. (2020) Optimal Cross-Sectional Regression. SSRN Electronic Journal.
Crossref
Vasyl Golosnoy & Bastian Gribisch. (2020) Modeling and Forecasting Realized Portfolio Weights. SSRN Electronic Journal.
Crossref
Gianluca De Nard, Robert F. Engle, Olivier Ledoit & Michael Wolf. (2020) Large Dynamic Covariance Matrices: Enhancements Based on Intraday Data. SSRN Electronic Journal.
Crossref
Christian T. Brownlees & Jordi Llorens-Terrazas. (2020) Projected Dynamic Conditional Correlations. SSRN Electronic Journal.
Crossref
Gianluca De Nard & Zhao Zhao. (2020) A Large-Dimensional Test for Cross-Sectional Anomalies: Efficient Sorting Revisited. SSRN Electronic Journal.
Crossref
Gianluca De Nard, Simon Hediger & Markus Leippold. (2020) Subsampled Factor Models for Asset Pricing: The Rise of Vasa. SSRN Electronic Journal.
Crossref
Simon A. Broda & Marc S. Paolella. (2020) Archmodels.Jl: Estimating Arch Models in Julia. SSRN Electronic Journal.
Crossref
Simon Bodilsen. (2020) Multivariate High-Frequency-Based Factor Model. SSRN Electronic Journal.
Crossref
Khaldoun Khashanah, Majeed Simaan & Yusif Simaan. (2020) A Parsimonious Approach for Higher-Order Moments in Portfolio Selection. SSRN Electronic Journal.
Crossref
Olivier Ledoit & Michael Wolf. (2019) Quadratic Shrinkage for Large Covariance Matrices. SSRN Electronic Journal.
Crossref
Laura Reh, Fabian Krüger & Roman Liesenfeld. (2019) Dynamic Modeling of the Global Minimum Variance Portfolio. SSRN Electronic Journal.
Crossref
Zhao Zhao, Olivier Ledoit & Hui Jiang. (2019) Risk Reduction and Efficiency Increase in Large Portfolios: Leverage and Shrinkage. SSRN Electronic Journal.
Crossref
Olivier Ledoit & Michael Wolf. (2019) Shrinkage Estimation of Large Covariance Matrices: Keep it Simple, Statistician?. SSRN Electronic Journal.
Crossref
Gianluca De Nard. (2019) Oops! I Shrunk the Sample Covariance Matrix Again: Blockbuster Meets Shrinkage. SSRN Electronic Journal.
Crossref
Carlos César Trucíos Maza, João Henrique Gonçalves Mazzeu, Marc Hallin, Luiz Koodi Hotta, Pedro L. Valls Pereira & Mauricio Zevallos. (2019) Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach. SSRN Electronic Journal.
Crossref
Olivier Ledoit & Michael Wolf. (2019) The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation. SSRN Electronic Journal.
Crossref
Carlos César Trucíos Maza, Mauricio Zevallos, Luiz Koodi Hotta & André Santos. (2018) Covariance Prediction in Large Portfolio Allocation. SSRN Electronic Journal.
Crossref
Andries van Vlodrop & Andre Lucas. (2018) Estimation Risk and Shrinkage in Vast-Dimensional Fundamental Factor Models. SSRN Electronic Journal.
Crossref
Niels Groenborg, Asger Lunde, Kasper Olesen & Harry Vander Elst. (2018) Realizing Correlations Across Asset Classes. SSRN Electronic Journal.
Crossref
Guilherme Valle Moura & Andre A. P. Santos. (2018) Forecasting Large Stochastic Covariance Matrices. SSRN Electronic Journal.
Crossref
Jia Chen, Degui Li & Oliver B. Linton. (2018) A New Semiparametric Estimation Approach of Large Dynamic Covariance Matrices with Multiple Conditioning Variables. SSRN Electronic Journal.
Crossref
Gianluca De Nard, Olivier Ledoit & Michael Wolf. (2018) Factor Models for Portfolio Selection in Large Dimensions: The Good, the Better and the Ugly. SSRN Electronic Journal.
Crossref
Tim Bollerslev, Andrew J. Patton & Rogier Quaedvlieg. (2018) Multivariate Leverage Effects and Realized Semicovariance GARCH Models. SSRN Electronic Journal.
Crossref
Diego Brito, Marcelo Cunha Medeiros & Ruy Ribeiro. (2018) Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage. SSRN Electronic Journal.
Crossref
Carlos CCsar Truccos Maza, Luiz Koodi Hotta & Pedro L. Valls Pereira. (2018) On the Robustness of the Principal Volatility Components. SSRN Electronic Journal.
Crossref
Zhongfang He. (2018) A Class of Generalized Dynamic Correlation Models. SSRN Electronic Journal.
Crossref
Olivier Ledoit & Michael Wolf. (2017) Direct Nonlinear Shrinkage Estimation of Large-Dimensional Covariance Matrices. SSRN Electronic Journal.
Crossref
Nikolaus Hautsch & Stefan Voigt. (2017) Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty. SSRN Electronic Journal.
Crossref
Olivier Ledoit, Michael Wolf & Zhao Zhao. (2016) Beyond Sorting: A More Powerful Test for Cross-Sectional Anomalies. SSRN Electronic Journal.
Crossref
Jeroen van Zundert. (2017) A New Test for Cross-Sectional Momentum. SSRN Electronic Journal.
Crossref
Anish R. Shah. (2015) Incorporating Estimates of Error into Linear Factor Covariance Models. SSRN Electronic Journal.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.