A well conditioned estimator for large dimensional covariance matrices
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Ledoit, Olivier & Wolf, Michael, 2004. "A well-conditioned estimator for large-dimensional covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 88(2), pages 365-411, February.
References listed on IDEAS
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
- Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
- Silverstein, J. W., 1995. "Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices," Journal of Multivariate Analysis, Elsevier, vol. 55(2), pages 331-339, November.
- Frost, Peter A. & Savarino, James E., 1986. "An Empirical Bayes Approach to Efficient Portfolio Selection," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(3), pages 293-305, September.
- Vinod, H. D., 1982. "Maximum entropy measurement error estimates of singular covariance matrices in undersized samples," Journal of Econometrics, Elsevier, vol. 20(2), pages 163-174, November.
- Crack, Timothy Falcon & Ledoit, Olivier, 1996. "Robust Structure without Predictability: The "Compass Rose" Pattern of the Stock Market," Journal of Finance, American Finance Association, vol. 51(2), pages 751-762, June.
- Yin, Y. Q., 1986. "Limiting spectral distribution for a class of random matrices," Journal of Multivariate Analysis, Elsevier, vol. 20(1), pages 50-68, October.
- Kandel, Shmuel & Stambaugh, Robert F, 1995.
"Portfolio Inefficiency and the Cross-Section of Expected Returns,"
Journal of Finance, American Finance Association, vol. 50(1), pages 157-184, March.
- Shmuel Kandel & Robert F. Stambaugh, 1994. "Portfolio Inefficiency and the Cross-Section of Expected Returns," NBER Working Papers 4702, National Bureau of Economic Research, Inc.
- Brown, Stephen J, 1989. " The Number of Factors in Security Returns," Journal of Finance, American Finance Association, vol. 44(5), pages 1247-1262, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Joel Bun & Jean-Philippe Bouchaud & Marc Potters, 2016. "Cleaning large correlation matrices: tools from random matrix theory," Papers 1610.08104, arXiv.org.
- Michael W. Brandt & Pedro Santa-Clara & Rossen Valkanov, 2009.
"Parametric Portfolio Policies: Exploiting Characteristics in the Cross-Section of Equity Returns,"
The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3411-3447, September.
- Michael W. Brandt & Pedro Santa-Clara & Rossen Valkanov, 2004. "Parametric Portfolio Policies: Exploiting Characteristics in the Cross Section of Equity Returns," NBER Working Papers 10996, National Bureau of Economic Research, Inc.
- Brandt, Michael W & Santa-Clara, Pedro & Valkanov, Rossen, 2005. "Parametric Portfolio Policies: Exploiting Characteristics in the Cross Section of Equity Returns," University of California at Los Angeles, Anderson Graduate School of Management qt4ft420b6, Anderson Graduate School of Management, UCLA.
- Fletcher, Jonathan, 2011. "Do optimal diversification strategies outperform the 1/N strategy in U.K. stock returns?," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 375-385.
- Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2018.
"Estimation of the global minimum variance portfolio in high dimensions,"
European Journal of Operational Research, Elsevier, vol. 266(1), pages 371-390.
- Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2014. "Estimation of the Global Minimum Variance Portfolio in High Dimensions," Papers 1406.0437, arXiv.org, revised Nov 2015.
- Ando, Tomohiro, 2009. "Bayesian portfolio selection using a multifactor model," International Journal of Forecasting, Elsevier, vol. 25(3), pages 550-566, July.
- Robert F. Engle & Olivier Ledoit & Michael Wolf, 2019.
"Large Dynamic Covariance Matrices,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 363-375, April.
- Robert F. Engle & Olivier Ledoit & Michael Wolf, 2016. "Large dynamic covariance matrices," ECON - Working Papers 231, Department of Economics - University of Zurich, revised Apr 2017.
- Ledoit, Olivier & Wolf, Michael, 2003.
"Improved estimation of the covariance matrix of stock returns with an application to portfolio selection,"
Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
- Ledoit, Olivier & Wolf, Michael, 2000. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," DES - Working Papers. Statistics and Econometrics. WS 10089, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Olivier Ledoit & Michael Wolf, 2001. "Improved estimation of the covariance matrix of stock returns with an application to portofolio selection," Economics Working Papers 586, Department of Economics and Business, Universitat Pompeu Fabra.
- Bodnar, Taras & Gupta, Arjun K. & Parolya, Nestor, 2016. "Direct shrinkage estimation of large dimensional precision matrix," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 223-236.
- Merlevède, F. & Peligrad, M., 2016. "On the empirical spectral distribution for matrices with long memory and independent rows," Stochastic Processes and their Applications, Elsevier, vol. 126(9), pages 2734-2760.
- Carmine De Franco & Johann Nicolle & Huy^en Pham, 2018. "Bayesian learning for the Markowitz portfolio selection problem," Papers 1811.06893, arXiv.org.
- Louis K.C. Chan & Jason Karceski & Josef Lakonishok, 1999. "On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model," NBER Working Papers 7039, National Bureau of Economic Research, Inc.
- Greyserman, Alex & Jones, Douglas H. & Strawderman, William E., 2006. "Portfolio selection using hierarchical Bayesian analysis and MCMC methods," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 669-678, February.
- Marco Taboga, 2014.
"The Riskiness of Corporate Bonds,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 693-713, June.
- Marco Taboga, 2009. "The riskiness of corporate bonds," Temi di discussione (Economic working papers) 730, Bank of Italy, Economic Research and International Relations Area.
- Bauder, David & Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2020.
"Bayesian inference of the multi-period optimal portfolio for an exponential utility,"
Journal of Multivariate Analysis, Elsevier, vol. 175(C).
- David Bauder & Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2017. "Bayesian Inference of the Multi-Period Optimal Portfolio for an Exponential Utility," Papers 1705.06533, arXiv.org.
- Peñaranda, Francisco & Sentana, Enrique, 2012.
"Spanning tests in return and stochastic discount factor mean–variance frontiers: A unifying approach,"
Journal of Econometrics, Elsevier, vol. 170(2), pages 303-324.
- Francisco Peñaranda & Enrique Sentana, 2004. "Spanning Tests in Return and Stochastic Discount Factor Mean-Variance Frontiers: A Unifying Approach," Working Papers wp2004_0410, CEMFI.
- Francisco Peñaranda & Enrique Sentana, 2008. "Spanning tests in return and stochastic discount factor mean-variance frontiers: A unifying approach," Economics Working Papers 1101, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2010.
- Enrique Sentana & Francisco Penaranda, 2004. "Spanning Tests in Return and Stochastic Discount Factor Mean-Variance Frontiers: A Unifying Approach," FMG Discussion Papers dp497, Financial Markets Group.
- Sentana, Enrique & Peñaranda, Francisco, 2004. "Spanning Tests in Return and Stochastic Discount Factor Mean Variance Frontiers: A Unifying Approach," CEPR Discussion Papers 4422, C.E.P.R. Discussion Papers.
- Alexander Bade & Gabriel Frahm & Uwe Jaekel, 2009. "A general approach to Bayesian portfolio optimization," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 70(2), pages 337-356, October.
- Wang, Christina Dan & Chen, Zhao & Lian, Yimin & Chen, Min, 2022. "Asset selection based on high frequency Sharpe ratio," Journal of Econometrics, Elsevier, vol. 227(1), pages 168-188.
- Huanchao Zhou & Zhidong Bai & Jiang Hu, 2023. "The Limiting Spectral Distribution of Large-Dimensional General Information-Plus-Noise-Type Matrices," Journal of Theoretical Probability, Springer, vol. 36(2), pages 1203-1226, June.
- John Y. Campbell, 2000.
"Asset Pricing at the Millennium,"
Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
- John Y. Campbell, 2000. "Asset Pricing at the Millennium," Harvard Institute of Economic Research Working Papers 1897, Harvard - Institute of Economic Research.
- Campbell, John, 2000. "Asset Pricing at the Millennium," Scholarly Articles 3294737, Harvard University Department of Economics.
- John Y. Campbell, 2000. "Asset Pricing at the Millennium," NBER Working Papers 7589, National Bureau of Economic Research, Inc.
- Olivier Ledoit & Michael Wolf, 2017. "Analytical nonlinear shrinkage of large-dimensional covariance matrices," ECON - Working Papers 264, Department of Economics - University of Zurich, revised Nov 2018.
More about this item
Keywords
Covariance matrix estimation;Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cte:wsrepe:10087. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Poveda (email available below). General contact details of provider: http://portal.uc3m.es/portal/page/portal/dpto_estadistica .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.