Assets / Correlation Matrix Estimation
Clustering-Based Shrunk Empirical Correlation Matrix
Compute a clustering-based linearly shrunk empirical asset correlation matrix, which is a convex combination of the empirical correlation matrix of these assets' and a clustering-based target correlation matrix.
The available clustering-based target correlation matrices are the same as those available in the endpoint /assets/correlation/matrix/estimation/empirical/shrunk, extended to a clustering-based context.
References
- Olivier Ledoit, Michael Wolf, The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation, Journal of Financial Econometrics, Volume 20, Issue 1, Winter 2022, Pages 187–218
- Gianluca De Nard, Oops! I Shrunk the Sample Covariance Matrix Again: Blockbuster Meets Shrinkage, Journal of Financial Econometrics, Volume 20, Issue 4, Fall 2022, Pages 569–611
- Kwan, Clarence C. Y. (2017) Shrinkage of the Sample Correlation Matrix of Returns Towards a Constant Correlation Target: A Pedagogic Illustration Based on Dow Jones Stock Returns, Spreadsheets in Education (eJSiE): Vol. 10: Iss. 1, Article 3
- S. Begusic and Z. Kostanjcar, "Cluster-Based Shrinkage of Correlation Matrices for Portfolio Optimization," 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia, 2019, pp. 301-305
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