CovRegpy 0.0.7
pip install CovRegpy
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Regularised covariance regression software based on Hoff and Niu (2012).
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- License: Free for non-commercial use (cc-by-nc-4.0)
- Author: Cole van Jaarsveldt
- Tags Portfolio Optimisation, Regularised Covariance Regression (RCR), Empirical Mode Decomposition (EMD), Singular Spectrum Analysis (SSA), Singular Spectrum Decomposition (SSD), X11, Implicit Factors, Risk Premia Parity, Risk Parity, Long\Short Equity
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Python CovRegpy Package
Regularised covariance regression software based on Hoff and Niu (2012) - see https://arxiv.org/pdf/1102.5721.
This package was developed out of research performed by Cole van Jaarsveldt, Gareth W. Peters, Matthew Ames, and Mike Chantler. This package was built entirely using Python 3.11.5 - Python guarantees backwards compatibility which should ensure that this software package functions as expected on all future Python versions. See:
van Jaarsveldt, C., Peters, G., Ames, M., & Chantler, M. (2024) Package CovRegpy: Regularized covariance regression and forecasting in Python. Annals of Actuarial Science, First View. doi:10.1017/S1748499524000101 url: https://dx.doi.org/10.1017/S1748499524000101
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Unverified details
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- License: Free for non-commercial use (cc-by-nc-4.0)
- Author: Cole van Jaarsveldt
- Tags Portfolio Optimisation, Regularised Covariance Regression (RCR), Empirical Mode Decomposition (EMD), Singular Spectrum Analysis (SSA), Singular Spectrum Decomposition (SSD), X11, Implicit Factors, Risk Premia Parity, Risk Parity, Long\Short Equity
Classifiers
- Development Status
- Intended Audience
- License
- Programming Language
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