sparseIndexTracking-package: sparseIndexTracking: Design of Portfolio of Stocks to Track...

In dppalomar/sparseIndexTracking: Design of Portfolio of Stocks to Track an Index

sparseIndexTracking: Design of Portfolio of Stocks to Track an Index

Description

Computation of sparse portfolios for financial index tracking, i.e., joint selection of a subset of the assets that compose the index and computation of their relative weights (capital allocation). The level of sparsity of the portfolios, i.e., the number of selected assets, is controlled through a regularization parameter. Different tracking measures are available, namely, the empirical tracking error (ETE), downside risk (DR), Huber empirical tracking error (HETE), and Huber downside risk (HDR). See vignette for a detailed documentation and comparison, with several illustrative examples.

Functions

spIndexTrack

Help

For a quick help see the README file: CRAN-README and GitHub-README.

For more details see the vignette: CRAN-html-vignette, CRAN-pdf-vignette, GitHub-html-vignette, and GitHub-pdf-vignette.

Author(s)

Konstantinos Benidis and Daniel P. Palomar

References

K. Benidis, Y. Feng, and D. P. Palomar, "Sparse Portfolios for High-Dimensional Financial Index Tracking," IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 155-170, Jan. 2018.

dppalomar/sparseIndexTracking documentation built on June 29, 2023, 8:42 p.m.