Regression techniques for Portfolio Optimisation using MOSEK
AbstractRegression is widely used by practioners across many disciplines. We reformulate the underlying optimisation problem as a second-order conic program providing the flexibility often needed in applications. Using examples from portfolio management and quantitative trading we solve regression problems with and without constraints. Several Python code fragments are given. The code and data are available online at http://www.github.com/tschm/MosekRegression.
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Bibliographic InfoPaper provided by arXiv.org in its series Papers with number 1310.3397.
Date of creation: Oct 2013
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Web page: http://arxiv.org/
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-10-18 (All new papers)
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