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  • Search: subject:"Cyclical coordinate descent"
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Year of publication
Subject
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Cyclical coordinate descent 2 Portfolio selection 2 Portfolio-Management 2 Risk parity 2 Theorie 2 Theory 2 Bayes-Statistik 1 Bayesian inference 1 Bayesian modelling 1 Business cycle 1 ERC portfolio 1 Equal risk contribution 1 Konjunktur 1 Mean Reversion 1 Mean reversion 1 Newton method 1 Risiko 1 Risikomanagement 1 Risk 1 Risk management 1 Sparse portfolio 1 cyclical coordinate descent algorithm 1 lasso 1 risk budgeting 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
All
English 2 Undetermined 1
Author
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Calderhead, Ben 1 Chen, Rong 1 Choi, Jaehyuk 1 Griveau-Billion, T. 1 Griveau-Billion, Théophile 1 Richard, Jean-Charles 1 Roncalli, Thierry 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Journal of derivatives and quantitative studies : Seonmul yeongu 1 MPRA Paper 1 Quantitative finance 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
Cover Image
Improved iterative methods for solving risk parity portfolio
Choi, Jaehyuk; Chen, Rong - In: Journal of derivatives and quantitative studies : … 30 (2022) 2, pp. 114-124
study improves two existing iterative methods: the cyclical coordinate descent (CCD) and Newton methods. The authors enhance …
Persistent link: https://www.econbiz.de/10013202393
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Efficient computation of mean reverting portfolios using cyclical coordinate descent
Griveau-Billion, T.; Calderhead, Ben - In: Quantitative finance 21 (2021) 4, pp. 673-684
Persistent link: https://www.econbiz.de/10012483845
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A Fast Algorithm for Computing High-dimensional Risk Parity Portfolios
Griveau-Billion, Théophile; Richard, Jean-Charles; … - Volkswirtschaftliche Fakultät, … - 2013
In this paper we propose a cyclical coordinate descent (CCD) algorithm for solving high dimensional risk parity …
Persistent link: https://www.econbiz.de/10011111212
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