Carte Quantitative Portfolio Optimization Julian Camarena

Quantitative Portfolio Optimization

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Legare: Copertă tare
Disponibilitate: În depozitul extern în cantități mici
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359.90 lei
Expert guidance on implementing quantitative portfolio optimization techniques In Quantitative Portf...

Informații despre carte

Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2024
Pagini
384
EAN
9781394281312
ISBN
1394281315
Enbook ID
45978742
Greutate
690

Descriere completă

Expert guidance on implementing quantitative portfolio optimization techniques In Quantitative Portfolio Optimization: Theory and Practice, renowned financial practitioner Miquel Noguer, alongside physicists Alberto Bueno Guerrero and Julian Antolin Camarena, who possess excellent knowledge in finance, delve into advanced mathematical techniques for portfolio optimization. The book covers a range of topics including mean-variance optimization, the Black-Litterman Model, risk parity and hierarchical risk parity, factor investing, methods based on moments, and robust optimization as well as machine learning and reinforcement technique. These techniques enable readers to develop a systematic, objective, and repeatable approach to investment decision-making, particularly in complex financial markets. Readers will gain insights into the associated mathematical models, statistical analyses, and computational algorithms for each method, allowing them to put these techniques into practice and identify the best possible mix of assets to maximize returns while minimizing risk. Topics explored in this book include: Specific drivers of return across asset classesPersonal risk tolerance and it#s impact on ideal asses allocationThe importance of weekly and monthly variance in the returns of specific securities Serving as a blueprint for solving portfolio optimization problems, Quantitative Portfolio Optimization: Theory and Practice is an essential resource for finance practitioners and individual investors It helps them stay on the cutting edge of modern portfolio theory and achieve the best returns on investments for themselves, their clients, and their organizations.

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