Linear and Mixed Integer Programming for Portfolio Optimization

This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models f...

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Những tác giả chính: Mansini, Renata, Ogryczak, Włodzimierz, Speranza, M
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2015
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59449
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spelling oai:scholar.dlu.edu.vn:DLU123456789-594492023-11-11T06:40:41Z Linear and Mixed Integer Programming for Portfolio Optimization Mansini, Renata Ogryczak, Włodzimierz Speranza, M Integer programming Linear programming Mathematical models Portfolio management This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples. 2015-12-15T02:11:47Z 2015-12-15T02:11:47Z 2015 Book 978-3-319-18482-1 978-3-319-18481-4 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59449 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Integer programming
Linear programming
Mathematical models
Portfolio management
spellingShingle Integer programming
Linear programming
Mathematical models
Portfolio management
Mansini, Renata
Ogryczak, Włodzimierz
Speranza, M
Linear and Mixed Integer Programming for Portfolio Optimization
description This book presents solutions to the general problem of single period portfolio optimization. It introduces different linear models, arising from different performance measures, and the mixed integer linear models resulting from the introduction of real features. Other linear models, such as models for portfolio rebalancing and index tracking, are also covered. The book discusses computational issues and provides a theoretical framework, including the concepts of risk-averse preferences, stochastic dominance and coherent risk measures. The material is presented in a style that requires no background in finance or in portfolio optimization; some experience in linear and mixed integer models, however, is required. The book is thoroughly didactic, supplementing the concepts with comments and illustrative examples.
format Book
author Mansini, Renata
Ogryczak, Włodzimierz
Speranza, M
author_facet Mansini, Renata
Ogryczak, Włodzimierz
Speranza, M
author_sort Mansini, Renata
title Linear and Mixed Integer Programming for Portfolio Optimization
title_short Linear and Mixed Integer Programming for Portfolio Optimization
title_full Linear and Mixed Integer Programming for Portfolio Optimization
title_fullStr Linear and Mixed Integer Programming for Portfolio Optimization
title_full_unstemmed Linear and Mixed Integer Programming for Portfolio Optimization
title_sort linear and mixed integer programming for portfolio optimization
publisher Springer
publishDate 2015
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59449
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