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  • 1
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almafu_BV024620820
    Format: XII, 345 S. : , graph. Darst.
    ISBN: 978-0-521-86170-0 , 0-521-86170-5
    Series Statement: Mathematics, finance and risk 5
    Note: Hier auch später erschienene, unveränderte Nachdrucke
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Finanzierung ; Optimierung
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    UID:
    gbv_883324733
    Format: 1 Online-Ressource (xii, 345 pages)
    ISBN: 9780511753886
    Series Statement: Mathematics, finance, and risk 5
    Content: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses
    Content: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015)
    Additional Edition: ISBN 9780521861700
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780521861700
    Language: English
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Cambridge Univ. Press :Cambridge,
    UID:
    kobvindex_ZIB000013314
    Format: XII, 345 S. : , graph. Darst.
    ISBN: 978-0-521-86170-0 , 0-521-86170-5
    Series Statement: Mathematics, finance and risk
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almahu_BV025584076
    Format: XII, 345 S. : , graph. Darst.
    Edition: 1. publ., repr.
    ISBN: 0-521-86170-5
    Series Statement: Mathematics, finance and risk 5
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Finanzierung ; Optimierung
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9947413945702882
    Format: 1 online resource (xii, 345 pages) : , digital, PDF file(s).
    ISBN: 9780511753886 (ebook)
    Series Statement: Mathematics, finance, and risk ; 5
    Content: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction -- Linear programming : theory and algorithms -- LP models : asset/liability cash-flow matching -- LP models : asset pricing and arbitage -- Nonlinear programming : theory and algorithms -- NLP models : volatility estimation -- Quadratic programming : theory and algorithms -- QP models : portfolio optimization -- Conic optimization tools -- Conic optimization models in finance -- Integer programming : theory and algorithms -- Integer programming models : constructing an index fund -- Dynamic programming methods -- DP models : option pricing -- DP models : structuring asset-backed securities -- Stochastic programming : theory and algorithms -- Stochastic programming models : value-at-risk and conditional value-at-risk -- Stochastic programming models : asset/liability management -- Robust optimization : theory and tools -- Robust optimization models in finance.
    Additional Edition: Print version: ISBN 9780521861700
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948233546102882
    Format: 1 online resource (xii, 345 pages) : , digital, PDF file(s).
    ISBN: 9780511753886 (ebook)
    Series Statement: Mathematics, finance, and risk ; 5
    Content: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction -- Linear programming : theory and algorithms -- LP models : asset/liability cash-flow matching -- LP models : asset pricing and arbitage -- Nonlinear programming : theory and algorithms -- NLP models : volatility estimation -- Quadratic programming : theory and algorithms -- QP models : portfolio optimization -- Conic optimization tools -- Conic optimization models in finance -- Integer programming : theory and algorithms -- Integer programming models : constructing an index fund -- Dynamic programming methods -- DP models : option pricing -- DP models : structuring asset-backed securities -- Stochastic programming : theory and algorithms -- Stochastic programming models : value-at-risk and conditional value-at-risk -- Stochastic programming models : asset/liability management -- Robust optimization : theory and tools -- Robust optimization models in finance.
    Additional Edition: Print version: ISBN 9780521861700
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    edocfu_9959241484502883
    Format: 1 online resource (xii, 345 pages) : , digital, PDF file(s).
    ISBN: 1-107-16829-5 , 1-139-63738-X , 1-280-74928-8 , 0-511-26071-7 , 0-511-26128-4 , 0-511-25948-4 , 0-511-32005-1 , 0-511-75388-8 , 0-511-26015-6
    Series Statement: Mathematics, finance, and risk
    Content: Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction -- Linear programming : theory and algorithms -- LP models : asset/liability cash-flow matching -- LP models : asset pricing and arbitage -- Nonlinear programming : theory and algorithms -- NLP models : volatility estimation -- Quadratic programming : theory and algorithms -- QP models : portfolio optimization -- Conic optimization tools -- Conic optimization models in finance -- Integer programming : theory and algorithms -- Integer programming models : constructing an index fund -- Dynamic programming methods -- DP models : option pricing -- DP models : structuring asset-backed securities -- Stochastic programming : theory and algorithms -- Stochastic programming models : value-at-risk and conditional value-at-risk -- Stochastic programming models : asset/liability management -- Robust optimization : theory and tools -- Robust optimization models in finance. , English
    Additional Edition: ISBN 9786610749287
    Additional Edition: ISBN 0-521-86170-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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