Numerical Methods and Optimization in Finance (ePub)

Name: Numerical Methods and Optimization in Finance
Brand: Elsevier Science & Techn.
SKU: 111697967
Price: 196.90 CHF
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(Sprache: Englisch)

Autoren: Manfred Gilli , Dietmar Maringer , Enrico Schumann

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Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically.

This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance.

Introduces numerical methods to readers with economics backgrounds
Emphasizes core simulation and optimization problems
Includes MATLAB and R code for all applications, with sample code in the text and freely available for download

Autoren-Porträt von Manfred Gilli, Dietmar Maringer, Enrico Schumann

Manfred Gilli is Professor emeritus at the Geneva School of Economics and Management at the University of Geneva, Switzerland, where he has taught numerical methods in economics and finance. He is also a Faculty member of the Swiss Finance Institute, a member of the Advisory Board of Computational Statistics and Data Analysis, and a member of the editorial board of Computational Economics. He formerly served as president of the Society for Computational Economics.

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Bibliographische Angaben

Autoren: Manfred Gilli , Dietmar Maringer , Enrico Schumann
2019, 2. Auflage, 638 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128150661
ISBN-13: 9780128150665
Erscheinungsdatum: 16.08.2019

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Dateiformat: ePub
Grösse: 148 MB
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