Numerical methods and optimization techniques books
Numerical Methods and Optimization | An Introduction | Taylor & Francis GroupIn particular, several chapters explain optimization heuristics and how to use them for portfolio selection and in calibration of estimation and option pricing models. Such practical examples allow readers to learn the steps for solving specific problems and apply these steps to others. At the same time, the applications are relevant enough to make the book a useful reference. Matlab and R sample code is provided in the text and can be downloaded from the book's website. Graduate students studying quantitative or computational finance, as well as finance professionals, especially in banking and insurance. 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.
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Skip to content. Search for books, journals or webpages Basic Methods Publisher Summary For Instructors Request Inspection Copy.Reviews 0. For regional delivery times, please check When will I receive my book. The student resources previously accessed via GarlandScience. Calibrating Option Pricing Models.
Hot Network Questions. Imprint: Academic Press. Portfolio Manager at a large Swiss pension fund. Portfolio Manager at a large Swiss pension fund.
Although this book is out of date now, as an introduction the writing style is just about perfect and in this field you have to build up your intuitions, starting from.
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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.
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When you read an eBook on VitalSource Bookshelf, highlights and notes sync across all your devices Smart study tools such as note sharing and subscr. The presentations are clear and the models are practical these are the two ingredients that make for a valuable book in this field. Modeling Dependencies 8. For Instructors Request Inspection Copy.