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OverviewFull Product DetailsAuthor: Manfred Gilli (University of Geneva, Geneva School of Economics and Management (GSEM) and Swiss Finance Institute) , Dietmar Maringer (University of Basel and University of Geneva, Switzerland) , Enrico Schumann (Portfolio Manager at a large Swiss pension fund)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Dimensions: Width: 15.20cm , Height: 2.80cm , Length: 22.90cm Weight: 0.910kg ISBN: 9780123756626ISBN 10: 0123756626 Pages: 600 Publication Date: 25 August 2011 Audience: Adult education , Further / Higher Education Replaced By: 9780128150658 Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction I. Fundamentals 2. Numerical Analysis in a Nutshell 3. Linear Equations and Least-Squares Problems 4. Finite Difference Methods 5. Binomial Trees II Simulation 6. Generating Random Numbers 7. Modelling Dependencies 8. A Gentle Introduction to Financial Simulation 9. Financial Simulation at Work: Some Case Studies III Optimization 10. Optimization Problems in Finance 11. Basic Methods 12. Heuristic Methods in a Nutshell 13. Portfolio Optimization 14. Econometric Models 15. Calibrating Option Pricing ModelsReviewsWith as much rigor as can be mastered by anyone in the still-developing field of computational finance and a sense of humor, the authors unravel its mysteries. The presentations are clear and the models are practical --- these are the two ingredients that make for a valuable book in this field. The book is both practical in scope and rigorous on its theoretical foundations. It is a must for anyone who needs to apply quantitative methods for financial planning --- and who doesn't need to in our days? Stavros A. Zenios, University of Cyprus and the Wharton Financial Institutions Center 'Numerical Methods and Optimization in Finance' is an excellent introduction to computational science. The combination of methodology, software, and examples allows the reader to quickly grasp and apply serious computational ideas. Kenneth L. Judd, Hoover Institution, Stanford University This book aims at providing guidance which is practical and useful for practitioners in finance with emphasis on computational techniques which are manageable by modern day desktop personal computers' processing power when building, testing, comparing and using mathematical and econometric models of finance in the pursuit of analysis of actual financial market data in day to day activities of financial analysts, be they students of courses in finance programs or analysts in financial institutions. --Zentralblatt MATH 2012-1236-91001 With as much rigor as can be mastered by anyone in the still-developing field of computational finance and a sense of humor, the authors unravel its mysteries. The presentations are clear and the models are practical --- these are the two ingredients that make for a valuable book in this field. The book is both practical in scope and rigorous on its theoretical foundations. It is a must for anyone who needs to apply quantitative methods for financial planning --- and who doesn't need to in our days? --Stavros A. Zenios, University of Cyprus and the Wharton Financial Institutions Center Numerical Methods and Optimization in Finance is an excellent introduction to computational science. The combination of methodology, software, and examples allows the reader to quickly grasp and apply serious computational ideas. --Kenneth L. Judd, Hoover Institution, Stanford University Author InformationVIP Value Investment Professionals, Switzerland Tab Content 6Author Website:Countries AvailableAll regions |