This book describes computational finance tools. It covers fundamental numerical analysis and computational techniques, such as option pricing, and gives special attention to simulation and optimization. Many chapters are organized as case studies around portfolio insurance and risk estimation probl
Numerical Methods and Optimization in Finance
✍ Scribed by Manfred Gilli; Dietmar Maringer; Enrico Schumann
- Publisher
- Academic Press
- Year
- 2019
- Tongue
- English
- Leaves
- 640
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
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 Financepresents 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.
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