Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA
In recent years, there has been a notable increase in the use of simulation and optimization methods in risk management, portfolio allocation, asset pricing, derivatives pricing, and capital budgeting under uncertainty.WithSimulation and Optimization in Financeand its companion Web site, authors Dessislava Pachamanova and Frank Fabozzi explain the application of these tools for both financial professionals and academics in this field.Divided into five comprehensive parts, this reliable guide provides an accessible introduction to the simulation and optimization techniques most widely used in finance, while offering fundamental background information on the financial concepts surrounding these techniques.In addition, the authors use simulation and optimization as a means to clarify difficult concepts in traditional risk models in finance, and explain how to build financial models with certain software. They review current simulation and optimization methodologies—along with the available software—and proceed with portfolio risk management, modeling of random processes, pricing of financial derivatives, and capital budgeting applications.Designed for practitioners and students, this book:Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with softwareHighlights both classical applications and more recent developments such as pricing of mortgage-backed securitiesIncludes models and code in both spreadsheet-based software (@RISK, Solver, and VBA) and mathematical modeling software (MATLAB)Incorporates a companion Web site containing ancillary materials, including the models and code used in the book, appendices with introductions to the software, and practice sectionsAnd much moreFilled with in-depth insights and practical advice,Simulation and Optimization in Financeoffers essential guidance on some of the most important topics in financial management.