Simulation and Optimization in Finance
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Link
Cost
Paid
Published
2010
Full Name
Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA
Simulation and Optimization Modeling in Finance is an accessible guide that provides an introduction to the simulation and optimization techniques most widely used in finance. It clarifies difficult concepts in traditional models of uncertainty in finance and teaches you how to build models with software. It highlights not only classical applications but also more recent developments, such as pricing of mortgage-backed securities. Filled with in-depth insights and practical advice, this book offers essential guidance on some of the most important topics in financial management.
This practical guide is divided into five informative parts:
- Part I: Fundamental Concepts - provides insights on the most important issues in finance, simulation, optimization, and optimization under uncertainty
- Part II: Portfolio Optimization and Risk Measures - reviews the theory and practice of equity and fixed income portfolio management
- Part III: Asset Pricing Models - discusses classical static and dynamic models for asset pricing, such as factor models and different types of random walks
- Part IV: Derivative Pricing and Use - introduces important types of financial Derivatives, shows how their value can be determined by simulation and discusses how Derivatives can be employed for portfolio risk management and return enhancement purposes
- Part V: Capital Budgeting Decisions - reviews Capital budgeting decision models and discusses applications of simulation and optimization in Capital budgeting under uncertainty