Simulation and Optimization in Finance + Website: Modeling with MATLAB, @Risk, or VBA (Hardcover)

In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty.

This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications.

• Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software
• Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities
• Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB)

Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.

金融模擬和優化理論與實踐介紹

近年來，金融業中模擬和優化方法的使用顯著增加。應用包括投資組合配置、風險管理、定價和不確定情況下的資本預算。本易於理解的指南介紹了金融中最廣泛使用的模擬和優化技術，同時提供了這些應用中的金融概念背景。此外，它澄清了金融中傳統不確定性模型中的困難概念，並教你如何使用軟件建立模型。它通過回顧當前的模擬和優化方法以及可用的軟件，並進行投資組合風險管理、隨機過程建模、金融衍生品定價和實物選擇應用。

- 包含金融理論和嚴謹的數學建模的獨特結合，強調通過軟件實施的實踐方法
- 不僅突出了傳統應用，還包括最新發展，如抵押支持證券定價
- 包括基於電子表格軟件（@RISK、Solver、Evolver、VBA）和數學建模軟件（MATLAB）的模型和代碼

充滿深入見解和實用建議，《金融中的模擬和優化建模》提供了金融管理中一些最重要主題的基本指導。