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Download Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA fb2, epub

by Frank J. Fabozzi,Dessislava A. Pachamanova

Download Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA fb2, epub

ISBN: 0470371897
Author: Frank J. Fabozzi,Dessislava A. Pachamanova
Language: English
Publisher: Wiley; 1 edition (October 5, 2010)
Pages: 896
Category: Software
Subcategory: IT
Rating: 4.5
Votes: 602
Size Fb2: 1539 kb
Size ePub: 1723 kb
Size Djvu: 1666 kb
Other formats: lrf rtf txt azw


In addition, the authors use simulation and optimization as a means to clarify difficult concepts in traditional risk . Pachamanova has written one of the best introductions to Simulation and Optimization methods in finance.

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.

Simulation and Optimization in Finance: Modeling with MATLAB or VBA by Frank J. Fabozzi, Dessislava Pachamanova English ISBN: 0470371897 2010 EPUB 766 pages 13 MB. An introduction to the theory and practice of financial simulation and optimization. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. 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.

Pachamanova has written one of the best introductions to Simulation and Optimization methods in finance. In the second part, the book describes portfolio optimization theory and applications in equity and fixed income markets. This book is highly recommended for business and engineering students who are interested in a career in the quantitative finance industry. The third part focuses on asset pricing models discussing classical and dynamic models.

IN INANCE + Web Site Modeling with MATLAB,, or VB. 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.

Dessislava A. Pachamanova. In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry.

MATLAB,, or VBA, comprehensive introduction to the simulation and optimization techniques most. Dessislava Pachamanova, Babson College Frank J. Fabozzi, Yale School of Management. John Wiley & Sons, In. 2010.

Dessislava Pachamanova, Babson College Frank J. Find full courses and labs. Try the latest economics and computational finance products.

Dessislava Pachamanova, Frank J. Fabozzi. An introduction to the theory and practice of financial simulation and optimization In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Pachamanova, Frank J. John Wiley & Sons, 23 сент.

In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. Dessislava A.

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oceedings{ationAO, title {Simulation and Optimization in Finance: Modeling with MATLAB,, or VBA}, author {Dessislava A. Pachamanova and Frank J. Fabozzi}, year {2010} }.

by Dessislava Pachamanova and Frank J.

An introduction to the theory and practice of financial simulation and optimization

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.

Comments:

Xava
One of the best portfolio management texts I've come across. Great balance between the practical context and the technical details necessary to implement. Would have appreciated some exercises to work through (especially for the more advanced chapters.)
Soustil
Good
Braswyn
Prof.Pachamanova has written one of the best introductions to Simulation and Optimization methods in finance. This book provides a strong theoretical foundation and the website provides a lot of cases and useful hands-on exercises to apply and understand the concepts explained in the book. This book is highly recommended for business and engineering students who are interested in a career in the quantitative finance industry. This book is also recommended to new entrants to the quant finance industry and to financial practitioners who primarily use Excel for quantitative modeling but are interested in building more rigorous models using VBA, @RISK and MATLAB.

This book has the optimal combination of theory and practice. It starts out with a through introduction to statistics, finance and optimization concepts. In the second part, the book describes portfolio optimization theory and applications in equity and fixed income markets. The third part focuses on asset pricing models discussing classical and dynamic models. The fourth section mainly focuses on derivative pricing and provides a very good introduction to Monte-Carlo simulation methods. Topics of current interest such as pricing MBS products are also described in this section. Part five focuses on capital budget decisions and has a very good introduction to real options. The Software hints in each chapter and the supplementary materials on the website help students and practitioners to immediately try out examples and fortify their knowledge.

Prof.Pachamanova's didactic approach and the vast coverage of topics makes this book a must have for new quantitative analysts, business students and engineers interested in a career in finance. As a Financial Modeling consultant who works at MathWorks (the maker of MATLAB), I get a lot of questions on recommendations for books to apply financial theory using computational tools. This book is a gem and would makes great addition to your quantitative investing library.

Full Disclosure: I took a Statistics class with Prof.Pachamanova during my MBA program at Babson College
mr.Mine
I am currently studying a class based on this textbook. Very interesting and helpful textbook. However, the textbook contains many mistakes both in text, formulas, and in MATLAB codes (in every single chapter). That is why I give 3 stars. Perhaps, the textbook was not properly proofread before it was published. I remember the price was about $160 for the textbook 3 months ago and now it is just $79. Would not recommend this book for beginners.
Kamick
Only 3 stars because the book is good but poor in content especially for the applications.
Each theme is treated with superficiality. More properly this book is an introduction.

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