- Hardcover: 320 pages
- Publisher: John Wiley & Sons (16 Mar 1994)
- Language English
- ISBN-10: 0471576794
- ISBN-13: 978-0471576792
- Product Dimensions: 23.6 x 16.2 x 3.1 cm
- Average Customer Review: 2.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 2,109,450 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
When you combine nature′s efficiency and the computer′s speed, the financial possibilities are almost limitless. Today′s traders and investment analysts require faster, sleeker weaponry in today′s ruthless financial marketplace. Battles are now waged at computer speed, with skirmishes lasting not days or weeks, but mere hours. In his series of influential articles, Richard Bauer has shown why these professionals must add new computerized decision–making tools to their arsenal if they are to succeed. In Genetic Algorithms and Investment Strategies, he uniquely focuses on the most powerful weapon of all, revealing how the speed, power, and flexibility of GAs can help them consistently devise winning investment strategies. The only book to demonstrate how GAs can work effectively in the world of finance, it first describes the biological and historical bases of GAs as well as other computerized approaches such as neural networks and chaos theory. It goes on to compare their uses, advantages, and overall superiority of GAs. In subsequently presenting a basic optimization problem, Genetic Algorithms and Investment Strategies outlines the essential steps involved in using a GA and shows how it mimics nature′s evolutionary process by moving quickly toward a near–optimal solution. Introduced to advanced variations of essential GA procedures, readers soon learn how GAs can be used to:
∗ Solve large, complex problems and smaller sets of problems
∗ Serve the needs of traders with widely different investment philosophies
∗ Develop sound market timing trading rules in the stock and bond markets
∗ Select profitable individual stocks and bonds
∗ Devise powerful portfolio management systems
Complete with information on relevant software programs, a glossary of GA terminology, and an extensive bibliography covering computerized approaches and market timing, Genetic Algorithms and Investment Strategies unveils in clear, nontechnical language a remarkably efficient strategic decision–making process that, when imaginatively used, enables traders and investment analysts to reap significant financial rewards.
∗ Solve large, complex problems and smaller sets of problems
∗ Serve the needs of traders with widely different investment philosophies
∗ Develop sound market timing trading rules in the stock and bond markets
∗ Select profitable individual stocks and bonds
∗ Devise powerful portfolio management systems
Complete with information on relevant software programs, a glossary of GA terminology, and an extensive bibliography covering computerized approaches and market timing, Genetic Algorithms and Investment Strategies unveils in clear, nontechnical language a remarkably efficient strategic decision–making process that, when imaginatively used, enables traders and investment analysts to reap significant financial rewards.
From the Back Cover
When you combine nature’s efficiency and the computer’s speed, the financial possibilities are almost limitless. Today’s traders and investment analysts require faster, sleeker weaponry in today’s ruthless financial marketplace. Battles are now waged at computer speed, with skirmishes lasting not days or weeks, but mere hours. In his series of influential articles, Richard Bauer has shown why these professionals must add new computerized decision–making tools to their arsenal if they are to succeed. In Genetic Algorithms and Investment Strategies, he uniquely focuses on the most powerful weapon of all, revealing how the speed, power, and flexibility of GAs can help them consistently devise winning investment strategies. The only book to demonstrate how GAs can work effectively in the world of finance, it first describes the biological and historical bases of GAs as well as other computerized approaches such as neural networks and chaos theory. It goes on to compare their uses, advantages, and overall superiority of GAs. In subsequently presenting a basic optimization problem, Genetic Algorithms and Investment Strategies outlines the essential steps involved in using a GA and shows how it mimics nature’s evolutionary process by moving quickly toward a near–optimal solution. Introduced to advanced variations of essential GA procedures, readers soon learn how GAs can be used to:
- Solve large, complex problems and smaller sets of problems
- Serve the needs of traders with widely different investment philosophies
- Develop sound market timing trading rules in the stock and bond markets
- Select profitable individual stocks and bonds
- Devise powerful portfolio management systems
Inside This Book
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First Sentence
The investments game is changing. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
The investments game is changing. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
2 of 2 people found the following review helpful
Format:Hardcover
The author presents a general introduction into ga's , then moves over to investment strategies and presents solutions.
Unfortunately, he does NOT give background information on the really interesting things like string patterns used, crossover and fitness function and the like. Futhermore, more than one third of the book is filled with endless tables whose content the reader understands after the first table. I guess it makes for a larger book.
conclusion: very disappointing.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4 reviews
24 of 27 people found the following review helpful
Does not provide what it promises to
10 Mar 1998
Format:Hardcover
The author presents a general introduction into ga's , then moves over to investment strategies and presents solutions.
Unfortunately, he does NOT give background information on the really interesting things like string patterns used, crossover and fitness function and the like. Futhermore, more than one third of the book is filled with endless tables whose content the reader understands after the first table. I guess it makes for a larger book.
conclusion: very disappointing.
5 of 5 people found the following review helpful
Good book for decision maker, bad book for the algorithm designer
11 Mar 2007
Format:Hardcover
For a project decision maker trying to evaluate the genetic algorithm approach, this book helps to understand the main concepts. It is a great for anyone who wants ideas to help evaluate the potentials and shortcomings of a GA system without getting mixed up in the math and details. It includes comparisons to chaos theory and neural nets.
For programmers looking implement code, or data administrators looking for the right data feeds, however, this book might be a frustrating tease. The book is full of examples such as mentioning the selection of "10 parameters from a possible 150 macroeconomic variables", but never says what the parameters are. The book is still useful. A little patience with this book might yield some great ideas although the author didn't directly communicate it. Never the less, just one small idea could easily pay for this book many many times over. For the pure IT developer, I highly recommend "Neural Networks in Finance and Investing" by Trippi & Turban instead which includes documented code and examples on a disk.
For programmers looking implement code, or data administrators looking for the right data feeds, however, this book might be a frustrating tease. The book is full of examples such as mentioning the selection of "10 parameters from a possible 150 macroeconomic variables", but never says what the parameters are. The book is still useful. A little patience with this book might yield some great ideas although the author didn't directly communicate it. Never the less, just one small idea could easily pay for this book many many times over. For the pure IT developer, I highly recommend "Neural Networks in Finance and Investing" by Trippi & Turban instead which includes documented code and examples on a disk.
2 of 2 people found the following review helpful
Héctor Rico
15 Jan 2008
Format:Hardcover
If you are looking for practical applications of this kind of algoritmicts do not buy this book. The 50% of the book are data tables, it would be better buying a cd-rom with all those data and the book had 200 less pages. A better choice than this book is "Trading on the edge" or "Neural networks for finance".
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