Investing in Mutual Funds Using Fuzzy Logic [Hardcover]

Kurt Peray (Author)

Book Description

Publication Date: June 25, 1999

Fuzzy Logic is an analytical tool used in the modeling of those phenomena that fall outside the scope of exact sciences. It is used in the analysis of complex and highly nonlinear processes, where mathematical models or standard classic logic cannot define conditions inherent to such processes, e.g. human thinking.
Kurt Peray's detailed analysis of the new approaches and techniques for Risk Control and Portfolio Asset Allocation - which uses the principles of Fuzzy Logic - helps you to make decisions as to when to buy, hold or sell. While making independent and educated decisions, you will be able to hedge your portfolio from the volatile forces in the market, and will offset the erosive impact of inflation and taxation.
In this electronic age, investors have quick access to important information relevant to the decision process. The guidelines and formulas that serve as foundations to the Fuzzy Logic approach gives you the ability to build customized programs.
Investing in Mutual Funds Using Fuzzy Logic is for the individual who wants to invest in financial instruments that will provide a return for growth. With the investment approach he devised, Peray guides the you towards achieving your investment goals.

Product Details

• Hardcover: 256 pages
• Publisher: CRC Press; 1 edition (June 25, 1999)
• Language: English
• ISBN-10: 1574442643
• ISBN-13: 978-1574442649
• Product Dimensions: 8 x 5.3 x 1.2 inches
• Shipping Weight: 1.2 pounds
• Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #3,265,034 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

6 of 8 people found the following review helpful:

5.0 out of 5 stars A great new approach for investing, August 10, 1999

By A Customer

This review is from: Investing in Mutual Funds Using Fuzzy Logic (Hardcover)

Peray's technique for investing in mutual funds is easy to understand. I'm a conservative investor and do not need 30 and 50% returns. I also dont want to expose my capital to undue risks. Peray's Fuzzy Logic concept has produced an all-out sell signal for USA equity funds in the first week of June 1999 (DOW JONES Industrials over 11000) and I adjusted my portfolio accordingly. I'm waiting for the Fuzzy Logic signal to get back into the market .

5.0 out of 5 stars Good sound advice that works, not just theory, May 28, 2002

By 

Thurman Gables (California) - See all my reviews

This review is from: Investing in Mutual Funds Using Fuzzy Logic (Hardcover)

I have used his recommended system of "Mutual Fund Investing" for the past two years. This system imposes constraints for portfolio asset allocation based on the investor's risk tolerance before buy/hold or sell decisions are made using his Fuzzy Logic concept. This disciplined method has been extremely valuable to me in these turbulent times when so many conflicting opinions on stock and bond market directions prevailed.

1 of 1 people found the following review helpful:

1.0 out of 5 stars Disapointed in his interpetation of fuzzy logic, April 12, 2002

By 

Barry D Smith (Seattle, WA USA) - See all my reviews

This review is from: Investing in Mutual Funds Using Fuzzy Logic (Hardcover)

Maybe this is a book for someone new to mutual funds or to retirement planning - there is a lot of background for those. But if you've had any exposure to technical analysis or expect to see fuzzy logic used, this book is a disapointment. Its not really fuzzy logic - he sets absolute limit thresholds and, depending on their on/off combinations, does a buy/hold/sell. A real fuzzy logic system would have produced a proportional response to varying data. I was expecting a system that might, for example, adjust proportions between the funds available within a company 401k (ideal for a real fuzzy logic approach)- not a conventional all-in/all-out, buy/hold/sell approach like his. His system could have been presented in a small magazine article, not bloated to book size.