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Profiting in Bull or Bear Markets [Secure eReader]
eBook by George Dagnino

eBook Category: Personal Finance
eBook Description: Business cycles create investment opportunities. Profiting in Bull or Bear Markets shows how to interpret economic and financial data to identify business cycles, then take advantage of the rhythms of those cycles to minimize losses while achieving superior, more predictable returns. It is nothing less than a blueprint for assembling the different factors needed for developing a sound, consistent investment strategy. George Dagnino--recognized by his peers as one of today's top investment minds--explains how business cycles drive the prices of stocks, bonds, commodities, currencies, and other assets. He provides a blueprint on how to: *Identify sources of risk using business and financial cycles *Calculate the best times to buy and sell stocks, bonds, and other assets *Implement strategies geared toward personal business interests

eBook Publisher: McGraw-Hill Companies, Published: 2002
Fictionwise Release Date: July 2002




Preface

This book is the result of more than 20 years of studying the behavior of business and financial cycles and their impact on investment management. My viewpoint has been influenced by my graduate work at Case-Western Reserve in Cleveland, Ohio, where I received a Ph.D.

Case was well known for its advanced studies and research in the field of management science, information systems, and artificial intelligence. For several years after graduation I reflected on the meaning and implications of what I learned. Finally I realized that the entire program was about "the engineering of thinking." It was about the logical, structured thought process that is typical in the field of artificial intelligence.

The main assumption of this branch of computer sciences is that human thinking can be duplicated. Anything produced by the mind is the outcome of a sequence of logical steps that, when taken all together, can be recognized as thought.

As I was investigating the forces acting on the financial markets and asset prices, some relationships turned out to be more reliable than others. The most reliable ones were those relating turning points and trends. The use of levels (such as, sell if indicator A rises to 50) made my conclusions and the resulting strategy less reliable. However, relationships between trends (such as, rising interest rates have a negative impact on stock prices) have crucial strategic value.

The main concept of this book is presented in a step-by-step process. At the same time I tried to keep everything tied together. As I added new ideas, I made sure they improved the logical model of the previous pages and made it more understandable. My challenge was to identify dependable and profitable patterns. The next step was to tie all of them together in a way that would provide only one answer for each configuration of patterns. In order to do so, I had to reach conclusions that do not reflect conventional wisdom. For example, the Federal Reserve does not control interest rates; the markets do. Interest rates rise because the markets force the price of money to go higher. The markets have the same effect on the price of burlap, aluminum, and most other commodities. The Fed has an impact on interest rates, but the process is not as direct as commentators would lead you to believe.

The same can be said about the price of crude oil, which is also driven by the markets. OPEC, like the Fed, is a cartel. One impacts the price of oil and the other the price of money. Cartels only add to the volatility of prices; they do not establish a rising or declining trend. The markets do.

I fully realize these statements are unconventional. But I believe strategists and investors have to be open-minded. If the issue is to forecast interest rates, investors have to find the true causes of their cyclical movement. These causes may eventually be the Federal Reserve itself, but not in the way conventional wisdom approaches the issue of predicting interest rates and stock market trends. The same can be said about crude oil and other asset prices.

This book provides a logical framework, based on the relationships between patterns of data involving many economic and financial variables. It is the result of a lifetime of research, studies, successes, and failures in predicting financial markets.

This is not a theoretical book. It is based on more than 20 years of editing The Peter Dag Portfolio Strategy and Management, an investment advisory that has gained national and international recognition.

My experience with the top management of the Goodyear Tire and Rubber Company also allowed me to formalize the concept of strategy. My role was to advise the treasurer and the CFO on the optimum fixed-to-floating ratio for the company's debt, and manage 3 billion dollars in interest rates derivatives and 1 billion dollars in currency hedges.

These experiences provided me with a great opportunity to test my ideas and learn from the challenges of developing investment strategies required to deal with sophisticated and complex markets. Managing money for clients and facing the markets every day remain a continuing learning endeavor. More information can be found on my website,www.peterdag.com.

George Dagnino

Copyright © 2001 by The McGraw-Hill Companies, Inc.


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