Cycles: The Science of Prediction

by Edward R. Dewey, Edwin F. Dakin

2011 Reprint of 1947 edition. Full facsimile of the original edition, not reproduced with Optical Recognition Software. In 1947 Edward R. Dewey and Edwin F. Dakin published their book Cycles: The Science of Prediction which argued the United States economy was driven by four cycles of different length. Dewey devoted his life to the study of cycles, claiming that "everything that has been studied has been found to have cycles present." He carried out extensive studies of cyclicity in economic, geological, biological, sociology, physical sciences and other disciplines. As a result of his research, Dewey asserted that seemingly unrelated time series often had similar cycles periods present and that when they did the phase of these cycles was mostly very similar (cycle synchrony). He also said that there were many cycles with periods that were related by powers or products of 2 and 3. Dewey understood his cycle theory to be capable of understanding what the market is going to do and of predicting what may come.

Genres: Economics, Business, Finance

268 pages, Paperback

First published March 1, 2007

Reviews

[Peter Sadauskas · Rating 3 out of 5]

This was an interesting read but I found the language a bit stodgy at times and due to the 1947 release the data was outdated. On a positive note it has given me a new perspective on data interpretation and prediction in business.

[Kaustubh Sule · Rating 5 out of 5]

A great book on economic cycles and it's representation through logistic curve in simple language

[Dan Pfeiffer · Rating 3 out of 5]

A bit dated but a good introduction to the phenomenon of cyclical trends that tend to manifest themselves in... everything, hence providing a view to the actual order of things inherent in the world as opposed to the everyday experience that may seem punctuated with seemingly random and chaotic events. A concept applicable to those interested in coming to a clearer understanding of how the universe functions. Actual discussion of applicability toward prediction is a bit light so the full title of the book is a bit beguiling in that regard. But it does serve as good primer on moving averages and ratio scales which are good tools to apply to reams of data.

[Willy · Rating 5 out of 5]

Interesting book about Cycles.