PDF Ebook The Mathematics of Technical Analysis: Applying Statistics to Trading Stocks, Options and Futures, by Clifford J. Sherry
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The Mathematics of Technical Analysis: Applying Statistics to Trading Stocks, Options and Futures, by Clifford J. Sherry
PDF Ebook The Mathematics of Technical Analysis: Applying Statistics to Trading Stocks, Options and Futures, by Clifford J. Sherry
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Book Description: The Mathematics of Technical Analysis by Clifford J. Sherry and Jason W. Sherry promises to revolutionize how we think about the markets. In this ground-breaking work, the authors challenge the random walk hypothesisthe idea that there is neither rhyme nor reason to the markets. This far-reaching text describes a series of simple but statistically rigorous methods for analyzing time series. Originally developed to study information processing in the nervous system, they have been modified to analyze economically important time series. These statistical techniques allow traders to determine if a time series is stationary/non-stationary, independent/dependent, and/or random/non-random. These statistical questions are vital for traders because if a time series is non-stationary, independent, and random, it is unlikely that any analysis method, technical or fundamental, will work because the underlying rules that generate the time series change from time to time without warning. However, if a time series is stationary, dependent and non-random, the underlying rules generating prices demonstrate a consistency that will allow analysts to identify low risk/high reward trades.Author Bio: Clifford Sherry has written extensively on applying statistics to investments. He holds a Ph.D. from the Illinois Institute of Technology. He is a senior analyst and CEO of Intuitive Concepts Innovative Testing, LLC. Jason Sherry, a graduate of the University of Texas, Austin, is a financial advisor for Morgan Stanley Dean Witter.
- Sales Rank: #1785548 in Books
- Brand: Brand: Probus Professional Pub
- Published on: 1992-09
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 6.25" w x 1.00" l, 1.50 pounds
- Binding: Hardcover
- 300 pages
- Used Book in Good Condition
About the Author
Clifford Sherry has written extensively on applying statistics to investments. He holds a Ph.D. from the Illinois Institute of Technology. He is a senior analyst and CEO of Intuitive Concepts Innovative Testing, LLC. Jason Sherry, a graduate of the University of Texas, Austin, is a financial advisor for Morgan Stanley Dean Witter.
Most helpful customer reviews
1 of 1 people found the following review helpful.
it's only a practice book
By online_trading
It is only a practice book. Careful mathematic foundation is missing. Maybe technics work, I don't know, because I have no proof.
0 of 0 people found the following review helpful.
Five Stars
By Stephen Purvis
great
21 of 26 people found the following review helpful.
Serious misunderstandings and outright errors
By A. Grimes
I am a professional trader, have an MBA from a major business school, and a decent amount of Finance PhD coursework, so I do know a bit of what I'm talking about. This is one of the worst trading books I have seen. It presents extremely simple time-series analysis, using methods the author developed in some cases (and mis-applied from existing techniques in other cases). The problem is, the math and tools to do these analysis already exists and is implemented in every statistical software available.
If you need more proof of this author's misunderstanding, turn to the last chapter where he discusses portfolio theory. You would think someone writing a book on stats would understand this, but he makes a fundamental error that no one who ever took a single finance class could make: He claims that "Beta-type risk" (market risk) can be reduced by holding a diversified portfolio if the correlations are negative!! This is absolutely wrong on two fronts -- Beta risk is specifically non-diversifiable (and to reduce company-specific risk the correlations just need to be less than 1, not negative). This is one example of the many many errors in this book.
One of the authors is an "investment advisor for Morgan Stanley"?! I wonder how that is working out...
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