Item description for Mathematical Techniques in Financial Market Trading by Don K. Mak...
The present book contains much more materials than the author's previous book The Science of Financial Market Trading. Spectrum analysis is again emphasized for the characterization of technical indicators employed by traders and investors. New indicators are created. Mathematical analysis is applied to evaluate the trading methodologies practiced by traders to execute a trade transaction. In addition, probability theory is employed to appraise the utility of money management techniques. The book: identifies the faultiness of some of the indicators used by traders and accentuates the potential of wavelets as a trading tool; describes the scientific evidences that the market is non-random, and that the non-randomness can vary with respect to time; demonstrates the validity of the claim by some traders that, with good money management techniques, the market is still profitable even if it were random; and analyzes why a popular trading tactic has a good probability of success and how it can be improved.
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Studio: World Scientific Publishing Company
Est. Packaging Dimensions: Length: 1" Width: 6" Height: 9" Weight: 1.35 lbs.
Release Date Apr 20, 2006
Publisher World Scientific Publishing Company
ISBN 9812566996 ISBN13 9789812566997
Availability 0 units.
More About Don K. Mak
Don Mak received his MSc and PhD in Condensed Matter Physics from the University of Toronto. He was an adjunct professor at Queen's University, Kingston, Ontario, Canada, in 2001. He was also a research scientist at the Material Technology Laboratories, Department of Natural Resources, Ottawa, Canada. He received the Technical Achievement Award from the Canadian Institute for Nondestructive Evaluation in 1986, and was elected as a Fellow by the British Institute of Nondestructive Testing in 1989. In 1992, he was elected as one of the four directors of the Canadian Association of Research in Non-destructive Evaluation. Prof Mak has published over 50 physics and applied science papers in journals and conference proceedings.