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The Big Gamble takes you on an armchair journey from the tulip fields of 17th century Holland and the South Seas to the gaming tables in Las Vegas. Discover how economic bubbles form, and learn about an "early warning system" you can use to either avoid the next one or wisely capitalize on it. In plain English, without jargon or blue-sky economic theory, discover: Why you're not really "playing it safe" when you invest conservatively, even in U.S. Treasury bills or mutual funds. Nine financial risks you need to watch out for when building a portfolio or allocating investments in your 401(k) plan. The twelve cardinal rules of speculating that are critical to successfully making your assets grow. Why you should think twice before sinking your life savings into economic icons like General Motors or Wal-Mart. Three surefire economic signals that will show you the "next big thing" and identify potential bubbles when they are beginning.
This book is concerned with important problems of robust (stable) statistical pat tern recognition when hypothetical model assumptions about experimental data are violated (disturbed). Pattern recognition theory is the field of applied mathematics in which prin ciples and methods are constructed for classification and identification of objects, phenomena, processes, situations, and signals, i. e. , of objects that can be specified by a finite set of features, or properties characterizing the objects (Mathematical Encyclopedia (1984)). Two stages in development of the mathematical theory of pattern recognition may be observed. At the first stage, until the middle of the 1970s, pattern recogni...
A guide to modeling analyses for financial and sports gambling markets, with a focus on major current events Addressing the highly competitive and risky environments of current-day financial and sports gambling markets, Forecasting in Financial and Sports Gambling Markets details the dynamic process of constructing effective forecasting rules based on both graphical patterns and adaptive drift modeling (ADM) of cointegrated time series. The book uniquely identifies periods of inefficiency that these markets oscillate through and develops profitable forecasting models that capitalize on irrational behavior exhibited during these periods. Providing valuable insights based on the author's first...
Given the magnitude of currency speculation and sports gambling, it is surprising that the literature contains mostly negative forecasting results. Majority opinion still holds that short term fluctuations in financial markets follow random walk. In this non-random walk through financial and sports gambling markets, parallels are drawn between modeling short term currency movements and modeling outcomes of athletic encounters. The forecasting concepts and methodologies are identical; only the variables change names. If, in fact, these markets are driven by mechanisms of non-random walk, there must be some explanation for the negative forecasting results. The Analysis of Sports Forecasting: Modeling Parallels Between Sports Gambling and Financial Markets examines this issue.
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