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.
The Analysis of Sports Forecasting - Modeling Parallels B...
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First Sentence:
From 1976 to 1996, legalized betting in the U.S. increased from $17.3 billion to $586.5 billion. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gambling shocks, statistical shocks, engulfing configuration, sports gambling markets, candlestick configurations, expected team performance, specific modeling results, team specific models, opposition starter, gambling expectations, hammer configuration, viable forecasting, populace models, year end model, conditional mean model, currency modeling, lagged shocks, average innings, blank spaces denote, baseball odds, forthcoming opponent, configuration indicators, candlestick chart, gambling public, encounter zone Key Phrases - Capitalized Phrases (CAPs): (learn more)
Super Bowl, Red Sox, San Francisco, Wall Street Journal, Financial Times, New York, American League, Dave Stewart, Journal of the American Statistical Association, Model Predictor Coefficient, National League, Babe Ruth, Bob Welch, Soviet Union, Jim Kelly, Los Angeles Rams, Management Science, New Orleans, Roger Clemens, The Boss, United Air Lines, White Sox, Abner Doubleday, Los Angeles Times, University of Chicago Press New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
From 1976 to 1996, legalized betting in the U.S. increased from $17.3 billion to $586.5 billion. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gambling shocks, statistical shocks, engulfing configuration, sports gambling markets, candlestick configurations, expected team performance, specific modeling results, team specific models, opposition starter, gambling expectations, hammer configuration, viable forecasting, populace models, year end model, conditional mean model, currency modeling, lagged shocks, average innings, blank spaces denote, baseball odds, forthcoming opponent, configuration indicators, candlestick chart, gambling public, encounter zone Key Phrases - Capitalized Phrases (CAPs): (learn more)
Super Bowl, Red Sox, San Francisco, Wall Street Journal, Financial Times, New York, American League, Dave Stewart, Journal of the American Statistical Association, Model Predictor Coefficient, National League, Babe Ruth, Bob Welch, Soviet Union, Jim Kelly, Los Angeles Rams, Management Science, New Orleans, Roger Clemens, The Boss, United Air Lines, White Sox, Abner Doubleday, Los Angeles Times, University of Chicago Press New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 34
books:
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- Connecticut Yankee by Mark Twain on page 84, and page 121
- The Super Bowl (Sports Classic) by Julian May on page 2, and page 59
- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box in Front Matter, and Back Matter
- Econometric Theory (Wiley publications in applied statistics) by Arthur S. Goldberger in Back Matter
- Time Series Analysis by M . B . Priestley in Back Matter
See all 34 books this book cites
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