The Analysis of Sports Forecasting


Book Description

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.




SPORTS METRIC FORECASTING


Book Description

Outcomes of major league games—winning/losing margins and total points scored relative to the odds makers’ lines in baseball, basketball and football—are graphed in terms of sports metric candlestick charts and then forecast in terms of adaptive drift modeling. The charts are constructed to reveal ad hoc forecasting patterns that may contribute to effective forecasting. These patterns are then included with variables contained in major sports data bases. The augmented data bases then provide input variables in the drift modeling forecasts.




Forecasting in Financial and Sports Gambling Markets


Book Description

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 firsthand experience, this book utilizes simple, yet unique, candlestick charts to identify optimal time periods in financial markets and optimal games in sports gambling markets for which forecasting models are likely to provide profitable trading and wagering outcomes. Featuring detailed examples that utilize actual data, the book addresses various topics that promote financial and mathematical literacy, including: Higher order ARMA processes in financial markets The effects of gambling shocks in sports gambling markets Cointegrated time series with model drift Modeling volatility Throughout the book, interesting real-world applications are presented, and numerous graphical procedures illustrate favorable trading and betting opportunities, which are accompanied by mathematical developments in adaptive model forecasting and risk assessment. A related web site features updated reviews in sports and financial forecasting and various links on the topic. Forecasting in Financial and Sports Gambling Markets is an excellent book for courses on financial economics and time series analysis at the upper-undergraduate and graduate levels. The book is also a valuable reference for researchers and practitioners working in the areas of retail markets, quant funds, hedge funds, and time series. Also, anyone with a general interest in learning about how to profit from the financial and sports gambling markets will find this book to be a valuable resource.




Sports Metric Forecasting


Book Description

Outcomes of major league games—winning/losing margins and total points scored relative to the odds makers’ lines in baseball, basketball and football—are graphed in terms of sports metric candlestick charts and then forecast in terms of adaptive drift modeling. The charts are constructed to reveal ad hoc forecasting patterns that may contribute to effective forecasting. These patterns are then included with variables contained in major sports data bases. The augmented data bases then provide input variables in the drift modeling forecasts.




Biorhythm Sports Forecasting


Book Description







Forecasting Methods in Sports and Recreation


Book Description

Good decision-making can be better or worse, depending on the quality of the forecasts that underlie the decision-making process. Forecasting Methods in Sports and Recreation discusses and evaluates forecasting methods so as to allow practitioners to compare, choose and utilize the method most suited to their purpose. It surveys the range of forecasting techniques available and guides the user to making the best choice of technique.




Fixed Odds Sports Betting


Book Description

Few people manage to make money from gambling, and fewer still make a living from it. Written for hardened and novice betters alike, Joseph Buchdahl's essential guide examines, through various numerical techniques, how fixed odds punters may learn to beat the bookmaker, protect profits through a sensible approach to risk management, and turn high-risk gambling into a form of low-risk investment.




Sports Analytics


Book Description




Prediction Markets


Book Description

How does one effectively aggregate disparate pieces of information that are spread among many different individuals? In other words, how does one best access the ‘wisdom of the crowd’? Prediction markets, which are essentially speculative markets created for the purpose of aggregating information and making predictions, offer the answer to this question. The effective use of these markets has the potential not only to help forecast future events on a national and international level, but also to assist companies, for example, in providing improved estimates of the potential market size for a new product idea or the launch date of new products and services. The markets have already been used to forecast uncertain outcomes ranging from influenza to the spread of infectious diseases, to the demand for hospital services, to the box office success of movies, climate change, vote shares and election outcomes, to the probability of meeting project deadlines. The insights gained also have many potentially valuable applications for public policy more generally. These markets offer substantial promise as a tool of information aggregation as well as forecasting, whether alone or as a supplement to other mechanisms like opinion surveys, group deliberations, panels of experts and focus groups. Moreover, they can be applied at a macroeconomic and microeconomic level to yield information that is valuable for government and commercial policy-makers and which can be used for a number of social purposes. This volume of original readings, contributed by many of the leading experts in the field, marks a significant addition to the base of knowledge about this fascinating subject area. The book should be of interest to anyone looking at monetary economics, economic forecasting and microeconomics.