Addressing the highly competitive and risky environments ofcurrent-day financial and sports gambling markets, Forecasting inFinancial and Sports Gambling Markets details the dynamic processof constructing effective forecasting rules based on both graphicalpatterns and adaptive drift modeling (ADM) of cointegrated timeseries. The book uniquely identifies periods of inefficiency thatthese markets oscillate through and develops profitable forecastingmodels that capitalize on irrational behavior exhibited duringthese periods.
Providing valuable insights based on the author's firsthandexperience, this book utilizes simple, yet unique, candlestickcharts to identify optimal time periods in financial markets andoptimal games in sports gambling markets for which forecastingmodels are likely to provide profitable trading and wageringoutcomes. Featuring detailed examples that utilize actual data, thebook addresses various topics that promote financial andmathematical literacy, including:
Higher order ARMA processes in financial markets
The effects of gambling shocks in sports gambling markets
Cointegrated time series with model drift
Throughout the book, interesting real-world applications arepresented, and numerous graphical procedures illustrate favorabletrading and betting opportunities, which are accompanied bymathematical developments in adaptive model forecasting and riskassessment. A related web site features updated reviews in sportsand financial forecasting and various links on the topic.
Forecasting in Financial and Sports Gambling Markets is anexcellent book for courses on financial economics and time seriesanalysis at the upper-undergraduate and graduate levels. The bookis also a valuable reference for researchers and practitionersworking in the areas of retail markets, quant funds, hedge funds,and time series. Also, anyone with a general interest in learningabout how to profit from the financial and sports gambling marketswill find this book to be a valuable resource.