Forecasting in Financial and Sports Gambling Markets Adaptive Drift Modeling 1st Edition by William S Mallios ISBN 0470484527 9780470484524

Forecasting in Financial and Sports Gambling Markets Adaptive Drift Modeling 1st Edition by William S Mallios – Ebook PDF Instant Download/Delivery: 0470484527, 9780470484524
Full download Forecasting in Financial and Sports Gambling Markets Adaptive Drift Modeling 1st Edition after payment

Product details:

ISBN 10: 0470484527
ISBN 13: 9780470484524
Author: William S Mallios

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.

Forecasting in Financial and Sports Gambling Markets Adaptive Drift Modeling 1st Table of contents:

Chapter 1: Introduction to Forecasting in Financial and Sports Markets

• Overview of Financial and Sports Gambling Markets

• Importance of Accurate Forecasting

• Challenges and Unique Characteristics of These Markets

Chapter 2: Fundamentals of Time Series Analysis

• Basic Concepts and Terminology

• Stationarity and Trends

• Autocorrelation and Seasonality

Chapter 3: Drift and Adaptive Models

• Definition of Drift in Time Series

• Introduction to Adaptive Drift Modeling

• Comparison with Traditional Forecasting Models

Chapter 4: Data Collection and Preprocessing

• Financial Market Data Sources

• Sports Gambling Data Sources

• Data Cleaning and Preparation

Chapter 5: Statistical Techniques for Adaptive Modeling

• Regression Analysis and Moving Averages

• Kalman Filters and State Space Models

• Bayesian Approaches

Chapter 6: Application of Adaptive Drift Models in Financial Markets

• Stock Price Forecasting

• Exchange Rates and Currency Markets

• Risk Assessment and Portfolio Management

Chapter 7: Application of Adaptive Drift Models in Sports Gambling

• Predicting Outcomes in Team Sports

• Individual Sports Forecasting

• Odds and Probability Modeling

Chapter 8: Model Evaluation and Performance Metrics

• Accuracy Measures: RMSE, MAE, MAPE

• Backtesting and Cross-Validation

• Model Robustness and Stability

Chapter 9: Advanced Topics in Adaptive Drift Modeling

• Handling Non-Stationarity and Structural Breaks

• Incorporating External Information and News

• Machine Learning Integration

Chapter 10: Practical Implementation and Case Studies

• Software Tools and Implementation Tips

• Case Study: Financial Market Forecasting

• Case Study: Sports Gambling Predictions

Chapter 11: Limitations, Challenges, and Future Directions

• Model Limitations and Common Pitfalls

• Ethical Considerations in Gambling Markets

• Emerging Trends and Research Opportunities

People also search for Forecasting in Financial and Sports Gambling Markets Adaptive Drift Modeling 1st:

    
forecasting in financial and sports gambling markets
    
financial effects of gambling
    
what is financial forecasting
    
finance and gambling
    
sports gambling future

Tags: William S Mallios, Financial, Gambling Markets