Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling

Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling Review

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Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling Feature

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.

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Modeling Chemical Systems Using Cellular Automata

Modeling Chemical Systems Using Cellular Automata Review

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Modeling Chemical Systems Using Cellular Automata Feature

Molecular Modeling using Cellular Automata provides a practical introduction to an exciting modeling paradigm for complex systems. The book first discusses the nature of scientific inquiry using models and simulations, and then describes the nature of cellular automata models. It then gives detailed descriptions, with examples and exercises, of how cellular automata models can be used in the study of a wide variety chemical, physical, and biochemical phenomena. Topics covered include models of water itself, solution phenomena, solution interactions with stationary systems, first- and second-order kinetic phenomena, enzyme kinetics, vapor-liquid equilibrium, and atomic and molecular excited-state kinetics. The student experiences these systems through hands-on examples and guided studies, and there is room for further original experimentation using the accompanying computer program (on CD Rom).

This book is the first of its kind: a textbook and a laboratory manual about cellular automata modeling of common systems in chemistry. It is not only a text, but includes a CD Rom which allows readily-assimilated, real-time experience with the methodology and practice of cellular automata simulations. The book is designed to be used as a text in undergraduate courses dealing with complex systems and/or as a computational supplement to laboratory courses taught at the undergraduate level.

The book includes:

- Compact descriptions of a large variety of physical and chemical phenomena

- An accompanying program (CD) for the study of these phenomena

- Illustrative examples of simulations, with exercises for further study

- An instructor's manual for use of the program

The book will be of great value in undergraduate courses in chemistry, physics, biology, applied mathematics, and bioinformatics, and as a supplement for laboratory courses in introductory chemistry, organic chemistry, physical chemistry, medicinal chemistry, chemical engineering and other courses dealing with statistical and dynamic systems. It allows the exploration of a wide range of dynamic phenomena, many of which are not normally accessible within conventional laboratory settings due to limitations of time, cost, and experimental equipment.

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