Research and Markets: Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling Identifies Periods of Inefficiency and Develops Profitable Forecasting Models

Categorical Forecasting.

12. Pseudo Candlestick Graphics for Major League Baseball.

7. Opacity and Present Day Variables.

4. Introduction.

2. 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.

William S.

A guide to modeling analyses for financial and sports gambling markets,

with a focus on major current events

Author:

DUBLIN–(BUSINESS WIRE)–Research and Markets (http://www.researchandmarkets.com/research/508458/forecasting_in_fin)

has announced the addition of John Wiley and Sons Ltd’s new book “Forecasting

in Financial and Sports Gambling Markets: Adaptive Drift Modeling”

to their offering.

Higher order ARMA processes in financial markets

The effects of gambling shocks in sports gambling markets

Cointegrated time series with model drift

Modeling volatility

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:

Preface.

1. Mallios

served as professor of decision sciences at California State University,

Fresno, for more than twenty-five years and has provided consulting

services for government organizations, including the Food and Drug

Administration and Centers for Disease Control.

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.

. Adaptive Modeling Concepts in Dynamic Markets.

5. Simultaneous Financial Time Series.

10. The Influenza Futures Markets.

Index.

List of Figures.

For more information visit http://www.researchandmarkets.com/research/508458/forecasting_in_fin

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. Mallios, PhD, is a consultant at Mallios and Associates,

where he provides professional advisement to various financial, medical,

and educational institutions. Studies in Japanese Candlestick Charts.

6. Single Equation Modeling: Sports Gambling Markets.

9. Market Perspectives: Through a Glass Darkly.

3. Financial/Mathematical Illiteracy and Adolescent Problem Gambling:

Epidemics More Damaging Than the 1918 Influenza Pandemic.

13. 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. Single Equation Adaptive Drift Modeling.

8. Modeling Cointegrated Time Series Associated with NBA and NFL

Games.

11. A Fulbright Senior Specialist, Dr. 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.

Key Topics Covered:

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

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