Studies in Japanese Candlestick Charts.
6. Categorical Forecasting.
12. Market Perspectives: Through a Glass Darkly.
3. The Influenza Futures Markets.
List of Figures.
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. A
related web site features updated reviews in sports and financial
forecasting and various links on the topic.
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. Single Equation Modeling: Sports Gambling Markets.
9. Pseudo Candlestick Graphics for Major League Baseball.
7. Simultaneous Financial Time Series.
10. 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.
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.
. Financial/Mathematical Illiteracy and Adolescent Problem Gambling:
Epidemics More Damaging Than the 1918 Influenza Pandemic.
13. Adaptive Modeling Concepts in Dynamic Markets.
5. A Fulbright Senior Specialist, Dr. 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
William S. For more information visit http://www.researchandmarkets.com/research/508458/forecasting_in_fin
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 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. 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.
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:
1. Opacity and Present Day Variables.
4. 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. Mallios, PhD, is a consultant at Mallios and Associates,
where he provides professional advisement to various financial, medical,
and educational institutions. Modeling Cointegrated Time Series Associated with NBA and NFL
2. Single Equation Adaptive Drift Modeling.
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