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Handbook of Sports and Lottery Markets

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Its basic empirical research and investigation of pure theories of investment in the sports and lottery markets make this volume a winner. These markets are simpler to study than traditional financial markets, and their expected values and outcomes are uncomplicated. By means of new overviews of scholarship on the industry side of racetrack and other betting markets to betting exchanges and market efficiencies, contributors consider a variety of sports in countries around the world. The result is not only superior information about market forecasting, but macro- and micro-analyses that are relevant to other markets.

560 pages, Hardcover

First published September 5, 2008

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About the author

William T. Ziemba

61 books8 followers

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26 reviews12 followers
February 17, 2011
This book is a recent update on a world wide research in betting markets. I read it in preparation to write a research paper on analysing micro structure of betting exchange markets by replaying them on an event driven market simulator. Reading this book, helped me to gain an insight into research methods, results, and trends on efficiency in betting markets.

The two parts of this book, I was especially interested in, treat on weak and semi strong forms of efficiency in betting markets. I found two articles on those topics that I particularly liked.

The first is a 'Efficiency of Racing, Sports, and Lottery Betting Markets' by William T. Ziemba from Sauder School of Business, UBC, Vancouver, Canada, Mathematical Institute, Oxford University, and ICMA Centre, University of Reading, UK. It's a comprehensive survey of weak form efficiency in racing, sports, and lottery markets.

The second is a 'Semi-Strong Form Information Efficiency in Horse Race Betting Markets' by M.Sung and J.E.V Johnson from Centre for Risk Research, School of Management, University of Southampton, United Kingdom. This paper is a great review of an existing literature on semi strong efficiency, covering both single and multi variable analyses.

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Daniel Korzekwa
Software Engineer
http://blog.danmachine.com
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