• Quant Models are mathematical methods built to efficiently screen and

identify stocks.

• They are based on information and data (analyst upgrades, valuation

metrics etc) proven to help predict stock returns.

• Having developed a rather successful Quant Model over the years, we

intend to introduce it to our readers and also use its methodology to

apply it to a fruitful field for statistics: Football and the World Cup.

• In this Model, we focus on market prices, FIFA Ranking, historical

results, our J.P. Morgan Team Strength Indicator etc to come up with a

mathematical model built to predict match results.

• Ultimately our Model indicates Brazil as being the strongest team

taking part in the tournament. However, due to the fixture schedule our

Model predicts the following final outcome:

- 3rd: Netherlands

- 2nd: Spain

- World Cup Winners: England

• Alternatively, we point out that the 3 favourite teams (from market

prices recorded on 30 April of 3.9-to-1 for Spain, 5-to-1 for Brazil and

5.4-to-1 for England) represent a 52.5% probability of winning the