SUMMARY ON USING OUR GES TO PREDICT OLYMPIC MEDALS - Speech or Presentation Example

College In order to predict the gold and medal winners Goldman Sachs uses two main factors. The first, he says that the countries with superior growth environment and higher incomes are expected to win more medals. This is argued from the point that countries with higher incomes have high gross domestic products hence can manage to participate in many games as possible including expensive ones which small income countries can’t afford. This gives them a greater probability of more medals. The second point is on the marked host effect.

This considers a countries political, economic, cultural beliefs and practices and training which in general determines the population of athletes a country produces. When there are more participants there is also high medal attainment.Basing on the medal determining factors mentioned we can generate an accuracy GES mathematical model to predict the medals. We choose to use a scale of ten to rate different countries in terms of political stability, incomes, economic development, technology and population.

The country with high overall rating will attain highest medals. Example in table form is ;countrypolitical stabilityincomeseconomic developmenttechnology populationOverall developmentU.S.A879978KENYA656565AUSTRALIA668777INDIA456786UKRAINE756556From the above explanation we can state the model as medals earned is directly proportional to overall development. Medal ratio = (political stability + incomes + economic development+ technology + population) / 5.China and Great Britain were highly missed and I think this is due to their huge population which gives a high expectation of participants.

The pitfalls in this prediction GES is the technology which has little effect in the athletics participation.Works CitedCohan, William D.. Goldman Sachs. London: Allen Lane, 2011.Endlich, Lisa. Goldman Sachs: the culture of success. New York: A.A. Knopf, 1999. Goldman Sachs. New York, N.Y.: Vault Inc., 2002.