Eugene Fama
Get Eugene Fama essential facts below. View Videos or join the Eugene Fama discussion. Add Eugene Fama to your topic list for future reference or share this resource on social media.
Eugene Fama
Eugene Fama
Eugene Fama at Nobel Prize, 2013.jpg
Fama in Stockholm, December 2013.
Born (1939-02-14) February 14, 1939 (age 79)
InstitutionUniversity of Chicago
FieldFinancial economics, Organizational economics, Macroeconomics
School or
Chicago School of Economics
Alma materTufts University
University of Chicago
Merton Miller
Harry V. Roberts
Cliff Asness
InfluencesBenoit Mandelbrot, Louis Bachelier
ContributionsFama-French three-factor model
Efficient-market hypothesis
Awards2005 Deutsche Bank Prize in Financial Economics
2008 Morgan Stanley-American Finance Association Award
Nobel Memorial Prize in Economics (2013)
Information at IDEAS / RePEc

Eugene Francis "Gene" Fama (; born February 14, 1939) is an American economist, best known for his empirical work on portfolio theory, asset pricing, and the efficient-market hypothesis.

He is currently Robert R. McCormick Distinguished Service Professor of Finance at the University of Chicago Booth School of Business. In 2013, he shared the Nobel Memorial Prize in Economic Sciences jointly with Robert Shiller and Lars Peter Hansen.[1][2] The Research Papers in Economics project ranked him as the 11th-most influential economist of all-time based on his academic contributions. (as of 28th of Oct 2018)[3]

Early life

Fama was born in Boston, Massachusetts, the son of Angelina (née Sarraceno) and Francis Fama. All of his grandparents were immigrants from Italy.[4] Fama is a Malden Catholic High School Athletic Hall of Fame honoree. He earned his undergraduate degree in Romance Languages magna cum laude in 1960 from Tufts University where he was also selected as the school's outstanding student-athlete.[5]


His M.B.A. and Ph.D. came from the Booth School of Business at the University of Chicago in economics and finance. His doctoral supervisors were Nobel prize winner Merton Miller and Harry Roberts, but Benoit Mandelbrot was also an important influence.[6] He has spent all of his teaching career at the University of Chicago.

His Ph.D. thesis, which concluded that short-term stock price movements are unpredictable and approximate a random walk, was published in the January 1965 issue of the Journal of Business, entitled "The Behavior of Stock Market Prices". That work was subsequently rewritten into a less technical article, "Random Walks In Stock Market Prices",[7] which was published in the Financial Analysts Journal in 1965 and Institutional Investor in 1968. His later work with Kenneth French showed that predictability in expected stock returns can be explained by time-varying discount rates, for example higher average returns during recessions can be explained by a systematic increase in risk aversion which lowers prices and increases average returns.[8]

His article "The Adjustment of Stock Prices to New Information" in the International Economic Review, 1969 (with several co-authors) was the first event study that sought to analyze how stock prices respond to an event, using price data from the newly available CRSP database. This was the first of literally hundreds of such published studies.[]

In 2013, he won the Nobel Memorial Prize in Economic Sciences.

Efficient market hypothesis

Fama is most often thought of as the father of the efficient-market hypothesis, beginning with his Ph.D. thesis. In 1965 he published an analysis of the behaviour of stock market prices that showed that they exhibited so-called fat tail distribution properties, implying extreme movements were more common than predicted on the assumption of Normality.[9][10]

In an article in the May 1970 issue of the Journal of Finance, entitled "Efficient Capital Markets: A Review of Theory and Empirical Work,"[11] Fama proposed two concepts that have been used on efficient markets ever since. First, Fama proposed three types of efficiency: (i) strong-form; (ii) semi-strong form; and (iii) weak efficiency. They are explained in the context of what information sets are factored in price trend. In weak form efficiency the information set is just historical prices, which can be predicted from historical price trend; thus, it is impossible to profit from it. Semi-strong form requires that all public information is reflected in prices already, such as companies' announcements or annual earnings figures. Finally, the strong-form concerns all information sets, including private information, are incorporated in price trend; it states no monopolistic information can entail profits, in other words, insider trading cannot make a profit in the strong-form market efficiency world. Second, Fama demonstrated that the notion of market efficiency could not be rejected without an accompanying rejection of the model of market equilibrium (e.g. the price setting mechanism). This concept, known as the "joint hypothesis problem," has ever since vexed researchers.[] Market efficiency denotes how information is factored in price, Fama (1970) emphasizes that the hypothesis of market efficiency must be tested in the context of expected returns. The joint hypothesis problem states that when a model yields a predicted return significantly different from the actual return, one can never be certain if there exists an imperfection in the model or if the market is inefficient. Researchers can only modify their models by adding different factors to eliminate any anomalies, in hopes of fully explaining the return within the model. The anomaly, also known as alpha in the modeling test, thus functions as a signal to the model maker whether it can perfectly predict returns by the factors in the model. However, as long as there exists an alpha, neither the conclusion of a flawed model nor market inefficiency can be drawn according to the Joint Hypothesis. Fama (1991) also stresses that market efficiency per se is not testable and can only be tested jointly with some model of equilibrium, i.e. an asset-pricing model.

Fama-French three-factor model

In recent years, Fama has become controversial again, for a series of papers, co-written with Kenneth French, that cast doubt on the validity of the Capital Asset Pricing Model (CAPM), which posits that a stock's beta alone should explain its average return. These papers describe two factors above and beyond a stock's market beta which can explain differences in stock returns: market capitalization and "value". They also offer evidence that a variety of patterns in average returns, often labeled as "anomalies" in past work, can be explained with their Fama-French three-factor model.[12]


  • The Theory of Finance, Dryden Press, 1972
  • Foundations of Finance: Portfolio Decisions and Securities Prices, Basic Books, 1976


  1. ^ The Prize in Economic Sciences 2013,, retrieved 14 October 2013
  2. ^ 3 US Economists Win Nobel for Work on Asset Prices, abc news, October 14, 2013
  3. ^ "Economist Rankings at IDEAS - Top 10% Authors, as of March 2011". Research Papers in Economics. August 2011. Retrieved 2011.
  4. ^ Colin Read, The Efficient Market Hypothesists: Bachelier, Samuelson, Fama, Ross, Tobin and Shiller, Palgrave Macmillan, 2012, p. 94
  5. ^ Ritter, Karl; Rising, Malin (2013-10-14). "3 Americans win Nobel prize in economics". Boston Globe. Retrieved .
  6. ^ "Mathematics Genealogy Project". Retrieved .
  7. ^ Fama, Eugene F. (September-October 1965). "Random Walks In Stock Market Prices". Financial Analysts Journal. 21 (5): 55-59. doi:10.2469/faj.v21.n5.55.
  8. ^ Fama and French (1988)
  9. ^ "The behavior of stock-market prices." Journal of business (1965): 34-105
  10. ^ "Q&A: Confidence in the Bell Curve" (an interview with Fama and French). March 18, 2009. Archived from the original on June 13, 2015.
  11. ^ "Efficient capital markets: a review of theory and empirical work". The Journal of Finance. 25: 383-417. doi:10.1111/j.1540-6261.1970.tb00518.x. Retrieved .
  12. ^ Fama, Eugene F.; French, Kenneth R. (1993). "Common Risk Factors in the Returns on Stocks and Bonds". Journal of Financial Economics. 33 (1): 3-56. doi:10.1016/0304-405X(93)90023-5.

External links

  This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.



Top US Cities was developed using's knowledge management platform. It allows users to manage learning and research. Visit defaultLogic's other partner sites below: : Music Genres | Musicians | Musical Instruments | Music Industry