The evidence for the weak version of the EMH is inconclusive; it appears that some asset markets do follow a random walk, but there is often evidence of serial correlation in particular in trending markets which suggests that markets may not fully be weak form efficient.
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But there are many investors who have consistently beaten the market. Warren Buffett is one of those who's managed to outpace the averages year after year.
The efficient market hypothesis (EMH) maintains that all stocks are perfectly priced according to their inherent investment properties, the knowledge of which all market participants possess equally. Financial theories are subjective. In other words, there are no proven laws in finance. Instead, ideas try to explain how the market works.
The weak tenet implies stock prices reflect all available information, the semi-strong implies stock prices are factored into all publicly available information, and the strong tenet implies all information is already factored into the stock prices.
The EMH was developed from economist Eugene Fama's Ph.D. dissertation in the 1960s.
Proponents of the EMH conclude investors may profit from investing in a low-cost, passive portfolio .
Secondly, no single investor is ever able to attain greater profitability than another with the same amount of invested funds under the efficient market hypothesis. Since they both have the same information, they can only achieve identical returns.
Therefore, investors can't use fundamental analysis to beat the market and make significant gains. In the strong form of the theory, all information—both public and private—are already factored into the stock prices.
The efficient market hypothesis states that when new information comes into the market, it is immediately reflected in stock prices and thus neither technical nor fundamental analysis can generate excess returns.
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With regard to fundamental analysis, many believe that initial dividend yield and price-to-earnings multiples can be used to predict future stock results. The author points out, however, that these measures do not consistently predict stock performance in all time periods, which means that they do not contradict the efficient market hypothesis. The author concludes that occasional anomalies do not violate the efficient market hypothesis; they lose their predictive power when they are discovered and do not hold true in the long run.
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The evidence for the weak version of the EMH is inconclusive; it appears that some asset markets do follow a random walk, but there is often evidence of serial correlation in particular in trending markets which suggests that markets may not fully be weak form efficient.