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The adaptive market hypothesis, as proposed by Andrew Lo, [1] is an attempt to reconcile economic theories based on the efficient market hypothesis (which implies that markets are efficient) with behavioral economics, by applying the principles of evolution to financial interactions: competition, adaptation, and natural selection. [2]
Andrew Wen-Chuan Lo (Chinese: 羅聞全; born 1960) is a Hong Kong-born Taiwanese-American economist and academic who is the Charles E. and Susan T. Harris Professor of Finance at the MIT Sloan School of Management. Lo is the author of many academic articles in finance and financial economics. [3]
Random walk hypothesis test by increasing or decreasing the value of a fictitious stock based on the odd/even value of the decimals of pi. The chart resembles a stock chart. Whether financial data can be considered a random walk is a venerable and challenging question.
arbitrage pricing theory; asset price dynamics [3] optimal asset allocation; cointegration; event study; nonlinear financial models such as autoregressive conditional heteroskedasticity [4] realized variance; fund performance analysis such as returns-based style analysis; tests of the random walk hypothesis; the capital asset pricing model
Another theory related to the efficient market hypothesis created by Louis Bachelier is the "random walk" theory, which states that prices in the financial markets evolve randomly. Therefore, identifying trends or patterns of price changes in a market can't be used to predict the future value of financial instruments .
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The theory of efficient markets has been practically applied in the field of Securities Class Action Litigation. Efficient market theory, in conjunction with "fraud-on-the-market theory", has been used in Securities Class Action Litigation to both justify and as mechanism for the calculation of damages. [81] In the Supreme Court Case ...