Random Walks and Efficient Markets
Jan 01, 2016
Learning GoalsWhat is Random walkWhat is Efficient Market Hypothesis
(EMH)Differentiate between the levels of
Market efficiency.
IntroductionEfficient Market Hypothesis (EMH), formally
presented by Eugene Fama (1970), asserts that financial asset prices fully reflect all available, relevant information.
Implicit in this assertion is the idea that financial asset prices reflect all relevant historical and current information, and that they incorporate every piece of forecastable information into unbiased forecast of future prices.
EMH conclude that:Securities are rarely, if ever, substantially
mispriced in the marketplaceNo security analysis, however detailed, is
capable of identifying mispriced securities with a frequency greater than that, which might be expected by random chance alone.
Random Walks HypothesisRandom Walk: the theory that stock price
movements are unpredictable, so there is no way to know where prices are headedStudies of stock price movements indicate that
they do not move in neat patterns
This could be an indication that markets are highly efficient and respond quickly to changes in the current situation
Random Walks HypothesisRandom Walk: the theory that stock price
movements are unpredictable, so there is no way to know where prices are headedStudies of stock price movements indicate that
they do not move in neat patterns
This could be an indication that markets are highly efficient and respond quickly to changes in the current situation
Efficient MarketsEfficient Market: a market in which
securities reflect all possible information quickly and accurately
Efficient Market Hypothesis: markets have a large number of knowledgeable investors who react quickly to new information, causing securities prices to adjust quickly and accurately
To have an efficient market, you must have:Many knowledgeable investors active in
analyzing and trading stocksInformation is widely available to all investors
and is free/easy to obtainEvents, such as labor strikes or accidents, tend
to happen randomlyInvestors react quickly and accurately to new
information, causing prices to adjust
Levels of Efficient MarketsWeak Form
Past data on stock prices are of no use in predicting future stock price changes
Everything is randomShould simply use a “buy-and-hold” strategy
Semi-strong FormAbnormally large profits cannot be consistently
earned using public informationAny price anomalies are quickly found out and
the stock market adjusts
Strong FormThere is no information, public or private, that
allows investors to consistently earn abnormally high returns
Version of theory Information impounded in prices
Weak form
Semi- strong form
Strong form
Past prices of securities
All Publicly available information
All public and private information
Behavioral FinanceOften a seeming refutation of the efficient
market theory may instead be a refutation of the asset-pricing model (that is Beta the only measure of risk and return).
Behavioral finance theorist found that several unexplainable anomalies have been identified that gives an impact on security’s return which is call market anomalies
Market AnomaliesP/E Effect
Uses P/E ratio to value stocksLow P/E stocks may outperform high P/E
stocks, even after adjusting for risk
Small-Firm EffectSize of a firm impacts stock returnsSmall firms may offer higher returns than
larger firms, even after adjusting for riskNeglected-firm effect
The tendency of investment in stock of less well-known firm to generate abnormal return
Book-to-market effectThe tendency for investment in shares of firms with
high ratios of book value to market value to generate abnormal returns.
Reversal effectThe tendency of poorly performing stocks and well-
performing stocks in one period to experience reversals in the following period.
Calendar EffectsStocks returns may be closely tied to the time of
year or time of weekQuestionable if really provide opportunityExamples: January effect, weekend effect