Efficient market hypothesis - I
Table of Contents
A. Using Multi-factor model
1. Fama-French (FF) 3 Factor Model
Fama and French 3 factor model is a standard model for analyzing stock returns. Built upon the observation that firm size and the book-to-market ratio historically explain stock returns.
MVSP = P x # of shares outstanding
Observation: Smaller firms have higher beta; more-than average returns.
- Conclusion: Smaller firms haver higher returns that what the CAPM would predict; This deviation is not captured by the CAPM. This missing factor was the FIRM SIZE.
$$\text{Book to Market Ratio} = \frac{\text{Book value of equity}}{\text{Market value of equity}}$$
2. Fama-French (FF) - 3 Factors model
$$E(r_G) = r_f + \beta_{G,M}(E(r_M)-r_f) + \beta_{G, SMB}E(r_{SMB}) + \beta_{G, HML}E(r_{HML})$$
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Market Index Excess Return: $E(r_M)-r_f$; We only subtract the risk-free rate because
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Small Minus Big (SMB) Index Excess Return: $E(r_{SMB})$
- Difference between the returns of small and big firms
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High Minus Low (HML) Index Excess Return: $E(r_{HML})$
- Difference between the returns of high and low book-to-market firms
Kahoot! Q1: If the TRUE model of expected returns is the 10 Fama French 3 factor model:
$$E(r_G) = r_f + \beta_{G,M}(E(r_M)-r_f) + \beta_{G, SMB}E(r_{SMB}) + \beta_{G, HML}E(r_{HML})$$
An analyst instead estimates the CAPM index model:
$$E(r_i) = r_f + \alpha +\beta_{i}(E(r_M)-r_f)$$
What is the $\alpha$ if the analyst uses the CAPM model?
(2) Greater than 3%, less than 5%
3. Omitted Systematic Factors
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Fama-French 3-factor model is better than the singleindex CAPM at explaining stock returns because it includes important factors.
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Single-index CAPM fails to explain the returns on too many stocks
B. Random Walks and the Efficient Market Hypothesis
1. Efficient Market Hypothesis (EMH)
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If markets are efficient:
- On average, investors cannot earn risk-adjusted positive profits
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If markets are not efficient:
- active strategies should eaarn risk-adjusted positive profits and outperform passive strategies
2. Competition
- Once information becomes available, market participants quickly analyze it and trade on it.
Competition may not imply information efficiency when:
- Information is not available to all market participants
3. Random Walks
$$P_{i,t} = B_{i} \times P_{i,t-1} + e_{i,t}$$
- $P_{i,t}$: Price of stock $i$ at time $t$
- $B_{i}$: $1+E(r_i)$
- $e_{i,t}$: Random change
Why is there a postive trend?
- Investors are risk averse average and they demand for positive risk premiums. They on average invest in stocks with positive risk premiums.
- Firms invest in postive NPV projects and grow on average
- Survivorship Bias. What about the firms performing poorly consistently? Kicked out
4. EMH: Three Forms
Always use the information set to evaluate EMH related questions.-
Weak Form: Prices reflect all past information (historical prices and trading data)
- if markets are weak-form efficient, investors can never construct a strategy with positive risk-adjusted returns using using historical price and trading data.
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Semi-Strong Form: Prices reflect all public information
- if markets are semi-strong-form efficient, investors can never construct a strategy with positive risk-adjusted returns using growth forecasts, accounting statements, past price, volume data & earnings
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Strong Form: Prices reflect all information: both public and private
- if markets are strong-form efficient, investors can never construct a strategy with positive risk-adjusted returns using any information (public or private)
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Technical analysis is a trading discipline employed to evaluate investments and identify trading opportunities by analyzing statistical trends gathered from trading activity, such as price movement and volume.
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Fundamental analysis, which attempts to evaluate a security’s value based on business results such as sales and earnings.