Reading 3.3 Flashcards
A factor (in multifactor pricing model) represents a
Factors should have a ____ with ____, and should show that the ____ over long periods.
unique source of return or premium that is not highly correlated with other factors (i.e., the return cannot be fully explained by other factors).
sound economic foundation
rigorous supporting research
premiums persist
multi-factor models are more successful at explaining ____ and generally produce better estimates of _____
systematic returns
idiosyncratic returns
Idiosyncratic returns refer to
the portion of an investment’s return that is attributed to factors specific to that particular investment, rather than general market movements.
Multi-factor models may be expressed in ex-ante form, describing expected returns, as:
Multi-factor models may be expressed in ex-ante form, describing realized returns, as:
Factors used in multi-factor models may include
- market portfolio
- spread between small and large stock returns
- spread between liquid and illiquid stock returns
Multi-factor models are primarily used for:
estimate the variance-covariance matrix of asset returns in order to inform investors about the portfolio exposures
What is MARGINAL UTILITY in investing?
The utility of gaining more capital
why investors tend to derive higher marginal utility from returns when the market performs poorly, compared to when it performs well?
Investors tend to derive higher marginal utility from returns when the market performs poorly compared to when it performs well due to the concept of diminishing marginal utility.
Diminishing marginal utility suggests that as individuals acquire more of a good or benefit, the additional satisfaction or utility gained from each additional unit decreases.
There are 3 main categories of factors that drive asset returns & give examples for each:
- Macroeconomic factors - drive asset returns throughout the entire economy and across asset classes. Examples: productivity, inflation, credit, economic growth, and liquidity.
- Fundamental, style, investment, or dynamic factors - based on companies’ fundamental traits that are empirically identified as key drivers of investment returns across companies, industries, and sectors. Examples: value, size, momentum, quality, and low volatility.
- Statistical factors - drive asset returns within an entire economy, asset class, or sector, and are identified based on empirical traits (rather than style or economic traits). For example, statistical factors have been identified in bond returns.
- Principal component analysis is an approach that identifies statistical factors. For instance, it may find that most return differences between assets are explained by 3-5 components.
However, with this analysis, the factors’ economic identity and the economic cause of the relation between the factor and asset returns are not typically known.
2 classifications of asset pricing models
- Theoretical models - Factors are derived from known relations and facts about financial economics. There is typically a logical explanation for theoretically derived factors.
- Empirical models - Factors are based on historical observation and analysis (using sound statistical techniques).
► For instance, a model may describe stock returns in terms of market-to-book ratios, based on observing a correlation between asset returns and market-to-book ratios.
Setting up an empirical return model involves the following 3 steps:
- Calculate the excess return (by subtracting the risk-free rate from the security’s historical return) to be used as the model’s dependent variable.
- Select potential factors to be used as the independent variables.
- Use statistical analysis to identify the factors that are significantly correlated with the returns.
A tradable asset is a ___
position that can be easily established and liquidated.
The Fama-French model expands the single-factor CAPM and describes asset returns in terms of three factors:
- Market portfolio - spread between returns of the market portfolio and the risk-free asset (same as CAPM)
- Value (book-to-market) - spread between returns on high book-to-market ratio stocks and returns on low book-to-market stocks.
- Size - spread between the returns on small stocks and those on large stocks
ex-ante form of the Fama-French model is given by (formula)
The Fama-French model (1992) is an ____ model used to explain returns of ___
empirical multi-factor
traditional equities and equity-oriented alternative investments
Fama-French-Carhart model (Carhart 1997) extends the Fama-French model by adding a ____. This is motivated by the empirical observation that stock performance may be explained by whether the stock has ____
momentum factor
recently increased or decreased in value
The ex-ante form of the Fama-French-Carhart model is given by (formula)
The Fama-French and Fama-French-Carhart models describe historical equity returns better
than single-factor models
Fama-French five-factor model adds 2 factors to the original Fama-French
model:
- Robust minus weak factor - It distinguishes firms by their reported accounting profitability, with robust firms having higher accounting profits as a proportion of equity.
- This factor represents “the average return on … robust operating profitability portfolios minus the average return on … weak operating profitability portfolios”.
- Conservative minus aggressive factor - It distinguishes firms by the rate of reported corporate asset investment, with conservative firms exhibiting lower rates of investment in corporate assets.
- This factor represents “the average return on … conservative investment portfolios minus the average return on … aggressive investment portfolios”.
Why are the Fama-French models are not appropriate for alternative assets that are not focused on public equities?
because alternative assets have factor exposures that differ considerably from
those of traditional assets
There are two issues to consider when using empirical multi-factor models for return attribution or forecasting expected returns:
- FALSE IDENTIFICATION OF FACTORS - Randomly identified factors cannot be used to predict future returns. Factor identification needs to be based on theoretical reasoning and careful statistical testing
- DIFFERENTIATING FACTOR CORRELATION FROM FACTOR CAUSATION
For many alternative investments, investing in a market-weighted portfolio of alternative assets is not possible since many alternative investments are ____ and, thus, their ____ risks are not easily diversified. This suggests that expected returns of alternatives likely depend on ____, so a ____ model cannot adequately describe these returns
privately held
idiosyncratic
multiple factors
single-factor
Factor investing is a relatively new asset allocation approach that allocates based on ____ as opposed to the ____
exposure to certain risk factors
traditional allocation to asset classes
Ang (2014) presents 3 important observations related to factor investing:
- Factors matter (not assets) - they are key to factor investing. Asset allocators should view assets merely as a means of accessing factors.
- Assets are bundles of factors (that reflect different risks and rewards) = asset’s risk premium represents a package of risk premiums offered by factor exposures and can be estimated using the factor exposures.
- Different investors should use different factors