Asset Pricing Zhenlong Chapter 9 Factor pricing models
- Slides: 67
Asset Pricing Zhenlong Chapter 9: Factor pricing models
Asset Pricing Zhenlong Contents • • • Introduction CAPM ICAPM Comments on the CAPM and ICAPM APT vs. ICAPM
Asset Pricing Zhenlong Brief introduction •
Asset Pricing Zhenlong Brief introduction • More directly, the essence of asset pricing is that there are special states of the world in which investors are especially concerned that their portfolios not do badly. • The factors are variables that indicate that these “bad states” have occurred. • Any variable that forecasts asset returns (“changes in the investment opportunity set”) or macroeconomic variables is a candidate factor. • Such as : term premium, dividend/price ratio, stock returns
Should factors be unpredictable over time? Asset Pricing Zhenlong • Factors that proxy for marginal utility growth, though they don’t have to be totally unpredictable, should not be highly predictable. If one chooses highly predictable factors, the model will counterfactually predict large interest rate variation. • In practice, this consideration means that one should choose the right units: Use GNP growth rather than level, portfolio returns rather than prices or price/dividend ratios, etc.
The derivations of factor pricing model Asset Pricing Zhenlong • Determine one particular list of factors that can proxy for marginal utility growth • Prove that the relation should be linear. • Remark: all factor models are derived as specializations of the consumption-based model.
Asset Pricing Zhenlong guard against fishing • One should call for better theories or derivations, more carefully aimed at limiting the list of potential factors and describing the fundamental macroeconomic sources of risk, and thus providing more discipline for empirical work.
Capital Asset Pricing Model (CAPM) Asset Pricing Zhenlong • wealth portfolio return. • In expected return / beta language, • CAPM can be derived from consumption-based model by different assumption.
Asset Pricing Zhenlong Different assumption • • 1) two-period quadratic utility 2) exponential utility and normal returns, 3) Infinite horizon, quadratic utility and i. i. d. returns 4) Log utility. • Same assumption: no labor income
Two-period quadratic utility,no labor income Asset Pricing Zhenlong • Investors have quadratic preferences and only live two periods, • marginal rate of substitution is thus
Asset Pricing Zhenlong • the budget constraint is
Asset Pricing Zhenlong • Just as
Exponential utility, normal distributions, no labor income • If consumption only in the last period and is normally distributed, we have • a is the coefficient of absolute risk aversion. Asset Pricing Zhenlong
Asset Pricing Zhenlong • the budget constraint is
Asset Pricing Zhenlong •
Quadratic value function, dynamic programming • first order condition • So, Asset Pricing Zhenlong
Asset Pricing Zhenlong • suppose the value function were quadratic, • Then, • Some addition assumptions: – The value function only depends on wealth. – The value function is quadratic. It needs the following assumptions: the interest rate is constant, returns are iid, no labor income.
Asset Pricing Zhenlong the existence of value function (Proof ) • Suppose investors last forever, and have the standard sort of utility function • Define the value function as the maximized value of the utility function in this environment.
Asset Pricing Zhenlong • Value functions allow you to express an infinite period problem as a two period problem
Why is the value function quadratic? Asset Pricing Zhenlong • Remark: quadratic utility function leads to a quadratic value function in this environment • Specify: • Guess: • Thus,
Asset Pricing Zhenlong •
Asset Pricing Zhenlong •
Log utility, no labor income • Asset Pricing Zhenlong
Asset Pricing Zhenlong • Log utility has a special property that “income effects offset substitution effects, ” or in an asset pricing context that “discount rate effects offset cash flow effects. ”
How to linearize the model? Asset Pricing Zhenlong • The twin goals of a linear factor model derivation are to derive what variables derive the discount factor, and to derive a linear relation between the discount factor and these variables. This section covers three tricks that are used to obtain a linear functional form. • Taylor approximation • the continuous time limit • normal distribution
Asset Pricing Zhenlong Taylor approximation • The most obvious way to linearize the model is by a Taylor approximation
Asset Pricing Zhenlong Continuous time limit • If the discrete time is short enough, we can apply the continuous time result as an approximation • For a short discrete time interval,
Normal distribution in discrete time Asset Pricing Zhenlong • Stein’s lemma : If f and R are bivariate normal, g(f) is differentiable and , then
Asset Pricing Zhenlong • Remark: If m=g(f), if f and a set of the payoffs priced by m are normally distributed returns, and if , then there is a linear model m=a+bf that prices the normally distributed returns.
Asset Pricing Zhenlong
Asset Pricing Zhenlong • Similar, it allows us to derive an expected return-beta model using the factors
Two period CAPM Asset Pricing Zhenlong • Stein’s lemma allows us to substitute a normal distribution assumption for the quadratic assumption in the two period CAPM. • Assuming RWand Ri are normally distributed, we have:
Asset Pricing Zhenlong Log utility CAPM • Stein’s lemma cannot be applied to the log utility CAPM because the market return cannot be normally distributed. For log utility CAPM, g(f)=1/RW, so • If RW is normally distributed, E(1/RW 2) does not exist. The Stein’s lemma condition is violated.
Intertemporal Capital Asset Pricing Model (ICAPM) Asset Pricing Zhenlong • The ICAPM generates linear discount factor models • in which the factors are “state variables” for the investor’s consumption-portfolio decision.
Asset Pricing Zhenlong • the value function depends on the state variables • so we can write
Asset Pricing Zhenlong • Start from • We have
Asset Pricing Zhenlong Define the coefficient of relative risk aversion, Then we obtain the ICAPM,
Asset Pricing Zhenlong • Thus, in discrete time
Is the CAPM conditional or unconditional? • Asset Pricing Zhenlong
Asset Pricing Zhenlong •
Asset Pricing Zhenlong • The log utility CAPM expressed with the inverse market return is a beautiful model, since it holds both conditionally and unconditionally. There are no free parameters that can change with conditioning information. • Finally it requires no specification of the investment opportunity set, or no specification of technology. • However, the expectations in the linearized log utility CAPM are conditional.
Asset Pricing Zhenlong Should the CAPM price options? • the quadratic utility CAPM and the nonlinear log utility CAPM should apply to all payoffs: stocks, bonds, options, contingent claims, etc. • However, if we assume normal return distributions to obtain a linear CAPM, we can no longer hope to price options, since option returns are non-normally distributed
Asset Pricing Zhenlong Why bother linearizing a model? •
Asset Pricing Zhenlong What about the wealth portfolio? • To own a (share of) the consumption stream, you have to own not only all stocks, but all bonds, real estate, privately held capital, publicly held capital (roads, parks, etc. ), and human capital. • Clearly, the CAPM is a poor defense of common proxies such as the value-weighted NYSE portfolio.
Asset Pricing Zhenlong Implicit consumption-based models •
Asset Pricing Zhenlong Ex-post returns • The log utility model also allows us for the first time to look at what moves returns ex-post as well as ex-ante. • Aggregate consumption and asset returns are likely to be de-linked at high frequencies, but how high (quarterly? ) and by what mechanism are important questions to be answered.
Asset Pricing Zhenlong Identity of state variables •
Asset Pricing Zhenlong Arbitrage Pricing Theory (APT) • The intuition behind the APT is that the completely idiosyncratic movements in asset returns should not carry any risk prices, since investors can diversify them away by holding portfolios. • Therefore, risk prices or expected returns on a security should be related to the security’s covariance with the common components or “factors” only.
Asset Pricing Zhenlong • The APT models the tendency of asset payoffs (returns) to move together via a statistical factor decomposition • Define • So,
Asset Pricing Zhenlong •
Asset Pricing Zhenlong • Thus, with N= number of securities, the N(N-1)/2 elements of a variance-covariance matrix are described by N betas, and N+1 variances. • With multiple (orthogonalized) factors, we obtain
Asset Pricing Zhenlong • If we know the factors we want to use ahead of time, we can estimate a factor structure by running regressions. • If we don’t, we use factor analysis to estimate the factor model.
Asset Pricing Zhenlong Exact factor pricing •
Approximate APT using the law of one price Asset Pricing Zhenlong • There is some idiosyncratic or residual risk; we cannot exactly replicate the return of a given stock with a portfolio of a few large factor portfolios. • However, the idiosyncratic risks are often small. There is reason to hope that the APT holds approximately, especially for reasonably large portfolios.
Asset Pricing Zhenlong • Suppose • Again take prices of both sides,
Asset Pricing Zhenlong
Asset Pricing Zhenlong Limiting arguments •
Asset Pricing Zhenlong • These two theorems can be interpreted to say that the APT holds approximately (in the usual limiting sense) for either portfolios that naturally have high R 2, or well-diversified portfolios in large enough markets.
Asset Pricing Zhenlong Law of one price arguments fail •
Asset Pricing Zhenlong • Remark: the effort to extend prices from an original set of securities (f in this case) to new payoffs that are not exactly spanned by the original set of securities, using only the law of one price, is fundamentally doomed. To extend a pricing function, you need to add some restrictions beyond the law of one price.
the law of one price: arbitrage and Sharpe ratios Asset Pricing Zhenlong • The approximate APT based on the law of one price fell apart because we could always choose a discount factor sufficiently “far out” to generate an arbitrarily large price for an arbitrarily small residual. • But those discount factors are surely “unreasonable. ” Surely, we can rule them out.
Asset Pricing Zhenlong •
Asset Pricing Zhenlong Theorem •
Asset Pricing Zhenlong APT vs. ICAPM • Factor structure can imply factor pricing (APT), but factor pricing does not require a factor structure. • High R 2 in time-series regressions of the returns on the factors may imply factor pricing (APT), but again are not necessary (ICAPM).
Asset Pricing Zhenlong • The biggest difference between APT and ICAPM for empirical work is in the inspiration for factors. • The APT suggests that one start with a statistical analysis of the covariance matrix of returns and find portfolios that characterize common movement. • The ICAPM suggests that one start by thinking about state variables that describe the conditional distribution of future asset returns and non-asset income.
Asset Pricing Zhenlong •
Asset Pricing Zhenlong
- Capital asset pricing model
- Multifactor pricing models
- Capm model excel
- Capm in excel
- Risk return and capital asset pricing model
- Abb ellipse
- Trading costs of asset pricing anomalies
- Fundamental theorem of asset pricing proof
- Difference between modal and semi modal
- Arbitrage pricing theory and multifactor models
- Factor models
- Scale drawings/models & scale factor
- Understanding scale drawings
- Factor the common factor out of each expression
- Factoring greatest common factor
- Angular frequency to frequency
- Factor isolating questions in research example
- Factor gcf
- Lcm of 48 and 60
- Chapter 2 asset classes and financial instruments
- Chapter 9 transportation and assignment models solutions
- Chapter 17 sampling distribution models
- Ap stats chapter 17 sampling distribution models
- Ap stats chapter 17 sampling distribution models
- Chapter 1 graphs functions and models answers
- Chapter 17: probability models
- Chapter 26 pricing strategies answer key
- Chapter 27 pricing math
- Chapter 11 the price strategy worksheet answers
- Chapter 26 pricing strategies
- Sensory evaluation cryptogram answers
- What is taste bias
- Chapter 3 sensory evaluation the human factor
- What are consumable stores on hand
- Community asset mapping examples
- Asset based consulting
- Ascent asset management
- Composite asset definition
- Ttd and dtd
- Maximo tivoli
- Ibm maximo mobile inventory manager
- Speculative asset meaning
- Social media marketing for asset managers
- Unity asset
- Sysaid it asset management
- Deferred tax asset journal entry
- Tier 1 capital
- Ranked vulnerability risk worksheet
- Real insight
- Nevis asset protection
- What is a monetary asset
- Roof asset management software
- National venture capital association yearbook
- Variance of 3 asset portfolio formula
- Pensum group
- "flwsupport"
- Asset intelligence meaning
- Odyssey asset management
- Contingent function
- Maximo assignment manager application
- Asset management vs project management
- Tva worksheet example
- Asset quality ratio
- Mpez geo
- Premier asset management vision
- Ibm rational asset manager
- Information asset administrator
- It asset management sop