标题: List of Assumptions.. [打印本页] 作者: dreampak 时间: 2011-7-13 15:20 标题: List of Assumptions..
Does anyone in their notes have a list of all the assumptions for the various models for the exam? I think this would be very helpful since it seems like a lot of the multiple choice questions stem from assumptions based on which ones are correct and which ones are not.作者: needhelp1700 时间: 2011-7-13 15:20
Might as well start compiling a set of assumptions...
APT:
1. Factor model describes asset returns
2. Many asset and investors diversify to eliminate non-systematic risk
3. No arbitrage opportunities among portfolios作者: bingbingliang 时间: 2011-7-13 15:20
not yet but will be.作者: wxs1986 时间: 2011-7-13 15:20
APT does not required investment in the market portfolio, while CAPM does.作者: SeanWest 时间: 2011-7-13 15:20
Dude do you have any idea how many assumptions there are? Just make your own notes.作者: b_sea93 时间: 2011-7-13 15:20
APT:
Asset Returns explained by factor models
Asset specific risk can be diversified away
Assets are priced so that there are no arbitrage possibilities
APT is an Equilibrium Pricing Model
Indicates what Er should be under no arb assumptions
Macroeconomic Multifactor models are adhoc
Multifactor return models are time series regression models that explains variation in one asset
Intercept return in Macro model= assets expected return (not Risk free rate like APT or Capm)
Mulitfactor models, factors represent "surprises" vs APT where factors are risk premia.作者: MiniMe7 时间: 2011-7-13 15:20
muffin09 Wrote:
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> Dude do you have any idea how many assumptions
> there are? Just make your own notes.
Not that many (I think). Off the top of my head:
1/ Regression assumptions
2/ MM assumptions
3/ CAPM and APT
4/ Extended CAPM vs ICAPM
Those multifactor models things are not really assumptions, are they? I think they just explain what the models mean.作者: wilslm 时间: 2011-7-13 15:21
Assumptions of the linear regression model:
1. Relationship between X and Y is linear in the parameters b0 and b1
2. Independent variable x is not random
3. expected value of the error term is 0: E(e) = 0
4. Variance of the error term is the same for all observations
5. Error term is uncorrelated across observations
6. Error term is normally distributed
There are also 6 assumptions for multiple regressions but I think they are basically the same. I think as long as you get these you're good.
I guess I need to look at 2,3, and 4 from above. Don't know them too well
