Cross Sectional Analysis
Posted: Sat Jul 19, 2014 11:57 am
Hello All,
I am new to eviews and need to do some analysis for my homework. I hope I am creating the topic to the right place and glad if someone can answer it.
I am working on an APT model, which has 4 variables. I was able to identify the significant variables with time series regression but as a second step, I need to run a cross sectional regression:
'However, CRR used a version of the Fama-MacBeth (1973, 1974) technique which consists of a two-stage regression. The first set of regressions estimates the portfolios' exposures to pricing factors (betas). The second set of regressions estimates the market prices for the beta values obtained from the first set of regressions.The result of this two-stage regression methodology is to generate time series of estimated premia for each risk factor.'
I should be using the mean returns and regress it with the coefficients found in time series regression; but can someone explain how I might do that?
It might be easy question (I am sure it is!) but I would be glad if you can provide how I might achieve it.
Thanks in advance!
I am new to eviews and need to do some analysis for my homework. I hope I am creating the topic to the right place and glad if someone can answer it.
I am working on an APT model, which has 4 variables. I was able to identify the significant variables with time series regression but as a second step, I need to run a cross sectional regression:
'However, CRR used a version of the Fama-MacBeth (1973, 1974) technique which consists of a two-stage regression. The first set of regressions estimates the portfolios' exposures to pricing factors (betas). The second set of regressions estimates the market prices for the beta values obtained from the first set of regressions.The result of this two-stage regression methodology is to generate time series of estimated premia for each risk factor.'
I should be using the mean returns and regress it with the coefficients found in time series regression; but can someone explain how I might do that?
It might be easy question (I am sure it is!) but I would be glad if you can provide how I might achieve it.
Thanks in advance!