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Re: st: RE: Fama-MacBeth regression
From
Richard Herron <[email protected]>
To
[email protected]
Subject
Re: st: RE: Fama-MacBeth regression
Date
Fri, 3 Jan 2014 14:54:13 -0500
You code fails because you subset to both month *and* portfolio, which
is a regression with one data point. I would -reshape long-, then use
-statsby- to run the cross-sectional regression. You could also
-reshape long- then use -xtfmb- from SSC.
Does the following help?
* * * * *
clear
* generate test data
set obs 200
generate date = _n - 1 + ym(1987, 1)
format date %tm
foreach v of newlist bm1 bm2 bm3 size1 size2 size3 {
generate ret`v' = 5 + 10*rnormal()
generate beta`v' = 0.5 + runiform()
}
list in 1/10
* reshape to long
reshape long beta ret, i(date) j(portfolio) string
preserve // I'll show two ways to do the Fama-MacBeth
* then run cross-sectional regression each month
statsby, by(date) clear: regress ret beta
format date %tm
list in 1/10
* generate time series means and SEs
summarize, detail
collapse (mean) mean_beta = _b_beta ///
mean_alpha = _b_cons ///
(semean) se_beta = _b_beta ///
se_alpha = _b_cons
list
* could also use xtfmb package from SSC
restore
encode portfolio, generate(p)
xtset p date
xtfmb ret beta
On Fri, Jan 3, 2014 at 2:08 PM, Francis, Richard N <[email protected]> wrote:
> Adrian,
>
> I'm sorry. Hope you find what you need!
>
> Rick Francis
> Associate Professor
> Department of Accounting
> College of Business Administration
> University of Texas at El Paso
> 500 W. University Avenue
> El Paso, TX 79968
> Office: 915-747-7953
> FAX: 915-747-8618
> Email: [email protected]
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On Behalf Of Adrian Stork
> Sent: Friday, January 03, 2014 12:02 PM
> To: [email protected]
> Subject: Re: st: RE: Fama-MacBeth regression
>
> Dear Rick
>
> Thank you for answering. I know about that side and that code and I also would use it but unfortunately to use it I would need to get my dataset (as described below) into a panel dataset which as simple as it sounds at the beginning is not as easy because I have 306 rows (i.e. months) and 201 columns (one column for the date, 100 columns for the portfolios, and 100 columns for the estimated coefficients from first-pass regressions). And simply reshaping does not help because it only reshapes either the portfolios or the coefficients).
> Also Mitch Petersen's fm-code does not include the first-pass regression.
>
> Best,
> Adrian
>
> 2014/1/3 Francis, Richard N <[email protected]>:
>> Adrian,
>>
>> Attached is the Stata code for the FM regression.
>>
>> Code is from Mitch Petersen (http://www.kellogg.northwestern.edu/faculty/petersen/htm/papers/se/se_programming.htm).
>>
>> Good luck!
>>
>> Rick Francis
>> Associate Professor
>> Department of Accounting
>> College of Business Administration
>> University of Texas at El Paso
>> 500 W. University Avenue
>> El Paso, TX 79968
>> Office: 915-747-7953
>> FAX: 915-747-8618
>> Email: [email protected]
>>
>>
>> -----Original Message-----
>> From: [email protected]
>> [mailto:[email protected]] On Behalf Of Adrian
>> Stork
>> Sent: Friday, January 03, 2014 11:23 AM
>> To: [email protected]
>> Subject: st: Fama-MacBeth regression
>>
>> Dear all
>>
>> I'm trying to run a second-pass cross-sectional regression which is part of what finance researchers call a Fama-MacBeth regression.
>> I managed to get the beta-coefficients from the first-pass regression but now I'm stuck at the second-pass CSR.
>> So my dataset looks currently like this (time period starts in 1987m7 and ends 2012m12):
>>
>>
>> ________________portfolios________________________
>> _________________coefficients__________________________
>>
>> date2 exsize_1 exsize_2 exsize_3 exbm_1 exbm_2 exbm_3 betaexsize_1 betaexsize_2 betaexsize_3 betaexbm_1 betaexbm_2 betaexbm_3
>> .... etc.
>> 1989m6 .31 3.41 3.10 2.83 2.25 1.02 .64 .68 .67 .63 .76 .65
>> 1989m7 1.16 1.85 4.93 9.40 3.31 4.65 .64 .68 .67 .63 .76 .65
>> 1989m8 2.45 2.94 6.85 4.50 3.82 4.76 .64 .68 .67 .63 .76 .65
>> 1989m9 -.60 1.38 -1.56 2.69 -.72 -1.38 .64 .68 .67 .63 .76 .65
>> 1989m10 -1.46 -1.41 -.89 .11 -1.25 1.89 .64 .68 .67 .63 .76 .65
>> etc.
>>
>> Now I need to regress at each individual month all the portfolios against the their estimated coefficient.
>> But that is exactly what I'm not able to manage. In the end there should be one figure at each time period t which corresponds to the new coefficient from the individual cross-sectional regressions As you can see I merely added the prefix "beta" for the coefficients with respect to its portfolio.
>>
>> The best I could come with is the following:
>>
>> .ds ex*
>>
>> .forval i=330/635{
>> .foreach v of varlist `r(varlist)' {
>> . regress `v' beta`v' if date2==`i'
>> . gen lambda`v' = _b[beta`v']
>> .}
>> .}
>>
>> but here the error message is "insufficient observations" although all obsevations are nonmissing.
>> I know there is a code from Kellog University
>> (http://www.kellogg.northwestern.edu/faculty/petersen/htm/papers/se/fm
>> .ado) but that does not include the first pass regression and brings
>> me to the same point. Also I want to understand the entire procedure and follow my results.
>> Thus, does anyone have an idea how to retrieve the second pass regression coefficients (the beta coefficient in the second pass regression is perfectly fine and enough - no need for the constant or the residuals right now).
>> I guess reshaping the dataset might also be an alternative beginning compared to the code I wrote above.
>>
>> Best,
>> Adrian
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/faqs/resources/statalist-faq/
>> * http://www.ats.ucla.edu/stat/stata/
>
> *
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>
> *
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