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Re: Clarification st: Compute portfolio variance
From
Maarten Buis <[email protected]>
To
[email protected]
Subject
Re: Clarification st: Compute portfolio variance
Date
Mon, 17 Sep 2012 11:55:56 +0200
Good places to start would be:
-help merge-
-help by-
-help egen-
and
-ssc d egenmore-
Hope this helps,
Maarten
On Mon, Sep 17, 2012 at 11:37 AM, André Gyllenram
<[email protected]> wrote:
> Thank you for your answer Alberto. It made me realize that I have to solve this problem in a different way.
>
> I have the historical return data of each of the N stocks in a separate file. It looks like this.
>
>
> date valueStock1 valueStock2 valueStock3 ... valueStock99
> 19980101 4 19 100 33
> 19980102 4 49 109 88
> 19980103 5 60 99 44
> ... ... ... ... ...
> 20070101 9 55 126 66
>
>
>
>
> In another file I have information about the stocks each individual owns at the beginning of every year during a ten year period. I also have the portfolio weights of the stocks that each individual owns. A small part of the data looks like this.
>
>
> individual date portfolioweight Stock
> 1 20000101 0.3 Stock1
> 1 20000101 0.4 stock9
> 1 20000101 0.2 stock56
> 1 20000101 0.1 stock77
> ...
> 1 20010101 0.8 stock88
> 1 20010101 0.2 stock1
> 2 20000101 0.3 stock3
> 2 20000101 0.2 stock25
> 2 20000101 0.4 stock1
> 2 20000101 0.1 stock88
> 2 20010101 1.0 stock22
> ...
> 1897 20000101 0.6 stock23
> 1897 20000101 0.2 stock33
> 1897 20000101 0.2 stock77
>
> I want to compute the portfolio variance for every individual in every time period. Every individual often only own a small number of stocks in every time period.
>
> Is it easy to compute the Var-Cov Matrix if the data is in this format? How do I do that?
>
> I am not familiar with Mata, so any code you have is of interest.
>
> Kind regards
> André Gyllenram
>
>
>
>
>
>
>
>>Hi André.
> > It is hard to see how you are using your dataset to compute your
>> portfolio variance. For example, I do not see where are the weights in
>> your dataset.
>
>> If you had something like a set of vectors (a matrix) of different
>> combinations of portfolio weights for N stocks, and also if you have
>> the Var-Cov Matrix (or the historical return data of each of the N
>> stocks, you can easily compute the Var-Cov matrix), then it is simple
>> to compute all portfolio variances in only one Matrix multiplication.
>> It is faster to use MATA for this. MATA is a computer language that
>> can be invoked from Stata.
>
>> In matrix notation, the variance of a portfolio is:
>> Var(Portfolio) = w' * COV * w
>> Where COV is the Var-Covar matrix of the N returns considered in the
>> portfolio, and w can be either a vector or a set of vectors (matrix)
>> of different portfolio combinations.
>> If N is too big, you can have problems with Mata to do the matrix
>> multiplication, but you can use a loop to do N matrix multiplications
>> using w as a different vector each time.
>
>> Let me know if you want to compute different variance of potfolio
>> combinations, and I can share with you a Mata code I have for doing
>> this.
>
>> I hope this help... Alberto Dorantes
>
>
>
> ----------------------------------------
>> From: [email protected]
>> To: [email protected]
>> Subject: st: Compute portfolio variance
>> Date: Mon, 10 Sep 2012 10:56:21 +0200
>>
>> Hello,
>>
>> I want to compute the portfolio variance for each individual in every time-period.
>>
>> Portfolio variance = (weight(1)^2*variance(1) + weight(2)^2*variance(2) + 2*weight(1)*weight(2)*covariance(1,2)
>>
>> My data-material is in this format:
>>
>>
>>
>>
>>
>> individual date STOCK varISIN1 varISIN2 ... varISIN199 corrSTOCK1STOCK2 corrSTOCK1STOCK3 ... corrSTOCK99STOCK198
>> 1 20000101 stock1 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 1 20000101 stock2 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 1 20000102 stock3 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 1 20000102 stock77 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 1 20000103 stock1 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 2 20000101 stock100 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 2 20000101 stock3 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 2 20000101 stock2 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 2 20000102 stock66 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 2 20000103 stock3 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>> 2 20000103 stock22 .3333333 450.3333 30.33333 .7073684 -.5765567 .1696948
>>
>>
>>
>>
>> The problem is that every individual do not own every stock. I also have a very large number of individuals so I cannot compute the portfolio variance for every individual and date manually.
>>
>>
>> Does anyone have an idea how to do this?
>>
>> Kind regards
>> André Gyllenram
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
--
---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany
http://www.maartenbuis.nl
---------------------------------
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/