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gupta
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Joined: August 9th, 2005, 8:58 pm

constructing a copula given information for the underlying random variables

August 10th, 2005, 3:38 pm

Dear All,I could not find this question answered in the forum anywhere, although it may seem a simple one.Given random vector u = [u_1; u_2] which is normally distributed with means [0;0] and covariance Q (a 2x2 matrix), can I find a copula describing u? If this is not enough information, what more would I need? And how do I find the copula and is it unique?I'm a bit of a newbie to copulas so I would appreciate a higher level of detail.And many thanks in advance.. I hope the question makes sense!-Gupta
 
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erstwhile
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Joined: March 3rd, 2003, 3:18 pm

constructing a copula given information for the underlying random variables

August 10th, 2005, 5:01 pm

i don't understand precisely what you are asking, but if you are asking this question:given two random variables x and y, with probability density functions p(x) and q(y), as well as their correlation, is there a unique copula function that will allow me to construct their joint probability density P(x,y)?the answer is "no".people often use the gaussian copula as it is simple.the qualitative difference between copulas i think is mainly in the way that tail events end up being linked.if you already know the joint distribution then you can deduce the copula uniquely.
Last edited by erstwhile on August 9th, 2005, 10:00 pm, edited 1 time in total.
 
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madmax
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Joined: October 31st, 2003, 9:56 am

constructing a copula given information for the underlying random variables

August 10th, 2005, 7:43 pm

I don't see any problem, since you already have the joint distribution as you said it is a normal with mean [0,0] and covariance matrix Q.So you have a gaussian copula. you just need to extract your correlation parameter from Q.
 
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zarnywhoop
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constructing a copula given information for the underlying random variables

August 11th, 2005, 6:25 am

I don't think this query really belongs in the Technical forum
 
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erstwhile
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Joined: March 3rd, 2003, 3:18 pm

constructing a copula given information for the underlying random variables

August 11th, 2005, 6:29 am

madmax - my understanding is that he has the two marginal distributions and the cov matrix. this is is less information than the joint distribution, right?
 
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madmax
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constructing a copula given information for the underlying random variables

August 11th, 2005, 6:57 am

QuoteGiven random vector u = [u_1; u_2] which is normally distributed with means [0;0] and covariance Q (a 2x2 matrix)a normally distributed random vector. so the vector[\b] is normally distributed, so you have your joint distribution.
 
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mrmelchi
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Joined: July 14th, 2002, 3:00 am

constructing a copula given information for the underlying random variables

August 13th, 2005, 10:57 pm

I wrote the paper "Which Archimedean Copula is the right one?". It was published in October 2003 by .YieldCurve.com. Currently, paper and spreadsheets are freely available on the following links:PaperExcel SheetExcel SheetPerhaps you could find out a reply to your question.I hope it helps.
Last edited by mrmelchi on August 13th, 2005, 10:00 pm, edited 1 time in total.