Enron Mail

From:tanya.tamarchenko@enron.com
To:mike.fowler@enron.com
Subject:Re: convergence of the Research model
Cc:grant.masson@enron.com, vince.kaminski@enron.com, vincent.tang@enron.com,wenyao.jia@enron.com, william.bradford@enron.com, tanya.rohauer@enron.com
Bcc:grant.masson@enron.com, vince.kaminski@enron.com, vincent.tang@enron.com,wenyao.jia@enron.com, william.bradford@enron.com, tanya.rohauer@enron.com
Date:Wed, 26 Jan 2000 02:58:00 -0800 (PST)

I was curious about the accuracy of our credit reserve model as a function of
the
number of simulations we use. This question, I think, is not so important
when we
calculate credit reserve, because the assumptions underlying our model are
pretty
rough anyway (here I mean the assumptions regarding price processes,
correlations, etc.)

This question becomes more essential when we talk about calculating
sensitivities of the
credit reserve to various factors. When the magnitude of the sensitivity is
comparable
to the accuracy of calculation of the credit reserve, what is the accuracy of
such sensitivity?

I performed a numerical experiment where I calculated the expected loss
for a simple portfolio with one counterparty (SITHE IND POWER) for different
number of simulations (10, 100, 1000, 10000, 100000) using old research
credit model.
You can see how the result converges and the relative error (compared to the
result for 100000 simulations which is assumed to be the most accurate) in
the
attached file.

Tanya.