Enron Mail

From:chris@lacima.co.uk
To:vkaminski@aol.com, julie@lacima.co.uk
Subject:Re: Comments
Cc:les@lacimagroup.com, vkamins@enron.com
Bcc:les@lacimagroup.com, vkamins@enron.com
Date:Tue, 17 Oct 2000 13:11:00 -0700 (PDT)

Hi Vince,

Sorry to have missed you in Paris. Many thanks for your comments - they've
now been incorporated and sent to EPRM. Things are crazy at the moment, but
hopefully will calm down in a couple of weeks and we'll have time to catch
up better.

Best regards.

Chris.



----- Original Message -----
From: <VKaminski@aol.com<
To: <julie@lacima.co.uk<
Cc: <les@lacimagroup.com<; <vkamins@enron.com<; <chris@lacima.co.uk<
Sent: Sunday, October 15, 2000 11:06 AM
Subject: Comments


< Julie,
<
< Sorry for the delay. Here are he comments.
<
< Vince
<
< ************************************
<
< Sorry for long delay in responding. I have a few comments. Most are
focused
< on the third article as here is till time to make modifications.
<
< 1. In the second article, I would mention that the formulation of the
mean
< reversion process represents one of several possible equations that
capture
< the same type of market evolution of prices over time.
< 2. One comment that applies to both articles. The problem is how one
defines
< the time series of energy prices. The numbers used for Australian NSW pool
< prices seem to correspond to chronological prices. One alternative
approach
< is to build different time series for the corresponding time intervals for
< each day. This would result in different price behavior and estimates of
< jump. The choice is one of convenience and depends on actual problem under
< investigation. One could argue that volumes of electricity traded during
< different time slots represent different economic commodities.
< Figure 3a (Jump Frequency) has units on the vertical axis that require
< explanation. Are we talking about an expected number of jumps in the total
< number of half hourly periods in a year? The same goes for f in Table 2
< (article number 3).
<
<