A Tutorial on Portfolio-Based Control Algorithms for Merchant Energy Trading Operations

N. Secomandi, A Tutorial on Portfolio-Based Control Algorithms for Merchant Energy Trading Operations, Journal of Commodity Markets, 4(1), 1-13, 2016.

Posted: 2 Jul 2015 Last revised: 10 Mar 2017

See all articles by Nicola Secomandi

Nicola Secomandi

Carnegie Mellon University - David A. Tepper School of Business

Date Written: August 22, 2016

Abstract

Merchant energy trading companies operate energy conversion facilities and infrastructure via direct or contractual ownership. Portfolio-based control algorithms are a real option approach that practitioners use to manage these assets. To avoid potential model error, this approach represents the operations of these assets as portfolios of traded financial instruments on energy commodities. Optimization of the portfolio composition subject to the asset operational constraints yields a market-value, an operating policy, and a financial hedge for the asset. We provide a tutorial on this methodology, focusing on examples of natural gas transport and storage assets. We frame the presentation within the typical organizational structure of merchant energy trading companies. We also discuss limitations of this approach and their possible remedies.

Suggested Citation

Secomandi, Nicola, A Tutorial on Portfolio-Based Control Algorithms for Merchant Energy Trading Operations (August 22, 2016). N. Secomandi, A Tutorial on Portfolio-Based Control Algorithms for Merchant Energy Trading Operations, Journal of Commodity Markets, 4(1), 1-13, 2016., Available at SSRN: https://ssrn.com/abstract=2625242 or http://dx.doi.org/10.2139/ssrn.2625242

Nicola Secomandi (Contact Author)

Carnegie Mellon University - David A. Tepper School of Business ( email )

5000 Forbes Avenue
Pittsburgh, PA 15213-3890
United States

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