Pricing Electricity Day-ahead Cap Futures with Multifactor Skew-t Densities

Matsumoto, T, Bunn, D W and Yamada, Y (2022) Pricing Electricity Day-ahead Cap Futures with Multifactor Skew-t Densities. Quantitative Finance, 22 (5). pp. 835-860. ISSN 1469-7688

Official URL: https://www.tandfonline.com/doi/full/10.1080/14697...

DOI: https://doi.org/10.1080/14697688.2021.1984553

Abstract

Short-term risk management is becoming increasingly significant in power trading as the intermittent renewable generators introduce more weather risk into the price formation dynamics. There is a vacuum in hedging instruments at the day-ahead stage to protect retailers in particular from such volatility and price spikes. Motivated by this requirement, this paper analyses a flexible hedging product, day-ahead cap futures. For pricing this product, we parametrically predict the probability distribution of day-ahead prices using the multifactor Generalized Additive Model for Location, Scale and Shape (GAMLSS) based upon the skew-t distribution with weather forecasts and calendar information as explanatory variables. In particular, we reveal that this higher-order moment model is superior to several lower-order models such as the normal distribution in all the following three aspects: fairness as pricing method, underwriting risk of the risk taker, and the variance reduction effect of the risk hedger.

More Details

Item Type:	Article
Subject Areas:	Management Science and Operations
Additional Information:	© 2021 Taylor & Francis / Informa Group. This is an Accepted Manuscript version of the following article, accepted for publication in Quantitative Finance [awaiting citation on first online publication]. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License https://creativecommons.org/licenses/by-nc-nd/4.0/, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Funder Name:	Japan Society for the Promotion of Science
Date Deposited:	20 Sep 2021 10:36
Date of first compliant deposit:	22 Dec 2021
Subjects:	Pricing Electricity supply industry
Last Modified:	11 Nov 2024 16:26
URI:	https://lbsresearch.london.edu/id/eprint/1963