Advanced Operator Theory for Energy Market Trading: A New Framework

This paper analyzes a parabolic operator L that generalizes several well-known operators commonly used in financial mathematics. We establish the existence and uniqueness of the Feller semigroup associated with L and derive its explicit analytical representation. The theoretical framework developed in this study provides a robust foundation for modeling stochastic processes relevant to financial markets. Furthermore, we apply these findings to energy market trading by developing specialized simulation algorithms and forecasting models. These methodologies were tested across all assets comprising the S&P 500 Energy Index, evaluating their predictive accuracy and effectiveness in capturing market dynamics. The empirical analysis demonstrated the practical advantages of employing generalized semigroups in modeling non-Gaussian market behaviors and extreme price fluctuations.

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Publication Details

Journal
Risks
Published
2025-06-20
DOI
https://doi.org/10.3390/risks13070118
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced Operator Theory for Energy Market Trading: A New Framework

Michele Bufalo, Viviana Fanelli
Risks
Energy Load and Power Forecasting
article

Advanced Operator Theory for Energy Market Trading: A New Framework

Michele Bufalo, Viviana Fanelli
article en

Abstract

This paper analyzes a parabolic operator L that generalizes several well-known operators commonly used in financial mathematics. We establish the existence and uniqueness of the Feller semigroup associated with L and derive its explicit analytical representation. The theoretical framework developed in this study provides a robust foundation for modeling stochastic processes relevant to financial markets. Furthermore, we apply these findings to energy market trading by developing specialized simulation algorithms and forecasting models. These methodologies were tested across all assets comprising the S&P 500 Energy Index, evaluating their predictive accuracy and effectiveness in capturing market dynamics. The empirical analysis demonstrated the practical advantages of employing generalized semigroups in modeling non-Gaussian market behaviors and extreme price fluctuations.

RisksVol. 13(7)
University of Foggia (IT), University of Bari Aldo Moro (IT)
Affordable and clean energy
Openalex Percentile: Top 88%
Energy Load and Power Forecasting
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Advanced Operator Theory for Energy Market Trading: A New Framework — Michele Bufalo, Viviana Fanelli · Risks (2025) | TGRS Research Map | TGRS