The high volatility of commodity prices and various problems that the energy sector has to deal with in the era of COVID-19 have significantly increased the risk of oil price changes. These changes are of the main concern of companies for which oil is the main input in the production process, and therefore oil price determines the production costs. The main goal of this paper is to discover decision rules for a buyer of American WTI (West Texas Intermediate) crude oil call options. The presented research uses factors characterizing the option price, such as implied volatility and option sensitivity factors (delta, gamma, vega, and theta, known as "Greeks"). The performed analysis covers the years 2008-2022 and options with an exercise period up to three months. The decision rules are discovered using association analysis and are evaluated in terms of the three investment efficiency indicators: total payoff, average payoff, and return on investment. The results show the existence of certain ranges of the analyzed parameters for which the mentioned efficiency indicators reached particularly high values. The relationships discovered and recorded in the form of decision rules can be effectively used or adapted by practitioners to support their decisions in oil price risk management.
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Sacred Heart Univ, Jack Welch Coll Business, Fairfield, CT USASacred Heart Univ, Jack Welch Coll Business, Fairfield, CT USA
Gao, Xin
Li, Bingxin
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West Virginia Univ, John Chambers Coll Business & Econ, Ctr Innovat Gas Res & Utilizat, Morgantown, WV 26506 USASacred Heart Univ, Jack Welch Coll Business, Fairfield, CT USA
Li, Bingxin
Liu, Rui
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Duquesne Univ, Palumbo Donahue Sch Business, Pittsburgh, PA USASacred Heart Univ, Jack Welch Coll Business, Fairfield, CT USA
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Shandong Jiaotong Univ, Jinan, Peoples R ChinaShandong Jiaotong Univ, Jinan, Peoples R China
Zou, Mi
Han, Lin
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Macquarie Univ, Sydney, AustraliaShandong Jiaotong Univ, Jinan, Peoples R China
Han, Lin
Yang, Zhini
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Macquarie Univ, Sydney, Australia
Shanghai Futures Exchange, Shanghai, Peoples R China
Fudan Univ, Shanghai, Peoples R ChinaShandong Jiaotong Univ, Jinan, Peoples R China
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Univ Oxford, Oxford, England
Prosper United Investment Co Ltd, Hong Kong, Peoples R China
Fudan Univ, Shanghai, Peoples R ChinaUniv Oxford, Oxford, England
Yang, Zhini
Lepone, Andrew
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Macquarie Univ, Business Sch, Dept Appl Finance, Sydney, AustraliaUniv Oxford, Oxford, England
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Univ Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, BrazilUniv Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, Brazil
dos Santos, Joao Lucas Ferreira
Vaz, Allefe Jardel Chagas
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Fed Technol Univ Parana UTFPR, Grad Program Mech Engn, BR-84017220 Ponta Grossa, BrazilUniv Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, Brazil
Vaz, Allefe Jardel Chagas
Kachba, Yslene Rocha
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Fed Univ Technol Parana UTFPR, Dept Ind Engn, BR-84017220 Ponta Grossa, BrazilUniv Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, Brazil
Kachba, Yslene Rocha
Stevan Jr, Sergio Luiz
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Univ Tecnol Fed Parana, Grad Program Elect Engn, BR-84017220 Ponta Grossa, BrazilUniv Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, Brazil
Stevan Jr, Sergio Luiz
Alves, Thiago Antonini
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Fed Technol Univ Parana UTFPR, Grad Program Mech Engn, BR-84017220 Ponta Grossa, BrazilUniv Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, Brazil
Alves, Thiago Antonini
Siqueira, Hugo Valadares
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Fed Univ Technol Parana UTFPR, Dept Ind Engn, BR-84017220 Ponta Grossa, Brazil
Univ Tecnol Fed Parana, Grad Program Elect Engn, BR-84017220 Ponta Grossa, BrazilUniv Tecnol Fed Parana UTFPR, Grad Program Ind Engn PPGEP, BR-84017220 Ponta Grossa, Brazil
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Lakehead Univ, Dept Econ, 955 Oliver Roabd, Thunder Bay, ON P7B 5E1, CanadaLakehead Univ, Dept Econ, 955 Oliver Roabd, Thunder Bay, ON P7B 5E1, Canada