Modeling the optimal distribution of profits for risk management of oil and gas enterprises

I. Khvostina, V. Oliinyk, Artem Heinrich Wiebe, T. Panevnyk
{"title":"Modeling the optimal distribution of profits for risk management of oil and gas enterprises","authors":"I. Khvostina, V. Oliinyk, Artem Heinrich Wiebe, T. Panevnyk","doi":"10.2991/mdsmes-19.2019.61","DOIUrl":null,"url":null,"abstract":"The article discusses the optimal management of the distribution of net profit of oil and gas enterprises in order to minimize its risks. The constructed utility function acts as a criterion of optimality. Management parameters are fractions of net profit aimed at achieving the final predicted value of the studied variables. To solve this problem, a mathematical apparatus was used, based on the theory of the Pontryagin maximum principle. As a numerical experiment, some options are proposed for optimal management of the distribution of net profit of the National Joint Stock Company Naftogaz of Ukraine for the period 2018-2022. Numerical results are given taking into account the discounting of financial flows. The proposed algorithm allows to obtain the optimal distribution of net profit within one oil and gas enterprise, which includes structural units, as well as on the scale of a group of enterprises united by one governing body that distributes financial resources for risk management. Keywords—profit, oil and gas enterprises, optimal management, utility function, risk","PeriodicalId":246223,"journal":{"name":"Proceedings of the 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSMES 2019)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSMES 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/mdsmes-19.2019.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The article discusses the optimal management of the distribution of net profit of oil and gas enterprises in order to minimize its risks. The constructed utility function acts as a criterion of optimality. Management parameters are fractions of net profit aimed at achieving the final predicted value of the studied variables. To solve this problem, a mathematical apparatus was used, based on the theory of the Pontryagin maximum principle. As a numerical experiment, some options are proposed for optimal management of the distribution of net profit of the National Joint Stock Company Naftogaz of Ukraine for the period 2018-2022. Numerical results are given taking into account the discounting of financial flows. The proposed algorithm allows to obtain the optimal distribution of net profit within one oil and gas enterprise, which includes structural units, as well as on the scale of a group of enterprises united by one governing body that distributes financial resources for risk management. Keywords—profit, oil and gas enterprises, optimal management, utility function, risk
油气企业风险管理中利润最优分配建模
本文探讨了油气企业净利润分配的优化管理,以最大限度地降低风险。构造的效用函数作为最优性的标准。管理参数是净利润的一部分,目的是实现所研究变量的最终预测值。为了解决这个问题,使用了一种基于庞特里亚金极大原理的数学装置。作为数值实验,提出了乌克兰国家石油天然气股份公司2018-2022年净利润分配的优化管理方案。给出了考虑资金流折现的数值结果。提出的算法允许在一个石油和天然气企业(包括结构单位)内以及由一个管理机构统一的一组企业的规模上获得净利润的最优分配,该管理机构分配财务资源进行风险管理。关键词:利润,油气企业,优化管理,效用函数,风险
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信