2022
DOI: 10.1007/s10479-022-04723-2
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Financial modeling, risk management of energy and environmental instruments and derivatives: past, present, and future

Abstract: In this preface, we investigate the past, study the present, and look for the future of financial modeling, risk management of energy and environmental instruments, and derivatives based on articles selected in this special issue (SI). We also summarize the significant findings of those articles and identify the research trends.

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Cited by 13 publications
(1 citation statement)
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“…However, despite the fact that the current number of students majoring in business in colleges and universities has been maintained at a large scale, according to the investigation of students' entrepreneurial activities, it is found that the entrepreneurial achievements of financial management students are not satisfactory. This is mainly due to the fact that many students lack the knowledge of innovation and entrepreneurship in the process of entrepreneurship, and it is difficult to apply the learned professional knowledge in the actual entrepreneurship [4] . Compared with traditional financial management, financial managers need to master big data technology, intelligent technology and other advanced information technology to cope with the challenges of the big data era.…”
Section: Introductionmentioning
confidence: 99%
“…However, despite the fact that the current number of students majoring in business in colleges and universities has been maintained at a large scale, according to the investigation of students' entrepreneurial activities, it is found that the entrepreneurial achievements of financial management students are not satisfactory. This is mainly due to the fact that many students lack the knowledge of innovation and entrepreneurship in the process of entrepreneurship, and it is difficult to apply the learned professional knowledge in the actual entrepreneurship [4] . Compared with traditional financial management, financial managers need to master big data technology, intelligent technology and other advanced information technology to cope with the challenges of the big data era.…”
Section: Introductionmentioning
confidence: 99%