Evidence map›Paper›PMID 33704639›Full record

ArticleEnvironmental science and pollution research international2021

An options pricing method based on the atmospheric environmental health index: an example from SO

Laijun Zhao, Chenchen Wang, Yong Yang, Jian Xue, Deqiang Li

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Laijun ZhaoBusiness School, University of Shanghai for Science and Technology, 516 Jungong Rd., Shanghai, 200093, China.
Chenchen WangSchool of Economics and Management, Shaanxi University of Science and Technology, University Park of Weiyang District, Xi'an, 710021, China. wangchenchen_sust@163.com.ORCID http://orcid.org/0000-0003-0408-9041
Yong YangSchool of Economics and Management, Shaanxi University of Science and Technology, University Park of Weiyang District, Xi'an, 710021, China.
Jian XueBusiness School, University of Shanghai for Science and Technology, 516 Jungong Rd., Shanghai, 200093, China.
Deqiang LiBusiness School, University of Shanghai for Science and Technology, 516 Jungong Rd., Shanghai, 200093, China.

Funding

National Natural Science Foundation of China 71874108National Office for Philosophy and Social Sciences 16BGL146National Office for Philosophy and Social Sciences 18AZD005
6 · The paper itself

Abstract

Environmental finance has gradually become an important tool for solving atmospheric pollution problems. The creation of options based on an atmospheric environmental health index (AEHI) is designed to support a rational pricing of financial products related to the health of the atmospheric environment. To begin with, the improved Ornstein-Uhlenbeck model is established to predict the change in air pollutant concentrations, and then we construct the AEHI by using exposure-response Poisson regression model. In addition, an options pricing method for AEHI is proposed based on Esscher transform theory, and the universal investment strategy for enterprises is formulated to hedge operational risk by using the AEHI option. Finally, we use Beijing city of China, as a case study to demonstrate how to determine the AEHI options prices for two diseases in three age groups, and propose the investment strategy for an insurance enterprise. The AEHI options should therefore be used to compensate for the damage to human health caused by air pollution, and to hedge against the operational risks of related industries.

Indexed as

Air PollutantsAir PollutionBeijingChinaCitiesCosts and Cost AnalysisEnvironmental HealthEnvironmental MonitoringHumansParticulate MatterAir PollutantsParticulate MatterAtmospheric environmental health indexEsscher transformImproved Ornstein-Uhlenbeck modeOperational riskOptions pricing

Identifiers

PMID33704639

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.