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An Actuarial Pricing Method for Air Quality Index Options
Poor air quality has a negative impact on social life and economic production activities. Using financial derivatives to hedge risks is one of the important methods. Air quality index (AQI) options are designed to help enterprises cope with the operational risk caused by air pollution. First, the ex...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950684/ https://www.ncbi.nlm.nih.gov/pubmed/31817097 http://dx.doi.org/10.3390/ijerph16244882 |
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author | Liu, Zhuoxin Zhao, Laijun Wang, Chenchen Yang, Yong Xue, Jian Bo, Xin Li, Deqiang Liu, Dengguo |
author_facet | Liu, Zhuoxin Zhao, Laijun Wang, Chenchen Yang, Yong Xue, Jian Bo, Xin Li, Deqiang Liu, Dengguo |
author_sort | Liu, Zhuoxin |
collection | PubMed |
description | Poor air quality has a negative impact on social life and economic production activities. Using financial derivatives to hedge risks is one of the important methods. Air quality index (AQI) options are designed to help enterprises cope with the operational risk caused by air pollution. First, the expanded Ornstein–Uhlenbeck model is established using an autoregressive-generalized autoregressive conditional heteroscedasticity (AR-GARCH) method to predict AQI for a city. Next, the average AQI is constructed to be as the underlying index for the AQI options. We then priced AQI options using an actuarial method with an Esscher transform. Meanwhile payoff functions for the options are established to let enterprises hedge against the operational risk caused by air pollution. Finally, we determined the price of AQI options using data from Xi’an, China, and the example of a tourism enterprise as a case study of how AQI options can be applied to hedge against operational risk for enterprises. With AQI options trading, enterprises can hedge against operational risks caused by air pollution. The applicability of AQI options is wide, it can also be applied in other cities or regions. |
format | Online Article Text |
id | pubmed-6950684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69506842020-01-16 An Actuarial Pricing Method for Air Quality Index Options Liu, Zhuoxin Zhao, Laijun Wang, Chenchen Yang, Yong Xue, Jian Bo, Xin Li, Deqiang Liu, Dengguo Int J Environ Res Public Health Article Poor air quality has a negative impact on social life and economic production activities. Using financial derivatives to hedge risks is one of the important methods. Air quality index (AQI) options are designed to help enterprises cope with the operational risk caused by air pollution. First, the expanded Ornstein–Uhlenbeck model is established using an autoregressive-generalized autoregressive conditional heteroscedasticity (AR-GARCH) method to predict AQI for a city. Next, the average AQI is constructed to be as the underlying index for the AQI options. We then priced AQI options using an actuarial method with an Esscher transform. Meanwhile payoff functions for the options are established to let enterprises hedge against the operational risk caused by air pollution. Finally, we determined the price of AQI options using data from Xi’an, China, and the example of a tourism enterprise as a case study of how AQI options can be applied to hedge against operational risk for enterprises. With AQI options trading, enterprises can hedge against operational risks caused by air pollution. The applicability of AQI options is wide, it can also be applied in other cities or regions. MDPI 2019-12-04 2019-12 /pmc/articles/PMC6950684/ /pubmed/31817097 http://dx.doi.org/10.3390/ijerph16244882 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Zhuoxin Zhao, Laijun Wang, Chenchen Yang, Yong Xue, Jian Bo, Xin Li, Deqiang Liu, Dengguo An Actuarial Pricing Method for Air Quality Index Options |
title | An Actuarial Pricing Method for Air Quality Index Options |
title_full | An Actuarial Pricing Method for Air Quality Index Options |
title_fullStr | An Actuarial Pricing Method for Air Quality Index Options |
title_full_unstemmed | An Actuarial Pricing Method for Air Quality Index Options |
title_short | An Actuarial Pricing Method for Air Quality Index Options |
title_sort | actuarial pricing method for air quality index options |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950684/ https://www.ncbi.nlm.nih.gov/pubmed/31817097 http://dx.doi.org/10.3390/ijerph16244882 |
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