Evidence map›Paper›PMID 26010900›Full record

ArticlePloS one2015

Modelling and computation in the valuation of carbon derivatives with stochastic convenience yields.

Shuhua Chang, Xinyu Wang

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Shuhua ChangResearch Center for Mathematics and Economics, Tianjin University of Finance and Economics, Tianjin 300222, China; Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China.
Xinyu WangResearch Center for Mathematics and Economics, Tianjin University of Finance and Economics, Tianjin 300222, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anthropogenic greenhouse gas (GHG) emission has risen dramatically during the last few decades, which mainstream researchers believe to be the main cause of climate change, especially the global warming. The mechanism of market-based carbon emission trading is regarded as a policy instrument to deal with global climate change. Although several empirical researches about the carbon allowance and its derivatives price have been made, theoretical results seem to be sparse. In this paper, we theoretically develop a mathematical model to price the CO2 emission allowance derivatives with stochastic convenience yields by the principle of absence of arbitrage opportunities. In the case of American options, we formulate the pricing problem to a linear parabolic variational inequality (VI) in two spatial dimensions and develop a power penalty method to solve it. Then, a fitted finite volume method is designed to solve the nonlinear partial differential equation (PDE) resulting from the power penalty method and governing the futures, European and American option valuation. Moreover, some numerical results are performed to illustrate the efficiency and usefulness of this method. We find that the stochastic convenience yield does effect the valuation of carbon emission derivatives. In addition, some sensitivity analyses are also made to examine the effects of some parameters on the valuation results.

Indexed as

Models, StatisticalCarbon DioxideClimateClimate ChangeCommerceComputer SimulationEnvironmental MonitoringGreenhouse EffectHumansInternational CooperationStochastic ProcessesCarbon Dioxide

Identifiers

PMID26010900
PMCPMC4444343

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.