用二项模型计算中国可再生能源投资最优补贴的实物期权估值

Xiaoran Liu, Ehud I. Ronn
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引用次数: 23

摘要

对于可再生能源投资的估价和执行,向私人投资者提供财政激励以加速其投资的问题往往是一个关键组成部分。我们把这一原则应用到中国的环境中。本文的重点是使用二项模型来计算所需的补贴,以激励投资者在项目启动阶段最优地立即行使美国式期权,以促进中国可再生能源投资。此外,本文还旨在将二项模型与先前用于评估适当补贴的更费力的蒙特卡罗模拟进行比较。通过使用相同的数据但不同的方法,并将不确定因素的数量减少到一个,表明这两种方法具有相似的结果,但二项式方法需要的计算量要少得多,并且更具自解释性。因此,本文为政府提供了一种易于实施的替代方法来计算所需的补贴。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the Binomial Model for the Valuation of Real Options in Computing Optimal Subsidies for Chinese Renewable Energy Investments
For the valuation and implementation of renewable energy investments, the issue of providing private investors with a financial incentive to accelerate their investment is frequently a critical component. We apply this principle to the Chinese context. This paper focuses on using the binomial model to compute the required subsidy that would incentivize investors to optimal immediate exercise of the American-style option embedded at the launching phase of the projects for Chinese renewable energy investments. In addition, this paper also aims at contrasting the binomial model with the more-laborious Monte Carlo simulation previously used to evaluate the proper subsidy. By using the same data but a different method, and reducing the number of uncertain factors to one, it is suggested these two methods have similar outcomes but the binomial method requires substantially less computation and is more self-explanatory. This paper thus provides government with an easy-to-implement alternative way to compute the required subsidy.
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