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我国气温指数衍生品定价的实验研究
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摘要
近年来全球变暖引发气候和天气变化十分频繁且无规律性,导致非灾害性天气带来的风险急剧加大。非灾害性天气风险,是指气温、湿度、降雨量、降雪量、日照等非灾难性天气事件导致企业未来收益和现金流的不确定性。非灾害性天气风险对我国各行各业都有着显著的经济影响,而新生的金融工具天气衍生品能够有效的管理非灾害性天气风险。天气衍生品为天气敏感行业提供了天气风险管理途径,还使投资者获得了利用天气变化赚取利润的机会,目前在国际市场上正以较快的速度发展,我国也应该积极推出天气衍生品
     本文概述了天气衍生品的产生与发展,阐述了其优势与局限并描述了我国目前所面临的非灾害性天气风险现状,分析其对我国国民经济中各行业的影响;接着对天气衍生品的基础指数和金融形式分别作了介绍,并结合具体实例表明了企业是如何使用天气衍生品进行套期保值操作的;接着介绍了天气衍生品的几种定价方法,通过对其进行比较,本文决定使用均衡定价法来定价我国的气温指数衍生品。本文用时间序列模型对南京市2001年1月1日—2010年12月31日间日平均气温数据回归分析得出南京市日平均气温的变化模型,进而基于扩展的Lucas (1978)均衡价格模型计算出气温指数衍生品合约的价格。最后本文对我国应用天气衍生品的前景和基础条件进行分析并对我国开发应用天气衍生品提出了相关的建议。
In recent years, global warming has caused climate and weather changes frequent and irregular, which causes non-disaster weather risks increase sharply. Non-disaster weather risks mean that the non-catastrophic weather events of temperature, humidity, rainfall, snowfall, sunshine and others lead to the uncertainty of company's future earnings and cash flow. Non-disaster weather risks have a significant impact on China's economy and industries, new financial instruments weather derivatives can effectively manage non-disaster weather risks.
     This paper summarizes the current non-disaster weather risk situation China is facing and analyzes its impact on China's national economy. Then makes a presentation on the underlying index and financial style of weather derivatives. And elaborates several controversial pricing methods of weather derivatives. This paper uses the time-series model to analyze the daily average temperature data from January1,2001to December31,2010of Nanjing, which can obtain the daily temperature change model of Nanjing. Moreover the prices for temperature-based index derivatives are calculated on the base of the extending Lucas(1978) model of equilibrium pricing model. Finally, the paper provides relevant recommendations of applying the weather derivatives for China.
引文
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