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    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/124744
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/124744


    Title: 天氣衍生性商品評價與風險管理:CME雨量指數二元式合約之應用
    Valuation and Risk Management of Weather Derivatives: the Application of CME Rainfall Index Binary Contracts
    Authors: 方東杰
    Fang, Dong-Jie
    Contributors: 林士貴
    莊明哲

    Lin, Shih-Kuei
    Chuang, Ming-Che

    方東杰
    Fang, Dong-Jie
    Keywords: 雨量衍生性商品
    馬可夫鏈
    截斷傅立葉級數
    Esscher變換
    風險市場價格
    Precipitation derivatives
    Markov Chain
    Truncated fourier series
    Esscher transform
    Market price of risk
    Date: 2019
    Issue Date: 2019-08-07 16:13:44 (UTC+8)
    Abstract: 本文討論了CME發行之雨量衍生性商品——雨量指數二元式合約之評價與風險管理。標的之雨量指數由兩種模型所刻畫:以一階兩狀態馬爾可夫鏈建立的發生模型,以及以混合指數分配建立的雨量強度模型。爲了捕捉降雨的季節性特徵,上述兩模型中的參數均以截斷傅立葉級數擬合,其中之係數以最大概似估計法估計,階數根據AIC與BIC判定。在以蒙地卡羅模擬獲得日降雨量模擬路徑後,計算月降雨量並以常態逆高斯分配擬合。鑒於天氣衍生性商品市場之不完備性,本文利用Esscher變換對雨量指數二元式選擇權進行評價,並以CME之真實市場價格校準獲得風險市場價格。最後,利用燃燒分析與敏感度分析討論雨量衍生性商品之風險管理。
    In this paper we discuss the valuation and risk management of rainfall index binary contracts, which is a type of precipitation derivatives issued in CME. We describe the underlying rainfall index by occurrence model with first-order, two-state Markov chain, and magnitude model with mixed-exponential distribution. In order to capture the seasonality characteristics of precipitation, the parameters in both models are described with truncated Fourier series, in which the coefficients are fitted by MLE, and the orders are determined by AIC and BIC. We simulate the daily rainfall index by Monte Carlo simulation, and fit the simulated monthly rainfall index with NIG distribution. Since weather derivatives market is an incomplete market, we value the rainfall index binary options by using Esscher transform. The market price of risk is calibrated with real market data from CME. And the risk management of precipitation derivatives is discussed by using burn analysis and sensitivity analysis.
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    Description: 碩士
    國立政治大學
    金融學系
    106352048
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106352048
    Data Type: thesis
    DOI: 10.6814/NCCU201900165
    Appears in Collections:[金融學系] 學位論文

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