The jump phenomenons of many financial assets prices have been observed in many empirical papers. In this paper we extend the Heath-Jarrow-Morton model to include the jump component to derive the European-style pricing formula of the interest rate futures options. We use numerical method to simulate the options prices and analyze how each component of HJM model under jump-diffusion processes affects the interest rate futures options. Finally, we utilize LSM method which are presented by Longstaff and Schwartz to derive American options prices and compare it with European options.

Black and Scholes評價模型假設標的資產價格變動行為為服從常態分配的一連續擴散過程(Continuous Diffusion Process)。然而，許多實證研究結果指出相較於常態分配，市場上資產報酬形態多具有厚尾（Fatter Tails）、偏態、高峰態與價格不連續之現象。Merton(1976)提出跳躍擴散模型，在標的資產價格行為服從跳躍擴散程序的假設下，求算選擇權理論價格，有效地解釋市場資產報酬分配型態呈現偏態、高峰態及價格不連續等現象。本文在標的資產價格行為服從Merton（1976）跳躍擴散程序（Jump-Diffusion Process）的假設下，利用Broadie and Glasserman（1997a）所提出之隨機樹狀模型（Random Tree Model）來評價具有提前履約性質的美式選擇權，利用一信賴區間來解決一般美式選擇權模擬估計所產生之偏誤問題。

近年來，能源商品的價格隨著國際政治情勢、國際金融環境以及景氣循環的影響產生劇烈波動，基於避險的需求，衍生性商品交易量也逐漸增加。然而，在評價能源衍生性商品的過程中，即期價格動態模型的選擇對於訂價與避險的結果有著顯著的影響，如何選擇一個適當的動態模型以評價能源商品便成為本文研究的目標。在指數與股價選擇權的評價模型中，大多以Black and Scholes (1973)提出的選擇權評價模型作為基礎，但Black-Scholes模型是否適用於評價能源市場的選擇權價格卻是有待商榷。Schwartz (1997)提出以均數回歸模型 (Mean Reversion Model)描述能源即期價格，發現比Black-Scholes模型中所假設的即期價格動態模型更能描述能源市場即期價格的波動。本研究也考慮能源市場遇到重大事件而造成即期價格產生劇烈波動的情況，因此在模型中加入跳躍項以捕捉價格跳躍的現象。另外，能源商品的需求與季節變化有高度相關性，因此本文亦考量即期價格的變動會受到季節性的變動影響，在模型中加入季節性函數，以補捉季節性的價格變化。基於前述模型考量，本研究在各種描述能源商品即期價格特性的動態模型之下，推導各個模型的期貨選擇權定價公式，進一步測試各模型在金融風暴與非金融風暴期間的訂價誤差與避險誤差，以提供投資人或避險需求者於原油期貨選擇權模型選用上之參考。 / In recent years, the price of energy commodities has fluctuated with the international political situation and the international financial environment. For the sake of hedging demands, the trading volume of derivatives has been gradually increasing. In the process of valuation of energy derivatives, choices of the spot price dynamics model have a significant impact on pricing and hedging. Therefore, how to choose an appropriate dynamic model to evaluate the energy commodities has been main purpose of this study. Two main models are tested in this paper. One is the option pricing model supposed by Black and Scholes (1973), and another is the mean reversion model supposed by Schwartz (1997). This study also considered the volatility of the spot price in the energy market in case of major events, so the researcher adds the jump to explore the mean reversion model. In addition, the demand for energy commodities is highly correlated with seasonal variations. The vibration of spot price often affected by the seasonal variations is considered in the research. Therefore, the researchers also take the seasonal function into the research to capture the seasonal price changes. Based on considerations described above, the pricing formula for each model of futures option is evaluated in the research. The researcher further tests the pricing errors and hedging errors of each model during the financial crises and non-financial crises in order to provide the investors and hedging demanders with some suggestions about selecting oil futures option models.

保險業及再保險業以往對於巨災危險的風險管理方式大部份都佼給全世界的再保險承保能量去承擔。然而從1995年開始，美國芝加哥交易所(CBOT)與產物損失部門(PCS)共同推出巨災保險選擇權，提供保險人以及再保險人利用國際金融市場移轉核保業務上所承擔之巨災危險的管道。此種業務上的巨災危險提供保險業處理巨災損失的新管道，例如產險業因為天然災害或是人為疏失所導致的鉅額核保損失以及壽險業的團體保險和健康保險的鉅額損失。巨災保險選擇權是一種新的衍生性金融商品，其交易標的物是專門針對保險業所承保的業務（尤其是巨災），因此如果運用得當，除了能有效的分散核保風險之外，更可以避免傳統的再保險契約所衍生的問題。 本研究在第一章首先說明台灣地區是地震、颱風以及水患等天然災害頗為集中的地區，因為傳統再保險的分散風險方式有其成本較高以及資訊不對稱的問題，所以保業以及再保險業應該考慮其他類型的危險管理策略。第二章以巨災保險選擇權評價的相關基礎理論為主要的架構，並且探討美國PCS所開發的巨災保險選擇權，並說明如何利用此種金融工具移轉保險與再保險人因地理上的核保因素所產生的風險。 第三章以及第四章討論模擬方法與分析模擬所得的結果，我們並利用情境分析的方式，探討在單位時間內，平均跳躍次數對於每一個模型中假設，交易標的物為損失指數時的影響，以及依此損失指數所得對於巨災保險選擇權價格之變化幅度。第五章則是歸納本研究所得的結果並且提出後續研究的建議。 / The insurance and reinsurance industries traditionally transfer their insurance risk of catastrophe disasters through the international reinsurance market. Since the capacity of the international reinsurance market is not always available to cover the entire risks. In 1995, CBOT (Chicago Board of Trade) and PCS (Property Claims Service) have begun trading the PCS catastrophe options Through the catastrophe options, the insures and reinsures could hedging their operating risks in the international financial market. These risks consist of large amount of underwriting losses from the natural disasters, personal default in property insurance, inflation of claims amount and the large claims in group insurance and health insurance. The loss ratios of the insured business are trading through the catastrophe options. Hedging the operating risks of the insures and reinsures in the financial market could effectively reduce the costs and avoid the complexity from the reinsurance contracts. In this study, we have reviewed the development of the catastrophe option. Asian style call options are illustrated to monitor the process of option pricing. The trading loss ratios are modeled through lognormal distribution based on the claim experience collected from 1970-1996. The methodology of pricing the modified options based on pure jump model proposed by Cox, et al (1976) and the jump diffusion model proposed by Merton (1976) are discussed. Computer simulations and scenario analysis are performed to investigate the pricing of Asian style catastrophe option under various proposed models. Sensitivity analysis is also completed at various parameters in the jump process. Finally, comments on future works and the limitation of the proposed risk-transfer mechanism using catastrophe options are discussed.

欲透過流動性調整模型來探討流動性風險對或有償權的影響，但本篇研究著重於選擇權的分析。根據Feng (2014)，流動性折現因子由市場流動性與股價對市場流動性敏感度所構成，而且此流動性之動態過程具有均數復歸的特性。根據本篇研究結果，價內選擇權和價平選擇權的評價表現比傳統Black-Scholes好，如果進一步將流動性之跳躍性質引入模型，除了價內選擇權和價平選擇權之外，價外選擇權的評價表現亦呈現大幅度的改善。於探討模型評價表現優劣之餘，本篇文章欲更進一步探究市場不流動性對選擇權避險參數的影響。 / This study uses a liquidity-adjusted pricing model to discuss the impact of the liquidity risk on Contingent Claim. However, we focus on the analysis of option. The liquidity discount factor consists of market liquidity and the sensitivity of stock prices to market illiquidity. The dynamic process of market liquidity possesses mean-reversion. Our empirical results show the liquidity model will improve pricing performance for ITM and ATM options. After incorporating diffusive jumps in liquidity, marked improvements in pricing performance for OTM options are observed. In addition, we discuss the impacts of liquidity risk on hedging parameters.

經由愈來愈多的實證研究發現，的確在利率的變動過程中，除了包含連續性行為，即遵循”擴散”模式(diffusion process)，亦包含了不連續性行為，也就是有著跳躍(jump)的情形發生。因此顯示出假設利率隨機過程僅為連續性的擴散模型已是不足夠的，跳躍-擴散模型(Jump-diffusion model)顯然會比純粹擴散模型有著更好的解釋能力。而市場模型(LIBOR market model)的提出，則說明了遠期LIBOR利率模型較能描述市場實際的利率型態，並且可方便使用市場資訊，進行模型參數校準。 所以本研究旨在以LIBOR market model 加上跳躍過程，即遠期LIBOR利率的跳躍-擴散模型，分別針對歐洲美元期貨與利率結構型債券中的滾雪球式累息債券建立評價方法。由於所選用動態模型的複雜度，使得封閉解的求出不易，因此在文中，最後是採用蒙地卡羅模擬法，求兩商品的數值解。在後續研究上，本文還挑出了幾個最直接影響商品價值的因素，如殖利率、波動度、跳躍幅度等，進行各種情境下商品價值的敏感度分析，以提供投資人與發行商在考量風險因子所在時的一個參考。

為了改進Black-Scholes模式的實證現象，許多其他的模型被建議有leptokurtic特性以及波動度聚集的現象。然而對於其他的模型分析的處理依然是一個問題。在本論文中，我們建議使用馬可夫跳躍擴散過程，不僅能整合leptokurtic與波動度微笑特性，而且能產生波動度聚集的與長記憶的現象。然後，我們應用Lucas的一般均衡架構計算選擇權價格，提供均衡下當跳躍的大小服從一些特別的分配時則選擇權價格的解析解。特別地，考慮當跳躍的大小服從兩個情況，破產與lognormal分配。當馬可夫跳躍擴散模型的馬可夫鏈有兩個狀態時，稱為轉換跳躍擴散模型，當跳躍的大小服從lognormal分配我們得到選擇權公式。使用轉換跳躍擴散模型選擇權公式，我們給定一些參數下研究公式的數值極限分析以及敏感度分析。 / To improve the empirical performance of the Black-Scholes model, many alternative models have been proposed to address the leptokurtic feature of the asset return distribution, and the effects of volatility clustering phenomenon. However, analytical tractability remains a problem for most of the alternative models. In this dissertation, we propose a Markov jump diffusion model, that can not only incorporate both the leptokurtic feature and volatility smile, but also present the economic features of volatility clustering and long memory. Next, we apply Lucas's general equilibrium framework to evaluate option price, and to provide analytical solutions of the equilibrium price for European call options when the jump size follows some specific distributions. In particular, two cases are considered, the defaultable one and the lognormal distribution. When the underlying Markov chain of the Markov jump diffusion model has two states, the so-called switch jump diffusion model, we write an explicit analytic formula under the jump size has a lognormal distribution. Numerical approximations of the option prices as well as sensitivity analysis are also given.

信用衍生性商品在市場上交易漸趨熱絡，創新速度更是一日千里，市場上琳琅滿目的信用衍生性商品，投資人要如何審慎客觀評估風險後再檢視自身能承擔的風險後投資，諸如此類的議題在近幾年備受關注。尤其在2007金融海嘯之後，所有信用衍生性產品也無一倖免，信用評等公司對信用衍生性產品的評價，也備受挑戰，因此，辨識風險以及驅避風險在後金融海嘯時期，已是一刻不容緩之待解決問題。固定比例債務債券(Constant Proportion Debt Obligations; CPDO)亦是金融海嘯前一年所發明的創新信用衍生性商品，由於其高收益特性以及強調極低投資風險，吸引了許多投資人爭相購買，但金融海嘯時期，也是付之一炬。為了使投資人更了解此商品的風險，本研究運用在跳躍擴散模型假設下，存在封閉解的雙出場障礙式選擇權複製此商品的風險因子，並且為了描述此商品具有動態調整槓桿的時間相依(Time Dependent)性質，加入了蒙地卡羅模擬法，捕捉任意時點上，投資人面臨的風險，將風險因子拆解選擇權後，也更能讓投資人能以投資選擇權的知識運用到此商品來操作。最後，為了使投資人趨避諸如金融海嘯時期的風險，本研究也用選擇權的Delta 避險策略，替商品虛擬一現貨市場，並模擬出其避險之績效。 / The increasing trading volumes and innovative structures of credit derivatives have attracted great academic attention in the quantification and analysis of their complex risk characteristics. The pricing and hedging issues of complex credit structuers after the 2009 financial crisis are especially vital, and they present great challegens to both the academic community and industry practitioners. Constant Proportion Debt Obligations (CPDOs) are one of the new credit-innovations that claim to provide risk-adverse investors with fixed-income cash flows and minimal risk-bearing, yet the cash-outs events of such products during the crisis unfolded risk characteristics that had been unseen to investors. This research focuses on the pricing risk quantification, and dynamic hedging issues of CPDOs under a Levy jump diffusion setting. Based on decomposing the product's risk structure, we derive explicit closed-form solutions in the form of time-dependent double digital knock-out barrier options. This enables us to explore, in terms of the associated hedging greeks, the embeded risk characteristics of CPDOs and propose feasible delta-netral strategies that are feasible to hedge such products. Numerical simulations are subsequently performed to provide benchmark measures for the proposed hedging strategies.

本文實證探討黃金期貨報酬率的特性並在標的黃金期貨價格遵循狀態轉換跳躍擴散過程時實現美式選擇權之評價。在這樣的動態過程下，跳躍事件被一個複合普瓦松過程與對數常態跳躍振幅所描述，以及狀態轉換到達強度是由一個其狀態代表經濟狀態的隱藏馬可夫鏈所捕捉。考量不同的跳躍風險假設，我們使用Merton測度與Esscher轉換推導出在一個不完全市場設定下的風險中立黃金期貨價格動態過程。為了達到所需的精確度，最小平方蒙地卡羅法被用來近似美式黃金期貨選擇權的價值。基於實際市場資料，我們提供實證與數值結果來說明這個動態模型的優點。 / This dissertation empirically investigates the characteristics of gold futures returns and achieves the valuation of American-style options when the underlying gold futures price follows a regime-switching jump-diffusion process. Under such dynamics, the jump events are described as a compound Poisson process with a log-normal jump amplitude, and the regime-switching arrival intensity is captured by a hidden Markov chain whose states represent the economic states. Considering the different jump risk assumptions, we use the Merton measure and Esscher transform to derive risk-neutral gold futures price dynamics under an incomplete market setting. To achieve a desired accuracy level, the least-squares Monte Carlo method is used to approximate the values of American gold futures options. Our empirical and numerical results based on actual market data are provided to illustrate the advantages of this dynamic model.

Schwarz (1997)提出均數回復過程（Mean-Reverting Process, MR）捕捉能源價格的動態過程，而Lucia and Schwarz (2002)將此模型結合確定季節性函數，並推導出期貨價格封閉解。然而，能源價格常會因為未預期事件的發生而產生大幅度的變動，為了描述價格跳躍的現象，Clewlow and Strickland (2000)延伸Schwarz的模型提出均數回復跳躍擴散模型（Mean-reverting jump diffusion process, MRJD），此模型除了保留均數回復模型對能源價格會回復至長期水準的描述外，再加上跳躍項來描述價格的異常變動。而Cartea and Figueroa (2005)則同時考慮季節性和跳躍因子，並推導出期貨價格封閉解。另外，雖然台灣目前並非京都議定書所規範的國家，但環境保護是未來的趨勢，故在衡量能源產業財務風險時，除了考慮相關原料和產品，應考慮碳權交易之影響。為了探討財務風險管理在能源產業之應用，本文以煉油廠為例，將其表示成特定期貨部位的投資組合，並透過計算投資組合風險值來衡量煉油廠的財務風險。文中使用結合季節性的均數回復過程、均數回復跳躍擴散過程進行模型配適。實證結果顯示，均數回復跳躍擴散模型在回溯測試下表現最佳；另外，考慮碳權交易後會使得煉油廠的財務風險上升。 / Schwarz (1997) proposes the mean-reverting process (MR) to model energy spot price dynamics, and Lucia and Schwarz (2002) extend this model by including mean reversion and a deterministic seasonality. This model can capture the mean-reversion of energy price, but fail to account for the huge and non-negligible price movement in the market. Clewlow and Strickland (2000) extend Schwarz’s model to mean-reverting jump diffusion process (MRJD). Cartea and Figueroa (2005) present a model which captures the most importance characteristics of energy spot prices such as mean reversion, jumps and seasonality, and provide a closed-form solution for the forward. Although Taiwan is not the member of Kyoto Protocol, but Environmental Protection is a trend in the future. In order to measure the financial risk induced by energy industries, we should consider the effect of emission trading. In this paper, we discuss the implication of financial risk management in energy industries by analyzing the exposure of refinery which represented certain energy futures portfolios. We use MR and MRJD process with seasonality to model energy spot price dynamics, and calibrate the parameters to historical data. And, we consider the interaction of all of positions and calculate the Value-at-Risk of portfolios. The results show that among various approaches the MRJD presents more efficient results in back-testing, and emission trading poses additional risk factors which will increase the financial risk for refineries.