Digital options, the basic building blocks for valuing complex financial assets, they play an important role in options valuation and hedging. We survey the digital options pricing formula under diffusion processes and jump-diffusion processes. Since the existent first-touch digital options pricing formulas with jump-diffusion processes are all in their Laplace transform of the option value. To inverse the Laplace transforms is critical when doing options valuation. Therefore, we adopt a phase-type jump-diffusion model which is developed by Chen, Lee and Sheu [2007] as our main model, and use FFT inversion to get the first-touch digital option price under (2,2)-factor exponential jump-diffusion processes.

This dissertation includes two topics. For the first topic about the housing price jump risk, we use EM gradient algorithms to estimate parameters of the jump diffusion model and test whether the US monthly housing price have jump risk during 1986 to 2006. Then, in order to obtain a viable pricing framework of mortgage insurance contracts, this paper uses the jump diffusion processes of Merton (1976) to model the dynamic process of housing price. Using this model, we investigate the impact of price jump risk on the valuation of mortgage insurance premium from jump intensity, abnormal volatility of jump size and normal volatility. Empirical results indicate that the abnormal volatility of jump size has the most significant impact on the mortgage insurance premium. For the second topic about the catastrophe risk, we investigate that, for catastrophic events, the assumption that catastrophe claims occur in terms of the Poisson process seems inadequate as it has constant intensity. We propose Markov Modulated Poisson process to model the arrival process for catastrophic events. Under this process, the underlying state is governed by a homogenous Markov chain, and it is the generalization of Cummins and Geman (1993, 1995), Chang, Chang, and Yu (1996), Geman and Yor (1997) and Vaugirard (2003a, 2003b). We apply Markov jump diffusion model to derive pricing formulas for catastrophe insurance products, included catastrophe futures call option, catastrophe PCS call spread and catastrophe bond. We use the data of PCS index and the annual number of hurricane events during 1950 to 2004 to test the quality of the fitting under the Markov Modulated Poisson process and the Poisson process. We reach the conclusion that the Markov Modulated Poisson process is fitter than the Poisson process and Weiner process in modeling the arrival rate of hurricane events when pricing three insurance products. Hence, if different status of climate environment has significant different arrival intensity in real economy, using jump diffusion model to evaluate CAT insurance products could cause significant mispricing.

Jump-diffusion models can under certain assumptions be expressed as partial integro-differential equations (PIDE). Such a PIDE typically involves a convection term and a nonlocal integral like for the here considered models of Merton and Kou. We transform the PIDE to eliminate the convection term, discretize it implicitly using finite differences and the second order backward difference formula (BDF2) on a uniform grid. The arising dense linear system is solved by an iterative method, either a splitting technique or a circulant preconditioned conjugate gradient method. Exploiting the Fast Fourier Transform (FFT) yields the solution in only $O(n\log n)$ operations and just some vectors need to be stored. Second order accuracy is obtained on the whole computational domain for Merton's model whereas for Kou's model first order is obtained on the whole computational domain and second order locally around the strike price. The solution for the PIDE with convection term can oscillate in a neighborhood of the strike price depending on the choice of parameters, whereas the solution obtained from the transformed problem is stabilized. / Master of Science

In this thesis, modelling with L&eacute / vy processes is considered in three parts. In the first part, the general geometric L&eacute / vy market model is examined in detail. As such markets are generally incomplete, it is shown that the market can be completed by enlarging with a series of new artificial assets called &ldquo / power-jump assets&rdquo / based on the power-jump processes of the underlying L&eacute / vy process. The second part of the thesis presents two different methods for pricing European options: the martingale pricing approach and the Fourier-based characteristic formula method which is performed via fast Fourier transform (FFT). Performance comparison of the pricing methods led to the fact that the fast Fourier transform produces very small pricing errors so the results of both methods are nearly identical. Throughout the pricing section jump sizes are assumed to have a particular distribution. The third part contributes to the empirical applications of L&eacute / vy processes. In this part, the stochastic volatility extension of the jump diffusion model is considered and calibration on Standard&amp / Poors (S&amp / P) 500 options data is executed for the jump-diffusion model, stochastic volatility jump-diffusion model of Bates and the Black-Scholes model. The model parameters are estimated by using an optimization algorithm. Next, the effect of additional stochastic volatility extension on explaining the implied volatility smile phenomenon is investigated and it is found that both jumps and stochastic volatility are required. Moreover, the data fitting performances of three models are compared and it is shown that stochastic volatility jump-diffusion model gives relatively better results.

A Constant Proportion Debt Obligation is a credit derivative which has been introduced to generate a surplus return over a riskless market return. The surplus payments should be obtained by synthetically investing in a risky asset (such as a credit index) and using a linear leverage strategy which is capped for bounding the risk. In this thesis, we investigate two approaches for investigation of constant proportion debt obligations. First, we search for an optimal leverage strategy which minimises the mean-square distance between the final payment and the final wealth of constant proportion debt obligation by the use of optimal control methods. We show that the optimal leverage function for constant proportion debt obligations in a mean-square sense coincides with the one used in practice for geometric type diffusion processes. However, the optimal strategy will lead to a shortfall for some cases. The second approach of this thesis is to develop a pricing formula for constant proportion debt obligations. To do so, we consider both the early defaults and the default on the final payoff features of constant proportion debt obligations. We observe that a constant proportion debt obligation can be modelled as a barrier option with rebate. In this respect, given the knowledge on barrier options, the pricing equation is derived for a particular leverage strategy.

建立適當的資本投資決策，對於企業未來的發展具有深遠的影響。如何能擬定出適合的資本預算計畫，以增加公司的成長機會與競爭能力，便是當前重要的課題。本論文以三個階段探討企業投資歷程中所具有的實質選擇權評價：包括對於計畫案擬定之初期，進行投資機會價值評估的實質成長選擇權。以及針對投資計畫開始進行時，管理者所擁有的各種管理彈性，如遞延、擴張、縮減與暫停投資的決策彈性，進行多重實質選擇權的價值評估。最後，針對未能順利成功的計畫案，管理者擁有將其永遠放棄，以收回投資成本殘值的實質放棄選擇權價值進行評估。 　　對於第一階段的成長選擇權價值評估，本文已建立出同時考量標的資產與投資成本隨機變動，以及標的資產存在不連續跳躍特性下的選擇權評價封閉解，結果可用來評估計畫方案擬定初期的實質成長選擇權價值。若將評價模式中的參數進行限制，則本模型將會分別退化至Black and Scholes(1973), Merton(1976), Fischer(1978), Margrabe(1978), McDonald and Siegel(1985)等重要的選擇權評價文獻，可知本文已獲致較一般化的評價模型。 　　在第二階段的多重實質選擇權價值評估，本文採用Trigeorgis(1991)所建立的對數轉換二項評價模式，再加入跳躍模型的考量，以符合科技產業所具有的創新、競爭特性，期較能合理評估其價值，也獲得了較一般化的評價模式。再者，本文以模擬方式對於管理者在投資計畫的進行過程中所擁有的遞延、擴張、縮減以及暫停投資等彈性決策價值進行評估，以彰顯出利用實質選擇權評價方法進行彈性決策價值評估的必要性。由數值分析的結果得到，當多個實質選擇權同時存在時，其間將產生不同程度的交互作用，因此並不能直接將個別價值予以加總來求算整體的實質選擇權價值。不過，每項管理彈性的加入對於整體價值的增加皆具有正向貢獻。 　　對於第三階段的放棄選擇權價值評估，本文建立同時存在多項投資方案下的實質放棄選擇權評價模型，結果可用來評估研發計畫方案未能成功時的實質放棄選擇權價值。此外，本文進一步對於此評價模型進行數值分析，並將所得到的結果歸納如下：(1)方案間價值變動相關係數對於實質放棄選擇權價值的影響上，有相關係數越高時，實質放棄選擇權的價值就越高的現象。(2)殘值回收比率較高時，若採取較多的投資計畫方案，將可以獲致較高的實質放棄選擇權價值，此結果可作偽管理者在選擇備抵方案數目時的參考。(3)對於敏威性分析的探討，發現到當殘值增加、利率下降以及剩餘期間較長時，實質放棄選擇權的價值是增加的，此現象與賣權特性結果一致。 　　因此，本文針對企業投資歷程中所具有的實質選擇權評價進行深入探討，分別建立選擇權評價模型，也獲致了較以往模型更一般化的評價結果。並於各評價模型建構完成後，輔以數值模擬與敏感性分析，以進一步說明本文所建構模型之一般性與合理性。最後，希望此結果有助於日後企業對於投資價值評估時之參考，並可彌補此類研究文獻的不足。 / This dissertation presents three essays, each provides a general real option pricing model. In the first essay, we derive a generalized option pricing formula for the case of the underlying asset and exercise price both being driven by a mixture of continuous and jump diffusion processes. Our pricing model is a generalized version of Black and Scholes(1973), Merton(1976), Fischer(1978), Margrabe(1978), and McDonald-Siegel(l 985). And each of the historical model is shown to be a special case of ours. We then use the model developed in this article to evaluate real growth options where the underlying assets follow jump diffusion processes. The second essay develops a multi-option pricing model incorporating jump characteristics. The model we provide here can be used to value various types of flexibilities, including the option to defer, the option to shut down, the option to contract, and the option to expand. Based on our numerical results, we find that the model can deal with the interactions among these options. The third essay considers an abandonment option on the maximizing value of several investment projects. Here we develop a model to evaluate R&D projects that may not be accomplished. We show that both Black-Scholes's model and Stuiz's model are special cases of ours under certain restrictions on parameters. From the simulation results, we find a positive relation between the correlation of project value changes and the value of the real abandonment options. Furthermore, our simulation results show that the higher the percentage of recovering salvage value, the more number of investment projects should be carried out. The result we find can help managers to choose the better backup projects. Our sensitivity analysis shows that the value of the real abandonment options increase when the riskless interest rate decreases, and at the same time the salvage value and the time to maturity increase.

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