本文分為兩部分，首先針對中國結構型商品作分析，接著對交換率之波動度作研究。中國結構型商品方面，選定中國大陸招商銀行所發行金葵花寶礦掘金理財產品作介紹，並針對其產品條款進行評價，最後作敏感度分析。由於此產品連結五檔標的股票，且產品條款中含有多重新奇選擇權特性，包含多因子選擇權、履約價平均式選擇權、界限選擇權、數據選擇權，因此沒有封閉解，所以在假設所連結標的股票價格為對數常態分配下，選擇蒙地卡羅模擬法(Monte Carlo Simulation)進行評價。交換率(Swap Rate)之波動度方面，利用Fabio Mercurio與Andrea Pallavicini所發表文章中提出的一套波動度校正方法，根據Hagan等人在2002年文章提出的SABR模型(SABR Model)，從利率交換選擇權的波動度之市場報價與固定期利率交換的價差之市場報價，校正出市場與非市場報價的利率交換選擇權的交換率之波動度，接著估計出固定期交換率之凸性調整項(Convexity Adjustment, CA)，進而求算出固定期利率交換之價差的模型價格，並與利用Black模型(Black Model)所進行的波動度校正方法作比較。

歐式信用違約交換選擇權通常都以短天期較富流動信，造成這樣情形的原因很可能是因為長天期的信用違約交換選擇權必須承擔標的公司的倒閉風險。美式信用違約交換選擇權讓持有者可以在選擇權到期以前履約，這使得持有者可以只注意信用違約交換溢酬的變動，而不必擔心標的公司的倒閉風險。在這篇論文當中，我們結合最小平方法以及單期信用違約溢酬模型評價美式信用違約交換選擇權，其中單期信用違約溢酬模型是由布瑞格在2004年所發表的模型。本篇論文評價方法的最大優點在於此方法類似於利率理論的市場模型，因此我們可以利用類似的想法評價任何與信用違約交換合約相關的信用衍生性商品。 / The most liquid European CDS options are usually of short maturities. This may result from that options with longer maturity have to bear more default risk of the reference company. American CDS options allow the holders to exercise options before option matures so that they can focus on spread movements without worrying about default risk. In this paper, we price American CDS options with one-period CDS spread model presented by Brigo (2004). The primary advantage of this model is that it is similar to LIBOR market model in interest rate theory. Therefore, path-dependent CDS-related products can be easily priced with familiar ideas.

本研究分為兩個部份，第一部份提出評價選擇權時，應考慮加價利益(Mark-Up Interest)的觀點，第二部份則提出信用違約交換選擇權的新評價模型。 在第一部份，所謂加價利益是指選擇權賣方為彌補採取避險組合後仍可能發生的損失而向選擇權買方收取的風險補償。本研究的方法是將選擇權市價拆解成理論公平賭局價格與加價利益，建立包含加價利益、買賣權平價理論、隱含標的價格與猜測波動度的選擇權評價模型，解決隱含波動度微笑(implied volatility smile)所帶來模型內部不一致的問題。在建立各種情境條件下之加價利益後，可用來評估選擇權市價的合理性，以提升買賣雙方對市價的合理判斷，有利於風險管理者進行選擇權之造市操作與避險。本研究經由對台指選擇權(TXO)的實證結果發現：加價利益受到距到期交易日、價況程度(moneyness)及猜測波動度的影響。 第二部份所提出之信用違約交換選擇權的新評價模型則是延伸Schonbucher ( 2000, 2003, 2004 )、Brigo ( 2004, 2005a, 2005b, 2006 )、Brigo & Mercurio ( 2006 )、Brigo & Morini ( 2005 )、Jamshidian ( 2004 ) 與Wu ( 2006 ) 的研究，以市場上交易之各年期信用違約交換之商品所導出之費率期間內之各單期( single tenor )遠期信用違約交換率之費率端價值做為計價資產，假設各單期遠期違約交換率為對數常態分配下，可以將信用違約交換選擇權拆解為由各單期加總之違約交換選擇權，應用在投資銀行發行許多相同標的但不同起始日、不同到期日之一系列信用違約交換選擇權( CDS options )時，可以具有評價簡易的優勢，吻合各期間之信用市場狀況，避免套利機會，並能運用信用違約交換( CDS )，增進避險與管理信用風險之技術。 / This thesis is composed of two parts. The first part is the standpoint of the “Mark-Up Interest” on options. The second part is the new model about pricing and hedging on credit default swap options. In the first part, the Mark-Up Interest is regarded as the reward on the hedging portfolio to compensate for possible losses. For presenting this, options market prices are decomposed into the fair-game options prices and the Mark-Up Interests. The options pricing model formed with the Mark-Up Interest, put-call parity, implied underlying price, and guessed volatility is used to solve the internal inconsistence caused by the implied volatility smiles. Therefore, the justness of the options market prices could be estimated with the Mark-Up Interests under different scenarios. The result will help the risk manager to do market making and hedging. The empirical results based on the Options on Taiwan Stock Exchange Weighted Stock Index (TXO) in this paper are as follows: The trading days to expiry, moneyness, and guessed volatility are the factors affecting the Mark-Up Interests. The second part of this thesis extends the research on Schonbucher ( 2000, 2003, 2004 ), Brigo ( 2004, 2005a, 2005b, 2006 ), Brigo & Mercurio ( 2006 )、Brigo & Morini ( 2005 ), Jamshidian ( 2004 ) and Wu ( 2006 ). We use the fee leg of the single tenor forward credit default swap rate ( tenor CDS rate ) as numeraire. Under the lognormal distribution assumption on the tenor CDS rate, we decompose a credit default swap option into the sum of tenor CDS options. The result can be used by investment banks to manage credit risk when their derivative book consists of different start-date and end-date CDS options. In addition, our result shows that CDS can be used to hedge against the risk of CDS options. The proposed method helps improve the techniques of hedging and managing credit risk.