Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/49668
DC FieldValueLanguage
dc.contributor.advisor陳松男zh_TW
dc.contributor.advisorChen, Son Nanen_US
dc.contributor.author傅瑞彬zh_TW
dc.contributor.authorFu, Jui Pinen_US
dc.creator傅瑞彬zh_TW
dc.creatorFu, Jui Pinen_US
dc.date2008en_US
dc.date.accessioned2010-12-08T08:19:19Z-
dc.date.available2010-12-08T08:19:19Z-
dc.date.issued2010-12-08T08:19:19Z-
dc.identifierG0893525031en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/49668-
dc.description博士zh_TW
dc.description國立政治大學zh_TW
dc.description金融研究所zh_TW
dc.description89352503zh_TW
dc.description97zh_TW
dc.description.abstract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。\n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。\n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。zh_TW
dc.description.abstractThis 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.\nIn 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.\nThe 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.en_US
dc.description.tableofcontents目 錄\n第壹章 緒論................................................1\n第貳章 選擇權賣方有利可圖嗎? 加價利益的觀點...................3\n第一節 簡介................................................3\n第二節 模型介紹............................................3\n (一) 模型..............................................5\n第三節 實證結果............................................9\n第四節 結論...............................................15\n第叁章 信用違約交換選擇權的評價與避險........................16\n第一節 簡介...............................................16\n第二節 模型介紹...........................................16\n (一) 債權評價與違約評價模型.............................17\n (二) 在預存計價單位測度下之交換率與交換選擇權.............19\n (三) Black-Scholes公式近似值在遠期信用違約交換選擇權之應\n 用..............................................20\n第三節 實證結果...........................................24\n第四節 模型應用...........................................31\n第五節 結論...............................................33\n第肆章 結論..............................................35\n參考文獻..................................................36\n附錄.....................................................39zh_TW
dc.format.extent97132 bytes-
dc.format.extent141829 bytes-
dc.format.extent129031 bytes-
dc.format.extent122138 bytes-
dc.format.extent143456 bytes-
dc.format.extent362325 bytes-
dc.format.extent567025 bytes-
dc.format.extent134304 bytes-
dc.format.extent109957 bytes-
dc.format.extent282316 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0893525031en_US
dc.subject加價利益zh_TW
dc.subject選擇權zh_TW
dc.subject猜測波動度zh_TW
dc.subject信用違約交換選擇權zh_TW
dc.subject遠期信用違約交換率zh_TW
dc.subject信用風險zh_TW
dc.subjectMark-Up Interestsen_US
dc.subjectoptionsen_US
dc.subjectguessed volatilityen_US
dc.subjectcredit default swap optionen_US
dc.subjectforward credit default swap rateen_US
dc.subjectcredit risken_US
dc.title選擇權與信用衍生性商品之研究zh_TW
dc.titleEssays on Options and Credit Derivativesen_US
dc.typethesisen
dc.relation.referenceBakshi, G., & Kapadia, N. 2003. Delta-hedged gains and the negative market volatility risk premium. Review of Financial Studies, 16(2): 527-566.zh_TW
dc.relation.referenceBlack, F., & Scholes, M. 1973. The pricing of options and corporate liabilities. Journal of Political Economy, 81(3): 637-659.zh_TW
dc.relation.referenceBrigo, D., & Mercurio, F. 2000. A mixed-up smile. Risk, 13(9): 123-126.zh_TW
dc.relation.reference______. 2001. Displaced and mixture diffusions for analytically-tractable smile models. In H. Geman, D. Madan, S. Pliska, & A.Vorst (Eds.), Mathematical finance-Bachelier congress 2000: 151-174. Berlin: Springer-Verlag.zh_TW
dc.relation.reference______. 2002. Lognormal-mixture dynamics and calibration to market volatility smiles. International Journal of Theoretical and Applied Finance, 5(4): 427-446.zh_TW
dc.relation.referenceBrigo, D., Mercurio, F., & Rapisarda, F. 2004. Smile at the uncertainty. Risk, 17(5): 97-101.zh_TW
dc.relation.referenceDerman, E., & Kani, I. 1994. Riding on a smile. Risk, 7(2): 32-39.zh_TW
dc.relation.reference______. 1998. Stochastic implied trees: arbitrage pricing with stochastic term and strike structure of volatility. International Journal of Theoretical and Applied Finance, 1(1): 61-110.zh_TW
dc.relation.referenceGreen, T. C., & Figlewski, S. 1999. Market risk and model risk for a financial institution writing options. Journal of Finance, 54(4): 1465-1499.zh_TW
dc.relation.referenceGuo, C. 1998. Option pricing with heterogeneous expectations. Financial Review 33(4): 81-92.zh_TW
dc.relation.referenceHentschel, L. 2003. Errors in implied volatility estimation. Journal of Financial and Quantitative Analysis, 38(4): 779-810.zh_TW
dc.relation.referenceHull, J. C. 2000. Options, futures, & other derivatives (4th ed.). Toronto: Prentice-Hall.zh_TW
dc.relation.referenceManaster, S., & Rendleman, R. J. 1982. Option prices as predictors of equilibrium stock prices. Journal of Finance, 37(4): 1043-1057.zh_TW
dc.relation.referenceRitchey, R. J. 1990. Call option valuation for discrete normal mixtures. Journal of Financial Research, 13(4): 285-296.zh_TW
dc.relation.referenceRubinstein, M. 1994. Implied binomial trees. Journal of Finance, 49(3): 771-818.zh_TW
dc.relation.reference第叁章 信用違約交換選擇權的評價與避險zh_TW
dc.relation.referenceBielecki T.R., Jeanblanc, M., & Rutkowski, M. 2006. Pricing and trading credit default swaps. Working Paper, Illinois Institute of Technology Department of Applied Mathematics, Chicago, USAzh_TW
dc.relation.referenceBlack, F. 1976. The pricing of commodity contracts. Journal of Financial Economics, 3(1): 167-179.zh_TW
dc.relation.referenceBrace, A. 1996. Dual swap and swaption formula in the normal and lognormal models. Working Paper, University of NSW School of Mathematics, Australia.zh_TW
dc.relation.referenceBrace, A., Dun, T., & Barton, G. 2001. Toward a central interest rates model. In E. Jouini, J. Cvitanic, M. Musiela (Eds.) Option pricing, interest rates and risk management, New York : Cambridge University Press, Ch8, p.278-313.zh_TW
dc.relation.referenceBrace, A., Gatarek, D., & Musiela, M. 1997. The market model of interest rate dynamics. Mathematical Finance, 7(2): 122-147.zh_TW
dc.relation.referenceBrigo, D. 2004. Candidate market models and the calibrated CIR++ stochastic intensity model for credit default swap options and callable floaters. Paper presented at the Proceedings of the 4-th ICS Conference, Tokyo, Japan.zh_TW
dc.relation.reference______. 2005a. Market model for CDS options and callable floaters. Risk, 18(1): 89-94.zh_TW
dc.relation.reference______. 2005b. Constant maturity credit default swap pricing with market models. Working Paper, Milano, Italy.zh_TW
dc.relation.reference______. 2006. CMCDS valuation with market models. Risk, 19(6): 78-83.zh_TW
dc.relation.referenceBrigo, D., & Mercurio F. 2006. Interest rate models- theory and practice. (2th ed.). Germany: Springer-Verlag.zh_TW
dc.relation.referenceBrigo, D., & Morini, M. 2005. CDS market formulas and models. Working Paper, Milano, Italy.zh_TW
dc.relation.referenceElliott, R., Jeanblanc, M., & Yor, M. 2000. On models of default risk. Mathematical Finance, 10(2): 179-195.zh_TW
dc.relation.referenceHull, J. C., & White, A. 2000. Valuing credit default swaps I: no counterparty default risk. Journal of Derivatives, 7(4):29-40.zh_TW
dc.relation.reference______. 2003. The valuation of credit default swap options. Journal of Derivatives, 10(3): 40-50.zh_TW
dc.relation.referenceJackel, P., & Rebonato, R. 2000. Linking caplet and swaption volatilities in a BGM/J framework: approximate solutions. Working Paper, Quantitative Research Centre, The Royal Bank of Scotland, London.zh_TW
dc.relation.referenceJamshidian, F. 2004. Valuation of credit default swaps and swaptions. Finance and Stochastics, 8(3): 343-371.zh_TW
dc.relation.referenceJeanblanc, M., & Rutkowski, M. 2000. Modelling of default risk: mathematical tools. Working Paper, d’Evry University Department of Mathematics.zh_TW
dc.relation.referenceJPMorgan 2001. Par credit default swap spread approximation from default probabilities. Credit Derivatives at JPMorgan Securities Inc., New York.zh_TW
dc.relation.referenceKijima, M., & Komoribayashi, K. 1998. A markov chain model for valuing credit risk derivatives. Journal of Derivatives, 6(1): 97-108.zh_TW
dc.relation.referenceSchonbucher, P. J. 2000. A LIBOR market model with default risk. Working Paper, Bonn University Department of Statistics, Germany.zh_TW
dc.relation.reference______. 2003. A note on survival measures and the pricing of options on credit default swaps. Working Paper, ETH Zurich Department of Mathematics, Switzerland.zh_TW
dc.relation.reference______. 2004. A measure of survival. Risk, 17(8): 79-85.zh_TW
dc.relation.referenceWu, L. 2006. Arbitrage pricing of single-name credit derivatives. Working Paper, Science and Technology University Department of Mathematics, Hong Kong.zh_TW
item.grantfulltextopen-
item.openairetypethesis-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.languageiso639-1en_US-
item.cerifentitytypePublications-
Appears in Collections:學位論文
Files in This Item:
File Description SizeFormat
52503101.pdf94.86 kBAdobe PDF2View/Open
52503102.pdf138.5 kBAdobe PDF2View/Open
52503103.pdf126.01 kBAdobe PDF2View/Open
52503104.pdf119.28 kBAdobe PDF2View/Open
52503105.pdf140.09 kBAdobe PDF2View/Open
52503106.pdf353.83 kBAdobe PDF2View/Open
52503107.pdf553.74 kBAdobe PDF2View/Open
52503108.pdf131.16 kBAdobe PDF2View/Open
52503109.pdf107.38 kBAdobe PDF2View/Open
52503110.pdf275.7 kBAdobe PDF2View/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.