摘要(英) |
Structured notes are tailor made products which are created by financial engineering. In the past, global depression economy introduced low interest rates. Under this background, structured notes developed quickly to fit the investor’s demand. However, in recent years, investors expect interest rates to increase. No matter how fast the rates increase, these expectations have resulted in common structured notes, which focus on low interest rates and have become unpopular in the market.
Generally speaking, structured notes can be divided into two categories by their underlying assets: equity linked notes and interest rate linked notes. There are many payment methods in structured notes. Here, we try to focus on one of these payment methods – Target redemption. A target redemption note contract has been issued by ING Belgium international finance S.A. according to the Libor Market model, in order to construct an interest rate term structure and to value this product. Owing to the fact that forward rates under the Libor Market model exist as a state-dependent drift term, recombining lattices is not able to evolve the interest rate dynamics. Instead, we use the Monte Carlo simulation to do this job. In addition, we will also introduce the concept of hedge for products of this target redemption note contract.
At the end of our research, we tried to modify this product contract. After having modified the conditions of contract, we analyzed their values as well as the average maturity of the notes. With these results, we hope to bring contributions to the issuer and the investor. |
參考文獻 |
參考文獻
中文參考文獻
【1】中華民國證券櫃檯買賣中心,衍生性商品,證券新金融商品業務交易概況。
【2】中華民國證券櫃檯買賣中心,證券商營業處所經營衍生性金融商品交易業務規則,附件三-證券商經營結構型商品連結標的資產範圍。
【3】中國國際商銀網頁,新台幣結構型商品,http://www.icbc.com.tw/chinese/entrust/entrust04/entrust0407.htm
【4】彭昭英,SAS與統計分析,儒林圖書有限公司,民93。
【5】陳松男,結構型金融商品之設計及創新,新陸書局,民93。
【6】陳松男,結構型金融商品之設計及創新(二),新陸書局,民94。
【7】寶來證券網頁,股權連結商品,http://www.warrantnet.com.tw/Polaris/composition.web/pageB-5.htm
英文參考文獻
【1】Andersen, L., Andreasen, J.,2002,”Volatility skews and extensions of the LIBOR market model”,Applied Mathematical Finance 7, pp. 1-32.
【2】Black, F.,1976,”The pricing of commodity contracts”,Journal of Financial Economics, 3, pp. 167-179.
【3】Brace, A., Gatarek D., Musiela, M.,1997,”The market model of interest rate dynamics”,Mathematical Finance, Vol 7 ,127-155.
【4】Brigo, D., Capitani, C., and Mercurio, F.,2001,On the joint calibration of the Libor market model to caps and swaptions market volatility,Banca IMI, San Paolo-IMI Group
【5】Brigo, D., Mercurio, F.,2000,”A mixed-up smile”,Risk September.
【6】Brigo, D., Mercurio, F.,2001,Interest Rate Models Theory and Practice,Springer Verlag
【7】Brigo, D., Mercurio, F., Rapisarda, F.,2000,Lognormal-mixture dynamics and calibration to market volatility smiles,working paper,Banca IMI, Milan.
【8】Cox, J., Ross, S., and Rubinstein, M.,1979,”Option pricing:A simplified approach”,Journal of Financial Economics 7, pp. 229-263.
【9】Glassman, P., Zhao, X.,2000,”Arbitrage-free discretization of lognormal forward LIBOR and swap rate models”,Finance and Stochastics, 4.
【10】Jarrow, Turnbull,2000,Derivatives securities,2nd edition,South-western
【11】John C. Hull,2003,Options, Futures, and Other Derivatives,5th edition,Prentice Hall
【12】Justin London,2005,Modeling derivatives in C++,John Wiley and Sons, Inc.
【13】Jamshidian, F.,1997,”Libor and swap market models and measures”,Finance and Stochastics, 4, pp. 293-330.
【14】Miltersen, Kristlan R, Klaus Sandmann and Dieter Sondermann,1997,”Close form solutions for term structure derivatives with log-normal interest rates”,The Journal of Finance,Vol LII, No 1.March, pp 409-430.
【15】Musiela, M., Rutkowski, M,1997,Martingale Method in Financing Modeling,Springer Verlag
【16】Rebonato,1998,Interest-Rate Otion Models,2nd edition,John Wiley and Sons, Inc.
【17】Rebonato,2001,”The stochastic volatility Libor market model”,Risk October.
【18】Santa Clara, P., Sornette, D.,2001,”The dynamics of the forward interest rate curve with stochastic string shocks”,The Review of Financial Studies 14, pp. 149-185.
【19】Sidenius, J.,2000,”LIBOR market models in practice”,Journal of Computational Finance 3, pp. 5-26. |