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題名 隨機利率下選擇權訂價模型
作者 王昭文
貢獻者 廖四郎
王昭文
日期 2002
上傳時間 10-May-2016 18:57:45 (UTC+8)
摘要   Under Gaussian HJM framework, the first goal of the research is to derive the closed-form solution of market-traded contingent claims, such as Taiwanese capped options and under Gaussian HJM framework. I provide the closed-form solutions of generalized capped options (one of the special cases is Taiwanese capped options). However, some contingent claims do not have closed-form solutions, such as long-dated American stock options. Thus, how to develop numerical techniques such as lattice method and Monte Carlo simulation under Gaussian HJM framework is also important for option pricing. The second goal of the research is to provide the numerical methods such as lattice method, and Monte Carlo simulation under Gaussian HJM framework. Unlike the other numerical methods under stochastic interests, our methods can be used to compute the prices of equity derivatives which are related to interest rate, for example, long-dated American stock options.
描述 博士
國立政治大學
金融研究所
88352504
資料來源 http://thesis.lib.nccu.edu.tw/record/#A2010000065
資料類型 thesis
dc.contributor.advisor 廖四郎zh_TW
dc.contributor.author (Authors) 王昭文zh_TW
dc.creator (作者) 王昭文zh_TW
dc.date (日期) 2002en_US
dc.date.accessioned 10-May-2016 18:57:45 (UTC+8)-
dc.date.available 10-May-2016 18:57:45 (UTC+8)-
dc.date.issued (上傳時間) 10-May-2016 18:57:45 (UTC+8)-
dc.identifier (Other Identifiers) A2010000065en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/96328-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 金融研究所zh_TW
dc.description (描述) 88352504zh_TW
dc.description.abstract (摘要)   Under Gaussian HJM framework, the first goal of the research is to derive the closed-form solution of market-traded contingent claims, such as Taiwanese capped options and under Gaussian HJM framework. I provide the closed-form solutions of generalized capped options (one of the special cases is Taiwanese capped options). However, some contingent claims do not have closed-form solutions, such as long-dated American stock options. Thus, how to develop numerical techniques such as lattice method and Monte Carlo simulation under Gaussian HJM framework is also important for option pricing. The second goal of the research is to provide the numerical methods such as lattice method, and Monte Carlo simulation under Gaussian HJM framework. Unlike the other numerical methods under stochastic interests, our methods can be used to compute the prices of equity derivatives which are related to interest rate, for example, long-dated American stock options.zh_TW
dc.description.tableofcontents 誌謝
     Abstract
     Contents-----i
     Table and Figures-----iii
     Chapter 1. Introduction-----1
       1.1 Motivation and Purpose-----1
       1.2 Outline of the Research-----4
     Chapter 2. Literature Review-----7
       2.1 Capped Option-----7
       2.2 Implied Spot-price Tree Method-----9
       2.3 Monte Carlo Simulation-----10
     Chapter 3. Gaussian HJM Framework-----12
     Chapter 4. Generalized Capped Options-----16
       4.1 Generalized Capped Exchange Options-----16
       4.2 Special Cases of Generalized Capped Exchange Options-----19
         4.2.1 Taiwanese Capped Options-----19
           4.2.1.1 Closed-form solution of Taiwanese Capped Options-----19
           4.2.1.2 Properties of Taiwanese Capped Options-----22
           4.2.1.3 Delta Jump-----22
         4.2.2 Taiwanese Floored Options-----24
           4.2.2.1 Closed-form solution of Taiwanese Floored Options-----25
         4.2.3 Taiwanese Capped or Floored Options with Exponential Barrier-----27
         4.2.4 Other Extensions-----27
       4.3 Conclusion for this Chapter-----28
     Chapter 5. Implied Spot-price Tree Method-----30
       5.1 Forward-Price Methodology and Implied Spot-Price Trees-----30
       5.2 Pricing Options under Gaussian HJM Framework-----38
         5.2.1 Determination of Parameters for Binomial Tree-----39
         5.2.2 Numerical Example-----42
         5.2.3 Continuous Time-Varying Dividend Yield Case-----43
         5.2.4 Determination of Parameters for Trinomial Tree-----44
       5.3 Numerical Results-----47
       5.4 Conclusion for this Chapter-----49
     Chapter 6. Monte Carlo under Gaussian HJM Framework-----54
       6.1 Monte Carlo Method under Gaussian HJM Model-----54
         6.1.1 Monte Carlo with Equal Time Interval (Method 1 )-----54
         6.1.2 Monte Carlo with Identical Volatility (Method 2)-----57
         6.1.3 Case of Continuous Dividend Yield-----60
         6.1.4 Variance Reduction Methods-----61
       6.2 Pricing Method for High-Dimensional Contingent Claims-----63
       6.3 Numerical Results-----66
       6.4 Conclusion for this Chapter-----66
     Chapter 7. Conclusions-----67
     References
     
     Table and Figures
     Table 2-1 Capped Options in Taiwan Stock Exchange-----8
     Table 4-1 Prices of Plain Vanilla Call Option and Taiwanese Capped Option-----23
     Table 4-2 Prices of Plain Vanilla Put Option and Taiwanese Floored Option-----26
     Table 5-1 Prices of European Put Option from Implied Spot-Price Trees with Different Time Steps-----51
     Table 5-2 Prices of American Call Options with Zero Dividend Payout from Implied Spot-Price Trees with Different Time Steps-----52
     Table 5-3 Prices of American Put Options from Implied Spot-Price Trees with Different Time Steps-----53
     Table 6-1 European put option with different number of simulations and time to maturity-----64
     Table 6-2 European Call Option on Coupon-bearing Bond with Different Number of Simulations and Time to Maturity-----65
     Figure 1-1 Procedure of the Research-----6
zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#A2010000065en_US
dc.title (題名) 隨機利率下選擇權訂價模型zh_TW
dc.type (資料類型) thesisen_US