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Implementing Two-Factor Interest Rate Model with Path-Dependent State Variables

路徑相關的兩因子利率模型

摘要


在普遍架構之下的HJM模型,債券價格與點利率都是非馬可夫性的。因此,此類型的模式有路徑相關的特性而需要保持追蹤歷史的資訊才能做衍生性金融產品的訂價。過去的演算法需要先以前進的方式建立樹狀架構來求得每一點狀態變數的極大與極小值,再倒推以求得衍生性金融產品的價格。本文旨在提供二因子模型有效率之演算法,我們找出狀態變數的極大與極小值的方式,因而僅需倒推運算,此節省了電腦記憶體空間也改進了運算速度。最後,我們並提供一些歐式選擇權的封閉模型。

並列摘要


In the general HJM paradigm, the dynamics of bond prices and spot interest rate are intrinsically non-Markovian. Thus, the model has the path dependent property which requires the information starting from date O. Previous algorithms require the forward scan to keep the information of the maximum and minimum of the state variables at each node. The purpose of this paper is to provide an efficient lattice in the case of two correlated sources of uncertainty We identify the pattern for the maximum and minimum of the state variable and our algorithms require only backward recursion. This procedure saves the computer memory and improve the execution speed. Finally, examples of exact solutions for European claim s will also be provided.

參考文獻


Baxter, M.,A. Rennie(1996).Financial Calculus.Cambridge University Press.
Bhar, R.,C. Chiarella(1996).Working paper, School of Finance and Economics, University of Technology, Sydney.
Brenner, R.,R. Jarrow(1993).A Simple Formula for Options on Discount Bonds.Advances in Futures and Options Research.6,45-51.
Geman, H.(1989).Working paper, ESSEC.
Heath, D.,R. Jarrow,,A. Morton(1992).Bond Pricing and the Term Structure of Interest Rates: A New Methodology for Contingent Claims Valuation.Econometrica.60,77-105.

被引用紀錄


廖珮廷(2004)。規避群組信用風險與提前償還風險之證券化設計〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.00996

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