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Approximating Heath-Jarrow-Morton Non-Markovian Term Structure of Interest Rate Models with Markovian Systems

Approximating Heath-Jarrow-Morton Non-Markovian Term Structure of Interest Rate Models with Markovian Systems
Author: Ramaprasad Bhar
Publisher:
Total Pages: 25
Release: 2008
Genre:
ISBN:

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We consider a Heath-Jarrow-Morton models for the term structure of interest rates in which the forward rate volatility is a function of the instantaneous spot rate of interest, a set of dicrete forward rates and time to maturity of the bond. We show how the stochastic dynamics may be expressed as a system of Markovian stochastic differential equations. We obtain the partial differential equation which allows the pricing of contingent claims in this framework.


Modeling the Term Structure of Interest Rates

Modeling the Term Structure of Interest Rates
Author: Rajna Gibson
Publisher: Now Publishers Inc
Total Pages: 171
Release: 2010
Genre: Business & Economics
ISBN: 1601983727

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Modeling the Term Structure of Interest Rates provides a comprehensive review of the continuous-time modeling techniques of the term structure applicable to value and hedge default-free bonds and other interest rate derivatives.


Single Factor Heath-Jarrow-Morton Term Structure Models Based on Markov Spot Interest Rate Dynamics

Single Factor Heath-Jarrow-Morton Term Structure Models Based on Markov Spot Interest Rate Dynamics
Author: Andrew Jeffrey
Publisher:
Total Pages:
Release: 2000
Genre:
ISBN:

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This paper considers the class of Heath-Jarrow-Morton term structure models where the spot interest rate is Markov and the term structure at time t is a function of time, maturity and the spot interest rate at time t. A representation for this class of models is derived and I show that the functional forms of the forward rate volatility structure and the initial forward rate curve cannot be arbitrarily chosen. I provide necessary and sufficient conditions indicating which combinations of these functional forms are allowable. I also derive a partial differential equation representation of the term structure dynamics which does not require explicit modeling of both the market price of risk and the drift term for the spot interest rate process. Using the analysis presented in this paper a class of intertemporal term structure models is derived.


Consistency Problems for Heath-Jarrow-Morton Interest Rate Models

Consistency Problems for Heath-Jarrow-Morton Interest Rate Models
Author: Damir Filipovic
Publisher: Springer
Total Pages: 141
Release: 2004-11-02
Genre: Mathematics
ISBN: 354044548X

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Bond markets differ in one fundamental aspect from standard stock markets. While the latter are built up to a finite number of trade assets, the underlying basis of a bond market is the entire term structure of interest rates: an infinite-dimensional variable which is not directly observable. On the empirical side, this necessitates curve-fitting methods for the daily estimation of the term structure. Pricing models, on the other hand, are usually built upon stochastic factors representing the term structure in a finite-dimensional state space. Written for readers with knowledge in mathematical finance (in particular interest rate theory) and elementary stochastic analysis, this research monograph has threefold aims: to bring together estimation methods and factor models for interest rates, to provide appropriate consistency conditions and to explore some important examples.


Transformation of Heath-Jarrow-Morton Models to Markovian Systems

Transformation of Heath-Jarrow-Morton Models to Markovian Systems
Author: Ramaprasad Bhar
Publisher:
Total Pages: 36
Release: 2008
Genre:
ISBN:

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A class of volatility functions for the forward rate process is considered, which allows the bond price dynamics in the Heath-Jarrow-Morton (HJM) framework to be reduced to a finite dimensional Markovian system. The use of this Markovian system in estimation of parameters of the volatility function via use of the Kalman filter is discussed. Further, the Markovian system allows the link to be drawn between the HJM and the Vasicek/Cox-Ingersoll-Ross (CIR) frameworks for modelling the term structure of interest rates.


Numerical Methods for Heath-Jarrow-Morton Model of Interest Rates

Numerical Methods for Heath-Jarrow-Morton Model of Interest Rates
Author: Maria Krivko
Publisher:
Total Pages:
Release: 2012
Genre:
ISBN:

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The celebrated HJM framework models the evolution of the term structure of interest rates through the dynamics of the forward rate curve. These dynamics are described by a multifactor infinite-dimensional stochastic equation with the entire forward rate curve as state variable. Under no-arbitrage conditions, the HJM model is fully characterized by specifying forward rate volatility functions and the initial forward curve. In short, it can be described as a unifying framework with one of its most striking features being the generality: any arbitrage-free interest rate model driven by Brownian motion can be described as a special case of the HJM model. The HJM model has closed-form solutions only for some special cases of volatility, and valuations under the HJM framework usually require a numerical approximation. We propose and analyze numerical methods for the HJM model. To construct the methods, we first discretize the infinite-dimensional HJM equation in maturity time variable using quadrature rules for approximating the arbitrage-free drift. This results in a finite-dimensional system of stochastic differential equations (SDEs) which we approximate in the weak and mean-square sense. The proposed numerical algorithms are highly computationally efficient due to the use of high-order quadrature rules which allow us to take relatively large discretization steps in the maturity time without affecting overall accuracy of the algorithms. They also have a high degree of flexibility and allow to choose appropriate approximations in maturity and calendar times separately. Convergence theorems for the methods are proved. Results of some numerical experiments with European-type interest rate derivatives are presented.


A Markovian Framework in Multi-Factor Heath-Jarrow-Morton Models

A Markovian Framework in Multi-Factor Heath-Jarrow-Morton Models
Author: Koji Inui
Publisher:
Total Pages:
Release: 2001
Genre:
ISBN:

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We consider the general n-factor Heath, Jarrow, and Morton model (1992) and provide a sufficient condition on the volatility structure for the spot rate process to be Markovian with 2n state variables. The price of a discount bond is also Markovian with the same state variables and, hence, claims against the term structure can be efficiently priced using standard simulation techniques. Our results extend earlier works such as Ritchken and Sankarasubramanian (1995) where the one-factor model is treated, and Carverhill (1994), where the volatility structure is non random. Numerical experiments show that our model can explain the volatility smile observed in the interest rate options market and also overcome the biases noted by Flesaker (1993).


Modelling the Term Structure of Interest Rates a La Heath-Jarrow-Morton But with Non-Gaussian Fluctuations

Modelling the Term Structure of Interest Rates a La Heath-Jarrow-Morton But with Non-Gaussian Fluctuations
Author: Przemyslaw Repetowicz
Publisher:
Total Pages: 18
Release: 2009
Genre:
ISBN:

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We consider a generalization of the Heath-Jarrow-Morton model for the term structure of interest rates where the forward rate is driven by Paretian fluctuations. We derive a generalization of Ito's lemma for the calculation of a differential of a Paretian stochastic variable and use it to derive a Stochastic Differential Equation for the discounted bond price.We show that it is not possible to choose the parameters of the model to ensure absence of drift of the discounted bond price. Then we consider a Continuous Time Random Walk with jumps driven by Paretian random variables and we derive the large time scaling limit of the jump probability distribution function (pdf). We show that under certain conditions defined in text the large time scaling limit of the jump pdf in the Fourier domain is tilde{ omega}_t(k,t) sim exp{ - mathfrak{K}/( ln(k t))^2 } and is different from the case of a random walk with Gaussian fluctuations.