Nonparametric Estimation of a Multifactor Heath-Jarrow-Morton Model: An Integrated Approach
48 Pages Posted: 25 Aug 2001
There are 2 versions of this paper
Nonparametric Estimation of a Multifactor Heath-Jarrow-Morton Model: An Integrated Approach
Nonparametric Estimation of a Multifactor Heath-Jarrow-Morton Model: An Integrated Approach
Date Written: July 2001
Abstract
We develop a nonparametric estimator for the volatility structure of the zero coupon yield curve in the Heath, Jarrow-Morton framework. The estimator incorporates cross-sectional restrictions along the maturity dimension, and also allows for measurement errors, which arise from the estimation of the yield curve from noisy data. The estimates are implemented with daily CRSP bond data.
Keywords: Measurement Error, Multifactor Model, Nonparametric Estimation, Volatility Structure
JEL Classification: C22
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Nonparametric Pricing of Interest Rate Derivative Securities
-
Back to the Future: Generating Moment Implications for Continuous-Time Markov Processes
-
Maximum-Likelihood Estimation of Discretely Sampled Diffusions: A Closed-Form Approach
-
Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-Form Approach
-
Is the Short Rate Drift Actually Nonlinear?
By David A. Chapman and Neil D. Pearson
-
Nonparametric Density Estimation and Tests of Continuous Time Interest Rate Models
-
Maximum Likelihood Estimation of Generalized Ito Processes with Discretely Sampled Data
By Andrew W. Lo
-
Maximum Likelihood Estimation of Generalized Ito Processes with Discretely Sampled Data
By Andrew W. Lo
-
Closed-Form Likelihood Expansions for Multivariate Diffusions