Linear-Quadratic Term Structure Models - Toward the Understanding of Jumps in Interest Rates
Author | : George J. Jiang |
Publisher | : |
Total Pages | : 13 |
Release | : 2012 |
ISBN-10 | : OCLC:1290240127 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Linear-Quadratic Term Structure Models - Toward the Understanding of Jumps in Interest Rates written by George J. Jiang and published by . This book was released on 2012 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we propose a unifying class of affine-quadratic term structure models (AQTSMs) in the general jump-diffusion framework. Extending existing term structure models, the AQTSMs incorporate random jumps of stochastic intensity in the short rate process. Using information from the Treasury futures market, we propose a GMM approach for the estimation of the risk-neutral process. A distinguishing feature of the approach is that the time series estimates of stochastic volatility and jump intensity are obtained, together with model parameter estimates. Our empirical results suggest that stochastic jump intensity significantly improves the model fit to the term structure dynamics. We identify a stochastic jump intensity process that is negatively correlated with interest rate changes. Overall, negative jumps tend to have a larger size than positive ones. Our empirical results also suggest that, at monthly frequency, while stochastic volatility has certain predictive power of inflation, jumps are neither triggered by nor predictive of changes in macroeconomic variables. At daily frequency, however, we document interesting patterns for jumps associated with informational shocks in the financial market.