Linear Quadratic Term Structure Models Toward The Understanding Of Jumps In Interest Rates
Download Linear Quadratic Term Structure Models Toward The Understanding Of Jumps In Interest Rates full books in PDF, epub, and Kindle. Read online free Linear Quadratic Term Structure Models Toward The Understanding Of Jumps In Interest Rates ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : George J. Jiang |
Publisher | : |
Total Pages | : 13 |
Release | : 2012 |
Genre | : |
ISBN | : |
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.
Author | : Ken O. Kortanek |
Publisher | : John Wiley & Sons |
Total Pages | : 248 |
Release | : 2001-11-28 |
Genre | : Business & Economics |
ISBN | : |
This book offers a new approach to interest rate and modeling term structure by using models based on optimization of dynamical systems, rather than the traditional stochastic differential equation models. The authors use dynamic models to estimate the term structure of interest rates and show the reader how to build their own numerical simulations. It includes software that will enable readers to simulate the various models covered in the book.
Author | : Rajna Gibson |
Publisher | : Now Publishers Inc |
Total Pages | : 171 |
Release | : 2010 |
Genre | : Business & Economics |
ISBN | : 1601983727 |
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.
Author | : Sanjay K. Nawalkha |
Publisher | : John Wiley & Sons |
Total Pages | : 722 |
Release | : 2007-05-23 |
Genre | : Business & Economics |
ISBN | : 0470140062 |
Praise for Dynamic Term Structure Modeling "This book offers the most comprehensive coverage of term-structure models I have seen so far, encompassing equilibrium and no-arbitrage models in a new framework, along with the major solution techniques using trees, PDE methods, Fourier methods, and approximations. It is an essential reference for academics and practitioners alike." --Sanjiv Ranjan Das Professor of Finance, Santa Clara University, California, coeditor, Journal of Derivatives "Bravo! This is an exhaustive analysis of the yield curve dynamics. It is clear, pedagogically impressive, well presented, and to the point." --Nassim Nicholas Taleb author, Dynamic Hedging and The Black Swan "Nawalkha, Beliaeva, and Soto have put together a comprehensive, up-to-date textbook on modern dynamic term structure modeling. It is both accessible and rigorous and should be of tremendous interest to anyone who wants to learn about state-of-the-art fixed income modeling. It provides many numerical examples that will be valuable to readers interested in the practical implementations of these models." --Pierre Collin-Dufresne Associate Professor of Finance, UC Berkeley "The book provides a comprehensive description of the continuous time interest rate models. It serves an important part of the trilogy, useful for financial engineers to grasp the theoretical underpinnings and the practical implementation." --Thomas S. Y. Ho, PHD President, Thomas Ho Company, Ltd, coauthor, The Oxford Guide to Financial Modeling
Author | : International Monetary Fund |
Publisher | : International Monetary Fund |
Total Pages | : 64 |
Release | : 2010-11-01 |
Genre | : Business & Economics |
ISBN | : 1455209589 |
This paper discusses the estimation of models of the term structure of interest rates. After reviewing the term structure models, specifically the Nelson-Siegel Model and Affine Term- Structure Model, this paper estimates the terms structure of Treasury bond yields for the United States with pre-crisis data. This paper uses a software developed by Fund staff for this purpose. This software makes it possible to estimate the term structure using at least nine models, while opening up the possibility of generating simulated paths of the term structure.
Author | : George J. Jiang |
Publisher | : |
Total Pages | : 41 |
Release | : 2013 |
Genre | : |
ISBN | : |
In this paper, we propose a unifying affine-quadratic jump-diffusion framework for the term structure dynamics. The model incorporates both stochastic volatility and random jumps in the short rate process. In particular, we extend the existing models by explicitly modeling the jump intensity as a stochastic process. Using information from the treasury futures market, a GMM estimation approach is proposed for the risk-neutral process. A distinguishing feature of the approach is that the latent state variables are obtained, together with the model parameter estimates. The estimated latent state variables, namely the stochastic volatility and stochastic jump intensity, allow us to investigate the premia of various risk factors as well as underlying economic variables driving the term structure dynamics. Our empirical results suggest that the stochastic jump intensity significantly improves the model fit to the term structure dynamics. We identify a jump intensity negatively correlated with interest rate changes, a higher probability of positive jump than negative jump, and an on average larger size of negative jump than positive jump. We document a significant time-varying risk premium that is positively correlated with volatility.
Author | : René Carmona |
Publisher | : Springer Science & Business Media |
Total Pages | : 236 |
Release | : 2007-05-22 |
Genre | : Mathematics |
ISBN | : 3540270671 |
This book presents the mathematical issues that arise in modeling the interest rate term structure by casting the interest-rate models as stochastic evolution equations in infinite dimensions. The text includes a crash course on interest rates, a self-contained introduction to infinite dimensional stochastic analysis, and recent results in interest rate theory. From the reviews: "A wonderful book. The authors present some cutting-edge math." --WWW.RISKBOOK.COM
Author | : Koji Kusuda |
Publisher | : |
Total Pages | : 328 |
Release | : 2003 |
Genre | : |
ISBN | : |
Author | : Grégoire Leblon |
Publisher | : |
Total Pages | : 0 |
Release | : 2013 |
Genre | : |
ISBN | : |
Author | : Damir Filipovic |
Publisher | : Springer Science & Business Media |
Total Pages | : 259 |
Release | : 2009-07-28 |
Genre | : Mathematics |
ISBN | : 3540680152 |
Changing interest rates constitute one of the major risk sources for banks, insurance companies, and other financial institutions. Modeling the term-structure movements of interest rates is a challenging task. This volume gives an introduction to the mathematics of term-structure models in continuous time. It includes practical aspects for fixed-income markets such as day-count conventions, duration of coupon-paying bonds and yield curve construction; arbitrage theory; short-rate models; the Heath-Jarrow-Morton methodology; consistent term-structure parametrizations; affine diffusion processes and option pricing with Fourier transform; LIBOR market models; and credit risk. The focus is on a mathematically straightforward but rigorous development of the theory. Students, researchers and practitioners will find this volume very useful. Each chapter ends with a set of exercises, that provides source for homework and exam questions. Readers are expected to be familiar with elementary Itô calculus, basic probability theory, and real and complex analysis.