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Modelling Term-structure Dynamics for Risk Management

Modelling Term-structure Dynamics for Risk Management PDF Author: David Bolder
Publisher:
ISBN:
Category : Interest rates
Languages : en
Pages : 81

Book Description


Modelling Term-structure Dynamics for Risk Management

Modelling Term-structure Dynamics for Risk Management PDF Author: David Bolder
Publisher:
ISBN:
Category : Interest rates
Languages : en
Pages : 81

Book Description


Modelling Term-Structure Dynamics for Risk Management

Modelling Term-Structure Dynamics for Risk Management PDF Author: David Jamieson Bolder
Publisher:
ISBN:
Category :
Languages : en
Pages : 89

Book Description
Modelling term-structure dynamics is an important component in measuring and managing the exposure of portfolios to adverse movements in interest rates. Model selection from the enormous term-structure literature is far from obvious and, to make matters worse, a number of recent papers have called into question the ability of some of the more popular models to adequately describe interest rate dynamics. The author, in attempting to find a relatively simple term-structure model that does a reasonable job of describing interest rate dynamics for risk-management purposes, examines two sets of models. The first set involves variations of the Gaussian affine term-structure model by modestly building on the recent work of Dai and Singleton (2000) and Duffee (2002). The second set includes and extends Diebold and Li (2003). After working through the mathematical derivation and estimation of these models, the author compares and contrasts their performance on a number of in- and out-of-sample forecasting metrics, their ability to capture deviations from the expectations hypothesis, and their predictions in a simple portfolio-optimization setting. He finds that the extended Nelson-Siegel model and an associated generalization, what he terms the exponential-spline model, provide the most appealing modelling alternatives when considering the various model criteria.

Dynamic Term Structure Modeling

Dynamic Term Structure Modeling PDF Author: Sanjay K. Nawalkha
Publisher: John Wiley & Sons
ISBN: 0470140062
Category : Business & Economics
Languages : en
Pages : 722

Book Description
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

Interest Rate Dynamics, Derivatives Pricing, and Risk Management

Interest Rate Dynamics, Derivatives Pricing, and Risk Management PDF Author: Lin Chen
Publisher: Springer Science & Business Media
ISBN: 364246825X
Category : Business & Economics
Languages : en
Pages : 158

Book Description
There are two types of tenn structure models in the literature: the equilibrium models and the no-arbitrage models. And there are, correspondingly, two types of interest rate derivatives pricing fonnulas based on each type of model of the tenn structure. The no-arbitrage models are characterized by the work of Ho and Lee (1986), Heath, Jarrow, and Morton (1992), Hull and White (1990 and 1993), and Black, Dennan and Toy (1990). Ho and Lee (1986) invent the no-arbitrage approach to the tenn structure modeling in the sense that the model tenn structure can fit the initial (observed) tenn structure of interest rates. There are a number of disadvantages with their model. First, the model describes the whole volatility structure by a sin gle parameter, implying a number of unrealistic features. Furthennore, the model does not incorporate mean reversion. Black-Dennan-Toy (1990) develop a model along tbe lines of Ho and Lee. They eliminate some of the problems of Ho and Lee (1986) but create a new one: for a certain specification of the volatility function, the short rate can be mean-fteeting rather than mean-reverting. Heath, Jarrow and Morton (1992) (HJM) construct a family of continuous models of the term struc ture consistent with the initial tenn structure data.

A Tractable Multi-Factor Dynamic Term-Structure Model for Risk Management

A Tractable Multi-Factor Dynamic Term-Structure Model for Risk Management PDF Author: Michael Henseler
Publisher:
ISBN:
Category :
Languages : en
Pages : 30

Book Description
We present an affine arbitrage-free dynamic term-structure model based on a representation of instantaneous forward rates as sum of exponentials. The model, which is Gaussian and belongs to the class of Heath-Jarrow-Morton-type models, is intuitively appealing as a suitable linear combination of the stochastic factors can be interpreted as stochastic evolution of stable principal components of the yield curve. Focusing on applications, we derive general principal components in such an affine-linear model, calibrate the model to government bond prices, and derive simple formulas to price caps and floors.

Credit Risk: Modeling, Valuation and Hedging

Credit Risk: Modeling, Valuation and Hedging PDF Author: Tomasz R. Bielecki
Publisher: Springer Science & Business Media
ISBN: 3662048213
Category : Business & Economics
Languages : en
Pages : 517

Book Description
The motivation for the mathematical modeling studied in this text on developments in credit risk research is the bridging of the gap between mathematical theory of credit risk and the financial practice. Mathematical developments are covered thoroughly and give the structural and reduced-form approaches to credit risk modeling. Included is a detailed study of various arbitrage-free models of default term structures with several rating grades.

Modeling the Term Structure of Interest Rates

Modeling the Term Structure of Interest Rates PDF Author: Rajna Gibson
Publisher: Now Publishers Inc
ISBN: 1601983727
Category : Business & Economics
Languages : en
Pages : 171

Book Description
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.

Term-Structure Models

Term-Structure Models PDF Author: Damir Filipovic
Publisher: Springer Science & Business Media
ISBN: 3540680152
Category : Mathematics
Languages : en
Pages : 259

Book Description
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.

Term Structure Modelling

Term Structure Modelling PDF Author: Peter Wiegel
Publisher:
ISBN:
Category : Interest rate futures
Languages : en
Pages : 602

Book Description


Handbook of Quantitative Finance and Risk Management

Handbook of Quantitative Finance and Risk Management PDF Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
ISBN: 0387771174
Category : Business & Economics
Languages : en
Pages : 1700

Book Description
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.