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Interest Rate Modeling: Theory and Practice [Hardback]

(University of Science & Technology, Kowloon, Hong Kong)
  • Formāts: Hardback, 354 pages, height x width: 234x156 mm, weight: 635 g, 864 Equations; 19 Tables, black and white; 65 Illustrations, black and white
  • Sērija : Chapman & Hall/CRC Financial Mathematics Series
  • Izdošanas datums: 14-May-2009
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-10: 1420090569
  • ISBN-13: 9781420090567
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 354 pages, height x width: 234x156 mm, weight: 635 g, 864 Equations; 19 Tables, black and white; 65 Illustrations, black and white
  • Sērija : Chapman & Hall/CRC Financial Mathematics Series
  • Izdošanas datums: 14-May-2009
  • Izdevniecība: Chapman & Hall/CRC
  • ISBN-10: 1420090569
  • ISBN-13: 9781420090567
Citas grāmatas par šo tēmu:
Containing many results that are new or exist only in recent research articles, Interest Rate Modeling: Theory and Practice portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It introduces all models with financial-economical justifications, develops options along the martingale approach, and handles option evaluations with precise numerical methods.









The text begins with the mathematical foundations, including Itos calculus and the martingale representation theorem. It then introduces bonds and bond yields, followed by the HeathJarrowMorton (HJM) model, which is the framework for no-arbitrage pricing models. The next chapter focuses on when the HJM model implies a Markovian short-rate model and discusses the construction and calibration of short-rate lattice models. In the chapter on the LIBOR market model, the author presents the simplest yet most robust formula for swaption pricing in the literature. He goes on to address model calibration, an important aspect of model applications in the markets; industrial issues; and the class of affine term structure models for interest rates.









Taking a top-down approach, Interest Rate Modeling provides readers with a clear picture of this important subject by not overwhelming them with too many specific models. The text captures the interdisciplinary nature of the field and shows readers what it takes to be a competent quant in todays market.



This book can be adopted for instructional use. For this purpose, a solutions manual is available for qualifying instructors.

Recenzijas

"The book presents in a balanced way both theory and applications of interest rate modeling. The book can serve as a textbook. It is self-contained in mathematics and presents rigorous justifications for almost all results. Many exercises are provided which often require computer implementation. To a large extent, this book can also serve as a research monograph as it contains many new results. The book shows the readers what has to be a competent quantitative analysis in financial markets." Pavel Stoynov, Zentralblatt MATH 1173

Preface xiii
Acknowledgments xvii
Author xix
The Basics of Stochastic Calculus
1(26)
Brownian Motion
2(6)
Simple Random Walks
2(2)
Brownian Motion
4(2)
Adaptive and Non-Adaptive Functions
6(2)
Stochastic Integrals
8(5)
Evaluation of Stochastic Integrals
11(2)
Stochastic Differentials And Ito's Lemma
13(5)
Multi-Factor Extensions
18(4)
Multi-Factor Ito's Process
19(1)
Ito's Lemma
20(1)
Correlated Brownian Motions
20(1)
The Multi-Factor Lognormal Model
21(1)
Martingales
22(5)
The Martingale Representation Theorem
27(32)
Changing Measures With Binomial Models
28(6)
A Motivating Example
28(2)
Binomial Trees and Path Probabilities
30(4)
Change of Measures Under Brownian Filtration
34(4)
The Radon-Nikodym Derivative of a Brownian Path
34(3)
The CMG Theorem
37(1)
The Martingale Representation Theorem
38(1)
A Complete Market With Two Securities
39(1)
Replicating And Pricing of Contingent Claims
40(3)
Multi-Factor Extensions
43(1)
A Complete Market With Multiple Securities
44(4)
Existence of a Martingale Measure
44(3)
Pricing Contingent Claims
47(1)
The Black-Scholes Formula
48(3)
Notes
51(8)
Interest Rates and Bonds
59(22)
Interest Rates and Fixed-Income Instruments
60(6)
Short Rate and Money Market Accounts
60(1)
Term Rates and Certificates of Deposit
61(1)
Bonds and Bond Markets
62(2)
Quotation and Interest Accrual
64(2)
Yields
66(4)
Yield to Maturity
66(3)
Par Bonds, Par Yields, and the Par Yield Curve
69(1)
Yield Curves for U.S. Treasuries
69(1)
Zero-Coupon Bonds And Zero-Coupon Yields
70(3)
Zero-Coupon Bonds
70(2)
Bootstrapping the Zero-Coupon Yields
72(1)
Future Value and Present Value
73(1)
Forward Rates And Forward-Rate Agreements
73(2)
Yield-Based Bond Risk Management
75(6)
Duration and Convexity
75(3)
Portfolio Risk Management
78(3)
The Heath-Jarrow-Morton Model
81(52)
Lognormal Model: The Starting Point
83(3)
The HJM Model
86(3)
Special Cases of the HJM Model
89(5)
The Ho-Lee Model
90(1)
The Hull-White (or Extended Vasicek) Model
91(3)
Estimating The HJM Model From Yield Data
94(11)
From a Yield Curve to a Forward-Rate Curve
94(5)
Principal Component Analysis
99(6)
A Case Study With A Two-Factor Model
105(2)
Monte Carlo Implementations
107(3)
Forward Prices
110(3)
Forward Measure
113(3)
Black's Formula For Call And Put Options
116(9)
Equity Options under the Hull-White Model
118(4)
Options on Coupon Bonds
122(3)
Numeraires And Changes Of Measure
125(2)
Notes
127(6)
Short-Rate Models and Lattice Implementation
133(34)
From Short-Rate Models To Forward-Rate Models
134(3)
General Markovian Models
137(10)
One-Factor Models
144(2)
Monte Carlo Simulations for Options Pricing
146(1)
Binomial Trees of Interest Rates
147(9)
A Binomial Tree for the Ho-Lee Model
148(1)
Arrow-Debreu Prices
149(3)
A Calibrated Tree for the Ho-Lee Model
152(4)
A General Tree-Building Procedure
156(11)
A Truncated Tree for the Hull-White Model
156(6)
Trinomial Trees with Adaptive Time Steps
162(1)
The Black-Karasinski Model
163(4)
The LIBOR Market Model
167(44)
LIBOR Market Instruments
167(15)
LIBOR Rates
168(1)
Forward-Rate Agreements
169(2)
Repurchasing Agreement
171(1)
Eurodollar Futures
171(1)
Floating-Rate Notes
172(2)
Swaps
174(3)
Caps
177(1)
Swaptions
178(1)
Bermudan Swaptions
179(1)
LIBOR Exotics
179(3)
The LIBOR Market Model
182(5)
Pricing of Caps and Floors
187(1)
Pricing of Swaptions
188(8)
Specifications of The Libor Market Model
196(4)
Monte Carlo Simulation Method
200(11)
The Log-Euler Scheme
200(1)
Calculation of the Greeks
201(1)
Early Exercise
202(9)
Calibration of LIBOR Market Model
211(44)
Implied Cap and Caplet Volatilities
212(4)
Calibrating The Libor Market Model To Caps
216(2)
Calibration To Caps, Swaptions, And Input Correlations
218(6)
Calibration Methodologies
224(26)
Rank-Reduction Algorithm
224(13)
The Eigenvalue Problem for Calibrating to Input Prices
237(13)
Sensitivity With Respect to the Input Prices
250(3)
Notes
253(2)
Volatility and Correlation Adjustments
255(32)
Adjustment Due to Correlations
256(10)
Futures Price versus Forward Price
256(5)
Convexity Adjustment for LIBOR Rates
261(2)
Convexity Adjustment under the Ho-Lee Model
263(1)
An Example of Arbitrage
264(2)
Adjustment Due To Convexity
266(10)
Payment in Arrears versus Payment in Advance
266(2)
Geometric Explanation for Convexity Adjustment
268(1)
General Theory of Convexity Adjustment
269(4)
Convexity Adjustment for CMS and CMT Swaps
273(3)
Timing Adjustment
276(2)
Quanto Derivatives
278(6)
Notes
284(3)
Affine Term Structure Models
287(32)
An Exposition With One-Factor Models
288(9)
Analytical Solution Of Riccarti Equations
297(4)
Pricing Options On Coupon Bonds
301(1)
Distributional Properties of Square-Root Processes
302(1)
Multi-Factor Models
303(7)
Admissible ATSMs
305(1)
Three-Factor ATSMs
306(4)
Swaption Pricing Under ATSMs
310(5)
Notes
315(4)
References 319(8)
Index 327
Lixin Wu is an associate professor at the Hong Kong University of Science and Technology. Best known in the financial engineering community for his work on market models, Dr. Wu co-developed the PDE model for soft barrier options and the finite-state Markov model for credit contagion.