Financial Derivatives in Theory and Practice

by ;
Edition: 1st
Format: Hardcover
Pub. Date: 2004-07-02
Publisher(s): WILEY
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Summary

The term Financial Derivative is a very broad term which has come to mean any financial transaction whose value depends on the underlying value of the asset concerned. Sophisticated statistical modelling of derivatives enables practitioners in the banking industry to reduce financial risk and ultimately increase profits made from these transactions.The book originally published in March 2000 to widespread acclaim. This revised edition has been updated with minor corrections and new references, and now includes a chapter of exercises and solutions, enabling use as a course text. Comprehensive introduction to the theory and practice of financial derivatives. Discusses and elaborates on the theory of interest rate derivatives, an area of increasing interest. Divided into two self-contained parts – the first concentrating on the theory of stochastic calculus, and the second describes in detail the pricing of a number of different derivatives in practice. Written by well respected academics with experience in the banking industry.A valuable text for practitioners in research departments of all banking and finance sectors. Academic researchers and graduate students working in mathematical finance.

Author Biography

Philip Hunt is the author of Financial Derivatives in Theory and Practice, Revised Edition, published by Wiley.

Joanne Kennedy is the author of Financial Derivatives in Theory and Practice, Revised Edition, published by Wiley.

Table of Contents

Preface to revised edition xv
Preface xvii
Acknowledgements xxi
Part I: Theory
1(212)
Single-Period Option Pricing
3(16)
Option pricing in a nutshell
3(1)
The simplest setting
4(1)
General one-period economy
5(10)
Pricing
6(1)
Conditions for no arbitrage: existence of Z
7(2)
Completeness: uniqueness of Z
9(3)
Probabilistic formulation
12(3)
Units and numeraires
15(1)
A two-period example
15(4)
Brownian Motion
19(12)
Introduction
19(1)
Definition and existence
20(1)
Basic properties of Brownian motion
21(5)
Limit of a random walk
21(2)
Deterministic transformations of Brownian motion
23(1)
Some basic sample path properties
24(2)
Strong Markov property
26(5)
Reflection principle
28(3)
Martingales
31(32)
Definition and basic properties
32(3)
Classes of martingales
35(6)
Martingales bounded in L1
35(1)
Uniformly integrable martingales
36(3)
Square-integrable martingales
39(2)
Stopping times and the optional sampling theorem
41(8)
Stopping times
41(4)
Optional sampling theorem
45(4)
Variation, quadratic variation and integration
49(7)
Total variation and Stieltjes integration
49(2)
Quadratic variation
51(4)
Quadratic covariation
55(1)
Local martingales and semimartingales
56(5)
The space cMloc
56(3)
Semimartingales
59(2)
Supermartingales and the Doob--Meyer decomposition
61(2)
Stochastic Integration
63(28)
Outline
63(2)
Predictable processes
65(2)
Stochastic integrals: the L2 theory
67(7)
The simplest integral
68(1)
The Hilbert space L2(M)
69(1)
The L2 integral
70(2)
Modes of convergence to H • M
72(2)
Properties of the stochastic integral
74(3)
Extensions via localization
77(4)
Continuous local martingales as integrators
77(1)
Semimartingales as integrators
78(2)
The end of the road!
80(1)
Stochastic calculus: Ito's formula
81(10)
Integration by parts and Ito's formula
81(2)
Differential notation
83(2)
Multidimensional version of Ito's formula
85(3)
Levy's theorem
88(3)
Girsanov and Martingale Representation
91(24)
Equivalent probability measures and the Randon--Nikodym derivative
91(8)
Basic results and properties
91(4)
Equivalent and locally equivalent measures on a filtered space
95(2)
Novikov's condition
97(2)
Girsanov's theorem
99(6)
Girsanov's theorem for continuous semimartingales
99(2)
Girsanov's theorem for Brownian motion
101(4)
Martingale representation theorem
105(10)
The space I2(M) and its orthogonal complement
106(4)
Martingale measures and the martingale representation theorem
110(1)
Extensions and the Brownian case
111(4)
Stochastic Differential Equations
115(26)
Introduction
115(1)
Formal definition of an SDE
116(1)
An aside on the canonical set-up
117(2)
Weak and strong solutions
119(6)
Weak solutions
119(2)
Strong solutions
121(3)
Tying together strong and weak
124(1)
Establishing existence and uniqueness: Ito theory
125(9)
Picard--Lindelof iteration and ODEs
126(1)
A technical lemma
127(3)
Existence and uniqueness for Lipschitz coefficients
130(4)
Strong Markov property
134(5)
Martingale representation revisited
139(2)
Option Pricing in Continuous Time
141(42)
Asset price processes and trading strategies
142(4)
A model for asset prices
142(2)
Self-financing trading strategies
144(2)
Pricing European options
146(5)
Option value as a solution to a PDE
147(2)
Option pricing via an equivalent martingale measure
149(2)
Continuous time theory
151(25)
Information within the economy
152(1)
Units, numeraires and martingale measures
153(5)
Arbitrage and admissible strategies
158(5)
Derivative pricing in an arbitrage-free economy
163(1)
Completeness
164(9)
Pricing kernels
173(3)
Extensions
176(7)
General payout schedules
176(2)
Controlled derivative payouts
178(1)
More general asset price processes
179(1)
Infinite trading horizon
180(3)
Dynamic Term Structure Models
183(30)
Introduction
183(1)
An economy of pure discount bonds
183(4)
Modelling the term structure
187(26)
Pure discount bond models
191(1)
Pricing kernel approach
191(1)
Numeraire models
192(2)
Finite variation kernel models
194(3)
Absolutely continuous (FVK) models
197(1)
Short-rate models
197(3)
Heath--Jarrow--Morton models
200(6)
Flesaker--Hughston models
206(7)
Part II: Practice
213(46)
Modelling in Practice
215(12)
Introduction
215(1)
The real world is not a martingale measure
215(3)
Modelling via infinitesimals
216(1)
Modelling via macro information
217(1)
Product-based modelling
218(5)
A warning on dimension reduction
219(2)
Limit cap valuation
221(2)
Local versus global calibration
223(4)
Basic Instruments and Terminology
227(10)
Introduction
227(1)
Deposits
227(2)
Accrual factors and Libor
228(1)
Forward rate agreements
229(1)
Interest rate swaps
230(2)
Zero coupon bonds
232(1)
Discount factors and valuation
233(4)
Discount factors
233(1)
Deposit valuation
233(1)
FRA valuation
234(1)
Swap valuation
234(3)
Pricing Standard Market Derivatives
237(10)
Introduction
237(1)
Forward rate agreements and swaps
237(1)
Caps and floors
238(4)
Valuation
240(1)
Put-call parity
241(1)
Vanilla swaptions
242(2)
Digital options
244(3)
Digital caps and floors
244(1)
Digital swaptions
245(2)
Futures Contracts
247(12)
Introduction
247(1)
Futures contract definition
247(5)
Contract specification
248(1)
Market risk without credit risk
249(2)
Mathematical formulation
251(1)
Characterizing the futures price process
252(3)
Discrete resettlement
252(1)
Continuous resettlement
253(2)
Recovering the futures price process
255(1)
Relationship between forwards and futures
256(3)
Orientation: Pricing Exotic European Derivatives
259(56)
Terminal Swap-Rate Models
263(14)
Introduction
263(1)
Terminal time modelling
263(3)
Model requirements
263(2)
Terminal swap-rate models
265(1)
Example terminal swap-rate models
266(3)
The exponential swap-rate model
266(1)
The geometric swap-rate model
267(1)
The linear swap-rate model
268(1)
Arbitrage-free property of terminal swap-rate models
269(4)
Existence of calibrating parameters
270(1)
Extension of model to [0, ∞)
271(2)
Arbitrage and the linear swap-rate model
273(1)
Zero coupon swaptions
273(4)
Convexity Corrections
277(10)
Introduction
277(1)
Valuation of `convexity-related' products
278(4)
Affine decomposition of convexity products
278(2)
Convexity corrections using the linear swap-rate model
280(2)
Examples and extensions
282(5)
Constant maturity swaps
283(1)
Options on constant maturity swaps
284(1)
Libor-in-arrears swaps
285(2)
Implied Interest Rate Pricing Models
287(16)
Introduction
287(1)
Implying the functional form DTS
288(4)
Numerical implementation
292(1)
Irregular swaptions
293(6)
Numerical comparison of exponential and implied swap-rate models
299(4)
Multi-Currency Terminal Swap-Rate Models
303(12)
Introduction
303(1)
Model construction
304(4)
Log-normal case
305(2)
General case: volatility smiles
307(1)
Examples
308(7)
Spread options
308(3)
Cross-currency swaptions
311(4)
Orientation: Pricing Exotic American and Path-Dependent Derivatives
315(102)
Short-Rate Models
319(18)
Introduction
319(1)
Well-known short-rate models
320(5)
Vasicek--Hull--White model
320(2)
Log-normal short-rate models
322(1)
Cox--Ingersoll--Ross model
323(1)
Multidimensional short-rate models
324(1)
Parameter fitting within the Vasicek--Hull--White model
325(4)
Derivation of φ, Ψ and B.T
326(1)
Derivation of ξ, ζ and η
327(1)
Derivation of μ, λ and A.T
328(1)
Bermudan swaptions via Vasicek--Hull--White
329(8)
Model calibration
330(1)
Specifying the `tree'
330(2)
Valuation through the tree
332(1)
Evaluation of expected future value
332(2)
Error analysis
334(3)
Market Models
337(14)
Introduction
337(1)
Libor market models
338(5)
Determining the drift
339(2)
Existence of a consistent arbitrage-free term structure model
341(2)
Example application
343(1)
Regular swap-market models
343(4)
Determining the drift
344(2)
Existence of a consistent arbitrage-free term structure model
346(1)
Example application
346(1)
Reverse swap-market models
347(4)
Determining the drift
348(1)
Existence of a consistent arbitrage-free term structure model
349(1)
Example application
350(1)
Markov-Functional Modelling
351(22)
Introduction
351(1)
Markov-functional models
351(3)
Fitting a one-dimensional Markov-functional model to swaption prices
354(5)
Deriving the numeraire on a grid
355(3)
Existence of a consistent arbitrage-free term structure model
358(1)
Example models
359(4)
Libor model
359(2)
Swap model
361(2)
Multidimensional Markov-functional models
363(2)
Log-normally driven Markov-functional models
364(1)
Relationship to market models
365(2)
Mean reversion, forward volatilities and correlation
367(3)
Mean reversion and correlation
367(1)
Mean reversion and forward volatilities
368(1)
Mean reversion within the Markov-functional Libor model
369(1)
Some numerical results
370(3)
Exercises and Solutions
373(44)
Appendix 1 The Usual Conditions 417(2)
Appendix 2 L2 Spaces 419(2)
Appendix 3 Gaussian Calculations 421(2)
References 423(4)
Index 427

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