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☆☆☆☆☆

[美] 卡莫纳 著

图书标签:

• 利率模型
• 金融工程
• 固定收益
• 金融数学
• 量化金融
• 衍生品定价
• 风险管理
• 利率期限结构
• 模型构建
• 投资策略

出版社： 世界图书出版公司

ISBN：9787510052774

版次：1

商品编码：11181634

包装：平装

开本：24开

出版时间：2013-01-01

页数：235

内容简介

　　卡莫纳编著的《利率模型》内容介绍：The main goal of the book is to present, in a self-contained manner, the empirical facts needed to understand the sophisticated mathematical models developed by the financial mathematics community over the last decade. So after a very elementary introduction to the mechanics of the bond market,and a thorough statistical analysis of the data available to any curious spectator without any special inside track information, we gradually introduce the mathematical tools needed to analyze the stochastic models most widely used in the industry. Our point of view has been strongly influenced by recent works of Cont and his collaborators and the Ph.D. of Filipovid. They merge the original proposal of Musiela inviting us to rewrite the HJM model as a stochastic partial differential equation, together with Bjork's proposal to recast the HJM model in the framework of stochastic differential equations in a Baoach space.

目录

Part Ⅰ The Term Structure of Interest Rates
Data and Instruments of the Term Structure of Interest Rates
1.1 Time Value of Money and Zero Coupon Bonds
1.1.1 Treasury Bills
1.1.2 Discount Factors and Interest Rates
1.2 Coupon Bearing Bonds
1.2.1 Treasury Notes and Treasury Bonds
1.2.2 The STRIPS Program
1.2.3 Clean Prices
1.3 Term Structure as Given by Curves
1.3.1 The Spot （Zero Coupon） Yield Curve
1.3.2 The Forward Rats Curve and Duration
1.3.3 Swap Rate Curves
1.4 Continuous Compounding and Market Conventions
1.4.1 Day Count Conventions
1.4.2 Compounding Conventions
1.4.3 Summary
1.5 Related Markets
1.5.1 Municipal Bonds
1.5.2 Indsx Linked Bonds
1.5.3 Corporate Bonds and Credit Markets
1.5.4 Tax Issues
1.5.5 Asset Backed Securities
1.6 Statistical Estimation of the Term Structure
1.6.1 Yield Curve Estimation
1.6.2 Parametric Estimation Procedures
1.6.3 Nonparametric Estimation Procedures
1.7 Principal Component Analysis
1.7.1 Principal Components of a Random Vector
1.7.2 Multivariate Data PCA
1.7.3 PCA of the Yield Curve
1.7.4 PCA of the Swap Rate Curve
Notes & Complements
Term Structure Factor Models
2.1 Factor Models for the Term Structure
2.2 Afllne Models
2.3 Short Rate Models as One-Factor Models
2.3.1 IncompleteneSs and Pricing
2.3.2 Specific Models
2.3.3 A PDE for Numerical Purposes
2.3.4 Explicit Pricing Formulae
2.3.5 Rigid Term Structures for Calibration
2.4 Term Structure Dynamics
2.4.1 The Heath Jarrow-Morton Framework
2.4.2 Hedging Contingent Claims
2.4.3 A Shortcoming of the Finite-Rank Models
2.4.4 The Musiela Notation
2.4.5 Random Field Formulation
2.5 Appendices
Notes & Complements
Part Ⅱ Infinite Dimensional Stochastic Analysis
Infinite Dimensional Integration Theory
3.1 Introduction
3.1.1 The Setting
3.1.2 Distributions of Gaussian Processes
3.2 Ganssian Measures in Banach Spaces and Examples
3.2.1 Integrability Properties
3.2.2 Isouormal Processes
3.3 Reproducing Kernel Hilbert Space
3.3.1 RKHS of Gaussian Processes
3.3.2 The RKHS of the Classical Wiener Measure
3.4 Topological Supports. Carriers. Equivalence and Singularity
3.4.1 Topological Supports of Gaussian Measures
3.4.2 Equivalence and Singularity of Gaussian Measures
3.5 Series Expansions
3.6 Cylindrical Measures
3.6.1 The Canonical （Ganssian） Cylindrical Measure
of a Hilbert Space
3.6.2 Integration with Respect to a Cylindrical Measure
3.6.3 Characteristic Functions and Bochner's Theorem
3.6.4 Radonification of Cylindrical Measures
3.7 Appendices
Notes & Complements
Stochastic Analysis in Infinite Dimensions
4.1 Infinite Dimensional Wiener Processes
4.1.1 Revisiting some Known Two-Parameter Processes
4.1.2 Bannch Space Valued Wiener Process
4.1.3 Sample Path Regularity
4.1.4 Absolute Continuity Issues
4.1.5 Series Expansions
4.2 Stochastic Integral and It6 Processes
4.2.1 The Case of E*- and H*-Valued Integrands
4.9.2 The Case of Operator Valued Integrands
4.2.3 Stochastic Convolutions
4.3 Martingale Representation Theorems
4.4 Girsanov's Theorem and Changes of Measures
4.5 Infinite Dimensional Ornstein Uhtenbeck Processes
4.5.1 Finite Dimensional OU Processes
4.5.2 Infinite Dimensional OU Processes
4.5.3 The SDE Approach in Infinite Dimensions
4.6 Stochastic Differential Equations
Notes & Complements
The Malliavin Calculus
5.1 The Malliavin Derivative
5.1.1 Various Notions of Differentiability
5.1.2 The Definition of the Malliavin Derivative
5.2 The Chain Rule
5.3 The Skorohod Integral
5.4 The Clark Ocone Formula
5.4.1 Sobolev and Logarithmic Sebolev Inequalities
5.5 Maniavin Derivatives and SDEs
5.5.1 Random Operators
5.5.2 A Useful Formula
5.6 Applications in Numerical Finance
5.6.1 Computation of the Delta
5.6.2 Computation of Conditional Expectations
Notes & Complements
Part Ⅲ Generalized Models for the Term Structure
6 General Models
6.1 Existence of a Bond Market
6.2 The HJM Evolution Equation
6.2.1 Function Spaces for Forward Curves
6.3 The Abstract HJM Model
6.3.1 Drift Condition and Absence of Arbitrage
6.3.2 Long Rates Never Fall
6.3.3 A Concrete Example
6.4 Geometry of the Term Structure Dynamics
6.4.1 The Consistency Problem
6.4.2 Finite Dimensional Realizations
6.5 Generalized Bond Portfolios
6.5.1 Models of the Discounted Bond Price Curve
6.5.2 Trading Strategies
6.5.3 Uniqueness of Hedging Strategies
6.5.4 Approximate Completeness of the Bond Market
6.5.5 Hedging Strategies for Lipscbitz Claims
Notes & Complements
7 Specific Models
7.1 Markovian HJM Models
7.1.1 Gaussian Markov Models
7.1.2 Assumptions on the State Space
7.1.3 Invariant Measures for Gauss-Markov HJM Models
7.1.4 Non-Uniqueness of the Invariant Measure
7.1.5 Asymptotic Behavior
7.1.6 The Short Rate is a Maximum on Average
7.2 SPDEs and Term Structure Models
7.2.1 The Deformation Process
7.2.2 A Model of the Deformation Process
7.2.3 Analysis of the SPDE
7.2.4 Regularity of the Solutions
7.3 Market Models
7.3.1 The Forward Measure
7.3.2 LIBOR Rates Revisited
Notes & Complements
References
Notation Index
Author Index
Subject Index

前言/序言

评分☆☆☆☆☆

利率是经济学中一个重要的金融变量，几乎所有的金融现象、金融资产均与利率有着或多或少的联系。当前，世界各国频繁运用利率杠杆实施宏观调控，利率政策已成为各国中央银行调控货币供求，进而调控经济的主要手段，利率政策在中央银行货币政策中的地位越来越重要。合理的利率，对发挥社会信用和利率的经济杠杆作用有着重要的意义，而合理利率的计算方法是我们关心的问题。

评分☆☆☆☆☆

马克思的利率决定理论是从利息的来源和实质的角度，考虑了制度因素在利率决定中的作用的利率理论，其理论核心是利率是由平均利润率决定的。马克思认为在资本主义制度下,利息是利润的一部分,是剩余价值的一种转换形式。利息的独立化，对于真正显示资金使用者在再生产过程中所起的能动作用有积极意义。

评分☆☆☆☆☆

现代经济中，利率作为资金的价格，不仅受到经济社会中许多因素的制约，而且，利率的变动对整个经济产生重大的影响，因此，现代经济学家在研究利率的决定问题时，特别重视各种变量的关系以及整个经济的平衡问题，利率决定理论也经历了古典利率理论、凯恩斯利率理论、可贷资金利率理论、IS—LM利率分析以及当代动态的利率模型的演变、发展过程。

评分☆☆☆☆☆

评分☆☆☆☆☆

非常不错

评分☆☆☆☆☆

合理的利率，对发挥社会信用和利率的经济杠杆作用有着重要的意义，而合理利率的计算方法是我们关心的问题。

评分☆☆☆☆☆

英国著名经济学家希克斯等人则认为以上理论没有考虑收入的因素，因而无法确定利率水平，于是于1937年提出了一般均衡理论基础上的IS-LM模型。从而建立了一种在储蓄和投资、货币供应和货币需求这四个因素的相互作用之下的利率与收入同时决定的理论。

评分☆☆☆☆☆

利率就表现形式来说，是指一定时期内利息额同借贷资本总额的比率。利率是单位货币在单位时间内的利息水平，表明利息的多少。经济学家一直在致力于寻找一套能够完全解释利率结构和变化的理论。利率通常由国家的中央银行控制，在美国由联邦储备委员会管理。至今，所有国家都把利率作为宏观经济调控的重要工具之一。

评分☆☆☆☆☆

非常不错