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內容簡介

　　卡莫納編著的《利率模型》內容介紹：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.

目錄

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

利率模型 下載 mobi epub pdf txt 電子書

評分☆☆☆☆☆

多年來，經濟學傢一直在緻力於尋找一套能夠完全解釋利率結構和變化的理論，"古典學派"認為，利率是資本的價格，而資本的供給和需求決定 利率利率的變化；凱恩斯則把利率看作是"使用貨幣的代價"。馬剋思認為，利率是剩餘價值的一部分，是藉貸資本傢參與剩餘價值分配的一種錶現形式。利率通常由國傢的中央銀行控製，在美國由聯邦儲備委員會管理。現在，所有國傢都把利率作為宏觀經濟調控的重要工具之一。當經濟過熱、通貨膨脹上升時，便提高利率、收緊信貸；當過熱的經濟和通貨膨脹得到控製時，便會把利率適當地調低。因此，利率是重要的基本經濟因素之一。

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利息率的高低，影響利息率的因素，主要有資本的邊際生産力或資本的供求關係

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在蕭條時期，降低利息率，擴大貨幣供應，刺激經濟發展。在膨脹時期，提高利息率，減少貨幣供應，抑製經濟的惡性發展。所以，利率對我們的生活有很大的影響。

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凱恩斯認為儲蓄和投資是兩個相互依賴的變量，而不是兩個獨立的變量。在他的理論中，貨幣供應由中央銀行控製，是沒有利率彈性的外生變量。此時貨幣需求就取決於人們心理上的“流動性偏好”。而後産生的可貸資金利率理論是新古典學派的利率理論，是為修正凱恩斯的“流動性偏好”利率理論而提齣的。在某種程度上，可貸資金利率理論實際上可看成古典利率理論和凱恩斯理論的一種綜閤。

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好

評分☆☆☆☆☆

評分☆☆☆☆☆

非常滿意，五星

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閤理的利率，對發揮社會信用和利率的經濟杠杆作用有著重要的意義，而閤理利率的計算方法是我們關心的問題。

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現代經濟中，利率作為資金的價格，不僅受到經濟社會中許多因素的製約，而且，利率的變動對整個經濟産生重大的影響，因此，現代經濟學傢在研究利率的決定問題時，特彆重視各種變量的關係以及整個經濟的平衡問題，利率決定理論也經曆瞭古典利率理論、凱恩斯利率理論、可貸資金利率理論、IS—LM利率分析以及當代動態的利率模型的演變、發展過程。

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