掃一掃
關(guān)注中圖網(wǎng)
官方微博
中圖價(jià):¥33.4
加入購(gòu)物車
不完全市場(chǎng)信息下信用風(fēng)險(xiǎn)模型的研究(英文版) 版權(quán)信息
- ISBN：9787310059591
- 條形碼：9787310059591 ; 978-7-310-05959-1
- 裝幀：一般膠版紙
- 冊(cè)數(shù)：暫無(wú)
- 重量：暫無(wú)
- 所屬分類：>
不完全市場(chǎng)信息下信用風(fēng)險(xiǎn)模型的研究(英文版) 內(nèi)容簡(jiǎn)介
本書涉及金融工程方面的信用風(fēng)險(xiǎn)建模研究，主要探討不接近市場(chǎng)信息下信用風(fēng)險(xiǎn)模型的構(gòu)建，對(duì)于普及信用風(fēng)險(xiǎn)及信用衍生品知識(shí)、促進(jìn)金融創(chuàng)新、加強(qiáng)金融風(fēng)險(xiǎn)管理、推動(dòng)我國(guó)金融競(jìng)爭(zhēng)力提供了重要的理論依據(jù)，有重大的參考作用和借鑒意義。
不完全市場(chǎng)信息下信用風(fēng)險(xiǎn)模型的研究(英文版) 目錄
Chapter 1 Introduction
1．1 Preliminary work
1．2 Overview of the book
Chapter 2 Filtering model and the Zakai equation
2．1 Stochastic filtering
2．1．1 A general introduction
2．1．2 The filtering equations
2．1．3 Finite dimensional filters
2．1．4 Filtering from point process observations
2．2 The filtering model
2．2．1 Unobserved state process
2．2．2 Observations
2．2．3 The objective
2．3 The innovations processes
2．4 The Zakai equations
2．4．1 A new measure
2．4．2 The unnormalized filtering equations
Chapter 3 Numerical methods
3．1 A finite dimensional filter
3．1．1 Two special cases
3．1．2 A finite dimensional filter
3．2 The finite-state Markov chain approximation
3．2．1 Approximating Markov chain
3．2．2 Filter
3．2．3 Numerical solution
3．3 Particle methods
Chapter 4 Linear stochastic PDEs
4．1 Semigroup approach
4．1．1 Semigroup
4．1．2 Linear SPDEs
4．2 The variational approach to linear parabolic SPDEs
4．2．1 General setting
4．2．2 Basic results for linear parabolic SPDEs with Gaussiau noise
Chapter 5 Unnormalized conditional density
5．1 Assumptions
5．2 Main results
5．3 Finding the unnormalized conditional density
5．4 Proof of Theorem 5．3
5．4．1 Some existence and uniqueness results on stochastic PDEs
5．4．2 The backward SPDEs
5．4．3 The unnormalized conditional density
Chapter 6 Convergence results
6．1 Introduction
6．2 The mild form of the Zakal equation
6．3 The stochastic integral
6．4 Continuity theorem
6．4．1 Continuity theorem
6．4．2 Proofs
6．5 Galerkin approximation
Chapter 7 Galerkin approximation
7．1 SDEs
7．1．1 Analytical solution
7．1．2 Numerical methods for SDEs
7．2 Basis functions
7．2．1 Gaussiau series
7．2．2 Hermite expansion
7．3 The adaptive Galerkin approximation
7．3．1 Introduction
7．3．2 The adaptive Galerkin approximation
7．3．3 The adaptive Galerkin approximation with Hermite polynomials
7．4 Proofs
7．5 Simulation studies
7．5．1 Tables
7．5．2 Figures
7．5．3 Summary
Appendix A Auxiliary calculations
A．1 Preliminaries
A．1．1 Sobolev spaces
A．1．2 Some spaces of processes
A．2 Some Hilbert spaces
Appendix B List of frequently used notations and symbols
Bibliography
1．1 Preliminary work
1．2 Overview of the book
Chapter 2 Filtering model and the Zakai equation
2．1 Stochastic filtering
2．1．1 A general introduction
2．1．2 The filtering equations
2．1．3 Finite dimensional filters
2．1．4 Filtering from point process observations
2．2 The filtering model
2．2．1 Unobserved state process
2．2．2 Observations
2．2．3 The objective
2．3 The innovations processes
2．4 The Zakai equations
2．4．1 A new measure
2．4．2 The unnormalized filtering equations
Chapter 3 Numerical methods
3．1 A finite dimensional filter
3．1．1 Two special cases
3．1．2 A finite dimensional filter
3．2 The finite-state Markov chain approximation
3．2．1 Approximating Markov chain
3．2．2 Filter
3．2．3 Numerical solution
3．3 Particle methods
Chapter 4 Linear stochastic PDEs
4．1 Semigroup approach
4．1．1 Semigroup
4．1．2 Linear SPDEs
4．2 The variational approach to linear parabolic SPDEs
4．2．1 General setting
4．2．2 Basic results for linear parabolic SPDEs with Gaussiau noise
Chapter 5 Unnormalized conditional density
5．1 Assumptions
5．2 Main results
5．3 Finding the unnormalized conditional density
5．4 Proof of Theorem 5．3
5．4．1 Some existence and uniqueness results on stochastic PDEs
5．4．2 The backward SPDEs
5．4．3 The unnormalized conditional density
Chapter 6 Convergence results
6．1 Introduction
6．2 The mild form of the Zakal equation
6．3 The stochastic integral
6．4 Continuity theorem
6．4．1 Continuity theorem
6．4．2 Proofs
6．5 Galerkin approximation
Chapter 7 Galerkin approximation
7．1 SDEs
7．1．1 Analytical solution
7．1．2 Numerical methods for SDEs
7．2 Basis functions
7．2．1 Gaussiau series
7．2．2 Hermite expansion
7．3 The adaptive Galerkin approximation
7．3．1 Introduction
7．3．2 The adaptive Galerkin approximation
7．3．3 The adaptive Galerkin approximation with Hermite polynomials
7．4 Proofs
7．5 Simulation studies
7．5．1 Tables
7．5．2 Figures
7．5．3 Summary
Appendix A Auxiliary calculations
A．1 Preliminaries
A．1．1 Sobolev spaces
A．1．2 Some spaces of processes
A．2 Some Hilbert spaces
Appendix B List of frequently used notations and symbols
Bibliography
展開(kāi)全部
不完全市場(chǎng)信息下信用風(fēng)險(xiǎn)模型的研究(英文版) 作者簡(jiǎn)介
徐凌，中國(guó)石油大學(xué)(華東)經(jīng)濟(jì)管理學(xué)院副教授、碩士生導(dǎo)師；研究方向：金融工程、信用風(fēng)險(xiǎn)建模、統(tǒng)計(jì)等。出版《人才統(tǒng)計(jì)學(xué)》等著作2部，發(fā)表高水平學(xué)術(shù)論文10余篇，主持國(guó)家自然科學(xué)基金、教育部人文社科基金、教育部歸國(guó)留學(xué)基金各1項(xiàng)，參與國(guó)家級(jí)、省部級(jí)、校級(jí)教改項(xiàng)目等10余項(xiàng)。 徐梅，中國(guó)石油大學(xué)(華東)經(jīng)濟(jì)管理學(xué)院副教授、碩士生導(dǎo)師。
書友推薦
- >
二體千字文
- >
經(jīng)典常談
- >
小考拉的故事-套裝共3冊(cè)
- >
巴金－再思錄
- >
中國(guó)人在烏蘇里邊疆區(qū):歷史與人類學(xué)概述
- >
朝聞道
- >
月亮虎
- >
上帝之肋:男人的真實(shí)旅程
本類暢銷
