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内容大纲
这是一套随机分析在定量经济学领域中应用方面的著名教材，第1卷主要包括随机分析的基础性知识和离散时间模型；本书各章有习题，适用于掌握微积积分基础知识的大学高年级本科生和硕士研究生。 -
作者介绍
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目录
1 The Binomial No-Arbitrage Pricing Model
1.1 One-Period Binomial Model
1.2 Multiperiod Binomial Model
1.3 Computational Considerations
1.4 Summary
1.5 Notes
1.6 Exercises
2 Probability Theory on Coin Toss Space
2.1 Finite Probability Spaces
2.2 Random Variables, Distributions, and Expectations
2.3 Conditional Expectations
2.4 Martingales
2.5 Markov Processes
2.6 Summary
2.7 Notes
2.8 Exercises
3 State Prices
3.1 Change of Measure
3.2 Radon-Nikodym Derivative Process
3.3 Capital Asset Pricing Model
3.4 Summary
3.5 Notes
3.6 Exercises
4 American Derivative Securities
4.1 Introduction
4.2 Non-Path-Dependent American Derivatives
4.3 Stopping Times
4.4 General American Derivatives
4.5 American Call Options
4.6 Summary
4.7 Notes
4.8 Exercises
5 Random Walk
5.1 Introduction
5.2 First Passage Times
5.3 Reflection Principle
5.4 Perpetual American Put: An Example
5.5 Summary
5.6 Notes
5.7 Exercises
6 Interest-Rate-Dependent Assets
6.1 Introduction
6.2 Binomial Model for Interest Rates
6.3 Fixed-Income Derivatives
6.4 Forward Measures
6.5 Futures
6.6 Summary
6.7 Notes
6.8 Exercises
Proof of Fundamental Properties of Conditional Expectations
References
Index
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