| Author: | Kian Guan Lim | ISBN: | 9789814641951 |
| Publisher: | World Scientific Publishing Company | Publication: | September 29, 2015 |
| Imprint: | WSPC | Language: | English |
| Author: | Kian Guan Lim |
| ISBN: | 9789814641951 |
| Publisher: | World Scientific Publishing Company |
| Publication: | September 29, 2015 |
| Imprint: | WSPC |
| Language: | English |
This book is an introduction to the mathematical analysis of probability theory and provides some understanding of how probability is used to model random phenomena of uncertainty, specifically in the context of finance theory and applications. The integrated coverage of both basic probability theory and finance theory makes this book useful reading for advanced undergraduate students or for first-year postgraduate students in a quantitative finance course.
The book provides easy and quick access to the field of theoretical finance by linking the study of applied probability and its applications to finance theory all in one place. The coverage is carefully selected to include most of the key ideas in finance in the last 50 years.
The book will also serve as a handy guide for applied mathematicians and probabilists to easily access the important topics in finance theory and economics. In addition, it will also be a handy book for financial economists to learn some of the more mathematical and rigorous techniques so their understanding of theory is more rigorous. It is a must read for advanced undergraduate and graduate students who wish to work in the quantitative finance area.
Contents:
- Probability Distributions
- Conditional Probability
- Laws of Probability
- Theory of Risk and Utility
- State Price and Risk-Neutral Probability
- Single Period Asset Pricing Models
- Stochastic Processes and Martingales
- Dynamic Programming and Multi-period Asset Pricing
- Continuous-Time Asset Pricing Model
- Continuous-Time Option Pricing
- Hedging and More Option Pricing
- Brownian Motion and Technical Trading
- Theory of Markov Chains and Credit Markets
- Interest Rate Modeling and Derivatives
- Risk Measures
Readership: Advanced undergraduate students and 1st year post-graduate students in finance and economics, applied mathematicians, probabilists, financial economists.
Key Features:
- The book is a handy one for applied mathematicians and probabilists to easily access the important topics in finance theory and economics
- It is also a handy book for financial economists to learn some of the more mathematical and rigorous techniques so their understanding of theory is more rigorous
- It provides for very solid and useful learning for advanced undergraduate and graduate students who wish to work in the quantitative finance area
This book is an introduction to the mathematical analysis of probability theory and provides some understanding of how probability is used to model random phenomena of uncertainty, specifically in the context of finance theory and applications. The integrated coverage of both basic probability theory and finance theory makes this book useful reading for advanced undergraduate students or for first-year postgraduate students in a quantitative finance course.
The book provides easy and quick access to the field of theoretical finance by linking the study of applied probability and its applications to finance theory all in one place. The coverage is carefully selected to include most of the key ideas in finance in the last 50 years.
The book will also serve as a handy guide for applied mathematicians and probabilists to easily access the important topics in finance theory and economics. In addition, it will also be a handy book for financial economists to learn some of the more mathematical and rigorous techniques so their understanding of theory is more rigorous. It is a must read for advanced undergraduate and graduate students who wish to work in the quantitative finance area.
Contents:
- Probability Distributions
- Conditional Probability
- Laws of Probability
- Theory of Risk and Utility
- State Price and Risk-Neutral Probability
- Single Period Asset Pricing Models
- Stochastic Processes and Martingales
- Dynamic Programming and Multi-period Asset Pricing
- Continuous-Time Asset Pricing Model
- Continuous-Time Option Pricing
- Hedging and More Option Pricing
- Brownian Motion and Technical Trading
- Theory of Markov Chains and Credit Markets
- Interest Rate Modeling and Derivatives
- Risk Measures
Readership: Advanced undergraduate students and 1st year post-graduate students in finance and economics, applied mathematicians, probabilists, financial economists.
Key Features:
- The book is a handy one for applied mathematicians and probabilists to easily access the important topics in finance theory and economics
- It is also a handy book for financial economists to learn some of the more mathematical and rigorous techniques so their understanding of theory is more rigorous
- It provides for very solid and useful learning for advanced undergraduate and graduate students who wish to work in the quantitative finance area
