Probability And Finance Theory

Author: Kian Guan Lim
Editor: World Scientific Publishing Company
ISBN: 9814641952
File Size: 66,81 MB
Format: PDF, Kindle
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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.
Probability and Finance Theory
Language: en
Pages: 536
Authors: Kian Guan Lim
Categories: Business & Economics
Type: BOOK - Published: 2015-09-29 - Publisher: World Scientific Publishing Company

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
Probability And Finance Theory (Second Edition)
Language: en
Pages: 534
Authors: Kian Guan Lim
Categories: Electronic books
Type: BOOK - Published: 2015 - Publisher:

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