FIN4911 Quantitative Analysis for Financial Decisions


Prerequisite


FIN3711 Investment


Course Description


The course objective is to acquaint students with modern quantitative techniques such as probability, statistics, linear programming and other mathematical models which may be applied to making financial decisions. Topics include the probability theory, Bayes’ theorem, random variables, utility and choices under uncertainty, mathematical programming and decision theory. In particular, emphasis will be placed on the concerned topics as applied to theories of investment decision, costs of capital and capital valuations and working capital management.


Class Material


Course Syllabus

Dr Vesarach's Website

Chapter 1 - Time Value of Money

Chapter 2 - Discounted Cash Flow Applications

Chapter 3 - Statistical Concepts

Chapter 4 - Probability Concept

Chapter 5 - Common Probability Distribution

Chapter 6 - Sampling and Estimation

Chapter 7 - Hypothesis Testing

Chapter 8 - Correlation and Regression

Chapter 9 - Multiple Linear Regression

Chapter 10 - Time Series Analysis