Overview
Description
Application of mathematical problem solving/statistical analysis to financial decision making and evaluation processes. Topics: regression models, univariate calculus, probability theory/distributions, and portfolio modeling.
Requirements
Prerequisites
- Admittance to Business Administration, Accountancy, or Finance graduate program.
Original catalog text
Prerequisites
Prerequisite(s): Admittance to Business Administration, Accountancy, or Finance graduate program.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Restrictions
Admittance to Business Administration, Accountancy, or Finance graduate program.
Attributes
Standard
Learning Outcomes
- demonstrate understanding of the statistical theories and methods for analyzing financial instruments and financial markets.
- demonstrate how to perform investment analysis by using financial databases such as CRSP and Compustat.
- apply statistical analysis packages such as SAS in managing and analyzing financial data.