Introduction to Quantitative Tools for Finance
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Overview
Description
This course introduces quantitative tools used extensively in finance. Topics covered include random variables, probability concepts, probability distributions typical for financial data, expected value, variance, standard deviation, skewness, kurtosis and quantiles of a distribution, covariance and correlation, hypothesis testing, and basic regression analysis, with an emphasis on applications in investment analysis and portfolio and risk management. The course is delivered with a mixture of lectures, case discussions, and empirical exercises in which students apply the concepts discussed in class to real world financial problems.Prerequisites: Departmental permission required.
Career
Graduate
Credits
Value
3
Max
3
Min
3
Course Count
1
Number Of Credits
3
Number Of Repeats
1
Repeatable
No
Contact Use
Yes
Generate Attendance
No
Left Use
Yes
Present Use
Yes
Reason Use
Yes
Tardy Use
Yes
Template Override
No
Time Use
Yes
Attendance Type
Class Meeting
Auto Create
No
Code
LEC
Instructor Contact Hours
3
Default Section Size
30
Final Exam Type
Yes
Include in Dynamic Date Calc
No
Instruction Mode
In Person
LMS File Type
Blackboard CourseInfo 4
Name
Lecture
OEE Workload Hours
0
Optional Component
No
Preferred Room Features
Academic Scheduling
Workload Hours
3