Introduction to Quantitative Tools for Finance

Catalog 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.