Course content
The course provides the quantitative tools necessary for successfully following courses like Investments, Empirical Finance, and Derivatives and Fixed Income.
The topics covered include:
Analysis: Functions and their properties, Differentiation and Taylor series approximations, Equation solving, Optimization without or with constraints, Integration.
Linear Algebra: Vector and matrix algebra, Linear equation systems.
Statistics: Random variables and probability distributions, Inference, Hypothesis testing, Regression models, Monte Carlo methods.
Examples from finance and economics are given throughout.
The couse also introduces students to how IT tools (e.g. Excel, VBA, Python or similar) can be used for solving quantitative problems in finance.
See course description in course catalogue