Teaching

Python for Finance and the Analysis of Big Data

Lectures 2018

Lecture 1

Lecture 1 Part 2

Lecture 2

Lecture 3 (with solutions)

Lecture 4

Lecture 5

Data for Lecture 5 – CAC40

Data for Lecture 5 – DAX

Data for Lecture 5 – FTSE

Data for Lecture 5 – zip file

Lecture 5 – Basic Code

Lecture 5 – Notebook

Lecture 6

Lecture 6 – Notebook Basic Code

Lecture 6 – Complete Notebook with Solutions

Lecture 7

Lecture 7 – Solutions

Lecture 8

Lecture 8 — Solutions

Lecture 8 – Data

Lecture 9 (Guest Lecture by Gabor Nguyen, SolvencyAnalytics)

Lecture 9 – Jupyter Notebook

Industrial Economics

Lectures 2018

Lesson 1: Introduction and Refresher

Lessons 2 and 3: Basic Constellations in Industrial Economics

Lesson 4: Transaction costs and the “nature of the firm”

Lesson 5: The vertical integration and foreclosure of
markets

Lesson 6: Price Discrimination

Lesson 7: Contestable Markets

Lesson 8: The economy of networks and positive externalities

Lesson 9: Regulation

Lesson 10: The Economics of Knowledge and Information

Lesson 11: Asymmetries of Information

Lesson 12: Sustainable development and corporate strategies