Stefan Voigt
Stefan Voigt
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Tidy Finance with R
During the spring semester 2021 I designed a new course Advanced Empirical Finance: Topics and Data Science for the master students at KU. The course aims at providing a unified coding framework in R to tackle many (probably too many) common issues in empirical finance:
Last updated on Feb 15, 2022
Call for Papers VieCo 2022 (Please circulate!)
We are pleased to announce that the “Vienna–Copenhagen Conference on Financial Econometrics (VieCo)” takes place June 2-4, 2022 in Copenhagen. It is jointly organized by the Department of Economics of the University of Copenhagen and the Department of Statistics and Operations Research of the University of Vienna.
Last updated on Dec 20, 2021
Thesis supervisor needed? Get in touch!
I regularly supervise empirical bachelor projects or master thesis in Finance on the following topics: Machine Learning Applications in Asset Pricing, Optimal Portfolio Choice problems or Microstructure of Decentralized Exchanges.
Last updated on Nov 25, 2021
Connect Four - Deep Reinforcement Learning
Bellman Equation outside of Finance. A short report on my first Kaggle Competition
Stefan Voigt
Last updated on Apr 14, 2020
LobsteR - Analysing a Decade of High-Frequency Trading
A short series of posts on handling high-frequency data from Lobster and R
Stefan Voigt
Last updated on Apr 3, 2020
LobsteR - NASDAQ under a "tidy" Microscope
A short series of posts on handling high-frequency data from Lobster and R
Stefan Voigt
Last updated on Mar 27, 2020
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