Biography

Julian Winkler is a Research Analyst at Macrocosm with a background in finance. His award-winning work on social-media-driven bull runs and productivity dynamics has been cited by the Financial Times and featured in the Journal of Economic Literature. He now applies that expertise to simulate financial risks in the energy industry.

Recent Publications

Nov 2024
Paper
Changing preferences as a source of stock return variation
Julian Winkler
Jun 2024
Journal
Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
in Industrial and Corporate Change
Jangho Yang ,  Torsten Heinrich ,  Julian Winkler ,  François Lafond ,  Pantelis Koutroumpis ,  J. Doyne Farmer
Mar 2024
Journal
Why Is Productivity Slowing Down?
in Journal of Economic Literature
Ian Goldin ,  Pantelis Koutroumpis ,  François Lafond ,  Julian Winkler
Aug 2023
Paper
Social contagion and asset prices: Reddit's self-organised bull runs
Valentina Semenova ,  Julian Winkler
May 2022
INET Working Paper
No. 2022-08 - Why is productivity slowing down?
Ian Goldin ,  Pantelis Koutroumpis ,  François Lafond ,  Julian Winkler
May 2022
Paper
Accounting for variety
Julian Winkler
Apr 2022
INET Working Paper
No. 2019-14 - Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
Jangho Yang ,  Torsten Heinrich ,  Julian Winkler ,  François Lafond ,  Pantelis Koutroumpis ,  J. Doyne Farmer
May 2021
Blog
Reddit’s self-organised bull runs
Valentina Semenova ,  Julian Winkler
May 2021
INET Working Paper
No. 2021-12 - Why is productivity slowing down?
Ian Goldin ,  Pantelis Koutroumpis ,  François Lafond ,  Julian Winkler
May 2021
INET Working Paper
No. 2021-04 - Reddit’s self-organised bull runs: Social contagion and asset prices
Valentina Semenova ,  Julian Winkler
Feb 2021
Article
How herd behaviour drives action on r/WallStreetBets
Ian Goldin ,  Valentina Semenova ,  Julian Winkler
View All Related Publications

Research Areas

Financial stability
Macroeconomics
The clean energy transition

Programme Teams

Complexity Economics

Related Projects

Energy transition

This project focuses on energy technology portfolios, the predictability of energy transition progress, accelerating the energy transition and forecasting technological progress.
Opinion dynamics

Recent advances in the availability of cheap computational power and real-world data present researchers with an unprecedented opportunity to construct and test mathematical models of human behaviour.
Understanding the economy from the bottom-up

Our models are based on fine-grained data sets at the level of firms, products and industries, with the goal of providing a detailed understanding of the rich and heterogeneous behaviour underlying business cycles, inflation and interest rates, innovation, and long-run growth.