Luzius Meisser

Education

• MSc in Computer Science from ETH Zurich, 2006
• MA in Economics from University of Zurich, 2016

Research Interest

• Agent-based Economics, Evolutionary Finance, Financial Economics, Cryptocurrencies

My vision is to build bigger, better, and more versatile economic models by leveraging methods from modern software engineering. Today, most economic models consist of a system of equations. They are fundamentally mathematical and solved analytically or numerically. In contrast, agent-based models are fundamentally algorithmic. Their buildings blocks are stateful, encapsulated agents that interact with each other through open markets. They are solved by running them. While the cleanest way of specifying equation-based models is to use mathematical terms, the cleanest way of specifying agent-based models is source code. Accepting this view, the code becomes the model and all the tools of modern software engineering can be leveraged to work on it and to manage its complexity.

Publications

Journal Article

• Aktien-Token Meisser Luzius, von der Crone Hans Caspar, Monsch Martin In: Gesellschafts- und Kapitalmarktrecht, Vol. 1, p. 1-17, January 2019
• Verfügungsmacht und Verfügungsrecht an Bitcoins im Konkurs Meisser Luzius, Meisser Christian, Kogens Ronald In: Jusletter IT, , May 2018
• Eigenschaften der Kryptowährung Bitcoin Meisser Luzius, Hauser-Spühler Gabriela In: Digma, Vol. 1, p. 6-12, April 2018
• The Code is the Model Meisser Luzius In: International Journal of Microsimulation, Vol. 10, (3), p. 184-201, December 2017
• An agent-based simulation of the stolper–samuelson effect Meisser Luzius, Kreuser C Friedrich In: Computational Economics, Vol. 50, (4), p. 533-547, January 2017