doc. PhDr. Jiří Kukačka, Ph.D.

Jiří Kukačka is an Associate Professor at the Institute of Economic Studies, Charles University, Prague, where he teaches econometrics and serves as Director of Master Studies. He specializes in financial econometrics, behavioral finance and macroeconomics, and estimation of agent-based models. He has published in leading journals, including JEDC, JEBO, IRFA, and the Journal of Business Ethics, and has presented his work at more than 50 international conferences. He is also a Research Fellow at the Czech Academy of Sciences, a Co-Editor of the Czech Journal of Economics and Finance, and a Czech Science Foundation Panelist. He studied at Charles University, where he received his Ph.D. in Economics in 2016, and at the University of Bath, United Kingdom. He completed a postdoctoral research stay at the University of California, Irvine, USA, and has been a visiting researcher at institutions in Germany and Italy.

Research profiles: Google Scholar | RePEc | SSRN WPs | GitHub

financial econometrics, behavioral finance and macroeconomics, estimation of agent-based models, machine learning, ESG

Monographs

Chapters in monographs

• Kukačka J. (2019). Simulated maximum likelihood estimation of agent-based models in economics and finance. Network Theory and Agent-Based Modeling in Economics and Finance (pp. 203-226).

Articles

• Kukačka J., & Baruník J. (2013). Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment. Physica A: Statistical Mechanics and its Applications, 392(23), 5920-5938. UT-WOS link
• Kukačka J., Jang T., & Sacht S. (2018). On the Estimation of Behavioral Macroeconomic Models via Simulated Maximum Likelihood. Economics Working Papers, 2018(12), 1-32.
• Kukačka J., & Krištoufek L. (2020). Do 'complex' financial models really lead to complex dynamics? Agent-based models and multifractality. Journal of Economic Dynamics and Control, 113(April), 1-23. UT-WOS link
• Kukačka J., & Baruník J. (2017). Estimation of financial agent-based models with simulated maximum likelihood. Journal of Economic Dynamics and Control, 85(December), 21-45. UT-WOS link
• Kukačka J., & Krištoufek L. (2021). Does parameterization affect the complexity of agent-based models?. Journal of Economic Behavior and Organization, 192(December), 324-356. UT-WOS link
• Kukačka J., & Krištoufek L. (2023). Fundamental and speculative components of the cryptocurrency pricing dynamics. Financial Innovation, 9(1), UT-WOS link
• Kukačka J., & Sacht S. (2023). Estimation of heuristic switching in behavioral macroeconomic models. Journal of Economic Dynamics and Control, 146(January), UT-WOS link
• Kukačka J., & Žíla E. (2026). Wealth, cost, and misperception: Empirical estimation of three interaction channels in a financial-macroeconomic agent-based model. Journal of Economic Behavior & Organization, 248(August 2026), UT-WOS link
• Staněk F., & Kukačka J. (2018). The Impact of the Tobin Tax in a Heterogeneous Agent Model of the Foreign Exchange Market. Computational Economics, 51(4), 865-892. UT-WOS link
• Baruník J., & Kukačka J. (2015). Realizing stock market crashes: stochastic cusp catastrophe model of returns under time-varying volatility. Quantitative Finance, 15(6), 959-973. UT-WOS link
• Polach J., & Kukačka J. (2019). Prospect Theory in the Heterogeneous Agent Model. Journal of Economic Interaction and Coordination, 14(1), 147-174. UT-WOS link
• Havlínová A., & Kukačka J. (2023). Corporate Social Responsibility and Stock Prices After the Financial Crisis: The Role of Strategic CSR Activities. Journal of Business Ethics, 182(1), 223-242. UT-WOS link
• Vainer J., & Kukačka J. (2021). Nash Q-learning agents in Hotelling's model: Reestablishing equilibrium. Communications in Nonlinear Science and Numerical Simulation, 99(August), 1-19. UT-WOS link
• Žíla E., & Kukačka J. (2023). Moment set selection for the SMM using simple machine learning. Journal of Economic Behavior and Organization, 212(August 2023), 366-391. UT-WOS link
• Proaño C., Kukačka J., & Makarewicz T. (2024). Belief-driven dynamics in a behavioral SEIRD macroeconomic model with sceptics. Journal of Economic Behavior and Organization, 217(Januar 2024), 312-333. UT-WOS link
• Franke R., Kukačka J., & Sacht S. (2024). Is the Hamilton regression filter really superior to Hodrick-Prescott detrending?. Macroeconomic Dynamics, 29(May 2024), 1-14. UT-WOS link
• Petrásek L., & Kukačka J. (2025). US equity announcement risk premia. Review of quantitative finance and accounting, 65(1), 345-363. UT-WOS link
• Šíla J., Kočenda E., Krištoufek L., & Kukačka J. (2024). Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness. Journal of International Financial Markets, Institutions and Money, 96(October 2024), UT-WOS link
• Šíla J., Kočenda E., Krištoufek L., & Kukačka J. (2026). Determinants of wash trading in major cryptoexchanges. International Review of Financial Analysis, 117(September 2026), UT-WOS link

Contributions in the conference proceedings

2020 - 2022: Czech Science Foundation: Standard (GACR 20-14817S), "Linking financial and economic agent-based models: An econometric approach", Principal Investigator

2019 - 2021: Charles University: Primus (PRIMUS/19/HUM/017), "Behavioral finance and macroeconomics: New insights for the mainstream", Team Member

2024 - 2026: Golden Course Faculty Teaching Award for Econometrics I

2025: Best Course Teaching Award for Introductory Econometrics

2019: IES FSV UK Alumni Chair

2017: Lindau Nobel Laureate Meeting participation