DANIELE GIACHINI, ASSISTANT PROFESSOR OF ECONOMICS (RTD A), JOINS EMBEDS
Daniele Giachini has joined the Institute of Economics of the Sant’Anna School and EMbeDS as a non-tenure track Assistant Professor (RTD A) of Economics. He received a Master degree in Economics and Finance (cum laude) from the Università Politecnica delle Marche in 2012, and a Ph.D. in Economics from the Sant’Anna School in 2015. During his doctoral studies he developed Evolutionary Finance models -- investigating emerging market selection outcomes, market efficiency, and collective intelligence. After obtaining his Ph.D. he became research fellow at the Institute of Economics, continuing his research on Evolutionary Finance while also exploring the links between financial and real economic activities.
Daniele is interested in characterizing the selection dynamics operated by markets among an ecology of heterogeneous agents who make investment decisions based on behavioral rules. He also seeks to understand the long-term outcomes of selection in terms of survival, dominance, and disappearance of different rules, and to analyze the information content of emerging prices and its relationship with the “rationality” of individual behavior. Recently, Daniele also started to investigate the connections between machine learning methods and economic models.
What are Daniele's plans for this new chapter of his academic career, in connection with the objectives of EMbeDS?
“Within the EMbeDS Department of Excellence I will study methods for model aggregation which, building upon market selection ideas, can improve the forecasting accuracy of existing econometric and machine learning procedures.”
“The idea is to let different classification or regression models "compete" for prediction in an artificial market, so that the emerging price acts as an aggregate predictor with high forecasting accuracy.”
“Merging economics and machine learning, I will also try to improve the way in which individual behavior is modeled, introducing a form of Artificial Intelligence especially suited for economic modelling and analysis.”
