3 papers
econ.EM2023
Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values
Falco J. Bargagli-Stoffi, Fabio Incerti, Massimo Riccaboni +1
In this contribution, we propose machine learning techniques to predict zombie firms. First, we derive the risk of failure by training and testing our algorithms on disclosed finan…
econ.EM2020
Talents from Abroad. Foreign Managers and Productivity in the United Kingdom
Dimitrios Exadaktylos, Massimo Riccaboni, Armando Rungi
In this paper, we test the contribution of foreign management on firms' competitiveness. We use a novel dataset on the careers of 165,084 managers employed by 13,106 companies in t…
econ.GN2020
Measuring the Input Rank in Global Supply Networks
Armando Rungi, Loredana Fattorini, Kenan Huremovic
We introduce the Input Rank as a measure of relevance of direct and indirect suppliers in Global Value Chains. We conceive an intermediate input to be more relevant for a downstrea…