Giuseppe Pernagallo
Ricercatore/Ricercatrice a tempo determinato di tipo A
Professore/Professoressa a contratto
- Dipartimento di Economia e Statistica "Cognetti de Martiis"
- SSD: SECS-P/02 - politica economica
- ORCID: orcid.org/0000-0002-6035-7728
Contatti
Presso
- Department of Economics and Statistics "Cognetti de Martiis"
- Department of Management "Valter Cantino"
- Dipartimento di Economia e Statistica "Cognetti de Martiis"
- Dipartimento di Management "Valter Cantino"
- Corsi di Studio del Dipartimento di Economia e Statistica "Cognetti de Martiis"
- Corsi online
- Corso di studio in Amministrazione e Controllo Aziendale
- Corso di studio in Economia Aziendale
- Corso di studio in Finanza Aziendale e Mercati Finanziari
Curriculum vitae
Prodotti della ricerca selezionati
Publications in peer reviewed journals
Pernagallo, G. (2024). The student funding dilemma. The Journal of Economic Asymmetries, 30, e00369.
Pernagallo, G., Punzo, A., Torrisi, B. (2024). Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets. Scientific Reports, 14, Article number: 3239.
Pernagallo, G. (2023). An entropy-based measure of correlation for time series, Information Sciences, 643, 119272.
Pernagallo, G. (2023). Science in the mist: A model of asymmetric information for the research market. Metroeconomica, 74 (2), pp. 390–415.
Pernagallo, G., Torrisi, B. (2022). Human capital mobility patterns in the European Union and the financial crisis. Quality & Quantity, 57, 1791–1820 .
Pernagallo, G., Torrisi, B. (2022). A theory of information overload applied to perfectly efficient financial markets. Review of Behavioral Finance, 14 (2), pp. 223–236.
Torrisi, B., Pernagallo, G. (2022). The relationship between academic well-being and territoriality in Italy. Social Indicators Research, 161, pp. 413–431.
Caruso, S., Pernagallo, G. (2021). On the efficiency of online soccer betting markets: a new methodology based on symbolic series. Economics Bulletin, 41 (3), pp. 1451–1460.
Pernagallo, G., Torrisi, B. (2020). A logit model to assess the transparency of Italian public administration websites. Government Information Quarterly, 37 (4), 101519.
Torrisi, B., Pernagallo, G. (2020). Investigating the relationship between job satisfaction and academic brain drain: the Italian case. Scientometrics, 124, pp. 925–952.
Pernagallo, G., Torrisi, B. (2020). Blindfolded monkeys or financial analysts: Who is worth your money? New evidence on informational inefficiencies in the U.S. stock market. Physica A: Statistical Mechanics and its Applications, 539, 122900.
Pernagallo, G. Torrisi, B. (2019). An empirical analysis on the degree of Gaussianity and long memory of financial returns in emerging economies. Physica A: Statistical Mechanics and its Applications, 527, 121296.
Casabianca, T., Marinelli, E., Pernagallo, G., Torrisi, B. (2019). Radiocarbon Dating of the Turin Shroud: New Evidence from Raw Data. Archaeometry, 61 (5), pp. 1223–1231 .
Book Chapters and Conference Proceedings
Pernagallo, G. (2024). Overcoming asymmetric information: A data-driven approach, in the Elgar Companion to Information Economics, editors Prof. J. Włodarczyk and D. Raban.
Pernagallo, G., Torrisi, B., Bennato, D. (2020). A classification algorithm to recognize fake news websites, in Data Science and Social Research – II. Methods, Technologies and Applications, pp. 313-329, Springer.
Torrisi B., Mazzeo F., Pernagallo G. (2018). Business data analytics nei processi d'internazionalizzazione delle PMI, in "Percorsi di ricerca sui processi di creazione e diffusione del valore nelle PMI", Capitolo 9, pp. 205-231, Giappichelli Editore, ISBN 9788892117860.
Reports
Pernagallo, G. (2023). Il patrimonio, la casa, la previdenza e i rischi nell’epoca dell’inflazione, in Indagine sul Risparmio e sulle scelte finanziarie degli italiani 2023, a cura di Giuseppe Russo con Pier Marco Ferraresi, pp. 69–81.
Pernagallo, G. (2022). Focus giovani: una tradizione finanziaria allʼitaliana, in Indagine sul Risparmio e sulle scelte finanziarie degli italiani 2022, a cura di Giuseppe Russo con Pier Marco Ferraresi, pp. 146–167.
Insegnamenti
- Ambiente R ed elementi di programmazione (SWSEED00)
Corsi di Studio del Dipartimento di Economia e Statistica "Cognetti de Martiis" - Software R (SWEACT00)
Corsi di Studio del Dipartimento di Economia e Statistica "Cognetti de Martiis"
Temi di ricerca
Artificial Intelligence; Econometrics & Statistics; Economics of Science; Finance; Human Capital; Information Economics; Innovation; Knowledge; Macroeconomics.
Attività in agenda
Organi