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Giuseppe Pernagallo

Personal Details

First Name:Giuseppe
Middle Name:
Last Name:Pernagallo
Suffix:
RePEc Short-ID:ppe930
[This author has chosen not to make the email address public]

Affiliation

Collegio Carlo Alberto
Università degli Studi di Torino

Torino, Italy
https://www.carloalberto.org/
RePEc:edi:fccaait (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Paolo Di Caro & Giuseppe Pernagallo & Antonino Damiano Rossello & Benedetto Torrisi, 2019. "Empirical facts characterizing banking crises: an analysis via binary time series," Papers 1904.12526, arXiv.org.
  2. Giuseppe Pernagallo & Benedetto Torrisi, 2019. "Blindfolded monkeys or financial analysts: who is worth your money? New evidence on informational inefficiencies in the U.S. stock market," Papers 1904.03488, arXiv.org, revised Oct 2019.
  3. Giuseppe Pernagallo & Benedetto Torrisi, 2019. "A Theory of Information overload applied to perfectly efficient financial markets," Papers 1904.03726, arXiv.org.

Articles

  1. Pernagallo, Giuseppe, 2024. "Crypto network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 654(C).
  2. Giuseppe Pernagallo & Benedetto Torrisi, 2023. "Human capital mobility patterns in the European Union and the financial crisis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1791-1820, April.
  3. Giuseppe Pernagallo, 2023. "Science in the mist: A model of asymmetric information for the research market," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 390-415, May.
  4. Benedetto Torrisi & Giuseppe Pernagallo, 2022. "The Relationship Between Academic Well-Being and Territoriality in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 413-431, June.
  5. Salvatore Caruso & Giuseppe Pernagallo, 2021. "On the efficiency of online soccer betting markets: a new methodology based on symbolic series," Economics Bulletin, AccessEcon, vol. 41(3), pages 1451-1460.
  6. Benedetto Torrisi & Giuseppe Pernagallo, 2020. "Investigating the relationship between job satisfaction and academic brain drain: the Italian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 925-952, August.
  7. Pernagallo, Giuseppe & Torrisi, Benedetto, 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, Elsevier, vol. 539(C).
  8. Giuseppe Pernagallo & Benedetto Torrisi, 2020. "A theory of information overload applied to perfectly efficient financial markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 223-236, October.
  9. Pernagallo, Giuseppe & Torrisi, Benedetto, 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, Elsevier, vol. 527(C).
    RePEc:eme:rbf000:rbf-07-2019-0088 is not listed on IDEAS

Chapters

  1. Giuseppe Pernagallo, 2024. "Overcoming asymmetric information: A data-driven approach," Chapters, in: Daphne R. Raban & Julia WÅ‚odarczyk (ed.), The Elgar Companion to Information Economics, chapter 7, pages 135-153, Edward Elgar Publishing.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Giuseppe Pernagallo & Benedetto Torrisi, 2019. "A Theory of Information overload applied to perfectly efficient financial markets," Papers 1904.03726, arXiv.org.

    Cited by:

    1. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    3. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2024. "Capturing the timing of crisis evolution: A machine learning and directional wavelet coherence approach to isolating event-specific uncertainty using Google searches with an application to COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 205(C).

Articles

  1. Giuseppe Pernagallo, 2023. "Science in the mist: A model of asymmetric information for the research market," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 390-415, May.

    Cited by:

    1. Besancenot, Damien & Vranceanu, Radu, 2024. "Reluctance to pursue breakthrough research: A signaling explanation," Research Policy, Elsevier, vol. 53(4).

  2. Benedetto Torrisi & Giuseppe Pernagallo, 2022. "The Relationship Between Academic Well-Being and Territoriality in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 413-431, June.

    Cited by:

    1. Benedetto Torrisi & Giuseppe Pernagallo, 2020. "Investigating the relationship between job satisfaction and academic brain drain: the Italian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 925-952, August.

  3. Benedetto Torrisi & Giuseppe Pernagallo, 2020. "Investigating the relationship between job satisfaction and academic brain drain: the Italian case," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 925-952, August.

    Cited by:

    1. Qinwei Cao & Qiaoyu Meng & Can Wang & Jing Wang & Wanchun Duan, 2023. "The task coordination method of intelligence‐alliance innovation team of universities in Western China," Journal of Regional Science, Wiley Blackwell, vol. 63(2), pages 503-524, March.
    2. Alejandro Vega-Muñoz & Paloma Gónzalez-Gómez-del-Miño & Juan Felipe Espinosa-Cristia, 2021. "Recognizing New Trends in Brain Drain Studies in the Framework of Global Sustainability," Sustainability, MDPI, vol. 13(6), pages 1-27, March.

  4. Giuseppe Pernagallo & Benedetto Torrisi, 2020. "A theory of information overload applied to perfectly efficient financial markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 223-236, October.

    Cited by:

    1. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    3. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2024. "Capturing the timing of crisis evolution: A machine learning and directional wavelet coherence approach to isolating event-specific uncertainty using Google searches with an application to COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 205(C).

  5. Pernagallo, Giuseppe & Torrisi, Benedetto, 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, Elsevier, vol. 527(C).

    Cited by:

    1. Molina-Muñoz, Jesús & Mora-Valencia, Andrés & Perote, Javier, 2020. "Market-crash forecasting based on the dynamics of the alpha-stable distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    2. Salvatore Caruso & Giuseppe Pernagallo, 2021. "On the efficiency of online soccer betting markets: a new methodology based on symbolic series," Economics Bulletin, AccessEcon, vol. 41(3), pages 1451-1460.
    3. Xiao, Di & Wang, Jun, 2021. "Attitude interaction for financial price behaviours by contact system with small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    4. Giuseppe Pernagallo & Benedetto Torrisi, 2019. "Blindfolded monkeys or financial analysts: who is worth your money? New evidence on informational inefficiencies in the U.S. stock market," Papers 1904.03488, arXiv.org, revised Oct 2019.

Chapters

  1. Giuseppe Pernagallo, 2024. "Overcoming asymmetric information: A data-driven approach," Chapters, in: Daphne R. Raban & Julia WÅ‚odarczyk (ed.), The Elgar Companion to Information Economics, chapter 7, pages 135-153, Edward Elgar Publishing.

    Cited by:

    1. Wang, Shucui & Song, Yutong & Min Du, Anna & Liang, Jia, 2024. "The digital economy and entrepreneurial dynamics: An empirical analysis of urban regions in China," Research in International Business and Finance, Elsevier, vol. 71(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FMK: Financial Markets (1) 2019-04-15. Author is listed
  2. NEP-HPE: History and Philosophy of Economics (1) 2019-04-15. Author is listed

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