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Matteo Farnè
(Matteo Farnè)

Personal Details

First Name:Matteo
Middle Name:
Last Name:Farnè
Suffix:
RePEc Short-ID:pfa732
[This author has chosen not to make the email address public]
https://www.unibo.it/sitoweb/matteo.farne/
Terminal Degree:2016 (from RePEc Genealogy)

Affiliation

Dipartimento di Scienze Statistiche "Paolo Fortunati"
Alma Mater Studiorum - Università di Bologna

Bologna, Italy
http://www.stat.unibo.it/
RePEc:edi:dsbolit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Farnè, Matteo & Vouldis, Angelos, 2021. "Banks' risk-taking within a banking union," Working Paper Series 2595, European Central Bank.
  2. Farnè, Matteo & Vouldis, Angelos T., 2018. "A methodology for automised outlier detection in high-dimensional datasets: an application to euro area banks' supervisory data," Working Paper Series 2171, European Central Bank.
  3. Farnè, Matteo & Vouldis, Angelos, 2017. "Business models of the banks in the euro area," Working Paper Series 2070, European Central Bank.

Articles

  1. Farnè, Matteo & Montanari, Angela, 2024. "Large factor model estimation by nuclear norm plus ℓ1 norm penalization," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
  2. Matteo Farnè & Angelos Vouldis, 2024. "ROBOUT: a conditional outlier detection methodology for high-dimensional data," Statistical Papers, Springer, vol. 65(4), pages 2489-2525, June.
  3. Farnè, Matteo & Vouldis, Angelos, 2024. "Do retail-oriented banks have less non-performing loans?," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
  4. Matteo Barigozzi & Matteo Farnè, 2024. "An Algebraic Estimator for Large Spectral Density Matrices," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(545), pages 498-510, January.
  5. Matteo Farnè, 2024. "Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 18(3), pages 797-822, September.
  6. Enrico Bernardi & Matteo Farnè, 2022. "A Log-Det Heuristics for Covariance Matrix Estimation: The Analytic Setup," Stats, MDPI, vol. 5(3), pages 1-11, July.
  7. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
  8. Farnè, Matteo & Vouldis, Angelos, 2021. "Banks’ risk-taking within a banking union," Economics Letters, Elsevier, vol. 204(C).
  9. Matteo Farnè & Angelos T. Vouldis, 2021. "Banks’ business models in the euro area: a cluster analysis in high dimensions," Annals of Operations Research, Springer, vol. 305(1), pages 23-57, October.
  10. Matteo Farnè & Angelos T. Vouldis, 2020. "Does a bank's business model affect its capital and profitability?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.
  11. Farnè, Matteo & Montanari, Angela, 2020. "A large covariance matrix estimator under intermediate spikiness regimes," Journal of Multivariate Analysis, Elsevier, vol. 176(C).
  12. Matteo Farné & Angela Montanari, 2016. "Different estimators of the spectral matrix: an empirical comparison testing a new shrinkage estimator," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(2), pages 354-364, January.

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. Farnè, Matteo & Vouldis, Angelos T., 2018. "A methodology for automised outlier detection in high-dimensional datasets: an application to euro area banks' supervisory data," Working Paper Series 2171, European Central Bank.

    Cited by:

    1. Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023. "Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
    2. Fabio Zambuto, 2021. "Quality checks on granular banking data: an experimental approach based on machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.

  2. Farnè, Matteo & Vouldis, Angelos, 2017. "Business models of the banks in the euro area," Working Paper Series 2070, European Central Bank.

    Cited by:

    1. Ferrara, Giancarlo & Kounetas, Konstantinos E., 2024. "US banks efficiency after global financial crisis: Transient and persistent decomposition," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    2. Luigi Infante & Stefano Piermattei & Raffaele Santioni & Bianca Sorvillo, 2020. "Diversifying away risks through derivatives: an analysis of the Italian banking system," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 621-657, July.
    3. Matteo Farnè & Angelos T. Vouldis, 2020. "Does a bank's business model affect its capital and profitability?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.
    4. Bongini, Paola & Cucinelli, Doriana & Battista, Maria Luisa Di & Nieri, Laura, 2019. "Profitability shocks and recovery in time of crisis evidence from European banks," Finance Research Letters, Elsevier, vol. 30(C), pages 233-239.
    5. Emilia Bonaccorsi di Patti & Francesco Palazzo, 2020. "Bank profitability and macroeconomic conditions: Are business models different?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.
    6. Mr. John C Caparusso & Ms. Yingyuan Chen & Mr. Peter Dattels & Rohit Goel & Paul Hiebert, 2019. "Post-Crisis Changes in Global Bank Business Models: A New Taxonomy," IMF Working Papers 2019/295, International Monetary Fund.
    7. Elien Meuleman & Rudi Vander Vennet, 2022. "Macroprudential Policy, Monetary Policy, and Euro Zone Bank Risk," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
    8. Iustina Alina Boitan & Kamilla Marchewka-Bartkowiak, 2021. "The Sovereign-Bank Nexus in the Face of the COVID-19 Pandemic Outbreak—Evidence from EU Member States," Risks, MDPI, vol. 9(5), pages 1-21, May.
    9. Bolívar, Fernando & Duran, Miguel A. & Lozano-Vivas, Ana, 2023. "Business model contributions to bank profit performance: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Igor Kravchuk & Viktoriia Stoika, 2021. "Business Μodels of Βanks for the Financial Markets in the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 371-382.
    11. Paul Ovidiu Handro, 2019. "Business Models and Banking Regulation Are Going Forward," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 168-178.
    12. Badunenko, Oleg & Kumbhakar, Subal C. & Lozano‐Vivas, Ana, 2021. "Achieving a sustainable cost-efficient business model in banking: The case of European commercial banks," European Journal of Operational Research, Elsevier, vol. 293(2), pages 773-785.
    13. Roberto Savona, 2022. "Bank business models, negative policy rates, and prudential regulation," Annals of Finance, Springer, vol. 18(3), pages 355-392, September.
    14. Stieglitz, Moritz & Wagner, Konstantin, 2020. "Marginal returns to talent for material risk takers in banking," IWH Discussion Papers 20/2020, Halle Institute for Economic Research (IWH).
    15. Farina, Tatiana & Krahnen, Jan Pieter & Pelizzon, Loriana & Wahrenburg, Mark, 2019. "What are the main factors for the subdued profitability of significant banks in the Banking Union, and is the ECB's supervisory response conclusive and exhaustive? A critical assessment of the 2018 SS," SAFE White Paper Series 65, Leibniz Institute for Financial Research SAFE.
    16. Fichert, Frank & Kirschnerová, Ivana & Tomová, Anna, 2020. "Business models in business aviation – An empirical analysis with a focus on Air Charter Companies," Research in Transportation Economics, Elsevier, vol. 79(C).
    17. Lagasio, Valentina & Quaranta, Anna Grazia, 2022. "Cluster analysis of bank business models: The connection with performance, efficiency and risk," Finance Research Letters, Elsevier, vol. 47(PA).
    18. Iustina Alina Boitan & Emilia Mioara Campeanu & Sanja Sever Malis, 2021. "Economic Sentiment Perceptions During COVID-19 Pandemic – A European Cross-Country Impact Assessment," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(Special15), pages 982-982, November.
    19. Domenica Tropeano, 2020. "Does the BRRD affect the retail banking business model in the Euro area?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.

Articles

  1. Farnè, Matteo & Vouldis, Angelos, 2024. "Do retail-oriented banks have less non-performing loans?," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).

    Cited by:

    1. Ma, Baolin & He, Guiqian & An, Jin & Li, Mengding & Sun, Guanglin, 2024. "Capital price distortion, financial leverage, and credit risk in commercial banks," Finance Research Letters, Elsevier, vol. 69(PB).

  2. Matteo Barigozzi & Matteo Farnè, 2024. "An Algebraic Estimator for Large Spectral Density Matrices," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(545), pages 498-510, January.

    Cited by:

    1. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak: Factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org, revised May 2025.

  3. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.

    Cited by:

    1. Candelon, Bertrand & Hasse, Jean-Baptiste, 2023. "Testing for causality between climate policies and carbon emissions reduction," Finance Research Letters, Elsevier, vol. 55(PA).

  4. Matteo Farnè & Angelos T. Vouldis, 2021. "Banks’ business models in the euro area: a cluster analysis in high dimensions," Annals of Operations Research, Springer, vol. 305(1), pages 23-57, October.

    Cited by:

    1. Bolívar, Fernando & Duran, Miguel A. & Lozano-Vivas, Ana, 2023. "Business model contributions to bank profit performance: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Palmieri, Egidio & Ferilli, Greta Benedetta & Altunbas, Yener & Stefanelli, Valeria & Geretto, Enrico Fioravante, 2024. "Business model and ESG pillars: The impacts on banking default risk," International Review of Financial Analysis, Elsevier, vol. 91(C).

  5. Matteo Farnè & Angelos T. Vouldis, 2020. "Does a bank's business model affect its capital and profitability?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.

    Cited by:

    1. Maria Luisa Di Battista & Laura Nieri & Marina Resta & Alessandra Tanda, 2022. "Does Board Collective Suitability Affect Performance and Risk? Evidence from European Banks," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(2), pages 1-1, February.

  6. Farnè, Matteo & Montanari, Angela, 2020. "A large covariance matrix estimator under intermediate spikiness regimes," Journal of Multivariate Analysis, Elsevier, vol. 176(C).

    Cited by:

    1. Enrico Bernardi & Matteo Farnè, 2022. "A Log-Det Heuristics for Covariance Matrix Estimation: The Analytic Setup," Stats, MDPI, vol. 5(3), pages 1-11, July.
    2. Farnè, Matteo & Montanari, Angela, 2024. "Large factor model estimation by nuclear norm plus ℓ1 norm penalization," Journal of Multivariate Analysis, Elsevier, vol. 199(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers 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-BAN: Banking (2) 2017-06-04 2021-10-11. Author is listed
  2. NEP-EEC: European Economics (2) 2017-06-04 2021-10-11. Author is listed
  3. NEP-CBA: Central Banking (1) 2021-10-11. Author is listed
  4. NEP-DCM: Discrete Choice Models (1) 2017-06-04. Author is listed
  5. NEP-ECM: Econometrics (1) 2018-08-13. Author is listed
  6. NEP-FDG: Financial Development and Growth (1) 2021-10-11. Author is listed
  7. NEP-RMG: Risk Management (1) 2021-10-11. Author is listed

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