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Alessandro Parrini

Personal Details

First Name:Alessandro
Middle Name:
Last Name:Parrini
Suffix:
RePEc Short-ID:ppa787
Via San Gallo 80, 50129 Firenze (Italy)
+393299843367

Affiliation

(50%) Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti"
Università degli Studi di Firenze

Firenze, Italy
http://www.disia.unifi.it/
RePEc:edi:dsfirit (more details at EDIRC)

(50%) Afdeling Econometrie and Operations Research
School of Business and Economics
Vrije Universiteit Amsterdam

Amsterdam, Netherlands
https://sbe.vu.nl/nl/afdelingen-en-instituten/econometrie-en-or-nieuw/
RePEc:edi:ectvunl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Calza, Alessandro & Hey, Julius-Benjamin & Parrini, Alessandro & Sauer, Stephan, 2021. "Corporate loans, banks’ internal risk estimates and central bank collateral: evidence from the euro area," Working Paper Series 2579, European Central Bank.
  2. Parrini, Alessandro, 2013. "Importance Sampling for Portfolio Credit Risk in Factor Copula Models," MPRA Paper 103745, University Library of Munich, Germany.
  3. Parrini, Alessandro, 2012. "Indirect estimation of GARCH models with alpha-stable innovations," MPRA Paper 38544, University Library of Munich, Germany.
  4. Giorgio Calzolari & Roxana Halbleib & Alessandro Parrini, 2012. "Indirect Estimation of α-Stable Garch Models," Working Paper Series of the Department of Economics, University of Konstanz 2012-31, Department of Economics, University of Konstanz.
  5. Parrini, Alessandro & Doretti, Marco & Lapini, Gabriele, 2010. "Modelli a Equazioni Strutturali per la Valutazione dell'Esperienza Universitaria nell'Ateneo Fiorentino [Structural Equation Models for the assessment of the University experience at the University," MPRA Paper 43412, University Library of Munich, Germany.
  6. Parrini, Alessandro, 2009. "Algoritmi di flusso massimo al minimo costo [Maximum flow - minimum cost algorithms]," MPRA Paper 39759, University Library of Munich, Germany.

Articles

  1. Calzolari, Giorgio & Halbleib, Roxana & Parrini, Alessandro, 2014. "Estimating GARCH-type models with symmetric stable innovations: Indirect inference versus maximum likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 158-171.

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. Calza, Alessandro & Hey, Julius-Benjamin & Parrini, Alessandro & Sauer, Stephan, 2021. "Corporate loans, banks’ internal risk estimates and central bank collateral: evidence from the euro area," Working Paper Series 2579, European Central Bank.

    Cited by:

    1. Auria, Laura & Bingmer, Markus & Graciano, Carlos Mateo Caicedo & Charavel, Clémence & Gavilá, Sergio & Iannamorelli, Alessandra & Levy, Aviram & Maldonado, Alfredo & Resch, Florian & Rossi, Anna Mari, 2021. "Overview of central banks’ in-house credit assessment systems in the euro area," Occasional Paper Series 284, European Central Bank.
    2. Laura Auria & Markus Bingmer & Carlos Mateo Caicedo Graciano & Clémence Charavel & Sergio Gavilá & Alessandra Iannamorelli & Aviram Levy & Alfredo Maldonado & Florian Resch & Anna Maria Rossi & Step, 2021. "Overview of central banks’ in-house credit assessment systems in the euro area," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 13, Bank of Italy, Directorate General for Markets and Payment System.

  2. Giorgio Calzolari & Roxana Halbleib & Alessandro Parrini, 2012. "Indirect Estimation of α-Stable Garch Models," Working Paper Series of the Department of Economics, University of Konstanz 2012-31, Department of Economics, University of Konstanz.

    Cited by:

    1. Yanlin Shi & Lingbing Feng & Tong Fu, 2020. "Markov Regime-Switching in-Mean Model with Tempered Stable Distribution," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1275-1299, April.
    2. Sampaio, Jhames M. & Morettin, Pedro A., 2020. "Stable Randomized Generalized Autoregressive Conditional Heteroskedastic Models," Econometrics and Statistics, Elsevier, vol. 15(C), pages 67-83.
    3. Shi, Yanlin & Feng, Lingbing, 2016. "A discussion on the innovation distribution of the Markov regime-switching GARCH model," Economic Modelling, Elsevier, vol. 53(C), pages 278-288.
    4. Calzolari, Giorgio & Halbleib, Roxana & Parrini, Alessandro, 2014. "Estimating GARCH-type models with symmetric stable innovations: Indirect inference versus maximum likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 158-171.
    5. Lingbing Feng & Yanlin Shi, 2017. "A simulation study on the distributions of disturbances in the GARCH model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1355503-135, January.
    6. Calzolari, Giorgio & Halbleib, Roxana, 2018. "Estimating stable latent factor models by indirect inference," Journal of Econometrics, Elsevier, vol. 205(1), pages 280-301.
    7. Li, Dong & Tao, Yuxin & Yang, Yaxing & Zhang, Rongmao, 2023. "Maximum likelihood estimation for α-stable double autoregressive models," Journal of Econometrics, Elsevier, vol. 236(1).
    8. Feng Lingbing & Shi Yanlin, 2020. "Markov regime-switching autoregressive model with tempered stable distribution: simulation evidence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(1), pages 1-27, February.
    9. Tong Liu & Yanlin Shi, 2022. "Innovation of the Component GARCH Model: Simulation Evidence and Application on the Chinese Stock Market," Mathematics, MDPI, vol. 10(11), pages 1-18, June.

Articles

  1. Calzolari, Giorgio & Halbleib, Roxana & Parrini, Alessandro, 2014. "Estimating GARCH-type models with symmetric stable innovations: Indirect inference versus maximum likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 158-171.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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 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-ECM: Econometrics (2) 2012-05-15 2012-12-10
  2. NEP-ETS: Econometric Time Series (2) 2012-05-15 2012-12-10
  3. NEP-BAN: Banking (1) 2021-08-09
  4. NEP-CBA: Central Banking (1) 2021-08-09
  5. NEP-EEC: European Economics (1) 2021-08-09
  6. NEP-MON: Monetary Economics (1) 2021-08-09
  7. NEP-ORE: Operations Research (1) 2012-05-15
  8. NEP-RMG: Risk Management (1) 2021-08-09

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