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Roberto Savona

Personal Details

First Name:Roberto
Middle Name:
Last Name:Savona
Suffix:
RePEc Short-ID:psa1189
https://sites.google.com/site/robertosavonaunibs/

Affiliation

Dipartimento di Economia e Management
Università degli Studi di Brescia

Brescia, Italy
http://www.unibs.it/aree-disciplinari/economia
RePEc:edi:febreit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," Working Papers 2019-03, Joint Research Centre, European Commission.
  2. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2014. "Financial Symmetry and Moods in the Market," Documents de travail du Centre d'Economie de la Sorbonne 14030, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  3. P. Manasse & R. Savona & M. Vezzoli, 2013. "Rules of Thumb for Banking Crises in Emerging Markets," Working Papers wp872, Dipartimento Scienze Economiche, Universita' di Bologna.
  4. Roberto Savona & Marika Vezzoli, 2012. "Fitting and Forecasting Sovereign Defaults Using Multiple Risk Signals," Working Papers 2012_26, Department of Economics, University of Venice "Ca' Foscari".
  5. Gianni Amisano & Roberto Savona, 2007. "Imperfect Predictability and Mutual Fund Dynamics: How Managers Use Predictors in Changing Systematic Risk," Working Papers 0706, University of Brescia, Department of Economics.

Articles

  1. Roberto Savona & Cesare Orsini, 2019. "Taking the right course navigating the ERC universe," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 157-174, May.
  2. Veni Arakelian & Petros Dellaportas & Roberto Savona & Marika Vezzoli, 2019. "Sovereign risk zones in Europe during and after the debt crisis," Quantitative Finance, Taylor & Francis Journals, vol. 19(6), pages 961-980, June.
  3. Gianni Amisano & Roberto Savona, 2017. "Mutual Funds Dynamics and Economic Predictors," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 302-330.
  4. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2016. "Danger Zones for Banking Crises in Emerging Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 360-381, October.
  5. Silvia Figini & Roberto Savona & Marika Vezzoli, 2016. "Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 6-20, January.
  6. Roberto Savona & Marika Vezzoli, 2015. "Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
  7. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2015. "Financial Symmetry and Moods in the Market," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
  8. Roberto Savona, 2014. "Risk and beta anatomy in the hedge fund industry," The European Journal of Finance, Taylor & Francis Journals, vol. 20(1), pages 1-32, January.
  9. Savona, Roberto, 2014. "Hedge fund systemic risk signals," European Journal of Operational Research, Elsevier, vol. 236(1), pages 282-291.
  10. Roberto Savona, 2014. "Detecting Early Warnings for Hedge Fund Contagion," Bankers, Markets & Investors, ESKA Publishing, issue 129, pages 60-73, March-Apr.
  11. Roberto Savona & Marika Vezzoli, 2012. "Multidimensional Distance‐To‐Collapse Point And Sovereign Default Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 205-228, October.
  12. Roberto Savona, 2006. "Tax‐induced Dissimilarities Between Domestic and Foreign Mutual Funds in Italy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 35(2), pages 173-202, July.
    RePEc:taf:apfiec:v:16:y:2006:i:4:p:303-318 is not listed on IDEAS

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. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," Working Papers 2019-03, Joint Research Centre, European Commission.

    Cited by:

    1. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    2. Caravaggio, Nicola & Carnazza, Giovanni, 2022. "The Italian nominal interest rate conundrum: A problem of growth or public finance?," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 313-326.

  2. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2014. "Financial Symmetry and Moods in the Market," Documents de travail du Centre d'Economie de la Sorbonne 14030, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

    Cited by:

    1. T. T. Chen & B. Zheng & Y. Li & X. F. Jiang, 2017. "New approaches in agent-based modeling of complex financial systems," Papers 1703.06840, arXiv.org.
    2. J{o}rgen Vitting Andersen & Andrzej Nowak, 2020. "Symmetry and financial Markets," Papers 2007.08475, arXiv.org.
    3. Yi-Fang Liu & Jørgen Vitting Andersen & Philippe de Peretti, 2016. "Onset of financial instability studied via agent-based models," Post-Print hal-01397400, HAL.
    4. C. M. Rodr'iguez-Mart'inez & H. F. Coronel-Brizio & A. R. Hern'andez-Montoya, 2019. "A multi-scale symmetry analysis of uninterrupted trends returns of daily financial indices," Papers 1908.11204, arXiv.org.
    5. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2015. "Financial Symmetry and Moods in the Market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01215755, HAL.
    6. Rodríguez-Martínez, C.M. & Coronel-Brizio, H.F. & Hernández-Montoya, A.R., 2021. "A multi-scale symmetry analysis of uninterrupted trends returns in daily financial indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    7. Andrea Giuseppe Di Iura & Giulia Terenzi, 2021. "A Bayesian analysis of gain-loss asymmetry," Papers 2104.06044, arXiv.org.
    8. Andrea Di Iura & Giulia Terenzi, 2022. "A Bayesian analysis of gain-loss asymmetry," SN Business & Economics, Springer, vol. 2(5), pages 1-23, May.
    9. Chen, Ting-Ting & Zheng, Bo & Li, Yan & Jiang, Xiong-Fei, 2018. "Information driving force and its application in agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 593-601.

  3. P. Manasse & R. Savona & M. Vezzoli, 2013. "Rules of Thumb for Banking Crises in Emerging Markets," Working Papers wp872, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Juan Aparicio & Miguel A. Duran & Ana Lozano-Vivas & Jesus T. Pastor, 2024. "Are Charter Value and Supervision Aligned? A Segmentation Analysis," Papers 2401.12274, arXiv.org.
    2. Ons Jedidi & Jean Sébastien Pentecote, 2015. "Robust Signals for Banking Crises," Economics Bulletin, AccessEcon, vol. 35(3), pages 1617-1629.
    3. Waelchli Boris, 2016. "A proximity based macro stress testing framework," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-26, November.
    4. Stolbov, Mikhail, 2013. "Anatomy of international banking crises at the onset of the Great Recession," MPRA Paper 51236, University Library of Munich, Germany.
    5. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    6. Ons Jedidi & Jean-Sébastien Pentecôte, 2015. "Prédire les crises bancaires : un système d’alerte robuste," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 189-225.
    7. Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.
    8. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
    9. Mr. Plamen K Iossifov, 2021. "Cyclical Patterns of Systemic Risk Metrics: Cross-Country Analysis," IMF Working Papers 2021/028, International Monetary Fund.

  4. Roberto Savona & Marika Vezzoli, 2012. "Fitting and Forecasting Sovereign Defaults Using Multiple Risk Signals," Working Papers 2012_26, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Dawood, Mary & Horsewood, Nicholas & Strobel, Frank, 2017. "Predicting sovereign debt crises: An Early Warning System approach," Journal of Financial Stability, Elsevier, vol. 28(C), pages 16-28.
    2. Juan Aparicio & Miguel A. Duran & Ana Lozano-Vivas & Jesus T. Pastor, 2024. "Are Charter Value and Supervision Aligned? A Segmentation Analysis," Papers 2401.12274, arXiv.org.
    3. Gilles Dufrénot & Anne-Charlotte Paret Onorato, 2016. "Power-Law Distribution in the Debt-to-Fiscal Revenue Ratio: Empirical Evidence and a Theoretical Model," AMSE Working Papers 1627, Aix-Marseille School of Economics, France.
    4. Salim Lahmiri, 2017. "A two‐step system for direct bank telemarketing outcome classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(1), pages 49-55, January.
    5. Waelchli Boris, 2016. "A proximity based macro stress testing framework," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-26, November.
    6. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2013. "Rules of Thumb for Banking Crises in Emerging Markets," Working Papers 481, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Doemeland,Doerte & Estevão,Marcello & Jooste,Charl & Sampi Bravo,James Robert Ezequiel & Tsiropoulos,Vasileios, 2022. "Debt Vulnerability Analysis : A Multi-Angle Approach," Policy Research Working Paper Series 9929, The World Bank.
    8. Arazmuradov, Annageldy, 2016. "Assessing sovereign debt default by efficiency," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 100-113.
    9. Mr. Andrew J Tiffin, 2019. "Machine Learning and Causality: The Impact of Financial Crises on Growth," IMF Working Papers 2019/228, International Monetary Fund.
    10. Anastasios Petropoulos & Vasilis Siakoulis & Evangelos Stavroulakis, 2022. "Towards an early warning system for sovereign defaults leveraging on machine learning methodologies," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 118-129, April.
    11. Gilles Dufrénot & Anne-Charlotte Paret, 2018. "Sovereign debt in emerging market countries: not all of them are serial defaulters," Post-Print hal-01890440, HAL.
    12. Gilles Dufrénot & Carolina Ulloa Suarez, 2019. "Public finance sustainability in Europe: a behavioral model," AMSE Working Papers 1929, Aix-Marseille School of Economics, France.
    13. Mamdouh Abdelmoula M. Abdelsalama & Hany Abdel-Latif, 2019. "An optimal early warning system for currency crises under model uncertainty," Working Papers 1334, Economic Research Forum, revised 21 Aug 2019.
    14. Kehinde Damilola Ilesanmi & Devi Datt Tewari, 2021. "An Early Warning Signal (EWS) Model for Predicting Financial Crisis in Emerging African Economies," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(1), pages 101-110, January.
    15. Panizza, Ugo & Caselli, Francesca & Faralli, Matilde & Manasse, Paolo, 2021. "On the Benefits of Repaying," CEPR Discussion Papers 16539, C.E.P.R. Discussion Papers.
    16. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    17. Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.
    18. Carmine Gabriele, 2019. "Learning from trees: A mixed approach to building early warning systems for systemic banking crises," Working Papers 40, European Stability Mechanism.
    19. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    20. 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).
    21. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2021. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Working Paper Series 2614, European Central Bank.
    22. Gould, David M. & Melecky, Martin & Panterov, Georgi, 2016. "Finance, growth and shared prosperity: Beyond credit deepening," Journal of Policy Modeling, Elsevier, vol. 38(4), pages 737-758.
    23. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
    24. Alex Lenkoski & Fredrik L. Aanes, 2020. "Sovereign Risk Indices and Bayesian Theory Averaging," Econometrics, MDPI, vol. 8(2), pages 1-24, May.
    25. Mark Joy & Marek Rusnák & Kateřina Šmídková & Bořek Vašíček, 2017. "Banking and Currency Crises: Differential Diagnostics for Developed Countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 44-67, January.
    26. Costantini, Mauro & Kunst, Robert M., 2021. "On using predictive-ability tests in the selection of time-series prediction models: A Monte Carlo evaluation," International Journal of Forecasting, Elsevier, vol. 37(2), pages 445-460.
    27. Roberto Savona & Marika Vezzoli, 2012. "Multidimensional Distance‐To‐Collapse Point And Sovereign Default Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 205-228, October.
    28. Fu, Junhui & Zhou, Qingling & Liu, Yufang & Wu, Xiang, 2020. "Predicting stock market crises using daily stock market valuation and investor sentiment indicators," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    29. Dufrénot, Gilles & Paret, Anne-Charlotte, 2019. "Power-law distribution in the external debt-to-fiscal revenue ratios: Empirical evidence and a theoretical model," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 341-359.
    30. Alexandr Patalaha & Maria A. Shchepeleva, 2023. "Bank Crisis Management Policies and the New Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 43-60, December.
    31. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    32. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    33. Sofiane El Ouardi, 2023. "Leading indicators of sovereign defaults in middle- and low-income countries: the role of foreign exchange reserve ratios in times of pandemic," Economics Bulletin, AccessEcon, vol. 43(2), pages 793-812.
    34. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.
    35. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).

  5. Gianni Amisano & Roberto Savona, 2007. "Imperfect Predictability and Mutual Fund Dynamics: How Managers Use Predictors in Changing Systematic Risk," Working Papers 0706, University of Brescia, Department of Economics.

    Cited by:

    1. Fedele, Alessandro & Panteghini, Paolo M. & Vergalli, Sergio, 2010. "Optimal Investment and Financial Strategies under Tax Rate Uncertainty," Institutions and Markets Papers 91001, Fondazione Eni Enrico Mattei (FEEM).
    2. Monica Billio & Roberto Casarin, 2010. "Bayesian Estimation of Stochastic-Transition Markov-Switching Models for Business Cycle Analysis," Working Papers 1002, University of Brescia, Department of Economics.
    3. Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2009. "The Phillips curve and the Italian lira, 1861-1998," Working Papers 0908, University of Brescia, Department of Economics.
    4. Alessandro Fedele & Raffaele Miniaci, 2010. "Do Social Enterprises Finance Their Investments Differently from For-profit Firms? The Case of Social Residential Services in Italy," Journal of Social Entrepreneurship, Taylor & Francis Journals, vol. 1(2), pages 174-189, October.
    5. Martin Meier & Enrico Minelli & Herakles Polemarchakis, 2009. "Competitive Markets with Private Information on Both Sides," Working Papers 0917, University of Brescia, Department of Economics.
    6. Rosella Levaggi & Francesco Menoncin, 2009. "Decentralized provision of merit and impure public goods," Working Papers 0909, University of Brescia, Department of Economics.
    7. Alberto Bisin & John Geanakoplos & Piero Gottardi & Enrico Minelli & Heracles Polemarchakis, 2009. "Markets and Contracts," Working Papers 0915, University of Brescia, Department of Economics.
    8. Francesco Menoncin & Paolo Panteghini, 2009. "Retrospective Capital Gains taxation in the real world," Working Papers 0910, University of Brescia, Department of Economics.
    9. Alessandro Fedele & Francesco Liucci & Andrea Mantovani, 2009. "Credit availability in the crisis: the European investment bank group," Working Papers 0913, University of Brescia, Department of Economics.

Articles

  1. Roberto Savona & Cesare Orsini, 2019. "Taking the right course navigating the ERC universe," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 157-174, May.

    Cited by:

    1. Charles-Albert Lehalle & Guillaume Simon, 2021. "Portfolio selection with active strategies: how long only constraints shape convictions," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 443-463, October.

  2. Veni Arakelian & Petros Dellaportas & Roberto Savona & Marika Vezzoli, 2019. "Sovereign risk zones in Europe during and after the debt crisis," Quantitative Finance, Taylor & Francis Journals, vol. 19(6), pages 961-980, June.

    Cited by:

    1. Foglia, Matteo & Angelini, Eliana, 2020. "The diabolical sovereigns/banks risk loop: A VAR quantile design," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    2. Guillaume Belly & Lukas Boeckelmann & Carlos Mateo Caicedo Graciano & Alberto Di Iorio & Klodiana Istrefi & Vasileios Siakoulis & Arthur Stalla-Bourdillon, 2023. "Forecasting sovereign risk in the Euro area via machine learning," Post-Print hal-04459577, HAL.
    3. Anastasios Petropoulos & Vasilis Siakoulis & Evangelos Stavroulakis, 2022. "Towards an early warning system for sovereign defaults leveraging on machine learning methodologies," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 118-129, April.
    4. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    5. Gilles Dufrénot & Fredj Jawadi & Zied Ftiti, 2022. "Sovereign bond market integration in the euro area: a new empirical conceptualization," Annals of Operations Research, Springer, vol. 318(1), pages 147-161, November.
    6. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).

  3. Gianni Amisano & Roberto Savona, 2017. "Mutual Funds Dynamics and Economic Predictors," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 302-330.

    Cited by:

    1. Lambert, Marie & Platania, Federico, 2020. "The macroeconomic drivers in hedge fund beta management," Economic Modelling, Elsevier, vol. 91(C), pages 65-80.
    2. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Tsionas, Mike G., 2021. "Trading off accuracy for speed: Hedge funds' decision-making under uncertainty," International Review of Financial Analysis, Elsevier, vol. 75(C).

  4. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2016. "Danger Zones for Banking Crises in Emerging Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 360-381, October.

    Cited by:

    1. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    2. Panizza, Ugo & Caselli, Francesca & Faralli, Matilde & Manasse, Paolo, 2021. "On the Benefits of Repaying," CEPR Discussion Papers 16539, C.E.P.R. Discussion Papers.
    3. Ayesha Afzal & Nawazish Mirza & Fatima Arshad, 2021. "Market discipline in South Asia: Evidence from commercial banking sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2251-2262, April.
    4. Andrej Bugajev & Olga R. Šostak, 2018. "An Algorithm for Modelling the Impact of the Judicial Conflict-Resolution Process on Construction Investment," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    5. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).
    6. Mr. Plamen K Iossifov, 2021. "Cyclical Patterns of Systemic Risk Metrics: Cross-Country Analysis," IMF Working Papers 2021/028, International Monetary Fund.

  5. Silvia Figini & Roberto Savona & Marika Vezzoli, 2016. "Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 6-20, January.

    Cited by:

    1. Jasdeep S. Banga & B. Wade Brorsen, 2019. "Profitability of alternative methods of combining the signals from technical trading systems," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(1), pages 32-45, January.
    2. Salim Lahmiri, 2017. "A two‐step system for direct bank telemarketing outcome classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(1), pages 49-55, January.
    3. Salim Lahmiri & Stelios Bekiros & Anastasia Giakoumelou & Frank Bezzina, 2020. "Performance assessment of ensemble learning systems in financial data classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 3-9, January.
    4. Paritosh Navinchandra Jha & Marco Cucculelli, 2021. "A New Model Averaging Approach in Predicting Credit Risk Default," Risks, MDPI, vol. 9(6), pages 1-15, June.
    5. Parimal Kumar Giri & Sagar S. De & Sachidananda Dehuri & Sung‐Bae Cho, 2021. "Biogeography based optimization for mining rules to assess credit risk," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 35-51, January.
    6. Salim Lahmiri, 2016. "Features selection, data mining and finacial risk classification: a comparative study," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 265-275, October.

  6. Roberto Savona & Marika Vezzoli, 2015. "Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
    See citations under working paper version above.
  7. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2015. "Financial Symmetry and Moods in the Market," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    See citations under working paper version above.
  8. Roberto Savona, 2014. "Risk and beta anatomy in the hedge fund industry," The European Journal of Finance, Taylor & Francis Journals, vol. 20(1), pages 1-32, January.

    Cited by:

    1. Huang, Ying Sophie & Chen, Carl R. & Kato, Isamu, 2017. "Different strokes by different folks: The dynamics of hedge fund systematic risk exposure and performance," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 367-388.
    2. Savona, Roberto, 2014. "Hedge fund systemic risk signals," European Journal of Operational Research, Elsevier, vol. 236(1), pages 282-291.
    3. Lambert, Marie & Platania, Federico, 2020. "The macroeconomic drivers in hedge fund beta management," Economic Modelling, Elsevier, vol. 91(C), pages 65-80.
    4. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Tsionas, Mike G., 2021. "Trading off accuracy for speed: Hedge funds' decision-making under uncertainty," International Review of Financial Analysis, Elsevier, vol. 75(C).

  9. Savona, Roberto, 2014. "Hedge fund systemic risk signals," European Journal of Operational Research, Elsevier, vol. 236(1), pages 282-291.

    Cited by:

    1. Thonifho Pollen Muridili & Ruschelle Sgammini & Sune Ferreira-Schenk & John George Jansen van Rensburg & Daniel Mokatsanyane, 2022. "The Impact of Covid-19 on the Performance of Hedge Funds Compared to Mutual Funds in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 12(6), pages 133-144, November.
    2. Masci, Chiara & Johnes, Geraint & Agasisti, Tommaso, 2018. "Student and school performance across countries: A machine learning approach," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1072-1085.
    3. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    4. Lakshithe Wagalath, 2016. "Feedback effects and endogenous risk in financial markets," Finance, Presses universitaires de Grenoble, vol. 37(2), pages 39-74.
    5. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    6. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.

  10. Roberto Savona & Marika Vezzoli, 2012. "Multidimensional Distance‐To‐Collapse Point And Sovereign Default Prediction," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 205-228, October.

    Cited by:

    1. Casu, Barbara & Clare, Andrew & Saleh, Nashwa, 2011. "Towards a new model for early warning signals for systemic financial fragility and near crises: an application to OECD countries," MPRA Paper 37043, University Library of Munich, Germany.
    2. Salim Lahmiri, 2017. "A two‐step system for direct bank telemarketing outcome classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(1), pages 49-55, January.
    3. Salim Lahmiri & Stelios Bekiros & Anastasia Giakoumelou & Frank Bezzina, 2020. "Performance assessment of ensemble learning systems in financial data classification," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 3-9, January.
    4. Savona, Roberto, 2014. "Hedge fund systemic risk signals," European Journal of Operational Research, Elsevier, vol. 236(1), pages 282-291.
    5. Silvia Figini & Roberto Savona & Marika Vezzoli, 2016. "Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 6-20, January.
    6. Rungporn Roengpitya, 2012. "Proposal of New Hybrid PD Estimation Models for the Low Default Portfolios (LDPs), Empirical Comparisons and Policy Implications," Working Papers 2012-03, Monetary Policy Group, Bank of Thailand.
    7. Carmine Gabriele, 2019. "Learning from trees: A mixed approach to building early warning systems for systemic banking crises," Working Papers 40, European Stability Mechanism.
    8. Mark Joy & Marek Rusnák & Kateřina Šmídková & Bořek Vašíček, 2017. "Banking and Currency Crises: Differential Diagnostics for Developed Countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 44-67, January.
    9. Rungporn Roengpitya & Pratabjai Nilla-or, 2012. "Challenges on the Validation of PD Models for Low Default Portfolios (LDPs) and Regulatory Policy Implications," Working Papers 2012-02, Monetary Policy Group, Bank of Thailand.
    10. Salim Lahmiri, 2016. "Features selection, data mining and finacial risk classification: a comparative study," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 265-275, October.

  11. Roberto Savona, 2006. "Tax‐induced Dissimilarities Between Domestic and Foreign Mutual Funds in Italy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 35(2), pages 173-202, July.

    Cited by:

    1. Kee‐Hong Bae & Junesuh Yi, 2008. "The Impact of the Short‐Short Rule Repeal on the Timing Ability of Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 969-997, September.
    2. Benoît Dewaele & Iliya Markov & Hugues Pirotte & N. Tuchschmid, 2011. "Does manager offshore experience count in the alternative UCITS universe?," Working Papers CEB 11-060, ULB -- Universite Libre de Bruxelles.
    3. Giuseppe Cappelletti & Giovanni Guazzarotti & Pietro Tommasino, 2019. "Tax Deferral and Mutual Fund Inflows: Evidence from a Quasi‐Natural Experiment," Fiscal Studies, John Wiley & Sons, vol. 40(2), pages 211-237, June.
    4. Grose, Chris & Dasilas, Apostolos & Alexakis, Christos, 2014. "Performance persistence in fixed interest funds: With an eye on the post-debt crisis period," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 155-182.

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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 7 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 (3) 2013-03-30 2013-06-16 2019-06-24
  2. NEP-CBA: Central Banking (3) 2012-11-17 2013-03-30 2013-06-16
  3. NEP-FOR: Forecasting (3) 2012-11-17 2013-03-30 2013-06-16
  4. NEP-RMG: Risk Management (3) 2012-11-17 2013-03-30 2013-06-16
  5. NEP-CMP: Computational Economics (2) 2014-05-04 2014-12-19
  6. NEP-EEC: European Economics (1) 2019-06-24
  7. NEP-FMK: Financial Markets (1) 2015-11-01
  8. NEP-MAC: Macroeconomics (1) 2013-03-30
  9. NEP-OPM: Open Economy Macroeconomics (1) 2019-06-24
  10. NEP-SEA: South East Asia (1) 2013-06-16

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