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Marco Bee

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First Name:Marco
Middle Name:
Last Name:Bee
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RePEc Short-ID:pbe243
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Affiliation

Dipartimento di Economia e Management
Università degli Studi di Trento

Trento, Italy
http://www.unitn.it/economia
RePEc:edi:detreit (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. Marco Bee, 2020. "On discriminating between lognormal and Pareto tail: A mixture-based approach," DEM Working Papers 2020/9, Department of Economics and Management.
  2. Marco Bee & Julien Hambuckers & Luca Trapin, 2019. "An improved approach for estimating large losses in insurance analytics and operational risk using the g-and-h distribution," DEM Working Papers 2019/11, Department of Economics and Management.
  3. Marco Bee & Julien Hambuckers & Luca Trapin, 2018. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," DEM Working Papers 2018/08, Department of Economics and Management.
  4. Marco Bee, 2018. "Estimating the wrapped stable distribution via indirect inference," DEM Working Papers 2018/11, Department of Economics and Management.
  5. Marco Bee & Maria Michela Dickson & Flavio Santi, 2017. "Likelihood-based Risk Estimation for Variance-Gamma Models," DEM Working Papers 2017/03, Department of Economics and Management.
  6. Marco Bee & Massimo Riccaboni & Luca Trapin, 2016. "An extreme value analysis of the last century crises across industries in the U.S. economy," Working Papers 02/2016, IMT School for Advanced Studies Lucca, revised Feb 2016.
  7. Marco Bee & Roberto Benedetti & Giuseppe Espa, 2015. "Approximate likelihood inference for the Bingham distribution," DEM Working Papers 2015/02, Department of Economics and Management.
  8. Marco Bee & Giulio Gatti, 2015. "An improved pairs trading strategy based on switching regime volatility," DEM Discussion Papers 2015/13, Department of Economics and Management.
  9. Marco Bee & Stefano Schiavo, 2015. "Powerless : gains from trade when firm productivity is not Pareto distributed," Documents de Travail de l'OFCE 2015-19, Observatoire Francais des Conjonctures Economiques (OFCE).
  10. Marco Bee & Giuseppe Espa & Diego Giuliani & Flavio Santi, 2015. "A Cross-Entropy approach to the estimation of Generalised Linear Multilevel Models," DEM Working Papers 2015/04, Department of Economics and Management.
  11. Giuseppe Arbia & Marco Bee & Giuseppe Espa & Flavio Santi, 2014. "Fitting Spatial Econometric Models through the Unilateral Approximation," DEM Discussion Papers 2014/08, Department of Economics and Management.
  12. MArco Bee & Massimo Riccaboni & Stefano Schiavo, 2014. "Where Gibrat meets Zipf: Scale and Scope of French Firms," DEM Discussion Papers 2014/03, Department of Economics and Management.
  13. Marco Bee & Diego GIuliani & Giuseppe Espa, 2013. "Approximate Maximum Likelihood Estimation of the Autologistic Model," DEM Discussion Papers 2013/12, Department of Economics and Management.
  14. Marco Bee, 2012. "Statistical analysis of the Lognormal-Pareto distribution using Probability Weighted Moments and Maximum Likelihood," Department of Economics Working Papers 1208, Department of Economics, University of Trento, Italia.
  15. Marco Bee & Massimo Riccaboni & Stefano Schiavo, 2012. "A Trick of the (Pareto) Tail," Department of Economics Working Papers 1206, Department of Economics, University of Trento, Italia.
  16. Marco Bee & Massimo Riccaboni & Stefano Schiavo, 2011. "Pareto versus lognormal: a maximum entropy test," Department of Economics Working Papers 1102, Department of Economics, University of Trento, Italia.
  17. Marco Bee & Fabrizio Miorelli, 2010. "Dynamic VaR models and the Peaks over Threshold method for market risk measurement: an empirical investigation during a financial crisis," Department of Economics Working Papers 1009, Department of Economics, University of Trento, Italia.
  18. Marco Bee, 2010. "Simulating copula-based distributions and estimating tail probabilities by means of Adaptive Importance Sampling," Department of Economics Working Papers 1003, Department of Economics, University of Trento, Italia.
  19. Emanuele Taufer & Nikolai Leonenko & Marco Bee, 2009. "Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models," DISA Working Papers 0907, Department of Computer and Management Sciences, University of Trento, Italy, revised 02 Dec 2009.
  20. Marco Bee & Roberto Benedetti & Giuseppe Espa, 2009. "A note on maximum likelihood estimation of a Pareto mixture," Department of Economics Working Papers 0903, Department of Economics, University of Trento, Italia.
  21. Marco Bee & Giuseppe Espa, 2008. "A Monte Carlo EM Algorithm for the Estimation of a Logistic Auto-logistic Model with Missing Data," Department of Economics Working Papers 0801, Department of Economics, University of Trento, Italia.
  22. Marco Bee, 2007. "The asymptotic loss distribution in a fat-tailed factor model of portfolio credit risk," Department of Economics Working Papers 0701, Department of Economics, University of Trento, Italia.
  23. Marco Bee, 2007. "Importance Sampling for Sums of Lognormal Distributions, with Applications to Operational Risk," Department of Economics Working Papers 0728, Department of Economics, University of Trento, Italia.
  24. Giuseppe Arbia & Marco Bee & Giuseppe Espa, 2007. "Aggregation of regional economic time series with different spatial correlation structures," Department of Economics Working Papers 0720, Department of Economics, University of Trento, Italia.
  25. Marco Bee & Roberto Benedetti & Giuseppe Espa, 2007. "A framework for cut-off sampling in business survey design," Department of Economics Working Papers 0709, Department of Economics, University of Trento, Italia.
  26. Marco Bee & Roberto Benedetti & Giuseppe Espa, 2007. "Spatial models for flood risk assessment," Department of Economics Working Papers 0710, Department of Economics, University of Trento, Italia.
  27. Marco Bee, 2005. "On maximum likelihood estimation of operational loss distributions," Department of Economics Working Papers 0503, Department of Economics, University of Trento, Italia.
  28. Marco Bee & Amedeo Gazzini, 2004. "Testing the Profitability of Simple Technical Trading Rules: A Bootstrap Analysis of the Italian Stock Market," Alea Tech Reports 018, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
  29. Marco Bee, 2002. "Un modello per l'incorporazione del rischio specifico nel VaR," Alea Tech Reports 013, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
  30. Marco Bee & Giuseppe Espa & Roberto Tamborini, 2002. "Firms� bankruptcy and turnover in a macroeconomy," Department of Economics Working Papers 0203, Department of Economics, University of Trento, Italia.
  31. Marco Bee, 2001. "Mixture models for VaR and stress testing," Alea Tech Reports 012, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.

Articles

  1. Flavio Bazzana & Marco Bee & Ahmed Almustfa Hussin Adam Khatir, 2024. "Machine learning techniques for default prediction: an application to small Italian companies," Risk Management, Palgrave Macmillan, vol. 26(1), pages 1-23, February.
  2. Marco Bee, 2024. "On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach," 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(2), pages 251-269, June.
  3. Bee, Marco, 2023. "Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance," Computational Statistics & Data Analysis, Elsevier, vol. 185(C).
  4. Pourkhanali, Armin & Tafakori, Laleh & Bee, Marco, 2023. "Forecasting Value-at-Risk using functional volatility incorporating an exogenous effect," International Review of Financial Analysis, Elsevier, vol. 89(C).
  5. Marco Bee, 2022. "The truncated g-and-h distribution: estimation and application to loss modeling," Computational Statistics, Springer, vol. 37(4), pages 1771-1794, September.
  6. L. Tafakori & M. Bee & A.R. Soltani, 2022. "Some analytical results on bivariate stable distributions with an application in operational risk," Quantitative Finance, Taylor & Francis Journals, vol. 22(7), pages 1355-1369, July.
  7. Ahmed Almustfa Hussin Adam Khatir & Marco Bee, 2022. "Machine Learning Models and Data-Balancing Techniques for Credit Scoring: What Is the Best Combination?," Risks, MDPI, vol. 10(9), pages 1-22, August.
  8. Marco Bee & Julien Hambuckers & Flavio Santi & Luca Trapin, 2021. "Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach," Computational Statistics, Springer, vol. 36(3), pages 2177-2200, September.
  9. M. Bee & J. Hambuckers & L. Trapin, 2021. "Estimating large losses in insurance analytics and operational risk using the g-and-h distribution," Quantitative Finance, Taylor & Francis Journals, vol. 21(7), pages 1207-1221, July.
  10. M. Bee & J. Hambuckers & L. Trapin, 2019. "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1255-1266, August.
  11. M. Bee & L. Trapin, 2018. "A characteristic function-based approach to approximate maximum likelihood estimation," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(13), pages 3138-3160, July.
  12. Marco Bee & Debbie J. Dupuis & Luca Trapin, 2018. "Realized extreme quantile: A joint model for conditional quantiles and measures of volatility with EVT refinements," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 398-415, April.
  13. Giuseppe Arbia & Marco Bee & Giuseppe Espa & Flavio Santi, 2018. "Fitting spatial regressions to large datasets using unilateral approximations," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(1), pages 222-238, January.
  14. Marco Bee & Stefano Schiavo, 2018. "Powerless: gains from trade when firm productivity is not Pareto distributed," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 154(1), pages 15-45, February.
  15. Marco Bee & Maria Michela Dickson & Flavio Santi, 2018. "Likelihood-based risk estimation for variance-gamma models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 69-89, March.
  16. Marco Bee & Luca Trapin, 2018. "Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review," Risks, MDPI, vol. 6(2), pages 1-16, April.
  17. Bee, Marco & Riccaboni, Massimo & Trapin, Luca, 2017. "An extreme value analysis of the last century crises across industries in the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 65-78.
  18. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2017. "Where Gibrat meets Zipf: Scale and scope of French firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 265-275.
  19. Bee, Marco & Benedetti, Roberto & Espa, Giuseppe, 2017. "Approximate maximum likelihood estimation of the Bingham distribution," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 84-96.
  20. Bee, Marco & Dupuis, Debbie J. & Trapin, Luca, 2016. "Realizing the extremes: Estimation of tail-risk measures from a high-frequency perspective," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 86-99.
  21. Marco Bee & Debbie J. Dupuis & Luca Trapin, 2016. "US stock returns: are there seasons of excesses?," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1453-1464, September.
  22. Marco Bee & Maria Michela Dickson & Diego Giuliani & Davide Piacentino & Flavio Santi & Emanuele Taufer, 2016. "La sopravvivenza immediata delle start-up italiane del settore manifatturiero sanitario: un?analisi multilevel," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(3), pages 49-59.
  23. Bee, Marco & Espa, Giuseppe & Giuliani, Diego, 2015. "Approximate maximum likelihood estimation of the autologistic model," Computational Statistics & Data Analysis, Elsevier, vol. 84(C), pages 14-26.
  24. Giuseppe Arbia & Marco Bee & Giuseppe Espa, 2013. "Testing Isotropy in Spatial Econometric Models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 228-240, September.
  25. Bee, Marco & Riccaboni, Massimo & Schiavo, Stefano, 2013. "The size distribution of US cities: Not Pareto, even in the tail," Economics Letters, Elsevier, vol. 120(2), pages 232-237.
  26. Bee, Marco, 2011. "Adaptive Importance Sampling for simulating copula-based distributions," Insurance: Mathematics and Economics, Elsevier, vol. 48(2), pages 237-245, March.
  27. Taufer, Emanuele & Leonenko, Nikolai & Bee, Marco, 2011. "Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 55(8), pages 2525-2539, August.
  28. Marco Bee & Giuseppe Espa, 2008. "A Monte Carlo EM algorithm for the estimation of a logistic auto-logistic model with missing data," Letters in Spatial and Resource Sciences, Springer, vol. 1(1), pages 45-54, July.
  29. Marco Bee, 2005. "Estimating rating transition probabilites with missing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(1), pages 127-141, February.
  30. Marco Bee, 2004. "Modelling credit default swap spreads by means of normal mixtures and copulas," Applied Mathematical Finance, Taylor & Francis Journals, vol. 11(2), pages 125-146.
  31. Marco Bee & Bernard Flury, 2002. "A Problem of Dimensionality in Normal Mixture Analysis," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 29(3), pages 485-500, September.

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 22 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 (19) 2007-05-12 2007-05-19 2007-09-24 2007-12-15 2008-03-08 2009-05-16 2009-12-19 2010-05-15 2011-04-16 2012-09-09 2014-01-17 2015-01-09 2016-01-03 2016-01-03 2017-12-11 2018-12-24 2018-12-24 2019-07-15 2020-11-02. Author is listed
  2. NEP-RMG: Risk Management (6) 2010-05-15 2010-09-11 2012-09-09 2017-12-11 2018-12-24 2019-07-15. Author is listed
  3. NEP-ORE: Operations Research (3) 2008-03-08 2018-12-24 2019-07-15
  4. NEP-CMP: Computational Economics (2) 2007-05-12 2016-01-03
  5. NEP-ETS: Econometric Time Series (2) 2007-09-24 2009-12-19
  6. NEP-GEO: Economic Geography (2) 2007-05-19 2007-09-24
  7. NEP-URE: Urban and Real Estate Economics (2) 2007-09-24 2015-01-09
  8. NEP-AGR: Agricultural Economics (1) 2007-01-14
  9. NEP-BEC: Business Economics (1) 2014-05-24
  10. NEP-COM: Industrial Competition (1) 2014-05-24
  11. NEP-EUR: Microeconomic European Issues (1) 2014-05-24
  12. NEP-FOR: Forecasting (1) 2007-09-24
  13. NEP-HME: Heterodox Microeconomics (1) 2014-05-24
  14. NEP-IAS: Insurance Economics (1) 2019-07-15
  15. NEP-MKT: Marketing (1) 2007-01-14
  16. NEP-SBM: Small Business Management (1) 2014-05-24

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