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Luca De Angelis

This is information that was supplied by Luca De Angelis in registering through RePEc. If you are Luca De Angelis , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Luca
Middle Name:
Last Name:De Angelis
Suffix:
RePEc Short-ID:pde542
Bologna, Italy
http://www.stat.unibo.it/

: +39 0 51 209.82.01
+39 0 51 23.21.53
Via Belle Arti, 41 - Bologna
RePEc:edi:dsbolit (more details at EDIRC)
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  1. Giuseppe Cavaliere & Luca De Angelis & Anders Rahbek & A.M.Robert Taylor, 2013. "A comparison of sequential and information-based methods for determining the co-integration rank in heteroskedastic VAR models," Quaderni di Dipartimento 4, Department of Statistics, University of Bologna.
  2. Michele Costa & Luca De angelis, 2010. "Model selection in hidden Markov models : a simulation study," Quaderni di Dipartimento 7, Department of Statistics, University of Bologna.
  3. De Angelis, L & Paas, L.J., 2009. "The dynamic analysis and prediction of stock markets through the latent Markov model," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  1. Giuseppe Cavaliere & Luca De Angelis & Anders Rahbek & A. M. Robert Taylor, 2015. "A Comparison of Sequential and Information-based Methods for Determining the Co-integration Rank in Heteroskedastic VAR Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 106-128, 02.
  2. Luca De Angelis & Attilio Gardini, 2015. "Disequilibria and contagion in financial markets: Evidence from a new test," Journal of Applied Economics, Universidad del CEMA, vol. 18, pages 247-266, November.
  3. De Angelis, Luca & Dias, José G., 2014. "Mining categorical sequences from data using a hybrid clustering method," European Journal of Operational Research, Elsevier, vol. 234(3), pages 720-730.
  4. Luca De Angelis & Leonard J. Paas, 2013. "A dynamic analysis of stock markets using a hidden Markov model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1682-1700, August.
  5. Luca De Angelis, 2013. "Latent class models for financial data analysis: some statistical developments," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 227-242, June.
  6. Attilio Gardini & Luca De Angelis, 2012. "A statistical procedure for testing financial contagion," Statistica, Department of Statistics, University of Bologna, vol. 72(1), pages 37-61.
  7. Michele Costa & Luca De Angelis, 2008. "The Multidimensional Measurement Of Poverty: A Fuzzy Set Approach," Statistica, Department of Statistics, University of Bologna, vol. 68(3), pages 303-319.
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-FOR: Forecasting (1) 2009-11-21. Author is listed

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