  ![](https://neoma-bs.fr/sites/default/files/uploaded_images/profs-neoma_0.png)# SBRANA Giacomo

 

 

 
		{
			"@context": "https://schema.org",
			"@type": "BreadcrumbList",
			"itemListElement": [
		        {
            "@type": "ListItem",
            "position": 1,
            "name": "Accueil",
            "item": "https://neoma-bs.fr/"
        },		        {
            "@type": "ListItem",
            "position": 2,
            "name": "SBRANA\u0020Giacomo",
            "item": "https://neoma-bs.fr/node/8099.md"
        }				]
	}
	 - [Accueil](https://neoma-bs.fr/)
- SBRANA Giacomo
 
  

 

    ![](/sites/default/files/styles/large/public/uploaded_images/photos_academ/22-sbrana-giacomo.jpg?itok=9fTgk9aM)SBRANA Giacomo

 Professeur

  

 <giacomo.sbrana@neoma-bs.fr> 

 

 

 

 - À propos
 - Publications académiques
 
  

 

    [Système d'Information, Supply Chain Management &amp; aide à la Décision](https://neoma-bs.fr/departements/systeme-dinformation-supply-chain-management-aide-la-decision) 

    Post-Doctorat en Econométrie 

 

Giacomo SBRANA est Professeur à NEOMA Business School depuis 2019. Il a rejoint l'école en tant que professeur assistant en août 2011 et est devenu professeur associé en 2014. Avant de rejoindre NEOMA, de 2005 à 2009, il a travaillé comme expert associé au Département économique et social Affaires des Nations Unies à New York (USA).

Giacomo est titulaire d'un M.Sc. en économie et économétrie de l'Université de Southampton (obtenu en 2003), un doctorat en statistique de l'Université de Rome TRE (obtenu en 2004) et un postdoc au BETA, Université de Strasbourg (de 2009 à 2011).

Il enseigne plusieurs cours de statistiques et méthodes quantitatives aussi avec l’utilisation de Python et R au niveau undergraduate (programme PGE) et postgraduate (MSc et doctorat).

Ses principaux intérêts de recherche comprennent l'analyse et la prévision de séries temporelles, en particulier à l'aide de modèles state-space et du filtre de Kalman. Il a publié dans plusieurs revues académiques telles que: International Journal of Production Economics, Journal of Banking &amp; Finance, International Journal of Forecasting, Macroeconomic Dynamics, Cliometrica, Journal of the Operational Research Society, Economic Modeling, Journal of Time Series Analysis, Journal of Prévisions, Journal of *Multivariate Analysis, Bulletin of Economic Research*

 

 ###  Domaines de recherche 



- Analyse et prévisions des séries temporelles
- modèles État-espace, filtre Kalman
 
  

 

##   Récentes contributions académiques  

 SBRANA, G., M.-Z. BABAI, "Non-negative autoregressive moving average models for intermittent demand: Forecast accuracy and inventory implications", *European Journal of Operational Research*, Juin 2026  DOI : [ 10.1016/j.ejor.2026.06.009 ](https://dx.doi.org/10.1016/j.ejor.2026.06.009)

  

 

 SBRANA, G., H. YU, "Forecasting retail fuel demand in Chinese gasoline stations: a structural (double) damped trend approach", *Journal of the Operational Research Society*, Janvier 2025, vol. 76, no. 1, pp. 155-166  DOI : [ 10.1080/01605682.2024.2333321 ](https://dx.doi.org/10.1080/01605682.2024.2333321)

  

 

 SBRANA, G., A. SILVESTRINI, "The structural Theta method and its predictive performance in the M4-Competition", *International Journal of Forecasting*, Juillet - Septembre 2025, vol. 41, no. 3, pp. 940-952  DOI : [ 10.1016/j.ijforecast.2024.08.003 ](https://dx.doi.org/10.1016/j.ijforecast.2024.08.003)

  

 

 

 

 

##   Publications  

 SBRANA, G., M.-Z. BABAI, "Non-negative autoregressive moving average models for intermittent demand: Forecast accuracy and inventory implications", *European Journal of Operational Research*, Juin 2026  DOI : [ 10.1016/j.ejor.2026.06.009 ](https://dx.doi.org/10.1016/j.ejor.2026.06.009)

  

 

 SBRANA, G., H. YU, "Forecasting retail fuel demand in Chinese gasoline stations: a structural (double) damped trend approach", *Journal of the Operational Research Society*, Janvier 2025, vol. 76, no. 1, pp. 155-166  DOI : [ 10.1080/01605682.2024.2333321 ](https://dx.doi.org/10.1080/01605682.2024.2333321)

  

 

 SBRANA, G., A. SILVESTRINI, "The structural Theta method and its predictive performance in the M4-Competition", *International Journal of Forecasting*, Juillet - Septembre 2025, vol. 41, no. 3, pp. 940-952  DOI : [ 10.1016/j.ijforecast.2024.08.003 ](https://dx.doi.org/10.1016/j.ijforecast.2024.08.003)

  

 

 SBRANA, G., "Markov Walk and Walmart sales prediction", *Journal of the Operational Research Society*, Septembre 2025  DOI : [ 10.1080/01605682.2025.2569661 ](https://dx.doi.org/10.1080/01605682.2025.2569661)

  

 

 SBRANA, G., M. PELAGATTI, "Optimal hierarchical EWMA forecasting ", *International Journal of Forecasting*, Avril 2024, vol. 40, no. 2, pp. 616-625  DOI : [ 10.1016/j.ijforecast.2022.12.008 ](https://dx.doi.org/10.1016/j.ijforecast.2022.12.008)

  

 

 PELAGATTI, M., G. SBRANA, "Estimating correlations among elliptically distributed random variables under any form of heteroskedasticity", *Quantitative Finance*, Mars 2024, vol. 24, no. 3-4, pp. 451-464  DOI : [ 10.1080/14697688.2023.2278502 ](https://dx.doi.org/10.1080/14697688.2023.2278502)

  

 

 SBRANA, G., "Modelling intermittent time series and forecasting COVID-19 spread in the USA", *Journal of the Operational Research Society*, Février 2023, vol. 74, no. 2, pp. 465-475  DOI : [ 10.1080/01605682.2022.2055499 ](https://dx.doi.org/10.1080/01605682.2022.2055499)

  

 

 SBRANA, G., A. SILVESTRINI, "The RWDAR model: A novel state-space approach to forecasting", *International Journal of Forecasting*, Avril 2023, vol. 39, no. 2, pp. 922-937  DOI : [ 10.1016/j.ijforecast.2022.03.003 ](https://dx.doi.org/10.1016/j.ijforecast.2022.03.003)

  

 

 SBRANA, G., P. ANTONETTI, "Persistence modeling for sales prediction: A simple, self-contained approach", *Journal of Business Research*, Novembre 2023, vol. 166, no. 114103  DOI : [ 10.1016/j.jbusres.2023.114103 ](https://dx.doi.org/10.1016/j.jbusres.2023.114103)

  

 

 SBRANA, G., A. SILVESTRINI, "Random coefficient state-space model: Estimation and performance in M3–M4 competitions", *International Journal of Forecasting*, Janvier 2022, vol. 38, no. 1, pp. 352-366  DOI : [ 10.1016/j.ijforecast.2021.06.003 ](https://dx.doi.org/10.1016/j.ijforecast.2021.06.003)

  

 

 SBRANA, G., "High-dimensional Holt-Winters trend model: Fast estimation and prediction", *Journal of the Operational Research Society*, Mars 2021, vol. 72, no. 3, pp. 701-713  DOI : [ 10.1080/01605682.2019.1700183 ](https://dx.doi.org/10.1080/01605682.2019.1700183)

  

 

 SBRANA, G., A.SILVESTRINI, "Forecasting with the damped trend model using the structural approach", *International Journal of Production Economics*, Août 2020, vol. 226, pp. 107654  DOI : [ 10.1016/j.ijpe.2020.107654 ](https://dx.doi.org/10.1016/j.ijpe.2020.107654)

  

 

 POLONI, F., G.SBRANA, "Closed-form results for vector moving average models with a univariate estimation approach", *Econometrics and Statistics*, Avril 2019, no. 10, pp. 27-52  DOI : [ 10.1016/j.ecosta.2018.06.003 ](https://dx.doi.org/10.1016/j.ecosta.2018.06.003)

  

 

 SBRANA, G., A.SILVESTRINI, "Random switching exponential smoothing : a new estimation approach", *International Journal of Production Economics*, Mai 2019, vol. 211, pp. 211-220  DOI : [ 10.1016/j.ijpe.2019.01.038 ](https://dx.doi.org/10.1016/j.ijpe.2019.01.038)

  

 

 SBRANA, G., C. MORANA, "Climate change implications for the catastrophe bonds market: An empirical analysis", *Economic Modelling*, Mai 2019, vol. 81, pp. 274-294  DOI : [ 10.1016/j.econmod.2019.04.020 ](https://dx.doi.org/10.1016/j.econmod.2019.04.020)

  

 

 POLONI, F., G.SBRANA, "Multivariate trend-cycle extraction with the Hodrick-Prescott filter", *Macroeconomic Dynamics*, Septembre 2017, vol. 21, no. 6, pp. 1336-1360  DOI : [ http://dx.doi.org/10.1017/S1365100515000887 ](https://dx.doi.org/http://dx.doi.org/10.1017/S1365100515000887)

  

 

 SBRANA, G., A.SILVESTRINI, F.VENDITTI, "Short-term inflation forecasting: The M.E.T.A. approach", *International Journal of Forecasting*, Octobre 2017, vol. 4, no. 33, pp. 1065–1081  DOI : [ 10.1016/j.ijforecast.2017.06.007 ](https://dx.doi.org/10.1016/j.ijforecast.2017.06.007)

  

 

 POLONI, F., G.SBRANA, "A note on forecasting demand using the multivariate exponential smoothing framework", *International Journal of Production Economics*, Avril 2015, vol. 162, pp. 143-150  DOI : [ 10.1016/j.ijpe.2015.01.017 ](https://dx.doi.org/10.1016/j.ijpe.2015.01.017)

  

 

 POLONI , F., G.SBRANA, "Feasible generalized least squares estimation of multivariate GARCH (1,1) models", *Journal of Multivariate Analysis*, Août 2014, vol. 129, pp. 151–159  DOI : [ 10.1016/j.jmva.2014.04.015 ](https://dx.doi.org/10.1016/j.jmva.2014.04.015)

  

 

 SBRANA, G., A.SILVESTRINI, "Random switching exponential smoothing and inventory forecasting", *International Journal of Production Economics*, Octobre 2014, vol. 156, pp. 283–294  DOI : [ 10.1016/j.ijpe.2014.06.016 ](https://dx.doi.org/10.1016/j.ijpe.2014.06.016)

  

 

 GRIGOLI, F., G.SBRANA, "Determinants and Dynamics of Schooling and Child Labor in Bolivia", *Bulletin of Economic Research*, Mai 2013, vol. 65, no. Supplément s1, pp. s17-s37  DOI : [ 10.1111/j.1467-8586.2012.00462.x ](https://dx.doi.org/10.1111/j.1467-8586.2012.00462.x)

  

 

 SBRANA, G., A.SILVESTRINI, "Aggregation of exponential smoothing processes with an application to portfolio risk evaluation", *Journal of Banking and Finance*, Mai 2013, vol. 37, no. 5, pp. 1437-1450  DOI : [ 10.1016/j.jbankfin.2012.06.015 ](https://dx.doi.org/10.1016/j.jbankfin.2012.06.015)

  

 

 SBRANA, G., F.POLONI, "A closed-form estimator for the multivariate GARCH (1,1) model", *Journal of Multivariate Analysis*, Septembre 2013, vol. 120, pp. 152-162  DOI : [ 10.1016/j.jmva.2013.05.005 ](https://dx.doi.org/10.1016/j.jmva.2013.05.005)

  

 

 SBRANA, G., A.SILVESTRINI, "Forecasting aggregate demand: Analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework", *International Journal of Production Economics*, Novembre 2013, vol. 146, no. 1, pp. 185-198  DOI : [ 10.1016/j.ijpe.2013.06.022 ](https://dx.doi.org/10.1016/j.ijpe.2013.06.022)

  

 

 SBRANA, G., A.SILVESTRINI, "Temporal aggregation of cyclical models with business cycle applications", *Statistical Methods and Applications*, Juin 2012, vol. 21, no. 1, pp. 93-107  DOI : [ 10.1007/s10260-011-0181-0. ](https://dx.doi.org/10.1007/s10260-011-0181-0.)

  

 

 SBRANA, G., "The exact linkage between the Beveridge-Nelson decomposition and other permanent-transitory decompositions", *Economic Modelling*, Septembre 2012, vol. 30, pp. 311-316  DOI : [ 10.1016/j.econmod.2012.09.039 ](https://dx.doi.org/10.1016/j.econmod.2012.09.039)

  

 

 SBRANA, G., "Forecasting aggregated moving average processes with an application to the Euro-area real interest rate", *Journal of Forecasting*, Janvier 2012, vol. 31, no. 1, pp. 85-98 

 SBRANA, G., A.SILVESTRINI, "Comparing aggregate and disaggregate forecasts of first order moving average models", *Statistical Papers*, Mai 2012, vol. 53, no. 2, pp. 255-263 

 SBRANA, G., "Damped trend exponential smoothing: prediction and control", *Journal of Quantitative Economics*, Juillet 2012, vol. 10, no. 2, pp. 152-159 

 SBRANA, G., "Aggregation and marginalization of GARCH processes: some further results", *Metron : International journal of Statistics*, Mars 2012, vol. 70, no. 2-3, pp. 165-172 

 SBRANA, G., "Structural time series models and aggregation: some analytical results", *Journal of Time Series Analysis*, Mai 2011, vol. 32, no. 3, pp. 315-316  DOI : [ 10.1111/j.1467-9892.2010.00701 ](https://dx.doi.org/10.1111/j.1467-9892.2010.00701)

  

 

 SBRANA, G., A.SILVESTRINI, "Measuring core inflation in Italy comparing aggregate vs. disaggregate price data", *Cliometrica*, Août 2011, vol. 5, no. 3, pp. 239-258 

 SBRANA, G., "On the use of area-wide models in the Euro-zone: the money demand case", *Statistical Methods and Applications*, Novembre 2008, vol. 17, no. 4, pp. 499-518 

 SBRANA, G., "Testing for model selection in predicting aggregate variables", *Giornale degli Economisti e Annali di Economia*, Mars 2007, vol. 66, no. 1, pp. 3-27 

 SBRANA, G., "Una generalizzazione del metodo L.O.D.E. per la stima dei parametri strutturali di un sistema di equazioni simultanee", *Quaderni di Statistica*, Janvier 2001, vol. 3, pp. 107-125 

 

 

 

##   Chapitres  

 SBRANA, G., A.SILVESTRINI, "Marginalization and aggregation of exponential smoothing models in forecasting portfolio volatility" dans *Mathematical and Statistical Methods for Actuarial Science and Finance*., Ed., Springer Verlag, pp. 375-382, 2011 

 

 

 

##   Séminaires de recherche  

 SBRANA, G., "Portfolio risk evaluation: univariate and multivariate approaches" *Brown Bag Seminar - Pôle Finance Responsable - Rouen Business School*. 2012, Rouen, France 

 SBRANA, G., "Portfolio risk evaluation: A simple (but rigorous) alternative to "Riskmetrics"" *Brown Bag Seminar - Pôle Finance Responsable - Rouen Business School*. 2012, Rouen, France 

 SBRANA, G., "Closed form results for Multivariate volatility models" *Brown Bag Seminar - Pôle Finance Responsable - Rouen Business School*. 2012, Rouen, France