Valentina Aprigliano

Personal Details

First Name:	Valentina
Middle Name:
Last Name:	Aprigliano
Suffix:
RePEc Short-ID:	pap62
	[This author has chosen not to make the email address public]

Affiliation

Banca d'Italia

Roma, Italy
http://www.bancaditalia.it/
RePEc:edi:bdigvit (more details at EDIRC)

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. Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021. "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers) 1321, Bank of Italy, Economic Research and International Relations Area.
   • Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.

   Cited by:

   1. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
   2. Jonathan Huntley & Valentina Michelangeli & Felix Reichling, 2021. "What drives investors to chase returns?," Temi di discussione (Economic working papers) 1334, Bank of Italy, Economic Research and International Relations Area.
   3. Lorenzo Bencivelli & Beniamino Pisicoli, 2021. "Foreign investors and target firms’ financial structure: cavalry or locusts?," Temi di discussione (Economic working papers) 1327, Bank of Italy, Economic Research and International Relations Area.
   4. Claudia Maurini & Alessandro Schiavone, 2021. "The catalytic role of IMF programs," Temi di discussione (Economic working papers) 1331, Bank of Italy, Economic Research and International Relations Area.
   5. Valentina Michelangeli & Eliana Viviano, 2021. "Can internet banking affect households' participation in financial markets and financial awareness?," Temi di discussione (Economic working papers) 1329, Bank of Italy, Economic Research and International Relations Area.
   6. Audinga Baltrunaite & Mario Cannella & Sauro Mocetti & Giacomo Roma, "undated". "Board composition and performance of state-owned enterprises: Quasi-experimental evidence," Temi di discussione (Economic working papers) 1328, Bank of Italy, Economic Research and International Relations Area.
      • Baltrunaite, Audinga & Cannella, Mario & Mocetti, Sauro & Roma, Giacomo, 2021. "Board composition and performance of state-owned enterprises: Quasi-experimental evidence," CEPR Discussion Papers 16056, C.E.P.R. Discussion Papers.
   7. Gerardin Mathilde, & Ranvier Martial., 2021. "Enrichment of the Banque de France’s monthly business survey: lessons from textual analysis of business leaders’ comments," Working papers 821, Banque de France.
   8. De Bandt Olivier & Bricongne Jean-Charles & Denes Julien & Dhenin Alexandre & De Gaye Annabelle & Robert Pierre-Antoine, 2023. "Using the Press to Construct a New Indicator of Inflation Perceptions in France," Working papers 921, Banque de France.
   9. Claudia Pacella, 2021. "Dating the euro area business cycle: an evaluation," Temi di discussione (Economic working papers) 1332, Bank of Italy, Economic Research and International Relations Area.
   10. Valentina Aprigliano & Guerino Ardizzi & Alessia Cassetta & Alessandro Cavallero & Simone Emiliozzi & Alessandro Gambini & Nazzareno Renzi & Roberta Zizza, 2021. "Exploiting payments to track Italian economic activity: the experience at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers) 609, Bank of Italy, Economic Research and International Relations Area.

2. Valentina Aprigliano & Danilo Liberati, 2019. "Using credit variables to date business cycle and to estimate the probabilities of recession in real time," Temi di discussione (Economic working papers) 1229, Bank of Italy, Economic Research and International Relations Area.
   • Valentina Aprigliano & Danilo Liberati, 2021. "Using Credit Variables to Date Business Cycle and to Estimate the Probabilities of Recession in Real Time," Manchester School, University of Manchester, vol. 89(S1), pages 76-96, September.

   Cited by:

   1. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
      • Donato Ceci & Andrea Silvestrini, 2022. "Nowcasting the state of the Italian economy: the role of financial markets," Temi di discussione (Economic working papers) 1362, Bank of Italy, Economic Research and International Relations Area.

3. Valentina Aprigliano & Guerino Ardizzi & Libero Monteforte, 2017. "Using the payment system data to forecast the Italian GDP," Temi di discussione (Economic working papers) 1098, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Guerino Ardizzi & Andrea Nobili & Giorgia Rocco, 2020. "A game changer in payment habits: evidence from daily data during a pandemic," Questioni di Economia e Finanza (Occasional Papers) 591, Bank of Italy, Economic Research and International Relations Area.
   2. Natalia Turdyeva & Anna Tsvetkova & Levon Movsesyan & Alexey Porshakov & Dmitriy Chernyadyev, 2021. "Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity," Russian Journal of Money and Finance, Bank of Russia, vol. 80(2), pages 28-49, June.
   3. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
   4. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
      • María Gil & Javier J. Pérez & A. Jesús Sánchez & Alberto Urtasun, 2018. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," Working Papers 1842, Banco de España.
   5. Tut, Daniel, 2023. "FinTech and the COVID-19 pandemic: Evidence from electronic payment systems," Emerging Markets Review, Elsevier, vol. 54(C).
      • Tut, Daniel, 2020. "FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems," MPRA Paper 102401, University Library of Munich, Germany.
   6. Diego Bodas & Juan R. García López & Tomasa Rodrigo López & Pep Ruiz de Aguirre & Camilo A. Ulloa & Juan Murillo Arias & Juan de Dios Romero Palop & Heribert Valero Lapaz & Matías J. Pacce, 2019. "Measuring retail trade using card transactional data," Working Papers 1921, Banco de España.
   7. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
   8. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
   9. Guerino Ardizzi & Elisa Bonifacio & Cristina Demma & Laura Painelli, 2020. "Regional Differences in Retail Payment Habits in Italy," Questioni di Economia e Finanza (Occasional Papers) 576, Bank of Italy, Economic Research and International Relations Area.

4. Valentina Aprigliano & Lorenzo Bencivelli, 2013. "Ita-coin: a new coincident indicator for the Italian economy," Temi di discussione (Economic working papers) 935, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Piergiorgio Alessandri & Leonardo Del Vecchio & Arianna Miglietta, 2019. "Financial Conditions and 'Growth at Risk' in Italy," Temi di discussione (Economic working papers) 1242, Bank of Italy, Economic Research and International Relations Area.
   2. Rueben Ellul, 2016. "A real-time measure of business conditions in Malta," CBM Working Papers WP/04/2016, Central Bank of Malta.
      • Ellul, Reuben, 2016. "A real-time measure of business conditions in Malta," MPRA Paper 75057, University Library of Munich, Germany.
   3. Giuseppe Ferrero & Andrea Nobili & Gabriele Sene, 2019. "Credit risk-taking and maturity mismatch: the role of the yield curve," Temi di discussione (Economic working papers) 1220, Bank of Italy, Economic Research and International Relations Area.
   4. Corona Francisco & López-Pérez Jesús & González-Farías Graciela, 2022. "Timely Estimates of the Monthly Mexican Economic Activity," Journal of Official Statistics, Sciendo, vol. 38(3), pages 733-765, September.
   5. Francisco Corona & Graciela Gonz'alez-Far'ias & Jes'us L'opez-P'erez, 2021. "A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19," Papers 2101.10383, arXiv.org.

5. Valentina Aprigliano, 2011. "The relationship between the PMI and the Italian index of industrial production and the impact of the latest economic crisis," Temi di discussione (Economic working papers) 820, Bank of Italy, Economic Research and International Relations Area.

   Cited by:

   1. Daniel Francois Meyer & Thomas Habanabakize, 2018. "Analysis of Relationships and Causality between Consumer Price Index (CPI), the Producer Price Index (PPI) and Purchasing Manager’s Index (PMI) in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 25-32.
   2. Antonio M. Conti & Concetta Rondinelli, 2015. "Easier said than done: the divergence between soft and hard data," Questioni di Economia e Finanza (Occasional Papers) 258, Bank of Italy, Economic Research and International Relations Area.
   3. Claire Giordano, 2020. "Goods exports and soft export indicators: is a disconnect under way?," Questioni di Economia e Finanza (Occasional Papers) 553, Bank of Italy, Economic Research and International Relations Area.
   4. G. Bruno & L. Crosilla & P. Margani, 2019. "Inspecting the Relationship Between Business Confidence and Industrial Production: Evidence on Italian Survey Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 1-24, April.

Articles

1. Valentina Aprigliano & Danilo Liberati, 2021. "Using Credit Variables to Date Business Cycle and to Estimate the Probabilities of Recession in Real Time," Manchester School, University of Manchester, vol. 89(S1), pages 76-96, September.
   • Valentina Aprigliano & Danilo Liberati, 2019. "Using credit variables to date business cycle and to estimate the probabilities of recession in real time," Temi di discussione (Economic working papers) 1229, Bank of Italy, Economic Research and International Relations Area.
   See citations under working paper version above.
2. Valentina Aprigliano, 2020. "A large Bayesian VAR with a block‐specific shrinkage: A forecasting application for Italian industrial production," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1291-1304, December.

   Cited by:

   1. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
   2. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.

3. Valentina Aprigliano & Guerino Ardizzi & Libero Monteforte, 2019. "Using Payment System Data to Forecast Economic Activity," International Journal of Central Banking, International Journal of Central Banking, vol. 15(4), pages 55-80, October.

   Cited by:

   1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
      • Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021. "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Reprints LFIN 2021010, Université catholique de Louvain, Louvain Finance (LFIN).
      • Andrii Babii & Eric Ghysels & Jonas Striaukas, 2020. "Machine Learning Time Series Regressions with an Application to Nowcasting," Papers 2005.14057, arXiv.org, revised Dec 2020.
      • Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021. "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Discussion Papers LFIN 2021004, Université catholique de Louvain, Louvain Finance (LFIN).
   2. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
   3. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
   4. Mihnea Constantinescu, 2023. "Sparse Warcasting," Working Papers 01/2023, National Bank of Ukraine.
   5. Guerino Ardizzi & Andrea Nobili & Giorgia Rocco, 2020. "A game changer in payment habits: evidence from daily data during a pandemic," Questioni di Economia e Finanza (Occasional Papers) 591, Bank of Italy, Economic Research and International Relations Area.
   6. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
   7. Luca Baldo & Elisa Bonifacio & Marco Brandi & Michelina Lo Russo & Gianluca Maddaloni & Andrea Nobili & Giorgia Rocco & Gabriele Sene & Massimo Valentini, 2021. "Inside the black box: tools for understanding cash circulation," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 7, Bank of Italy, Directorate General for Markets and Payment System.
   8. Andry Alamsyah & Dian Puteri Ramadhani & Farida Titik Kristanti & Khairunnisa Khairunnisa, 2022. "Transaction Network Structural Shift under Crisis: Macro and Micro Perspectives," Economies, MDPI, vol. 10(3), pages 1-12, February.
   9. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
   10. Prol, Javier López & O, Sungmin, 2020. "Impact of COVID-19 Measures on Short-Term Electricity Consumption in the Most Affected EU Countries and USA States," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(10).
   11. Tatjana Dahlhaus & Angelika Welte, 2021. "Payment Habits During COVID-19: Evidence from High-Frequency Transaction Data," Staff Working Papers 21-43, Bank of Canada.
   12. Marta Crispino & Vincenzo Mariani, 2023. "A tool to nowcast tourist overnight stays with payment data and complementary indicators," Questioni di Economia e Finanza (Occasional Papers) 746, Bank of Italy, Economic Research and International Relations Area.
   13. Claudia Biancotti & Alfonso Rosolia & Giovanni Veronese & Robert Kirchner & Francois Mouriaux, 2021. "Covid-19 and official statistics: a wakeup call?," Questioni di Economia e Finanza (Occasional Papers) 605, Bank of Italy, Economic Research and International Relations Area.
   14. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
   15. Guillermo Carlomagno & Nicolas Eterovic & L. G. Hernández-Román, 2023. "Disentangling Demand and Supply Inflation Shocks from Chilean Electronic Payment Data," Working Papers Central Bank of Chile 986, Central Bank of Chile.
   16. Aleksey Ponomarenko & Svetlana Popova & Andrey Sinyakov & Natalia Turdyeva & Dmitry Chernyadyev, 2020. "Assessing the Consequences of the Pandemic for the Russian Economy Through an Input-Output Model," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 3-17, December.
   17. Tut, Daniel, 2023. "FinTech and the COVID-19 pandemic: Evidence from electronic payment systems," Emerging Markets Review, Elsevier, vol. 54(C).
       • Tut, Daniel, 2020. "FinTech and the COVID-19 Pandemic: Evidence from Electronic Payment Systems," MPRA Paper 102401, University Library of Munich, Germany.
   18. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).
   19. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
   20. Ilkin Huseynov & Nazrin Ramazanova & Hikmat Valirzayev, 2022. "Using National Payment System Data to Nowcast Economic Activity in Azerbaijan," IHEID Working Papers 23-2022, Economics Section, The Graduate Institute of International Studies.
   21. López Prol, Javier & O, Sungmin, 2020. "Impact of COVID-19 measures on electricity consumption," MPRA Paper 101649, University Library of Munich, Germany.
   22. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).
   23. James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.
   24. Simone Emiliozzi & Concetta Rondinelli & Stefania Villa, 2023. "Consumption during the Covid-19 pandemic: evidence from Italian credit cards," Questioni di Economia e Finanza (Occasional Papers) 769, Bank of Italy, Economic Research and International Relations Area.
   25. Bogner Alexandra & Jerger Jürgen, 2023. "Big data in monetary policy analysis—a critical assessment," Economics and Business Review, Sciendo, vol. 9(2), pages 27-40, April.
   26. Satoshi Urasawa, 2023. "The Usefulness of High-Frequency Alternative Data to Obtain Nowcasts for Japan’s GDP: Evidence from Credit Card Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 191-211, September.
   27. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
   28. Gerhard Fenz & Helmut Stix, 2021. "Monitoring the economy in real time with the weekly OeNB GDP indicator: background, experience and outlook," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20-Q1/, pages 17-40.
   29. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
   30. Laura Felber & Dr. Simon Beyeler, 2023. "Nowcasting economic activity using transaction payments data," Working Papers 2023-01, Swiss National Bank.
   31. Valentina Aprigliano & Guerino Ardizzi & Alessia Cassetta & Alessandro Cavallero & Simone Emiliozzi & Alessandro Gambini & Nazzareno Renzi & Roberta Zizza, 2021. "Exploiting payments to track Italian economic activity: the experience at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers) 609, Bank of Italy, Economic Research and International Relations Area.
   32. Guerino Ardizzi & Elisa Bonifacio & Cristina Demma & Laura Painelli, 2020. "Regional Differences in Retail Payment Habits in Italy," Questioni di Economia e Finanza (Occasional Papers) 576, Bank of Italy, Economic Research and International Relations Area.
   33. Kohei Matsumura & Yusuke Oh & Tomohiro Sugo & Koji Takahashi, "undated". "Nowcasting Economic Activity with Mobility Data," Bank of Japan Working Paper Series 21-E-2, Bank of Japan.
   34. António Rua & Nuno Lourenço, 2020. "The DEI: tracking economic activity daily during the lockdown," Working Papers w202013, Banco de Portugal, Economics and Research Department.

4. Valentina Aprigliano & Claudia Foroni & Massimiliano Marcellino & Gianluigi Mazzi & Fabrizio Venditti, 2017. "A daily indicator of economic growth for the euro area," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 43-63.

   Cited by:

   1. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
      • Fantazzini, Dean & Pushchelenko, Julia & Mironenkov, Alexey & Kurbatskii, Alexey, 2021. "Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg," MPRA Paper 110452, University Library of Munich, Germany.
   2. Tommaso Proietti & Alessandro Giovannelli, 2021. "Nowcasting monthly GDP with big data: A model averaging approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 683-706, April.
      • Tommaso Proietti & Alessandro Giovannelli, 2020. "Nowcasting Monthly GDP with Big Data: a Model Averaging Approach," CEIS Research Paper 482, Tor Vergata University, CEIS, revised 12 May 2020.
   3. Stefan Neuwirth, 2017. "Time-varying mixed frequency forecasting: A real-time experiment," KOF Working papers 17-430, KOF Swiss Economic Institute, ETH Zurich.

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 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-MAC: Macroeconomics (6) 2013-11-29 2016-10-30 2017-03-05 2019-11-25 2021-03-29 2021-03-29. Author is listed
2. NEP-EEC: European Economics (4) 2013-11-29 2017-03-05 2019-11-25 2021-03-29
3. NEP-BIG: Big Data (2) 2021-03-29 2021-03-29
4. NEP-FOR: Forecasting (2) 2017-03-05 2021-03-29
5. NEP-PAY: Payment Systems and Financial Technology (2) 2017-03-05 2021-03-29
6. NEP-BAN: Banking (1) 2019-11-25
7. NEP-BEC: Business Economics (1) 2011-12-19
8. NEP-CMP: Computational Economics (1) 2021-03-29
9. NEP-FDG: Financial Development and Growth (1) 2019-11-25
10. NEP-MON: Monetary Economics (1) 2021-03-29
11. NEP-RMG: Risk Management (1) 2021-03-29

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