J. Daniel Aromi

Personal Details

First Name:	J. Daniel
Middle Name:
Last Name:	Aromi
Suffix:
RePEc Short-ID:	par541
	[This author has chosen not to make the email address public]

Affiliation

(50%) Facultad de Ciencias Económicas
Pontificia Universidad Católica Argentina

Buenos Aires, Argentina
http://www.uca.edu.ar/uca/index.php/home/index/es/universidad/facultades/buenos-aires/sociales-economicas
RePEc:edi:depucar (more details at EDIRC)

(50%) Instituto Interdisciplinario de Economía Política de Buenos Aires (IIEP) UBA-CONICET
Facultad de Ciencias Económicas
Universidad de Buenos Aires

Buenos Aires, Argentina
http://iiep-baires.econ.uba.ar/
RePEc:edi:ieeubar (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. Aromi, Daniel & Bonel, María Paula & Cristia, Julian P. & Llada, Martín & Palomino, Luis, 2021. "Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities," IDB Publications (Working Papers) 11312, Inter-American Development Bank.

   Cited by:

   1. Carbó-Valverde, Santiago & Cuadros-Solas, Pedro J. & Rodríguez-Fernández, Francisco & Sánchez-Béjar, José Juan, 2023. "Mobility restrictions and payment choices: The case of the Covid-19 pandemic," Journal of Behavioral and Experimental Finance, Elsevier, vol. 40(C).

2. J. Daniel Aromí & Martín Llada, 2020. "Forecasting inflation with twitter," Asociación Argentina de Economía Política: Working Papers 4308, Asociación Argentina de Economía Política.

   Cited by:

   1. J. Daniel Aromí & Martín Llada, 2024. "Are professional forecasters inattentive to public discussions? The case of inflation in Argentina," Working Papers 300, Red Nacional de Investigadores en Economía (RedNIE).
   2. Petrova, Diana, 2022. "Assessment of inflation expectations based on internet data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 25-38.

3. Marcelo Dabos & Daniel Aromi, 2001. "Measuring the Level of Competition in the Argentine Banking Industry," Working Papers 34, Universidad de San Andres, Departamento de Economia, revised May 2001.

   Cited by:

   1. Roberto Cortes Conde, 2008. "Spanish America Colonial Patterns: The Rio de La Plata," Working Papers 96, Universidad de San Andres, Departamento de Economia, revised Mar 2008.

Articles

1. José Daniel Aromí, 2021. "Large Current Account Deficits and Neglected Vulnerabilities," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 69(4), pages 597-623, December.

   Cited by:

   1. Erhan Oruç, 2024. "Sustainability of the Current Account in Developing Countries: A Fourier Wavelet-Based Unit Root Test," Sustainability, MDPI, vol. 16(17), pages 1-14, August.

2. Aromi, J. Daniel, 2020. "Linking words in economic discourse: Implications for macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1517-1530.

   Cited by:

   1. Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.
   2. Dooruj Rambaccussing & Craig Menzies & Andrzej Kwiatkowski, 2022. "Look who’s Talking: Individual Committee members’ impact on inflation expectations," Dundee Discussion Papers in Economics 305, Economic Studies, University of Dundee.
   3. J. Daniel Aromí, 2022. "Medición de Incertidumbre Económica en Redes Sociales en Base a Modelos de Procesamiento de Lenguaje Natural," Working Papers 179, Red Nacional de Investigadores en Economía (RedNIE).
   4. J. Daniel Aromí & Martín Llada, 2024. "Are professional forecasters inattentive to public discussions? The case of inflation in Argentina," Working Papers 300, Red Nacional de Investigadores en Economía (RedNIE).
   5. J. Daniel Aromí & Martín Llada, 2020. "Forecasting inflation with twitter," Asociación Argentina de Economía Política: Working Papers 4308, Asociación Argentina de Economía Política.

3. Aromi, Daniel & Clements, Adam, 2019. "Spillovers between the oil sector and the S&P500: The impact of information flow about crude oil," Energy Economics, Elsevier, vol. 81(C), pages 187-196.

   Cited by:

   1. Yu-Ling Hsiao, Cody & Wei, Xinyang & Sheng, Ni & Shao, Chengwu, 2021. "A joint test of policy contagion with application to the solar sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
   2. Xiao, Jihong & Wen, Fenghua & He, Zhifang, 2023. "Impact of geopolitical risks on investor attention and speculation in the oil market: Evidence from nonlinear and time-varying analysis," Energy, Elsevier, vol. 267(C).
   3. Adams, Zeno & Collot, Solène & Kartsakli, Maria, 2020. "Have commodities become a financial asset? Evidence from ten years of Financialization," Energy Economics, Elsevier, vol. 89(C).
   4. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
   5. Chen, Louisa & Verousis, Thanos & Wang, Kai & Zhou, Zhiping, 2023. "Financial stress and commodity price volatility," Energy Economics, Elsevier, vol. 125(C).
   6. Le, Thai Hong & Luong, Anh Tram, 2022. "Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam," Resources Policy, Elsevier, vol. 78(C).
   7. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Hammoudeh, Shawkat, 2022. "The connectedness in the world petroleum futures markets using a Quantile VAR approach," Journal of Commodity Markets, Elsevier, vol. 27(C).
   8. Yanbin Li & Dan Nie & Bingkang Li & Xiyu Li, 2020. "The Spillover Effect between Carbon Emission Trading (CET) Price and Power Company Stock Price in China," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
   9. Nguyen, Duc Khuong & Sensoy, Ahmet & Sousa, Ricardo M. & Salah Uddin, Gazi, 2020. "U.S. equity and commodity futures markets: Hedging or financialization?," Energy Economics, Elsevier, vol. 86(C).
   10. Zhang, Hua & Chen, Jinyu & Shao, Liuguo, 2021. "Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19," International Review of Financial Analysis, Elsevier, vol. 77(C).
   11. Enwereuzoh, Precious Adaku & Odei-Mensah, Jones & Owusu Junior, Peterson, 2021. "Crude oil shocks and African stock markets," Research in International Business and Finance, Elsevier, vol. 55(C).
   12. Selmi, Refk & Hammoudeh, Shawkat & Kasmaoui, Kamal & Sousa, Ricardo M. & Errami, Youssef, 2022. "The dual shocks of the COVID-19 and the oil price collapse: A spark or a setback for the circular economy?," Energy Economics, Elsevier, vol. 109(C).
   13. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
       • Tom Dudda & Tony Klein & Duc Khuong Nguyen & Thomas Walther, 2022. "Common Drivers of Commodity Futures?," Working Papers 2207, Utrecht School of Economics.
   14. Prange, Philipp, 2021. "Does online investor attention drive the co-movement of stock-, commodity-, and energy markets? Insights from Google searches," Energy Economics, Elsevier, vol. 99(C).
   15. Dan Nie & Yanbin Li & Xiyu Li & Xuejiao Zhou & Feng Zhang, 2022. "The Dynamic Spillover between Renewable Energy, Crude Oil and Carbon Market: New Evidence from Time and Frequency Domains," Energies, MDPI, vol. 15(11), pages 1-28, May.
   16. Taicir Mezghani & Mouna Boujelbène Abbes, 2023. "Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 505-530, September.
   17. Filippo Natoli, 2021. "Financialization Of Commodities Before And After The Great Financial Crisis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 488-511, April.
   18. Fousekis, Panos & Tzaferi, Dimitra, 2018. "Market connectedness in the US beef supply chain," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 1).
   19. Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2024. "Could the Russia-Ukraine war stir up the persistent memory of interconnectivity among Islamic equity markets, energy commodities, and environmental factors?," Research in International Business and Finance, Elsevier, vol. 69(C).
   20. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).

4. J. Daniel Aromí, 2018. "GDP growth forecasts and information flows: Is there evidence of overreactions?," International Finance, Wiley Blackwell, vol. 21(2), pages 122-139, June.

   Cited by:

   1. Valentina Beretta & Maria Chiara Demartini & Laura Lico & Sara Trucco, 2021. "A Tone Analysis of the Non-Financial Disclosure in the Automotive Industry," Sustainability, MDPI, vol. 13(4), pages 1-16, February.

5. José Daniel Aromí, 2017. "Measuring uncertainty through word vector representations," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 63, pages 135-156, January-D.
   • José Daniel Aromí, 2017. "Measuring uncertainty through word vector representations," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 63, pages 135-156, January-D.

   Cited by:

   1. J. Daniel Aromí, 2022. "Medición de Incertidumbre Económica en Redes Sociales en Base a Modelos de Procesamiento de Lenguaje Natural," Working Papers 179, Red Nacional de Investigadores en Economía (RedNIE).
   2. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 5 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-CBA: Central Banking (2) 2021-04-05 2024-06-24
2. NEP-MON: Monetary Economics (2) 2021-04-05 2024-06-24
3. NEP-URE: Urban and Real Estate Economics (2) 2021-04-05 2023-01-16
4. NEP-AIN: Artificial Intelligence (1) 2024-06-24
5. NEP-BAN: Banking (1) 2024-06-24
6. NEP-BIG: Big Data (1) 2024-06-24
7. NEP-CMP: Computational Economics (1) 2024-06-24
8. NEP-CUL: Cultural Economics (1) 2018-04-30
9. NEP-ENE: Energy Economics (1) 2018-04-30
10. NEP-FOR: Forecasting (1) 2021-04-05
11. NEP-MAC: Macroeconomics (1) 2021-04-05

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