Raul Morales Resendiz

Personal Details

First Name:	Raul
Middle Name:
Last Name:	Morales Resendiz
Suffix:
RePEc Short-ID:	pmo1004
	[This author has chosen not to make the email address public]

Affiliation

Bank for International Settlements (BIS)

Basel, Switzerland
http://www.bis.org/
RePEc:edi:bisssch (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

Sorry, no citations of working papers recorded.

Articles

1. Arévalo, Franklim & Barucca, Paolo & Téllez-León, Isela-Elizabeth & Rodríguez, William & Gage, Gerardo & Morales, Raúl, 2022. "Identifying clusters of anomalous payments in the salvadorian payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).

   Cited by:

   1. Ajit Desai & Anneke Kosse & Jacob Sharples, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," BIS Working Papers 1188, Bank for International Settlements.
      • Ajit Desai & Jacob Sharples & Anneke Kosse, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.
      • Ajit Desai & Anneke Kosse & Jacob Sharples, 2024. "Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems," Staff Working Papers 24-15, Bank of Canada.
   2. Ludivia Hernandez Aros & Luisa Ximena Bustamante Molano & Fernando Gutierrez-Portela & John Johver Moreno Hernandez & Mario Samuel Rodríguez Barrero, 2024. "Financial fraud detection through the application of machine learning techniques: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.

2. Morales-Resendiz, Raúl & Ponce, Jorge & Picardo, Pablo & Velasco, Andrés & Chen, Bobby & Sanz, León & Guiborg, Gabriela & Segendorff, Björn & Vasquez, José Luis & Arroyo, John & Aguirre, Illich & Hayn, 2021. "Implementing a retail CBDC: Lessons learned and key insights," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).

   Cited by:

   1. Bert Van Roosebeke & Ryan Defina, 2022. "Central Bank Digital Currencies: A Review of Operating Models and Design Issues," IADI Fintech Briefs 13, International Association of Deposit Insurers.
      • Van Roosebeke, Bert & Defina, Ryan, 2022. "Central Bank Digital Currencies: A Review of Operating Models and Design Issues," MPRA Paper 116240, University Library of Munich, Germany.
   2. Ngo, Vu Minh & Van Nguyen, Phuc & Nguyen, Huan Huu & Thi Tram, Huong Xuan & Hoang, Long Cuu, 2023. "Governance and monetary policy impacts on public acceptance of CBDC adoption," Research in International Business and Finance, Elsevier, vol. 64(C).
   3. Sarmiento, Adolfo, 2022. "Seven lessons from the e-Peso pilot plan: The possibility of a Central Bank Digital Currency," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).

3. Marqués, José Manuel & Ávila, Fernando & Rodríguez-Martínez, Anahí & Morales-Reséndiz, Raúl & Marcos, Antonio & Godoy, Tamara & Villalobos, Pablo & Ocontrillo, Andrea & Lankester, Valerie Ann & Blanco, 2021. "Policy report on FinTech data gaps," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).

   Cited by:

   1. Bejar, Pablo & Ishi, Kotaro & Komatsuzaki, Takuji & Shibata, Ippei & Sin, Jasmin & Tambunlertchai, Suchanan, 2022. "Can Fintech Foster Competition in the Banking System in Latin America and the Caribbean?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).
      • Suchanan Tambunlertchai & Kotaro Ishi & Mr. Takuji Komatsuzaki & Mr. Ippei Shibata & Jasmin Sin, 2021. "Can Fintech Foster Competition in the Banking System in Latin America and the Caribbean?," IMF Working Papers 2021/114, International Monetary Fund.

4. Rubio, Jeniffer & Barucca, Paolo & Gage, Gerardo & Arroyo, John & Morales-Resendiz, Raúl, 2020. "Classifying payment patterns with artificial neural networks: An autoencoder approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
   • Luis Gerardo Gage & Raúl Morales-Resendiz & John Arroyo & Jeniffer Rubio & Paolo Barucca, 2022. "Classifying payment patterns with artificial neural networks: an autoencoder approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.

   Cited by:

   1. Paulick, Jan & Berndsen, Ron & Diehl, Martin & Heijmans, Ronald, 2021. "No more Tears without Tiers? The Impact of Indirect Settlement on liquidity use in TARGET2," Discussion Paper 2021-022, Tilburg University, Center for Economic Research.
      • Paulick, Jan & Berndsen, Ron & Diehl, Martin & Heijmans, Ronald, 2021. "No more Tears without Tiers? The Impact of Indirect Settlement on liquidity use in TARGET2," Other publications TiSEM 57477131-2199-46bf-a2f1-5, Tilburg University, School of Economics and Management.
      • Jan Paulick & Ron Berndsen & Martin Diehl & Ronald Heijmans, 2024. "No more tears without tiers? The impact of indirect settlement on liquidity use in TARGET2," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 425-458, May.
   2. Ajit Desai & Anneke Kosse & Jacob Sharples, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," BIS Working Papers 1188, Bank for International Settlements.
      • Ajit Desai & Jacob Sharples & Anneke Kosse, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.
      • Ajit Desai & Anneke Kosse & Jacob Sharples, 2024. "Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems," Staff Working Papers 24-15, Bank of Canada.
   3. Carolina E S Mattsson & Teodoro Criscione & Frank W Takes, 2022. "Circulation of a digital community currency," Papers 2207.08941, arXiv.org, revised Jun 2023.
   4. Arévalo, Franklim & Barucca, Paolo & Téllez-León, Isela-Elizabeth & Rodríguez, William & Gage, Gerardo & Morales, Raúl, 2022. "Identifying clusters of anomalous payments in the salvadorian payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
   5. Heijmans, Ronald & Wendt, Froukelien, 2023. "Measuring the impact of a failing participant in payment systems," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
   6. Irving Fisher Committee, 2024. "Granular data: new horizons and challenges," IFC Bulletins, Bank for International Settlements, number 61.
   7. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
   8. Ludivia Hernandez Aros & Luisa Ximena Bustamante Molano & Fernando Gutierrez-Portela & John Johver Moreno Hernandez & Mario Samuel Rodríguez Barrero, 2024. "Financial fraud detection through the application of machine learning techniques: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.

Chapters

1. Luis Gerardo Gage & Raúl Morales-Resendiz & John Arroyo & Jeniffer Rubio & Paolo Barucca, 2022. "Classifying payment patterns with artificial neural networks: an autoencoder approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.
   • Rubio, Jeniffer & Barucca, Paolo & Gage, Gerardo & Arroyo, John & Morales-Resendiz, Raúl, 2020. "Classifying payment patterns with artificial neural networks: An autoencoder approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
   See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

Sorry, no citations of books recorded.

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Co-authorship network on CollEc

Corrections

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