Fronteras del Big Data para el análisis económico y financiero en banca

• Jesús LOZANO ^[1] ; Tomasa RODRIGO ^[1] ; Jorge SICILIA ^[1]
  1. [1] BBVA
• Localización: Papeles de economía española, ISSN 0210-9107, Nº 162, 2019, págs. 98-116
• Idioma: español
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    La irrupción digital y el avance tecnológico han supuesto una revolución en la sociedad y en la organización empresarial. El sector financiero no es ajeno a estos cambios. En este artículo ilustramos el impacto que el uso de la ciencia de datos y la inteligencia artificial han tenido en la transformación del sistema financiero, en los procesos internos de las entidades y en el servicio al cliente, analizando el marco técnico, competitivo y regulatorio que delimita la frontera del big data y que serán clave para el impacto que tendrá en la industria de servicios financieros.

  • English

    Digital transformation and technology developments have led to a revolution in society and business organizations that has also reached financial services. In this article we show the impact that the use of data science and artificial intelligence have had in the transformation of the financial system, firms’ internal processes and customer service, assessing the technical, competitive and regulatory framework that shape the current frontiers of big data and will be key in how it will shape the new structure in the financial services industry.

• Referencias bibliográficas
  • Alfa ro, E., Hernández, M., Maestre, R., Murillo, J., Patane, D., Zerbe, A., Kirkpa trick, R. y Luengo-Oroz, M. (2016). Measuring economic resilience...
  • Andrews, D., Criscuolo, C. y Gal, P. (2015). Frontier Firms, technology diffusion and public policy: micro evidence from OECD countries. Paris:...
  • Ayranci, P., Bolívar, F., Cámara, N., Duque, L., Lozano, J., Posada s, C., Rodrigo, T. y Vázquez, S. (2019). El universo fintech a través...
  • Az i z , S. y Dowl ing, M. (2018). AI and Machine Learning for Risk Management. SSRN Electronic Journal.
  • BaFin (2018). Big data meets artificial intelligence. Challenges and implications for the supervision and regulation of financial services.
  • Barba Navaretti, G., Calzolari, G. y Franco Pozzolo, A. (2017). Fintech, Banks friend or foes? European Economy. Banks, Regulation, and the...
  • Beauchamp, T. y Childress, J. (1979). Principles of Biomedical Ethics. New York: Oxford University Press.
  • Berg, T., Burg, V., Gombovi, A. y Puri, M. (2019). On the Rise of Fintechs – Credit Scoring Using Digital Footprints. Working Paper Series Research...
  • Blei, M. y Laff erty, J. (2006). Dynamic Topic Models. ICML 2006 – Proceedings of the 23rd International Conference on Machine Learning. pp....
  • Blei, M. Y., Ng, A. y Jorda n, M. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, pp. doi: 993-1022. 10.1162/jmlr.2003.3.4-5.993
  • Boda s-Sagi, D. J., García, J. R., Rodrigo. T., Ruiz de Aguirre, P., Ulloa, C., Murillo Arias, J., Romero Palop, J. D., Valero Lapa , H. y...
  • Bolívar, F., Duque, L., Ortiz, A. y Rodrigo, T. (2019). Disentangling risks, activity and performance through US corporate reports. Mimeo....
  • Bostrom, N. y Yudkowsky, E. (2014). The ethics of artificial intelligence. The Cambridge Handbook of Artificial Intelligence, pp. 316-334.
  • Bresnahan, T. y Traj tenberg, M. (1996). General purpose technologies: e n g i n e s o f g r o w t h ? . J o u r n a l o f E c o n o m e t...
  • Brynjolfsson, E., Rock, D. y Syverson, C. (2017). Artificial intelligence and the modern productivity paradox: a clash of expectations and...
  • BBVA Research (2015). Situación de Economía Digital, diciembre.
  • Cerqueira, O., Dos Santos, E., Fernández de Lis, S., Neut, A. y Sebastián, J. (2017). Monedas digitales emitidas por los bancos centrales:...
  • Comisión Europea (2018). Guidance on sharing private sector data in the European data economy [COM(2018) 232 final]. Commission Staff Working...
  • Craf ts, N. (2018). The productivity slowdown: is it the ‘new normal’? Oxford Review of Economic Policy, 34(3), pp 443-460.
  • Daly, A., Hagendorff , T., Hui, L., Mann, M., Marda , V., Wagner, B., Wang, W. y Witteborn, S. (2019). Artificial Intelligence Governance...
  • Ehrlich, G., Haltiwanger, J., Jarmin, R., Johnson, D. y Shapiro, M. (2019). Re- Engineering Key National Economic Indicators. En Big Data...
  • Fe rnánde z de Li s , S . y Ur b iola, P . (2019). Transformación digital y competencia en el sector financiero. Working Paper, n.º 19/01....
  • Frame, S., Wall, L. y Lawrence, J. (2018). Technological Change and Financial Innovation in Banking: Some Implications for Fintech. 3rd Edition. Oxford...
  • Financial Stab ility Board, FSB (2017). Artificial intelligence and machine learning in financial services. Market developments and financial...
  • Furman, J. (2019). Unlocking digital competition. Report of the digital competition expert panel UK. Document for the Government. London.
  • Furman, J. y Seamans, R. (2018). AI and the Economy. Innovation Policy and the Economy, Volume 19. Lerner and Stern.
  • Goldfa rb, A. y Tucker, C. (2017). Digital Economics. Journal of Economic Literature, 57(1), pp. 3-43. NBER.
  • Gordon, R. (2016). The Rise and Fall of American Growth: The U.S. Standard of Living since the Civil War. Princeton: Oxford: Princeton University...
  • Heil, M. (2017). Finance and productivity: A literature review. Working Paper, 1374. Paris: OECD Economic Dep.
  • Henke, N., Bughin, J., Chui, M., Manyika, J., Saleh, T., Wiseman, B. y Sethupathy, G. (2016). The age of analytics: competing in a data-driven...
  • Institute of International Finance, IIF (2019). Bias and Ethical Implications in Machine Learning. Machine Learning Thematic Series Part II.
  • International Organization of Securities Commissions, IOSCO (2017). Research Report on Financial Technologies (Fintech). Jones, C. y Tonetti,...
  • Leetaru, K. y Schrodt, P. (2013). Global Database of Events, Language, and Tone (GDELT).
  • Lessmann, S., Baesens, B., Seow, H. V. y Thomas, L. (2015). Benchmarking s t a t e - o f - t h e a r t c l a s s i f i c a t i o n algorithms...
  • Maestre, R., Duque, J., Rubio, A. y Arévalo, J. (2019). Reinforcement Learning for Fair Dynamic Pricing. En K. Arai, S. Kap oor y R. Bhatia...
  • Merton, R. C. (1992). Financial Innovation and Economic Performance. Journal of Applied Corporate Finance, 4(4) (winter 1992), pp. 12-22.
  • Ortiz, A. y Rodrigo, T. (2018). How do the emerging markets’ central banks talk? A big data approach to the Central Bank of Turkey. Working Paper,...
  • Ortiz, A. y Rodrigo, T. (2018). Monitoring Global Trade Support in real time using Big Data. BBVA Research Big Data Watch – July 2018.
  • Pad illa, J. y De la Mano, M. (2018). Big Tech Banking.
  • Phi l i pp on, T . ( 2 0 1 7 ) . T h e F i n t e c h Opportunity. BIS Working Paper, n.º 655.
  • Rosenberg, M., Confessore, N. y Cad wallad r, C. (2018). How Trump Consultants Exploited the Facebook Data of Millions. The New York Times,...
  • Steenis, H. van (2019). Future of finance. Review on the outlook for the UK financial system: what it means for the bank of England. Bank...
  • Varian, H. (2018). Artificial Intelligence, E c o n o m i c s , and I n d u s t r i a l Organization. The Economics of Artificial Intelligence:...
  • Vives, X. (2019). Digital disruption in banking. IESE Business School
  • Wedge, R., Kanter, J. M, Veeramachaneni, K., Rubio, S. M. y Pérez, S. I. (2019). Solving the False Positives Problem in Fraud Prediction Using...
  • World Bank (2019). Fintech: The Experience so Far – Executive Summary.
  • Zuiderveen, F. (2018). Discrimination, artificial intelligence, and algorithmic decision-making. S t r a s b o u r g : Council of Europe.