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| Catálogo de la Biblioteca |
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| Catálogo de la Biblioteca |
Ordenar por: Autor | Título | Año |
| 11 |
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Libro |
The impact of COVID-19 on analysts’ sentiment about the banking sector [Recurso electrónico] / Alicia Aguilar and Diego Torres.
Aguilar, Alicia
Madrid : Banco de España, 2021.
https://repositorio.bde.es/handle/123456789/17071
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| 12 | 0262010933 | Libro |
Performance models of multiprocessor systems / M. Ajmone Marsan, G. Balbo, and G. Conte
Ajmone Marsan, Martino
Cambridge, Mass. [etc.] : MIT Press, 1986
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Fondos |
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| 13 | 978-3-031-71503-7 (En línea) | Libro |
Liquidity dynamics and risk modeling [Recurso electrónico] : navigating trading and investment portfolios frontiers with machine learning algorithms / Mazin A. M. Al Janabi.
Al Janabi, Mazin A. M
Cham : Palgrave Macmillan, 2024.
https://doi.org/10.1007/978-3-031-71503-7
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| 14 | 978-981-19-1036-4 (en línea) | Libro |
Artificial Intelligence and COVID Effect on Accounting [Recurso electrónico] / Bahaaeddin Alareeni, Allam Hamdan, editors.
Alareeni, Bahaaeddin (editor literario)
Singapore : Springer, 2022.
https://doi.org/10.1007/978-981-19-1036-4
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| 15 |
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Libro |
New Technologies and Jobs in Europe [Recurso electrónico] / Stefania Albanesi, Antonio Dias da Silva, Juan Francisco Jimeno, Ana Lamo and Alena Wabitsch.
Albanesi, Stefania
London : CEPR. Centre for Economic Policy Research, 2023.
https://cepr.org/publications/dp18220
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| 16 | 978-84-15793-94-6 | Libro |
Introducción al big data / José Francisco Aldana Montes ... [et al.].
Aldana Montes, José Francisco
[Madrid] : García-Maroto, D.L. 2016.
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Fondos |
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| 17 | 978-1-119-60298-9 | Libro |
Big Data science in Finance. / by Irene Aldridge, Marco Avellaneda.
Aldridge, Irene
Hoboken, New Jersey : Wiley, cop., 2021.
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Fondos |
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| 18 | 978-84-08-29957-8 | Libro |
Qué hacer cuando todo cambia : esquiva la irrelevancia y aprovecha la era de la IA generativa / Esteve Almirall.
Almirall, Esteve
Barcelona : Planeta, 2025.
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Fondos |
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| 19 |
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Libro |
Constrained machine learning models for credit default prediction [Recurso electrónico] : who wins, and who loses / Andrés Alonso-Robisco, José Manuel Carbo, Guillermo de Haro, Juan José Guillén García.
Alonso-Robisco, Andres
Florencia : European University Institute, Robert Schuman Centre for Advanced Studies, 2025.
https://cadmus.eui.eu/entities/publication/d96c631a-0d5b-4373-b681-64c265aa6001
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| 20 |
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Artículo |
Where and how machine learning plays a role in climate finance research [Recurso electrónico] / Andres Alonso-Robisco, Javier Bas, Jose Manuel Carbo, Aranzazu de Juan and Jose Manuel Marques.
Alonso-Robisco, Andres
En: Journal of Sustainable Finance and Investment [Artículos], v.15, issue 2, April 2025, pp.456-497
https://doi.org/10.1080/20430795.2024.2370325
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| 21 |
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Artículo |
Analysis of CBDC narrative by central banks using large language models. [Recurso electrónico] / Andres Alonso-Robisco, Jose Manuel Carbo.
Alonso-Robisco, Andres
En: Finance Research Letters [Artículos], v. 58, Part C, December 2023, art. 104643
https://doi.org/10.1016/j.frl.2023.104643
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| 22 |
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Libro |
Analysis of CBDC narrative of central banks using large language models [Recurso electrónico] / Andres Alonso-Robisco and Jose Manuel Carbo.
Alonso-Robisco, Andres
Madrid : Banco de España, 2023.
https://repositorio.bde.es/handle/123456789/33412
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| 23 |
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Libro |
Machine Learning methods in climate finance [Recurso electrónico] : a systematic review / Andrés Alonso-Robisco, José Manuel Carbó and José Manuel Marqués.
Alonso-Robisco, Andres
Madrid : Banco de España, 2023.
https://repositorio.bde.es/handle/123456789/29594
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| 24 |
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Libro |
Accuracy of explanations of machine learning models for credit decisions [Recurso electrónico] / Andrés Alonso and José Manuel Carbó.
Alonso-Robisco, Andres
Madrid : Banco de España, 2022.
https://repositorio.bde.es/handle/123456789/22517
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| 25 |
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Artículo |
Can machine learning models save capital for banks? [Recurso electrónico] : Evidence from a Spanish credit portfolio / Andrés Alonso-Robisco, José Manuel Carbó.
Alonso-Robisco, Andres
En: International Review of Financial Analysis [Artículos], v. 84, November 2022, 102372
https://doi.org/10.1016/j.irfa.2022.102372
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| 26 |
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Artículo |
Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction [Recurso electrónico] / Andrés Alonso Robisco and José Manuel Carbó Martínez.
Alonso-Robisco, Andres
En: Financial Innovation [Artículos], v. 8, n. 1, 2022, art. 70, 35 p.
https://doi.org/10.1186/s40854-022-00366-1
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| 27 |
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Libro |
Understanding the performance of machine learning models to predict credit default [Recurso electrónico] : a novel approach for supervisory evaluation / Andrés Alonso and José Manuel Carbó.
Alonso-Robisco, Andres
Madrid : Banco de España, 2021.
https://repositorio.bde.es/handle/123456789/14691
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| 28 |
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Libro |
Machine learning in credit risk [Recurso electrónico] : measuring the dilemma between prediction and supervisory cost / Andrés Alonso and José Manuel Carbó.
Alonso-Robisco, Andres
Madrid : Banco de España, 2020.
https://repositorio.bde.es/handle/123456789/14004
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| 29 | 9780262529518 | Libro |
Machine learning : the new AI / Ethem Alpaydin.
Alpaydin, Ethem
Cambridge, Massachusetts : MIT, cop. 2016.
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Fondos |
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| 30 | 978-3-319-09577-6 | Libro |
Advances in artificial economics / Frédéric Amblard ... [et al.], editors.
Amblard, Frédéric
Cham : Springer, cop. 2015.
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Fondos |
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| 31 | 0942641302 | Libro |
The individual investor’s guide to Computerized Investing / a publication of the American Association of Individual Investors
Chicago : International Publishing Corporation, 1991 |
Fondos |
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| 32 |
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Libro |
Computer simulation of competitive market response / Arnold E. Amstutz.
Amstutz, Arnold E.
Cambridge : MIT Press, 1967.
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Fondos |
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| 33 | 1584883480 | Libro |
Business economics and finance with MATLAB, GIS and simulation models / Patrick L.Anderson.
Anderson, Patrick L.
Boca Raton, Florida [etc.] : Chapman & Hall, 2005.
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Fondos |
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| 34 |
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Artículo |
Using newspapers for textual indicators [Recurso electrónico] : guidance based on Spanish- and Portuguese-speaking countries / Erik Andrés-Escayola, Corinna Ghirelli, Luis Molina, Javier J. Pérez and Elena Vidal.
Andres-Escayola, Erik
En: Computational Economics [Artículos], v.64, Issue 2, August 2024, pp. 643 - 692
https://research-ebsco-com.ezproxy-bde.greendata.es/linkprocessor/plink?id=4933b3a7-74a0-3d28-8a7b-f81fec0cc308
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| 35 |
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Libro |
Using newspapers for textual indicators [Recurso electrónico] : which and how many? / Erik Andrés-Escayola, Corinna Ghirelli, Luis Molina, Javier J. Pérez and Elena Vidal.
Andres-Escayola, Erik
Madrid : Banco de España, 2022.
https://repositorio.bde.es/handle/123456789/23435
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