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Andres Azqueta-Gavaldon

Personal Details

First Name:Andres
Middle Name:
Last Name:Azqueta-Gavaldon
Suffix:
RePEc Short-ID:paz112
[This author has chosen not to make the email address public]
http://andresazqueta.com
Terminal Degree: Adam Smith Business School; University of Glasgow (from RePEc Genealogy)

Affiliation

Banco de España

Madrid, Spain
http://www.bde.es/
RePEc:edi:bdegves (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Al-Haschimi, Alexander & Apostolou, Apostolos & Azqueta-Gavaldon, Andres & Ricci, Martino, 2023. "Using machine learning to measure financial risk in China," Working Paper Series 2767, European Central Bank.
  2. Andrés Azqueta-Gavaldón & Marina Diakonova & Corinna Ghirelli & Javier J. Pérez, 2023. "Sources of economic policy uncertainty in the euro area: a ready-to-use database," Occasional Papers 2315, Banco de España.
  3. Azqueta-Gavaldon, Andres, 2020. "Political referenda and investment: evidence from Scotland," Working Paper Series 2403, European Central Bank.
  4. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series 2494, European Central Bank.
  5. Monica Azqueta-Gavaldon & Gonzalo Azqueta-Gavaldon & Inigo Azqueta-Gavaldon & Andres Azqueta-Gavaldon, 2020. "Developing a real estate yield investment deviceusing granular data and machine learning," Papers 2008.02629, arXiv.org.
  6. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Economic policy uncertainty in the euro area: an unsupervised machine learning approach," Working Paper Series 2359, European Central Bank.

Articles

  1. Azqueta-Gavaldón, Andrés & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2023. "Sources of Economic Policy Uncertainty in the euro area," European Economic Review, Elsevier, vol. 152(C).
  2. Azqueta-Gavaldon, Andres, 2023. "Political referenda and investment: Evidence from Scotland," European Journal of Political Economy, Elsevier, vol. 80(C).
  3. Azqueta-Gavaldón, Andrés, 2020. "Causal inference between cryptocurrency narratives and prices: Evidence from a complex dynamic ecosystem," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
  4. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2019. "Sources of economic policy uncertainty in the euro area: a machine learning approach," Economic Bulletin Boxes, European Central Bank, vol. 5.
  5. Azqueta-Gavaldón, Andrés, 2017. "Developing news-based Economic Policy Uncertainty index with unsupervised machine learning," Economics Letters, Elsevier, vol. 158(C), pages 47-50.

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. Al-Haschimi, Alexander & Apostolou, Apostolos & Azqueta-Gavaldon, Andres & Ricci, Martino, 2023. "Using machine learning to measure financial risk in China," Working Paper Series 2767, European Central Bank.

    Cited by:

    1. Jean-Charles Bricongne & Baptiste Meunier & Raquel Caldeira, 2024. "Should Central Banks Care About Text Mining? A Literature Review," Working papers 950, Banque de France.

  2. Andrés Azqueta-Gavaldón & Marina Diakonova & Corinna Ghirelli & Javier J. Pérez, 2023. "Sources of economic policy uncertainty in the euro area: a ready-to-use database," Occasional Papers 2315, Banco de España.

    Cited by:

    1. Pastorek, Daniel, 2023. "Euro area uncertainty and Euro exchange rate volatility: Exploring the role of transnational economic policy," Finance Research Letters, Elsevier, vol. 58(PA).
    2. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    3. Daniel Pastorek & Dajana Mazurkova, 2023. "The Heterogeneity of European Bank Lending and the Role of Economic Policy Uncertainty," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(3), pages 258-278, March.

  3. Azqueta-Gavaldon, Andres, 2020. "Political referenda and investment: evidence from Scotland," Working Paper Series 2403, European Central Bank.

    Cited by:

    1. Nguyen, Minh Hong & Trinh, Vu Quang, 2023. "U.K. economic policy uncertainty and innovation activities: A firm-level analysis," Journal of Economics and Business, Elsevier, vol. 123(C).
    2. Shams, Syed & Gunaskerage, Abeyratna & Velayutham, Eswaran, 2022. "Economic policy uncertainty and acquisition performance: Australian evidence," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 286-308.
    3. Zeng, Ting & Zhao, Wei & Liu, Zhengning, 2022. "Investment response to exchange rate uncertainty: Evidence from Chinese exporters," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 488-505.

  4. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series 2494, European Central Bank.

    Cited by:

    1. Bijnens, Gert & Anyfantaki, Sofia & Colciago, Andrea & De Mulder, Jan & Falck, Elisabeth & Labhard, Vincent & Lopez-Garcia, Paloma & Meriküll, Jaanika & Parker, Miles & Röhe, Oke & Schroth, Joachim & , 2024. "The impact of climate change and policies on productivity," Occasional Paper Series 340, European Central Bank.

  5. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Economic policy uncertainty in the euro area: an unsupervised machine learning approach," Working Paper Series 2359, European Central Bank.

    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. Diana Petrova & Pavel Trunin, 2023. "Estimation of Economic Policy Uncertainty," Russian Journal of Money and Finance, Bank of Russia, vol. 82(3), pages 48-61, September.
    3. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
    4. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    5. de Lucio, Juan & Mora-Sanguinetti, Juan S., 2022. "Drafting “better regulation”: The economic cost of regulatory complexity," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 163-183.
    6. Hauzenberger, Niko & Pfarrhofer, Michael & Stelzer, Anna, 2021. "On the effectiveness of the European Central Bank’s conventional and unconventional policies under uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 822-845.
    7. Quelhas, João, 2022. "Monetary Policy Uncertainty and its impact on the real economy: Empirical Evidence from the Euro area," MPRA Paper 113621, University Library of Munich, Germany, revised May 2022.
    8. Juan de Lucio & Juan S. Mora-Sanguinetti, 2021. "New dimensions of regulatory complexity and their economic cost. An analysis using text mining," Working Papers 2107, Banco de España.
    9. Roman Valovic & Daniel Pastorek, 2023. "A Robustness Analysis of Newspaper-based Indices," MENDELU Working Papers in Business and Economics 2023-89, Mendel University in Brno, Faculty of Business and Economics.
    10. 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).
    11. 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.

Articles

  1. Azqueta-Gavaldón, Andrés & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2023. "Sources of Economic Policy Uncertainty in the euro area," European Economic Review, Elsevier, vol. 152(C).

    Cited by:

    1. Pastorek, Daniel, 2023. "Euro area uncertainty and Euro exchange rate volatility: Exploring the role of transnational economic policy," Finance Research Letters, Elsevier, vol. 58(PA).
    2. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    3. Azqueta-Gavaldon, Andres, 2023. "Political referenda and investment: Evidence from Scotland," European Journal of Political Economy, Elsevier, vol. 80(C).
    4. Wang, Zhixiao & Kong, Dongmin & Liu, Shasha, 2024. "Corporate social responsibility and firm-level systematic risk: The moderating effect of economic policy uncertainty," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. Daniel Pastorek & Dajana Mazurkova, 2023. "The Heterogeneity of European Bank Lending and the Role of Economic Policy Uncertainty," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(3), pages 258-278, March.
    6. Griller, Stefan & Huber, Florian & Pfarrhofer, Michael, 2024. "Financial markets and legal challenges to unconventional monetary policy," European Economic Review, Elsevier, vol. 163(C).
    7. Spyridon Boikos & Eirini Makantasi & Theodore Panagiotidis, 2023. "Macroeconomic Uncertainty Indices for European Countries," Notas Económicas, Faculty of Economics, University of Coimbra, issue 57, pages 7-56, December.

  2. Azqueta-Gavaldon, Andres, 2023. "Political referenda and investment: Evidence from Scotland," European Journal of Political Economy, Elsevier, vol. 80(C).
    See citations under working paper version above.
  3. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2019. "Sources of economic policy uncertainty in the euro area: a machine learning approach," Economic Bulletin Boxes, European Central Bank, vol. 5.

    Cited by:

    1. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    3. Baumgärtner, Martin & Zahner, Johannes, 2023. "Whatever it takes to understand a central banker: Embedding their words using neural networks," IMFS Working Paper Series 194, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    4. Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.

  4. Azqueta-Gavaldón, Andrés, 2017. "Developing news-based Economic Policy Uncertainty index with unsupervised machine learning," Economics Letters, Elsevier, vol. 158(C), pages 47-50.

    Cited by:

    1. Ivana Lolić & Petar Sorić & Marija Logarušić, 2022. "Economic Policy Uncertainty Index Meets Ensemble Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 401-437, August.
    2. Tetiana Yukhymenko, 2021. "Role of the Media in the Inflation Expectation Formation Process," IHEID Working Papers 13-2021, Economics Section, The Graduate Institute of International Studies.
    3. Tosapol Apaitan & Pongsak Luangaram & Pym Manopimoke, 2020. "Uncertainty and Economic Activity: Does it Matter for Thailand?," PIER Discussion Papers 130, Puey Ungphakorn Institute for Economic Research.
    4. Tosapol Apaitan & Pongsak Luangaram & Pym Manopimoke, 2022. "Uncertainty in an emerging market economy: evidence from Thailand," Empirical Economics, Springer, vol. 62(3), pages 933-989, March.
    5. Viktoriia Naboka-Krell, 2023. "Construction and Analysis of Uncertainty Indices based on Multilingual Text Representations," MAGKS Papers on Economics 202310, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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 6 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-BIG: Big Data (6) 2020-02-03 2020-05-18 2020-08-31 2020-12-07 2023-02-20 2023-09-25. Author is listed
  2. NEP-CMP: Computational Economics (6) 2020-02-03 2020-05-18 2020-08-31 2020-12-07 2023-02-20 2023-09-25. Author is listed
  3. NEP-EEC: European Economics (2) 2020-02-03 2023-09-25. Author is listed
  4. NEP-FDG: Financial Development and Growth (2) 2020-12-07 2023-02-20. Author is listed
  5. NEP-CNA: China (1) 2023-02-20
  6. NEP-FMK: Financial Markets (1) 2023-02-20
  7. NEP-MAC: Macroeconomics (1) 2020-02-03
  8. NEP-NET: Network Economics (1) 2020-12-07
  9. NEP-POL: Positive Political Economics (1) 2020-05-18
  10. NEP-RMG: Risk Management (1) 2023-02-20
  11. NEP-URE: Urban and Real Estate Economics (1) 2020-08-31

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