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Lucia Alessi

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. Alessi, Lucia & Battiston, Stefano, 2021. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," Working Papers 2021-14, Joint Research Centre, European Commission.

    Cited by:

    1. Ricardo Crisostomo, 2022. "Measuring Transition Risk in Investment Funds," Papers 2210.15329, arXiv.org, revised Dec 2022.
    2. Dafermos, Yannis & van Lerven, Frank & Nikolaidi, Maria, 2022. "Greening capital requirements," LSE Research Online Documents on Economics 116946, London School of Economics and Political Science, LSE Library.

  2. Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," Working Papers 2021-13, Joint Research Centre, European Commission.

    Cited by:

    1. Alessi, Lucia & Battiston, Stefano, 2021. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," Working Papers 2021-14, Joint Research Centre, European Commission.
    2. Alessi, Lucia & Battiston, Stefano & Kvedaras, Virmantas, 2021. "Over with carbon? Investors' reaction to the Paris Agreement and the US withdrawal," Working Papers 2021-12, Joint Research Centre, European Commission.
    3. Alessi, Lucia & Battiston, Stefano, 2022. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," International Review of Financial Analysis, Elsevier, vol. 84(C).

  3. Alessi, Lucia & Battiston, Stefano & Kvedaras, Virmantas, 2021. "Over with carbon? Investors' reaction to the Paris Agreement and the US withdrawal," Working Papers 2021-12, Joint Research Centre, European Commission.

    Cited by:

    1. Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," Working Papers 2021-13, Joint Research Centre, European Commission.
    2. Barbara Annicchiarico & Fabio Di Dio & Francesca Diluiso, 2022. "Climate Actions, Market Beliefs and Monetary Policy," CEIS Research Paper 535, Tor Vergata University, CEIS, revised 25 Mar 2022.
    3. Alessi, Lucia & Battiston, Stefano, 2021. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," Working Papers 2021-14, Joint Research Centre, European Commission.
    4. Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda, 2023. "In search of climate distress risk," International Review of Financial Analysis, Elsevier, vol. 85(C).
    5. Alessi, Lucia & Battiston, Stefano, 2022. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," International Review of Financial Analysis, Elsevier, vol. 84(C).

  4. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," Working Papers 2019-03, Joint Research Centre, European Commission.

    Cited by:

    1. Caravaggio, Nicola & Carnazza, Giovanni, 2022. "The Italian nominal interest rate conundrum: A problem of growth or public finance?," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 313-326.
    2. Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.

  5. Lucia Alessi & Elisa, Ossola & Roberto Panzica, 2019. "The Greenium matters: greenhouse gas emissions, environmental disclosures, and stock prices," Working Papers 418, University of Milano-Bicocca, Department of Economics, revised Apr 2020.

    Cited by:

    1. Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," Working Papers 2021-13, Joint Research Centre, European Commission.
    2. Liebich, Lena & Nöh, Lukas & Rutkowski, Felix Joachim & Schwarz, Milena, 2021. "Unconventionally green: A monetary policy between engagement and conflicting goals," Working Papers 05/2021, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    3. Danilo Liberati & Giuseppe Marinelli, 2021. "Everything you always wanted to know about green bonds (but were afraid to ask)," Questioni di Economia e Finanza (Occasional Papers) 654, Bank of Italy, Economic Research and International Relations Area.
    4. Stefano Battiston & Petr Jakubik & Irene Monasterolo & Keywan Riahi & Bas van Ruijven, 2019. "Climate Risk Assessment of the Sovereign Bond Portfolio of European Insurers," EIOPA Financial Stability Report - Thematic Articles 15, EIOPA, Risks and Financial Stability Department.
    5. Monasterolo, Irene & de Angelis, Luca, 2020. "Blind to carbon risk? An analysis of stock market reaction to the Paris Agreement," Ecological Economics, Elsevier, vol. 170(C).
    6. Drudi, Francesco & Moench, Emanuel & Holthausen, Cornelia & Weber, Pierre-François & Ferrucci, Gianluigi & Setzer, Ralph & Adao, Bernardino & Dées, Stéphane & Alogoskoufis, Spyros & Téllez, Mar Delgad, 2021. "Climate change and monetary policy in the euro area," Occasional Paper Series 271, European Central Bank.

  6. Alessi, Lucia & Benczur, Peter & Campolongo, Francesca & Cariboni, Jessica & Manca, Anna Rita & Menyhert, Balint & Pagano, Andrea, 2018. "The resilience of EU Member States to the financial and economic crisis. What are the characteristics of resilient behaviour?," JRC Research Reports JRC111606, Joint Research Centre.

    Cited by:

    1. Alexandru Pavel & Bogdan Andrei Moldovan & Karima Kourtit & Peter Nijkamp, 2020. "Urban or Rural: Does It Make A Difference for Economic Resilience? A Modelling Study on Economic and Cultural Geography in Romania," Sustainability, MDPI, vol. 12(9), pages 1-39, May.
    2. Filippo Di Pietro & Patrizio Lecca & Simone Salotti, 2020. "Regional economic resilience in the European Union: a numerical general equilibrium analysis," JRC Working Papers on Territorial Modelling and Analysis 2020-03, Joint Research Centre.
    3. Christoph Glatz & Anja Eder, 2020. "Patterns of Trust and Subjective Well-Being Across Europe: New Insights from Repeated Cross-Sectional Analyses Based on the European Social Survey 2002–2016," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 417-439, April.
    4. Augusto Cerqua & Roberta Di Stefano & Guido Pellegrini, 2021. "What kind of region reaps the benefits of a currency union?," Working Papers 2/21, Sapienza University of Rome, DISS.
    5. Nicola Pontarollo & Carolina Serpieri, 2018. "A composite policy tool to measure territorial resilience capacity," JRC Research Reports JRC111389, Joint Research Centre.

  7. Alessi, Lucia & Cannas, Giuseppina & Maccaferri, Sara & Petracco Giudici, Marco, 2017. "The European Deposit Insurance Scheme: Assessing risk absorption via SYMBOL," Working Papers 2017-12, Joint Research Centre, European Commission.

    Cited by:

    1. Arghyrou, Michael G & Gadea, Mar a Dolores, 2019. "Private bank deposits and macro/fiscal risk in the euro-area," Cardiff Economics Working Papers E2019/6, Cardiff University, Cardiff Business School, Economics Section.
    2. Thierry Warin & Aleksandar Stojkov, 2021. "Banks’ Foreign Claims in the Aftermath of the 2008 Crisis: Institutional Response, Financial Efficiency, and Integration of Cross-Border Banking in the Euro Area," JRFM, MDPI, vol. 14(2), pages 1-17, February.

  8. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.

    Cited by:

    1. Boer, Lukas & Lütkepohl, Helmut, 2021. "Qualitative versus quantitative external information for proxy vector autoregressive analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    2. Kerssenfischer, Mark, 2017. "The effects of US monetary policy shocks: Applying external instrument identification to a dynamic factor model," Discussion Papers 08/2017, Deutsche Bundesbank.
    3. Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Fiscal policy shocks and stock prices in the United States," European Economic Review, Elsevier, vol. 129(C).
    4. Gries, Thomas & Mitschke, Alexandra, 2019. "Systemic instability of the interbank credit market: A contribution to a resilient financial system," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203582, Verein für Socialpolitik / German Economic Association.
    5. Lütkepohl, Helmut & Schlaak, Thore, 2021. "Heteroskedastic Proxy Vector Autoregressions," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242399, Verein für Socialpolitik / German Economic Association.
    6. Anwar, Cep Jandi, 2021. "Heterogeneity Effect of Central Bank Independence on Asset Prices: Evidence from Selected Developing Countries," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(2), pages 65-80.
    7. Lake, A., 2020. "Behavioural Finance at Home: Testing Deviations of House Prices from their Fundamental Values," Cambridge Working Papers in Economics 20104, Faculty of Economics, University of Cambridge.
    8. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    9. Anthony Olugbenga ADARAMOLA & Peter Akinyemi KAYODE, 2022. "Is Monetary Policy - Stock Price Behaviour Effect Sector-Sensitive? Evidence From Nigeria," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 7(3), pages 171-193.
    10. Christophe Blot & Fabien Labondance, 2021. "Beyond the Interest Rate Pass-through: Monetary Policy and Banks Interest Rates during the Effective Lower Bound," Working Papers 2021-03, CRESE.
    11. Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
    12. Helmut Lütkepohl & Aleksei Netsunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Discussion Papers of DIW Berlin 1729, DIW Berlin, German Institute for Economic Research.
    13. Christophe Blot & Paul Hubert & Fabien Labondance, 2020. "The asymmetric effects of monetary policy on stock price bubbles," Working Papers hal-03403075, HAL.
    14. Mirela Sorina Miescu & Giorgio Motta & Dario Pontiggia & Raffaele Rossi, 2023. "The Expansionary Effects Of Housing Credit Supply Shocks," Working Papers 399832231, Lancaster University Management School, Economics Department.
    15. Kaelo Ntwaepelo & Grivas Chiyaba, 2022. "Financial Stability Surveillance Tools: Evaluating the Performance of Stress Indices," Economics Discussion Papers em-dp2022-06, Department of Economics, University of Reading.
    16. Jonas Meier, 2020. "Multivariate Distribution Regression," Diskussionsschriften dp2023, Universitaet Bern, Departement Volkswirtschaft.
    17. Amat Adarov, 2017. "Financial Cycles in Credit, Housing and Capital Markets: Evidence from Systemic Economies," wiiw Working Papers 140, The Vienna Institute for International Economic Studies, wiiw.
    18. Helmut Herwartz & Simone Maxand & Hannes Rohloff, 2022. "The Link between Monetary Policy, Stock Prices, and House Prices—Evidence from a Statistical Identification Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 18(5), pages 1-53, December.
    19. Mirela Miescu & Haroon Mumtaz, 2019. "Proxy structural vector autoregressions, informational sufficiency and the role of monetary policy," Working Papers 280730188, Lancaster University Management School, Economics Department.
    20. Takumah, Wisdom, 2023. "Fiscal Policy and Asset Prices in a Dynamic Factor Model with Cointegrated Factors," MPRA Paper 117897, University Library of Munich, Germany, revised 10 Jul 2023.

  9. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.

    Cited by:

    1. Martin Bruns & Mr. Tigran Poghosyan, 2016. "Leading Indicators of Fiscal Distress: Evidence from the Extreme Bound Analysis," IMF Working Papers 2016/028, International Monetary Fund.
    2. Lukasz, Rachel & Fisher, Jack, 2016. "Assessing vulnerabilities to financial shocks in some key global economies," Bank of England working papers 636, Bank of England.
    3. Mathonnat, Clément & Minea, Alexandru, 2018. "Financial development and the occurrence of banking crises," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 344-354.
    4. du Plessis, Emile & Fritsche, Ulrich, 2022. "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series 67, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    5. Caggiano, Giovanni & Calice, Pietro & Leonida, Leone & Kapetanios, George, 2016. "Comparing logit-based early warning systems: Does the duration of systemic banking crises matter?," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 104-116.
    6. Piotr Bańbuła & Marcin Pietrzak, 2021. "Early Warning Models of Banking Crises: VIX and High Profits," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 381-403, December.
    7. Niall Conroy & Eddie Casey, 2019. "The Current Account, a Real-Time Signal of Economic Imbalances or 20/20 Hindsight?," The Economic and Social Review, Economic and Social Studies, vol. 50(1), pages 77-102.
    8. Elias Aptus & Volker Britz & Hans Gersbach, 2020. "Crisis Contracts," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(1), pages 121-164, July.
    9. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    10. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    11. Gernát, Peter & Košťálová, Zuzana & Lyócsa, Štefan, 2020. "What drives U.S. financial sector volatility? A Bayesian model averaging perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
    12. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    13. Figini, Silvia & Maggi, Mario & Uberti, Pierpaolo, 2020. "The market rank indicator to detect financial distress," Econometrics and Statistics, Elsevier, vol. 14(C), pages 63-73.
    14. Berlinger, Edina, 2017. "Implicit rating: A potential new method to alert crisis on the interbank lending market," Finance Research Letters, Elsevier, vol. 21(C), pages 277-283.
    15. Kollar, Miroslav & Schmieder, Christian, 2019. "Macro-based asset allocation: An empirical analysis," EIB Working Papers 2019/11, European Investment Bank (EIB).
    16. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    17. Mr. Jorge A Chan-Lau, 2020. "UnFEAR: Unsupervised Feature Extraction Clustering with an Application to Crisis Regimes Classification," IMF Working Papers 2020/262, International Monetary Fund.
    18. Mathias Drehmann & Anamaria Illes & Mikael Juselius & Marjorie Santos, 2015. "How much income is used for debt payments? A new database for debt service ratios," BIS Quarterly Review, Bank for International Settlements, September.
    19. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
    20. Alessandro Bitetto & Paola Cerchiello & Charilaos Mertzanis, 2021. "A data-driven approach to measuring financial soundness throughout the world," DEM Working Papers Series 199, University of Pavia, Department of Economics and Management.
    21. Ons Jedidi & Jean-Sébastien Pentecôte, 2015. "Prédire les crises bancaires : un système d’alerte robuste," Revue française d'économie, Presses de Sciences-Po, vol. 0(3), pages 189-225.
    22. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    23. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    24. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    25. Tomáš, Domonkos & Filip, Ostrihoň & Ivana, Šikulová & Mária, Širaňová, 2017. "Analysing the Relevance of the MIP Scoreboard's Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 239, pages 32-52, February.
    26. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.

  10. Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.

    Cited by:

    1. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers 2/2019, Halle Institute for Economic Research (IWH).
    2. Onder Ozgur & Erdal Tanas Karagol & Fatih Cemil Ozbugday, 2021. "Machine learning approach to drivers of bank lending: evidence from an emerging economy," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-29, December.
    3. Ferrari, Stijn & Pirovano, Mara, 2015. "Early warning indicators for banking crises: a conditional moments approach," MPRA Paper 62406, University Library of Munich, Germany.
    4. Geraldine Dany-Knedlik & Martina Kämpfe & Tobias Knedlik, 2021. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European Countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 123-139, February.
    5. Piotr Krajewski & Agata Szymanska, 2019. "The effectiveness of fiscal policy within business cycle-Ricardians vs. non-Ricardians approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(2), pages 195-215.
    6. Piergiorgio Alessandri & Pierluigi Bologna & Maddalena Galardo, 2020. "Financial crises, macroprudential policy and the reliability of credit-to-GDP gaps," Questioni di Economia e Finanza (Occasional Papers) 567, Bank of Italy, Economic Research and International Relations Area.
    7. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    8. Mikkel Hermansen & Oliver Röhn, 2015. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Economics Department Working Papers 1250, OECD Publishing.
    9. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing Credit Gaps in CESEE Based on Levels Justified by Fundamentals – A Comparison Across Different Estimation Approaches (Mariarosaria Comunale, Markus Eller, Mathias Lahnsteiner)," Working Papers 229, Oesterreichische Nationalbank (Austrian Central Bank).
    10. Billio, Monica & Casarin, Roberto & Costola, Michele & Pasqualini, Andrea, 2016. "An entropy-based early warning indicator for systemic risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 42-59.
    11. T. Bennani & C. Couaillier & A. Devulder & S. Gabrieli & J. Idier & P. Lopez & T. Piquard & V. Scalone, 2017. "An analytical framework to calibrate macroprudential policy," Working papers 648, Banque de France.
    12. C. Bora Durdu & Alex Martin & Ilknur Zer, 2020. "The Role of US Monetary Policy in Banking Crises Across the World," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(1), pages 66-107, March.
    13. Bräuning, Michael & Malikkidou, Despo & Scricco, Giorgio & Scalone, Stefano, 2019. "A new approach to Early Warning Systems for small European banks," Working Paper Series 2348, European Central Bank.
    14. Petropoulos, Anastasios & Siakoulis, Vasilis & Stavroulakis, Evangelos & Vlachogiannakis, Nikolaos E., 2020. "Predicting bank insolvencies using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1092-1113.
    15. Cuadros-Solas, Pedro Jesús & Salvador Muñoz, Carlos, 2022. "Disentangling the sources of sovereign rating adjustments: An examination of changes in rating policies following the GFC," Research in International Business and Finance, Elsevier, vol. 59(C).
    16. Mark Joy & Marek Rusnák & Kateřina Šmídková & Bořek Vašíček, 2017. "Banking and Currency Crises: Differential Diagnostics for Developed Countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 44-67, January.
    17. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    18. Schleer, Frauke & Semmler, Willi & Illner, Julian, 2014. "Overleveraging in the banking sector: Evidence from Europe," ZEW Discussion Papers 14-066, ZEW - Leibniz Centre for European Economic Research.
    19. Paul-Olivier Klein & Rima Turk-Ariss, 2022. "Bank capital and economic activity," Post-Print hal-03955630, HAL.
    20. Hinterlang, Natascha & Hollmayr, Josef, 2022. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Journal of Macroeconomics, Elsevier, vol. 74(C).
    21. Juan Aparicio & Miguel A. Duran & Ana Lozano-Vivas & Jesus T. Pastor, 2024. "Are Charter Value and Supervision Aligned? A Segmentation Analysis," Papers 2401.12274, arXiv.org.
    22. Mathonnat, Clément & Minea, Alexandru, 2018. "Financial development and the occurrence of banking crises," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 344-354.
    23. Federica Ciocchetta & Wanda Cornacchia & Roberto Felici & Michele Loberto, 2016. "Assessing financial stability risks from the real estate market in Italy," Questioni di Economia e Finanza (Occasional Papers) 323, Bank of Italy, Economic Research and International Relations Area.
    24. Sleibi, Yacoub & Casalin, Fabrizio & Fazio, Giorgio, 2020. "Bank-specific shocks and aggregate leverage: Empirical evidence from a panel of developed countries," Journal of Financial Stability, Elsevier, vol. 49(C).
    25. Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2017. "Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model," Discussion Papers 1720, Graduate School of Economics, Kobe University.
    26. Adem Gök & Nihat Tak, 2023. "Dating Currency Crisis and Assessing the Determinants Based on Meta Fuzzy Index Functions," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1225-1250, March.
    27. Markus Holopainen & Peter Sarlin, 2017. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1933-1963, December.
    28. Pedro Guerra & Mauro Castelli, 2021. "Machine Learning Applied to Banking Supervision a Literature Review," Risks, MDPI, vol. 9(7), pages 1-24, July.
    29. Marcin Borsuk & Konrad Kostrzewa, 2020. "Miary ryzyka systemowego dla Polski. Jak ryzyko systemowe wpływa na akcję kredytową banków?," Bank i Kredyt, Narodowy Bank Polski, vol. 51(3), pages 211-238.
    30. Aida Caldera Sánchez & Alain de Serres & Filippo Gori & Mikkel Hermansen & Oliver Röhn, 2017. "Strengthening economic resilience: Insights from the post-1970 record of severe recessions and financial crises," OECD Economic Policy Papers 20, OECD Publishing.
    31. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
    32. Ekinci, Mehmet Fatih & Omay, Tolga, 2019. "Current Account and Credit Growth: The Role of Household Credit and Financial Depth," MPRA Paper 93882, University Library of Munich, Germany.
    33. Jón Daníelsson & Marcela Valenzuela & Ilknur Zer, 2016. "Learning from History : Volatility and Financial Crises," Finance and Economics Discussion Series 2016-093, Board of Governors of the Federal Reserve System (U.S.).
    34. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    35. Lagoarde-Segot, Thomas & Paranque, Bernard, 2018. "Finance and sustainability: From ideology to utopia," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 80-92.
    36. Jean-Charles Bricongne & Leonor Coutinho & Alessandro Turrini & Stefan Zeugner, 2020. "Is Private Debt Excessive?," Open Economies Review, Springer, vol. 31(2), pages 471-512, April.
    37. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2019. "Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach," Ecological Economic Papers 23, WU Vienna University of Economics and Business.
    38. Marco Pagano & Sam Langfield & Viral V. Acharya & Arnoud Boot & Markus K. Brunnermeier & Claudia Buch & Martin F. Hellwig & André Sapir & Ieke van den Burg, 2014. "Is Europe Overbanked?," Report of the Advisory Scientific Committee 4, European Systemic Risk Board.
    39. Cristina Zeldea, 2020. "Modeling the Connection between Bank Systemic Risk and Balance-Sheet Liquidity Proxies through Random Forest Regressions," Administrative Sciences, MDPI, vol. 10(3), pages 1-14, August.
    40. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
    41. Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
    42. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    43. Gimet, Céline & Lagoarde-Segot, Thomas & Reyes-Ortiz, Luis, 2019. "Financialization and the macroeconomy. Theory and empirical evidence," Economic Modelling, Elsevier, vol. 81(C), pages 89-110.
    44. Ali Awdeh, 2017. "The Determinants of Credit Growth in Lebanon," International Business Research, Canadian Center of Science and Education, vol. 10(2), pages 9-19, February.
    45. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," Working Papers halshs-03185520, HAL.
    46. Badarau, Cristina & Carias, Marcos & Figuet, Jean-Marc, 2020. "Cross-border spillovers of macroprudential policy in the Euro area," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 1-13.
    47. Jarmulska, Barbara, 2020. "Random forest versus logit models: which offers better early warning of fiscal stress?," Working Paper Series 2408, European Central Bank.
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    52. Gary Koop & Stuart McIntyre & James Mitchell, 2020. "UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 91-119, January.
    53. Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2021. "The bias and efficiency of the ECB inflation projections: A state dependent analysis," Bank of Finland Research Discussion Papers 7/2021, Bank of Finland.
    54. Goodhart, C. A. E. & Pradhan, Manoj, 2023. "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics 118680, London School of Economics and Political Science, LSE Library.
    55. Florian Huber & Luca Onorante & Michael Pfarrhofer, 2022. "Forecasting euro area inflation using a huge panel of survey expectations," Papers 2207.12225, arXiv.org.
    56. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    57. Jin-Kyu Jung & Michael Frenkel & Jan-Christoph Rülke, 2019. "On the consistency of central banks´ interest rate forecasts," Economics Bulletin, AccessEcon, vol. 39(1), pages 701-716.
    58. Carola Binder & Wesley Janson & Randal J. Verbrugge, 2019. "Thinking Outside the Box: Do SPF Respondents Have Anchored Inflation Expectations?," Working Papers 19-15, Federal Reserve Bank of Cleveland.
    59. Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    60. Paloviita, Maritta & Haavio, Markus & Jalasjoki, Pirkka & Kilponen, Juha, 2017. "What does "below, but close to, two percent" mean? Assessing the ECB's reaction function with real time data," Bank of Finland Research Discussion Papers 29/2017, Bank of Finland.
    61. Wichitaksorn, Nuttanan, 2022. "Analyzing and forecasting Thai macroeconomic data using mixed-frequency approach," Journal of Asian Economics, Elsevier, vol. 78(C).

  12. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.

    Cited by:

    1. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers 2/2019, Halle Institute for Economic Research (IWH).
    2. Kalatie, Simo & Laakkonen, Helinä & Tölö, Eero, 2015. "Indicators used in setting the countercyclical capital buffer," Bank of Finland Research Discussion Papers 8/2015, Bank of Finland.
    3. Melle Bijlsma & Jan Kakes & Eric Klaaijsen, 2017. "Measuring cross-sectoral shifts in credit provisioning: an enhanced framework," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
    4. Gaston Giordana & Michael H. Ziegelmeyer, 2022. "Using household-level data to guide borrower-based macro-prudential policy," BCL working papers 161, Central Bank of Luxembourg.
    5. Lang, Jan Hannes & Forletta, Marco, 2020. "Cyclical systemic risk and downside risks to bank profitability," Working Paper Series 2405, European Central Bank.
    6. Mikhail Mamonov & Vera Pankova & Renat Akhmetov & Anna Pestova, 2020. "Financial Shocks and Credit Cycles," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 45-74, December.
    7. Bank for International Settlements, 2016. "Experiences with the ex ante appraisal of macroprudential instruments," CGFS Papers, Bank for International Settlements, number 56, december.
    8. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    9. Xiaofeng Hui & Aoran Zhang, 2020. "Construction and Empirical Research on the Dynamic Provisioning Model of China’s Banking Sector under the Macro-Prudential Framework," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    10. Buckmann, Marcus & Gallego Marquez, Paula & Gimpelewicz, Mariana & Kapadia, Sujit & Rismanchi, Katie, 2023. "The more the merrier? Evidence on the value of multiple requirements in bank regulation," Journal of Banking & Finance, Elsevier, vol. 149(C).
    11. Giordana, Gastón A. & Pi Alperin, María Noel, 2023. "Old age takes its toll: Long-run projections of health-related public expenditure in Luxembourg," Economics & Human Biology, Elsevier, vol. 50(C).
    12. Iñaki Aldasoro & Claudio Borio & Mathias Drehmann, 2018. "Early warning indicators of banking crises: expanding the family," BIS Quarterly Review, Bank for International Settlements, March.
    13. Piergiorgio Alessandri & Pierluigi Bologna & Roberta Fiori & Enrico Sette, 2015. "A note on the implementation of the countercyclical capital buffer in Italy," Questioni di Economia e Finanza (Occasional Papers) 278, Bank of Italy, Economic Research and International Relations Area.
    14. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    15. Thibaut Duprey & Benjamin Klaus & Tuomas Peltonen, 2016. "Dating Systemic Financial Stress Episodes in the EU Countries," Staff Working Papers 16-11, Bank of Canada.
    16. Bruno De Backer & Hans Dewachter & Stijn Ferrari & Mara Pirovano & Christophe Van Nieuwenhuyze, 2016. "Credit gaps in Belgium : identification, characteristics and lessons for macroprudential policy," Financial Stability Review, National Bank of Belgium, vol. 14(1), pages 153-170, June.
    17. Federica Ciocchetta & Wanda Cornacchia & Roberto Felici & Michele Loberto, 2016. "Assessing financial stability risks from the real estate market in Italy," Questioni di Economia e Finanza (Occasional Papers) 323, Bank of Italy, Economic Research and International Relations Area.
    18. Tente, Natalia & von Westernhagen, Natalja & Slopek, Ulf, 2017. "M-PRESS-CreditRisk: A holistic micro- and macroprudential approach to capital requirements," Discussion Papers 15/2017, Deutsche Bundesbank.
    19. Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
    20. Aikman, David & Bluwstein, Kristina & Karmakar, Sudipto, 2021. "A tail of three occasionally-binding constraints: a modelling approach to GDP-at-Risk," Bank of England working papers 931, Bank of England.
    21. Jorge E. Galán & Javier Mencía, 2018. "Empirical assessment of alternative structural methods for identifying cyclical systemic risk in Europe," Working Papers 1825, Banco de España.
    22. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
    23. Yang, Jin Young & Suh, Hyunduk, 2023. "Heterogeneous effects of macroprudential policies on firm leverage and value," International Review of Financial Analysis, Elsevier, vol. 86(C).
    24. Schudel, Willem, 2015. "Shifting horizons: assessing macro trends before, during, and following systemic banking crises," Working Paper Series 1766, European Central Bank.
    25. Juan Francisco Martínez & José Miguel Matus & Daniel Oda, 2018. "Taxonomy of Chilean Financial Fragility Periods from 1975 to 2017," Working Papers Central Bank of Chile 822, Central Bank of Chile.
    26. Karlo Kauko & Eero Tölö, 2019. "Banking Crisis Prediction with Differenced Relative Credit," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 65(4), pages 277-297.
    27. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    28. Jorge E. Galán, 2019. "Measuring credit-to-gdp gaps. The hodrick-prescott filter revisited," Occasional Papers 1906, Banco de España.
    29. Bjorn Richter & Moritz Schularick & Paul Wachtel, 2018. "When to Lean Against the Wind," Working Papers 18-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    30. Natalia Tente & Natalja Von Westernhagen & Ulf Slopek, 2019. "M‐PRESS‐CreditRisk: Microprudential and Macroprudential Capital Requirements for Credit Risk under Systemic Stress," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1923-1961, October.
    31. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.
    32. Lang, Jan Hannes, 2018. "Cross-country linkages and spill-overs in early warning models for financial crises," Working Paper Series 2160, European Central Bank.
    33. Thibaut Duprey & Timothy Grieder & Dylan Hogg, 2017. "Recent Evolution of Canada’s Credit-to-GDP Gap: Measurement and Interpretation," Staff Analytical Notes 17-25, Bank of Canada.
    34. Piotr Bańbuła & Marcin Pietrzak, 2021. "Early Warning Models of Banking Crises: VIX and High Profits," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 381-403, December.
    35. André, Christophe & Caraiani, Petre & Călin, Adrian Cantemir & Gupta, Rangan, 2022. "Can monetary policy lean against housing bubbles?," Economic Modelling, Elsevier, vol. 110(C).
    36. Martin Hodula & Jan Janku & Lukas Pfeifer, 2021. "Interaction of Cyclical and Structural Systemic Risks: Insights from Around and After the Global Financial Crisis," Research and Policy Notes 2021/03, Czech National Bank.
    37. Ponomarenko, Alexey & Tatarintsev, Stas, 2023. "Incorporating financial development indicators into early warning systems," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    38. Lo Duca, Marco & Koban, Anne & Basten, Marisa & Bengtsson, Elias & Klaus, Benjamin & Kusmierczyk, Piotr & Lang, Jan Hannes & Detken, Carsten & Peltonen, Tuomas, 2017. "A new database for financial crises in European countries," Occasional Paper Series 194, European Central Bank.
    39. Juan Francisco Martínez & Daniel Oda, 2018. "Characterization of the Chilean Financial Cycle, Early Warning Indicators and Implications for Macro-Prudential Policies," Working Papers Central Bank of Chile 823, Central Bank of Chile.
    40. Tihana Skrinjaric, 2023. "Introducing a composite indicator of cyclical systemic risk in Croatia: possibilities and limitations," Public Sector Economics, Institute of Public Finance, vol. 47(1), pages 1-39.
    41. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    42. Eero Tölö & Helinä Laakkonen & Simo Kalatie, 2018. "Evaluating Indicators for Use in Setting the Countercyclical Capital Buffer," International Journal of Central Banking, International Journal of Central Banking, vol. 14(2), pages 51-112, March.
    43. Elena Deryugina & Alexey Ponomarenko, 2019. "Determination of the Current Phase of the Credit Cycle in Emerging Markets," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 28-42, June.
    44. Mikael Juselius & Nikola Tarashev, 2022. "When uncertainty decouples expected and unexpected losses," BIS Working Papers 995, Bank for International Settlements.
    45. Fendel Ralf & Stremmel Hanno, 2016. "Characteristics of Banking Crises: A Comparative Study with Geographical Contagion," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 349-388, May.
    46. Drehmann, Mathias & Juselius, Mikael & Korinek, Anton, 2017. "Accounting for debt service: The painful legacy of credit booms," Bank of Finland Research Discussion Papers 12/2017, Bank of Finland.
    47. Tran Huynh & Silke Uebelmesser, 2022. "Early warning models for systemic banking crises: can political indicators improve prediction?," Jena Economics Research Papers 2022-007, Friedrich-Schiller-University Jena.
    48. Helene Olsen & Harald Wieslander, 2020. "The Impact of Monetary Policy on Leading Variables for Financial Stability in Norway," Working Papers No 02/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    49. Lang, Jan Hannes & Welz, Peter, 2018. "Semi-structural credit gap estimation," Working Paper Series 2194, European Central Bank.
    50. Daragh Clancy & Lorenzo Ricci, 2019. "Loss aversion, economic sentiments and international consumption smoothing," Working Papers 35, European Stability Mechanism.
    51. Juselius, Mikael & Tarashev, Nikola A., 2020. "Forecasting expected and unexpected losses," Bank of Finland Research Discussion Papers 18/2020, Bank of Finland.
    52. Tibor Szendrei & Katalin Varga, 2020. "FISS – A Factor-based Index of Systemic Stress in the Financial System," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 3-34, March.
    53. Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    54. Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
    55. Gaston Giordana & Sabbah Gueddoudj, 2016. "Characterising the financial cycle in Luxembourg," BCL working papers 103, Central Bank of Luxembourg.
    56. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
    57. Neagu, Florian & Tatarici, Luminita & Mihai, Irina, 2015. "Implementing Loan-to-Value and Debt Service-To-Income measures: A decade of Romanian experience," MPRA Paper 65988, University Library of Munich, Germany.
    58. Christian Castro & Ángel Estrada & Jorge Martínez, 2016. "The countercyclical capital buffer in spain: an analysis of key guiding indicators," Working Papers 1601, Banco de España.
    59. Dutra, Tiago Mota & Dias, José Carlos & Teixeira, João C.A., 2022. "Measuring financial cycles: Empirical evidence for Germany, United Kingdom and United States of America," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 599-630.
    60. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    61. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    62. Marcin Pietrzak, 2021. "Can Financial Soundness Indicators Help Predict Financial Sector Distress?," IMF Working Papers 2021/197, International Monetary Fund.
    63. Hosszú, Zsuzsanna & Körmendi, Gyöngyi & Mérő, Bence, 2016. "Egy- és többváltozós szűrők a hitelrés alakulásának meghatározására [Filters with single or multiple variables in measuring the size of the credit gap]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 233-259.
    64. Claudio Borio & Mathias Drehmann & Dora Xia Author-X-Name_First: Dora, 2019. "Predicting recessions: financial cycle versus term spread," BIS Working Papers 818, Bank for International Settlements.
    65. V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.
    66. Bernhard Herz & Jochen Keller, 2023. "How Do Regulators Set the Countercyclical Capital Buffer?," International Journal of Central Banking, International Journal of Central Banking, vol. 19(3), pages 99-137, August.
    67. Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
    68. Felipe Clavijo Ramírez & Jorge Luis Hurtado Guarín & Oscar Fernando Jaulín Méndez & Javier Pirateque Niño, 2016. "El requerimiento de capital contracíclico en Colombia," Borradores de Economia 963, Banco de la Republica de Colombia.
    69. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
    70. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
    71. Pierluigi Bologna & Maddalena Galardo, 2022. "Calibrating the countercyclical capital buffer for Italy," Questioni di Economia e Finanza (Occasional Papers) 679, Bank of Italy, Economic Research and International Relations Area.
    72. Cabral, Inês & Detken, Carsten & Fell, John & Henry, Jérôme & Hiebert, Paul & Kapadia, Sujit & Pires, Fatima & Salleo, Carmelo & Constâncio, Vítor & Nicoletti Altimari, Sergio, 2019. "Macroprudential policy at the ECB: Institutional framework, strategy, analytical tools and policies," Occasional Paper Series 227, European Central Bank.
    73. Bianchi, Benedetta, 2018. "Structural credit ratios," ESRB Working Paper Series 85, European Systemic Risk Board.

  13. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2009. "Estimation and forecasting in large datasets with conditionally heteroskedastic dynamic common factors," Working Paper Series 1115, European Central Bank.

    Cited by:

    1. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    2. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    3. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    4. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    5. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    6. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    7. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    8. Marc Hallin & Charles Mathias & Hugues Pirotte & David Veredas, 2011. "Market liquidity as dynamic factors," Working Papers ECARES 163, 42-50, ULB -- Universite Libre de Bruxelles.
    9. Aramonte, Sirio & Giudice Rodriguez, Marius del & Wu, Jason, 2013. "Dynamic factor Value-at-Risk for large heteroskedastic portfolios," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4299-4309.
    10. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    11. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    12. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    13. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.

  14. Detken, Carsten & Alessi, Lucia, 2009. "'Real time'early warning indicators for costly asset price boom/bust cycles: a role for global liquidity," Working Paper Series 1039, European Central Bank.

    Cited by:

    1. Svatopluk Kapounek & Jana Kralova, 2014. "Financial Instability and Money Velocity - Evidence from the Financial Crisis," MENDELU Working Papers in Business and Economics 2014-44, Mendel University in Brno, Faculty of Business and Economics.
    2. Reimers, Hans-Eggert, 2012. "Early warning indicator model of financial developments using an ordered logit," Wismar Discussion Papers 06/2012, Hochschule Wismar, Wismar Business School.
    3. Douglas Sutherland & Peter Hoeller & Balázs Égert & Oliver Röhn, 2010. "Counter-cyclical Economic Policy," OECD Economics Department Working Papers 760, OECD Publishing.
    4. Daniela Marchettini & Mr. Rodolfo Maino, 2015. "Systemic Risk Assessment in Low Income Countries: Balancing Financial Stability and Development," IMF Working Papers 2015/190, International Monetary Fund.
    5. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
    6. Qin, Duo & He, Xinhua, 2012. "Modelling the impact of aggregate financial shocks external to the Chinese economy," BOFIT Discussion Papers 25/2012, Bank of Finland Institute for Emerging Economies (BOFIT).
    7. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    8. Judith Eidenberger & Benjamin Neudorfer & Michael Sigmund & Ingrid Stein, 2013. "Quantifying Financial Stability in Austria, New Tools for Macroprudential Supervision," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 26, pages 62-81.
    9. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, December.
    10. Nikolov, Kalin & Aoki, Kosuke, 2012. "Bubbles, banks and financial stability," Working Paper Series 1495, European Central Bank.
    11. Bank for International Settlements, 2011. "Global liquidity - concept, measurement and policy implications," CGFS Papers, Bank for International Settlements, number 45, december.
    12. Claudio BorioBy & Piti Disyatat & Mikael Juselius, 2017. "Rethinking potential output: embedding information about the financial cycle," Oxford Economic Papers, Oxford University Press, vol. 69(3), pages 655-677.
    13. Ali Namaki & Reza Eyvazloo & Shahin Ramtinnia, 2023. "A systematic review of early warning systems in finance," Papers 2310.00490, arXiv.org.
    14. Helmut Herwartz & Konstantin A. Kholodilin, 2011. "In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence," Discussion Papers of DIW Berlin 1173, DIW Berlin, German Institute for Economic Research.
    15. Bunda, Irina & Ca' Zorzi, Michele, 2009. "Signals from housing and lending booms," Working Paper Series 1094, European Central Bank.
    16. Jean‐Claude Trichet, 2010. "State of the Union: The Financial Crisis and the ECB's Response between 2007 and 2009," Journal of Common Market Studies, Wiley Blackwell, vol. 48(s1), pages 7-19, September.
    17. Yong Ma & Yulu Chen, 2014. "Financial Imbalance Index as a New Early Warning Indicator: Methods and Applications in the Chinese Economy," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(6), pages 64-86, November.
    18. Lubos Komarek & Ivana Kubicová, 2011. "The Classification and Identification of Asset Price Bubbles," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(1), pages 34-48, January.
    19. Malgorzata A. Olszak & Mateusz Pipien, 2013. "Cross country linkages as determinants of procyclicality of loan loss provisions – empirical importance of SURE specification," Faculty of Management Working Paper Series 22013, University of Warsaw, Faculty of Management.
    20. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2012. "Characterising the financial cycle: don't lose sight of the medium term!," BIS Working Papers 380, Bank for International Settlements.
    21. Kelly, Robert & McQuinn, Kieran & Stuart, Rebecca, 2011. "Exploring the Steady-State Relationship between Credit and GDP for a Small Open Economy - The Case of Ireland," Research Technical Papers 1/RT/11, Central Bank of Ireland.
    22. Angeloni, Ignazio & Faia, Ester & Lo Duca, Marco, 2015. "Monetary policy and risk taking," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 285-307.
    23. Claudio Borio, 2011. "Rediscovering the Macroeconomic Roots of Financial Stability Policy: Journey, Challenges, and a Way Forward," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 87-117, December.
    24. Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    25. Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong, 2013. "Policy in adaptive financial markets—the use of systemic risk early warning tools," Working Papers (Old Series) 1309, Federal Reserve Bank of Cleveland.
    26. Francesco Simone Lucidi, 2019. "Real-time signals anticipating credit booms in Euro Area countries," Working Papers in Public Economics 189, University of Rome La Sapienza, Department of Economics and Law.
    27. Marcin Łupiński, 2013. "Statistical Data and Models Used for Analysis and Management of Financial Stability at the Macro Level," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 32.
    28. Petr Jakubík & Tomáš Slacík, 2013. "Measuring Financial (In)Stability in Emerging Europe: A New Index-Based Approach," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 25, pages 102-117.
    29. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    30. Catullo, Ermanno & Gallegati, Mauro & Palestrini, Antonio, 2015. "Towards a credit network based early warning indicator for crises," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 78-97.
    31. Malgorzata Olszak, 2012. "Macroprudential policy - aim, instruments and institutional architecture (Polityka ostroznosciowa w ujêciu makro - cel, instrumenty i architektura instytucjonalna)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 10(39), pages 7-32.
    32. Kim Ristolainen, 2015. "Were the Scandinavian Banking Crises Predictable? A Neural Network Approach," Discussion Papers 99, Aboa Centre for Economics.
    33. Akosah, Nana & Loloh, Francis & Lawson, Natalia & Kumah, Claudia, 2018. "Measuring Financial Stability in Ghana: A New Index-Based Approach," MPRA Paper 86634, University Library of Munich, Germany.
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    65. Beau, D. & Clerc, L. & Mojon, B., 2011. "Macro-prudential policy and the conduct of monetary policy," Occasional papers 8, Banque de France.
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    67. Bryan Ball & Mark D. Flood & H.V. Jagadish & Joe Langsam & Louiqa Raschid & Peratham Wiriyathammabhum, 2014. "A Flexible and Extensible Contract Aggregation Framework for Financial Data Stream Analytics," Staff Discussion Papers 14-03, Office of Financial Research, US Department of the Treasury.
    68. Carolina Arteaga cabrales & Carlos Huertas Campos & Sergio Olarte Armenta, 2012. "Índice de Desbalance Macroeconómico," Borradores de Economia 744, Banco de la Republica de Colombia.
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    71. Sylvester Eijffinger, 2011. "Defining and Measuring Systemic Risk," Chapters, in: Sylvester Eijffinger & Donato Masciandaro (ed.), Handbook of Central Banking, Financial Regulation and Supervision, chapter 11, Edward Elgar Publishing.
    72. Musso, Alberto & Neri, Stefano & Stracca, Livio, 2010. "Housing, consumption and monetary policy: how different are the US and the euro area?," Working Paper Series 1161, European Central Bank.
    73. Koivu, Tuuli, 2012. "Monetary policy, asset prices and consumption in China," Economic Systems, Elsevier, vol. 36(2), pages 307-325.
    74. Claudio Borio & Robert McCauley & Patrick McGuire, 2011. "Global credit and domestic credit booms," BIS Quarterly Review, Bank for International Settlements, September.
    75. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    76. Luiz Awazu Pereira da Silva & Ricardo Eyer Harris, 2012. "Financial Stability in Brazil," Working Papers Series 289, Central Bank of Brazil, Research Department.
    77. Otmar Issing, 2011. "Lessons for monetary policy: what should the consensus be?," Globalization Institute Working Papers 81, Federal Reserve Bank of Dallas.
    78. Seo Joon Choi & Kanghyun Kim & Sunyoung Park, 2020. "Is systemic risk systematic? Evidence from the U.S. stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 642-663, October.
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    80. Harri Kemp, 2014. "Measuring potential output for the South African economy: Embedding information about the financial cycle," Working Papers 03/2014, Stellenbosch University, Department of Economics.
    81. Gernát, Peter & Košťálová, Zuzana & Lyócsa, Štefan, 2020. "What drives U.S. financial sector volatility? A Bayesian model averaging perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
    82. Dungey, Mardi & Islam, Raisul & Volkov, Vladimir, 2019. "Crisis transmission: visualizing vulnerability," Working Papers 2019-07, University of Tasmania, Tasmanian School of Business and Economics.
    83. Donal Smith, 2016. "The International Impact of Financial Shocks: A Global VAR and Connectedness Measures Approach," Discussion Papers 16/07, Department of Economics, University of York.
    84. Martin Mandler & Michael Scharnagl, 2022. "Financial Cycles in Euro Area Economies: A Cross‐Country Perspective Using Wavelet Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 569-593, June.
    85. Claudio Borio, 2014. "The financial cycle and macroeconomics: what have we learned and what are the policy implications?," Chapters, in: Ewald Nowotny & Doris Ritzberger-Grünwald & Peter Backé (ed.), Financial Cycles and the Real Economy, chapter 2, pages 10-35, Edward Elgar Publishing.
    86. Eidenberger, Judith & Neudorfer, Benjamin & Sigmund, Michael & Stein, Ingrid, 2014. "What predicts financial (in)stability? A Bayesian approach," Discussion Papers 36/2014, Deutsche Bundesbank.
    87. Ellis, Scott & Sharma, Satish & Brzeszczyński, Janusz, 2022. "Systemic risk measures and regulatory challenges," Journal of Financial Stability, Elsevier, vol. 61(C).
    88. Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    89. Frank Moss, 2012. "The sustainability of the catching-up process – a multidimensional take," Chapters, in: Ewald Nowotny & Peter Mooslechner & Doris Ritzberger-Grünwald (ed.), European Integration in a Global Economy, chapter 16, pages 177-186, Edward Elgar Publishing.
    90. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    91. Jean-Claude Trichet, 2009. "Credible alertness revisited," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 437-460.
    92. Issing, Otmar, 2011. "Lessons for monetary policy: What should the consensus be?," CFS Working Paper Series 2011/13, Center for Financial Studies (CFS).
    93. Kaushik Jayaram & Blaise Gadanecz, 2016. "Macroprudential policy frameworks, instruments and indicators: a review," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41, Bank for International Settlements.
    94. Karl Whelan, 2009. "Containing Systemic Risk," Working Papers 200927, School of Economics, University College Dublin.
    95. Issing, Otmar, 2013. "A new paradigm for monetary policy?," CFS Working Paper Series 2013/02, Center for Financial Studies (CFS).
    96. Mandler, Martin & Scharnagl, Michael, 2022. "Financial cycles across G7 economies: A view from wavelet analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    97. Carolina Arteaga & Carlos Huertas Campos & Sergio Olarte Armenta, 2012. "Índice de Desbalance Macroeconómico," Borradores de Economia 10077, Banco de la Republica.
    98. Peter Spahn, 2010. "Asset Prices, Inflation and Monetary Control - Re-inventing Money as a Policy Tool," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 323/2010, Department of Economics, University of Hohenheim, Germany.
    99. Marco Lo Duca & Tuomas Peltonen, 2011. "Macrofinancial vulnerabilities and future financial stress: assessing systemic risks and predicting systemic events," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential regulation and policy, volume 60, pages 82-88, Bank for International Settlements.
    100. Bussière, M., 2013. "In Defense of Early Warning Signals," Working papers 420, Banque de France.
    101. Mr. Otmar Issing, 2011. "Lessons for Monetary Policy: What Should the Consensus Be?," IMF Working Papers 2011/097, International Monetary Fund.
    102. Bradley Jones, 2014. "Identifying Speculative Bubbles: A Two-Pillar Surveillance Framework," IMF Working Papers 2014/208, International Monetary Fund.
    103. Bracke, Thierry & Fidora, Michael, 2012. "The macro-financial factors behind the crisis: Global liquidity glut or global savings glut?," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 185-202.
    104. Lukas Scheffknecht, 2013. "Contextualizing Systemic Risk," ROME Working Papers 201317, ROME Network.
    105. Christophe André, 2016. "Household debt in OECD countries: stylised facts and policy issues," Chapters from NBP Conference Publications, in: Hanna Augustyniak & Jacek Łaszek & Krzysztof Olszewski & Joanna Waszczuk (ed.), Papers presented during the Narodowy Bank Polski Workshop: Recent trends in the real estate market and its analysis - 2015 edition, chapter 2, pages v1, 33-85, Narodowy Bank Polski.
    106. Koivu, Tuuli, 2012. "Monetary policy in transition: Essays on monetary policy transmission mechanism in China," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2012_046.
    107. Borio Claudio, 2011. "Implementing a Macroprudential Framework: Blending Boldness and Realism," Capitalism and Society, De Gruyter, vol. 6(1), pages 1-25, August.
    108. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.
    109. Adél Bosch & Steven F. Koch, 2020. "The South African Financial Cycle and its Relation to Household Deleveraging," South African Journal of Economics, Economic Society of South Africa, vol. 88(2), pages 145-173, June.
    110. Mercè Sala-Rios & Teresa Torres-Solé & Mariona Farré-Perdiguer, 2016. "Credit and business cycles’ relationship: evidence from Spain," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(3), pages 149-171, December.
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    113. Koong, Seow Shin & Law, Siong Hook & Ibrahim, Mansor H., 2017. "Credit expansion and financial stability in Malaysia," Economic Modelling, Elsevier, vol. 61(C), pages 339-350.
    114. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
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    116. José Manuel González-Páramo, 2009. "Financial market failures and public policies," Hacienda Pública Española / Review of Public Economics, IEF, vol. 190(3), pages 127-156, September.
    117. Kamila Sommer, 2014. "Fertility Choice in a Life Cycle Model with Idiosyncratic Uninsurable Earnings Risk," Finance and Economics Discussion Series 2014-32, Board of Governors of the Federal Reserve System (U.S.).
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  15. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2009. "The distribution of households consumption-expenditure budget shares," Working Paper Series 1061, European Central Bank.

    Cited by:

    1. Joachim Kaldasch, 2012. "Evolutionary Model of the Personal Income Distribution," Papers 1203.6507, arXiv.org.
    2. Mien, Toh Siaw & Said, Rusmawati, 2018. "A Cross-sectional Household Analysis of Household Consumption Patterns: An Indirect Approach to Identify the Possible Factors of Personal Bankruptcy," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(3), pages 231-246.
    3. Yu, Jian & Shi, Xunpeng & Cheong, Tsun Se, 2021. "Distribution dynamics of China's household consumption upgrading," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 193-203.
    4. Stefano Marchetti & Caterina Giusti & Monica Pratesi, 2016. "The use of Twitter data to improve small area estimates of households’ share of food consumption expenditure in Italy [Die Nutzung von Twitter Daten um die Small Area Schätzungen vom Ausgabenanteil," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 79-93, October.
    5. Ioannis Kostakis & Dimitrios Paparas & Anna Saiti & Stamatina Papadaki, 2020. "Food Consumption within Greek Households: Further Evidence from a National Representative Sample," Economies, MDPI, vol. 8(1), pages 1-18, February.
    6. Voytenkov, Valentin & Demidova, Olga, 2023. "Impact of COVID-19 on household consumption in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 72, pages 73-99.
    7. Iwona Bak & Beata Szczecinska, 2021. "Economic Aspects of Population Aging. Modeling Senior Household Ependiture," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 50-67.

  16. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "Forecasting Large Datasets with Conditionally Heteroskedastic Dynamic Common Factors," Working Papers ECARES 2009_005, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    3. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    4. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    5. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    6. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    7. Marc Hallin & Charles Mathias & Hugues Pirotte & David Veredas, 2011. "Market liquidity as dynamic factors," Working Papers ECARES 163, 42-50, ULB -- Universite Libre de Bruxelles.
    8. Aramonte, Sirio & Giudice Rodriguez, Marius del & Wu, Jason, 2013. "Dynamic factor Value-at-Risk for large heteroskedastic portfolios," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4299-4309.
    9. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    10. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    11. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    12. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.

  17. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "A Robust Criterion for Determining the Number of Factors in Approximate Factor Models," Working Papers ECARES 2009_023, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Juan José Echavarría & Andrés gonzález & Enrique López & Norberto Rodríguez, 2012. "Choques internacionales reales y financieros y su impacto sobre la economía colombiana," Borradores de Economia 9884, Banco de la Republica.
    2. Xisong Jin, 2018. "How much does book value data tell us about systemic risk and its interactions with the macroeconomy? A Luxembourg empirical evaluation," BCL working papers 118, Central Bank of Luxembourg.
    3. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    4. Xisong Jin & Francisco Nadal De Simone, 2017. "Systemic Financial Sector and Sovereign Risks," BCL working papers 109, Central Bank of Luxembourg.
    5. Travaglini, Guido, 2011. "Principal Components and Factor Analysis. A Comparative Study," MPRA Paper 35486, University Library of Munich, Germany.
    6. Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017. "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, vol. 66(C), pages 132-138.
    7. Fernando tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2011. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Borradores de Economia 684, Banco de la Republica de Colombia.
    8. Fernando Tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2012. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(69), pages 195-256, December.
    9. Xisong Jin & Francisco Nadal De Simone, 2015. "Investment funds? vulnerabilities: A tail-risk dynamic CIMDO approach," BCL working papers 95, Central Bank of Luxembourg.
    10. Jin, Xisong & Nadal De Simone, Francisco, 2014. "A framework for tracking changes in the intensity of investment funds' systemic risk," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 343-368.
    11. Xisong Jin & Francisco Nadal De Simone, 2016. "Tracking Changes in the Intensity of Financial Sector's Systemic Risk," BCL working papers 102, Central Bank of Luxembourg.

  18. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2007. "On the distributional properties of household consumption expenditures. The case of Italy," LEM Papers Series 2007/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    2. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.
    3. Ellis Scharfenaker, 2019. "Implications of Quantal Response Statistical Equilibrium," Working Paper Series, Department of Economics, University of Utah 2019_07, University of Utah, Department of Economics.
    4. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.
    5. Mundt, Philipp & Oh, Ilfan, 2019. "Asymmetric competition, risk, and return distribution," Economics Letters, Elsevier, vol. 179(C), pages 29-32.
    6. Alfarano, Simone & Milaković, Mishael & Irle, Albrecht & Kauschke, Jonas, 2012. "A statistical equilibrium model of competitive firms," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 136-149.
    7. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2020. "Exploiting ergodicity in forecasts of corporate profitability," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    8. Chatterjee, Arnab & Chakrabarti, Anindya S. & Ghosh, Asim & Chakraborti, Anirban & Nandi, Tushar K., 2016. "Invariant features of spatial inequality in consumption: The case of India," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 169-181.
    9. Matteo Barigozzi & Biagio Speciale, 2009. "Immigrant’s legal status, permanence in the destination country and the distribution of consumption expenditure," Working Papers ECARES 2009_019, ULB -- Universite Libre de Bruxelles.
    10. Matteo Barigozzi & Lucia Alessi & Marco Capasso & Giorgio Fagiolo, 2008. "The Distribution of Consumption-Expenditure Budget Shares. Evidence from Italian Households," LEM Papers Series 2008/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. David S. Bieri & Casey J. Dawkins, 2019. "Amenities, affordability, and housing vouchers," Journal of Regional Science, Wiley Blackwell, vol. 59(1), pages 56-82, January.

  19. Marco Capasso & Lucia Alessi & Matteo Barigozzi & Giorgio Fagiolo, 2007. "On approximating the distributions of goodness-of-fit test statistics based on the empirical distribution function: The case of unknown parameters," LEM Papers Series 2007/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Matthias Duschl & Thomas Brenner, 2013. "Characteristics of regional industry-specific employment growth rates' distributions," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 249-270, June.
    2. Giuricich, Mario Nicoló & Burnecki, Krzysztof, 2019. "Modelling of left-truncated heavy-tailed data with application to catastrophe bond pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 498-513.
    3. Giorgio Fagiolo & Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2010. "On the distributional properties of household consumption expenditures: the case of Italy," Empirical Economics, Springer, vol. 38(3), pages 717-741, June.
    4. Iván Blanco, Juan Ignacio Peña, and Rosa Rodriguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    5. Lunardi, José T. & Miccichè, Salvatore & Lillo, Fabrizio & Mantegna, Rosario N. & Gallegati, Mauro, 2014. "Do firms share the same functional form of their growth rate distribution? A statistical test," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 140-164.

  20. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2007. "A Robust Criterion for Determining the Number of Static Factors in Approximate Factor Models," LEM Papers Series 2007/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Juan José Echavarría & Andrés gonzález & Enrique López & Norberto Rodríguez, 2012. "Choques internacionales reales y financieros y su impacto sobre la economía colombiana," Borradores de Economia 9884, Banco de la Republica.
    2. Jin, Xisong & Nadal De Simone, Francisco, 2020. "Monetary policy and systemic risk-taking in the Euro area investment fund industry: A structural factor-augmented vector autoregression analysis," Journal of Financial Stability, Elsevier, vol. 49(C).
    3. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    4. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    5. Le, Vu & Wang, Qing, 2014. "Robust thresholding for Diffusion Index forecast," Economics Letters, Elsevier, vol. 125(1), pages 52-56.
    6. Alain Kabundi & Francisco Nadal De Simone, 2011. "France in the global economy: a structural approximate dynamic factor model analysis," Empirical Economics, Springer, vol. 41(2), pages 311-342, October.
    7. Vedolin, Andrea, 2012. "Uncertainty and leveraged Lucas Trees: the cross section of equilibrium volatility risk premia," LSE Research Online Documents on Economics 43091, London School of Economics and Political Science, LSE Library.
    8. Alain Kabundi & Tumisang Loate & Nicola Viegi, 2020. "Spillovers of the Conventional and Unconventional Monetary Policy from the US to South Africa," Working Papers 202033, University of Pretoria, Department of Economics.
    9. Ali Babikir & Henry Mwambi, 2016. "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, vol. 51(4), pages 1541-1556, December.
    10. Christian Menden & Christian R. Proaño, 2017. "Dissecting the financial cycle with dynamic factor models," IMK Working Paper 183-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    11. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2012. "Dynamic factor models with macro, frailty and industry effects for US default counts: the credit crisis of 2008," Working Paper Series 1459, European Central Bank.
    13. Gao, Quansheng & Hu, Chengjun, 2009. "Dynamic mortality factor model with conditional heteroskedasticity," Insurance: Mathematics and Economics, Elsevier, vol. 45(3), pages 410-423, December.
    14. Fernando tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2011. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Borradores de Economia 684, Banco de la Republica de Colombia.
    15. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.
    16. Dzhamilya Abuzyarova & Veronika Belousova & Zhaklin Krayushkina & Yulia Lonshcikova & Ekaterina Nikiforova & Nikolay Chichkanov, 2019. "The Role of Human Capital in Science, Technology and Innovation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(2), pages 107-119.
    17. Pallara, Kevin, 2016. "The dynamic effects of government spending: a FAVAR approach," MPRA Paper 92283, University Library of Munich, Germany.
    18. Fernando Tenjo Galarza & Enrique López E. & Diego H. Rodríguez H., 2012. "El canal de préstamos de la política monetaria en Colombia. Un enfoque FAVAR," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(69), pages 195-256, December.
    19. Mohan Subbiah & Frank J Fabozzi, 2016. "Equity style allocation: A nonparametric approach," Journal of Asset Management, Palgrave Macmillan, vol. 17(3), pages 141-164, May.

  21. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2007. "A Review of Nonfundamentalness and Identification in Structural VAR Models," LEM Papers Series 2007/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    2. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    3. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2010. "Dynamic Macroeconomic Effects of Public Capital: Evidence from Regional Italian Data," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 69(1), pages 29-66, April.
    4. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    5. Helmut Lütkepohl, 2012. "Fundamental Problems with Nonfundamental Shocks," Discussion Papers of DIW Berlin 1230, DIW Berlin, German Institute for Economic Research.
    6. Lanne, Markku & Saikkonen, Pentti, 2010. "Noncausal Vector Autoregression," MPRA Paper 23717, University Library of Munich, Germany.
    7. Fève, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," TSE Working Papers 12-287, Toulouse School of Economics (TSE).
    8. Johannes Hermanus Kemp, 2020. "Empirical estimates of fiscal multipliers for South Africa," WIDER Working Paper Series wp-2020-91, World Institute for Development Economic Research (UNU-WIDER).
    9. Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," Papers 2306.14653, arXiv.org, revised Jan 2024.

  22. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Generalized Dynamic Factor Model + GARCH Exploiting Multivariate Information for Univariate Prediction," LEM Papers Series 2006/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    2. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.
    3. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Dynamic Factor GARCH: Multivariate Volatility Forecast for a Large Number of Series," LEM Papers Series 2006/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  23. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "A Dynamic Factor Analysis of Business Cycle on Firm-Level Data," LEM Papers Series 2006/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Antonio Palestrini, 2008. "Common Components in Firms' Growth and the Sectors Scaling Puzzle," Economics Bulletin, AccessEcon, vol. 12(35), pages 1-8.
    2. Gallegati, M. & Palestrini, A., 2010. "The complex behavior of firms' size dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(1), pages 69-76, July.

  24. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Dynamic Factor GARCH: Multivariate Volatility Forecast for a Large Number of Series," LEM Papers Series 2006/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. García-Ferrer, Antonio & González-Prieto, Ester & Peña, Daniel, 2008. "A multivariate generalized independent factor GARCH model with an application to financial stock returns," DES - Working Papers. Statistics and Econometrics. WS ws087528, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Lasse BORK & Hans DEWACHTER & Romain HOUSSA, 2009. "Identification of macroeconomic factors in large panels," Working Papers of Department of Economics, Leuven ces09.18, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    3. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2008. "A robust criterion for determining the number of static factors in approximate factor models," Working Paper Series 903, European Central Bank.
    4. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    6. Gao, Quansheng & Hu, Chengjun, 2009. "Dynamic mortality factor model with conditional heteroskedasticity," Insurance: Mathematics and Economics, Elsevier, vol. 45(3), pages 410-423, December.
    7. Xisong Jin & Francisco Nadal De Simone, 2012. "An Early-warning and Dynamic Forecasting Framework of Default Probabilities for the Macroprudential Policy Indicators Arsenal," BCL working papers 75, Central Bank of Luxembourg.
    8. García-Ferrer, Antonio & González-Prieto, Ester & Peña, Daniel, 2012. "A conditionally heteroskedastic independent factor model with an application to financial stock returns," International Journal of Forecasting, Elsevier, vol. 28(1), pages 70-93.

Articles

  1. Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2021. "What greenium matters in the stock market? The role of greenhouse gas emissions and environmental disclosures," Journal of Financial Stability, Elsevier, vol. 54(C).

    Cited by:

    1. Ricardo Gimeno & Clara I. González, 2022. "The role of a green factor in stock prices. When Fama & French go green," Working Papers 2207, Banco de España.
    2. Elettra Agliardi & Rossella Agliardi, 2021. "Corporate Green Bonds: Understanding the Greenium in a Two-Factor Structural Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(2), pages 257-278, October.
    3. Erli Dan & Jianfei Shen & Xinyuan Zheng & Peng Liu & Ludan Zhang & Feiyu Chen, 2023. "Asset Structure, Asset Utilization Efficiency, and Carbon Emission Performance: Evidence from Panel Data of China’s Low-Carbon Industry," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    4. Nuno Cassola & Claudio Morana & Elisa Ossola, 2023. "Green risk in Europe," Working Paper series 23-14, Rimini Centre for Economic Analysis.
    5. Ramelli, Stefano & Ossola, Elisa & Rancan, Michela, 2021. "Stock price effects of climate activism: Evidence from the first Global Climate Strike," Journal of Corporate Finance, Elsevier, vol. 69(C).
    6. Siddhartha P. Chakrabarty & Suryadeepto Nag, 2023. "Risk measures and portfolio analysis in the paradigm of climate finance: a review," SN Business & Economics, Springer, vol. 3(3), pages 1-22, March.
    7. Andrea Ugolini & Juan C. Reboredo & Javier Ojea Ferreiro, 2023. "Is Climate Transition Risk Priced into Corporate Credit Risk? Evidence from Credit Default Swaps," Staff Working Papers 23-38, Bank of Canada.
    8. Philippe Loyson & Rianne Luijendijk & Sweder van Wijnbergen, 2023. "The pricing of climate transition risk in Europe’s equity market," Tinbergen Institute Discussion Papers 23-041/IV, Tinbergen Institute.
    9. Alessi, Lucia & Battiston, Stefano, 2021. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," Working Papers 2021-14, Joint Research Centre, European Commission.
    10. Fiordelisi, Franco & Ricci, Ornella & Santilli, Gianluca, 2023. "Environmental engagement and stock price crash risk: Evidence from the European banking industry," International Review of Financial Analysis, Elsevier, vol. 88(C).
    11. Reboredo, Juan C. & Ugolini, Andrea & Ojea-Ferreiro, Javier, 2022. "Do green bonds de-risk investment in low-carbon stocks?," Economic Modelling, Elsevier, vol. 108(C).
    12. Douglas A. Adu & Basil Al‐Najjar & Thitima Sitthipongpanich, 2022. "Executive compensation, environmental performance, and sustainable banking: The moderating effect of governance mechanisms," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1439-1463, May.
    13. Danilo Liberati & Giuseppe Marinelli, 2024. "Was Covid-19 a wake-up call on climate risks? Evidence from the greenium," Questioni di Economia e Finanza (Occasional Papers) 832, Bank of Italy, Economic Research and International Relations Area.
    14. Wu, Gabriel Shui Tang & Wan, Wilson Tsz Shing, 2023. "What drives the cross-border spillover of climate transition risks? Evidence from global stock markets," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 432-447.
    15. Gong, Xu & Fu, Chengbo & Huang, Qiping & Lin, Meimei, 2022. "International political uncertainty and climate risk in the stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    16. Eduardo C. Garrido-Merch'an & Gabriel Gonz'alez Piris & Maria Coronado Vaca, 2023. "Bayesian Optimization of ESG Financial Investments," Papers 2303.01485, arXiv.org.
    17. Erli Dan & Jianfei Shen & Yiwei Guo, 2023. "Corporate Sustainable Growth, Carbon Performance, and Voluntary Carbon Information Disclosure: New Panel Data Evidence for Chinese Listed Companies," Sustainability, MDPI, vol. 15(5), pages 1-27, March.
    18. Boneva, Lena & Ferrucci, Gianluigi & Mongelli, Francesco Paolo, 2021. "To be or not to be “green”: how can monetary policy react to climate change?," Occasional Paper Series 285, European Central Bank.
    19. Reboredo, Juan C. & Ugolini, Andrea, 2022. "Climate transition risk, profitability and stock prices," International Review of Financial Analysis, Elsevier, vol. 83(C).
    20. Philippe Loyson & Rianne Luijendijk & Sweder van Wijnbergen, 2023. "The pricing of climate transition risk in Europe’s equity market," Working Papers 788, DNB.
    21. Namasi G. Sankar & Suryadeepto Nag & Siddhartha P. Chakrabarty & Sankarshan Basu, 2024. "The Carbon Premium: Correlation or Causation? Evidence from S&P 500 Companies," Papers 2401.16455, arXiv.org.
    22. Javier Amores‐Salvadó & Gregorio Martin‐de Castro & Elisabeth Albertini, 2023. "Walking the talk, but above all, talking the walk: Looking green for market stakeholder engagement," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(1), pages 431-442, January.
    23. Greppmair, Stefan & Jank, Stephan & Smajlbegovic, Esad, 2023. "On the importance of fiscal space: Evidence from short sellers during the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 147(C).
    24. Gianni Guastella & Stefano Pareglio & Caterina Schiavoni, 2023. "An Empirical Approach to Integrating Climate Reputational Risk in Long-Term Scenario Analysis," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    25. Zanin, Luca, 2023. "A flexible estimation of sectoral portfolio exposure to climate transition risks in the European stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    26. Wei Qiu & Yinghua Li & Haitao Wu, 2023. "The role of direct financing on regional green development: inhibition or promotion?," Economic Change and Restructuring, Springer, vol. 56(5), pages 3665-3699, October.
    27. Becchetti, Leonardo & Cucinelli, Doriana & Ielasi, Federica & Rossolini, Monica, 2023. "Corporate social irresponsibility: The relationship between ESG misconduct and the cost of equity," International Review of Financial Analysis, Elsevier, vol. 89(C).
    28. Benjamin Dennis, 2022. "Climate Change and Financial Policy: A Literature Review," Finance and Economics Discussion Series 2022-048, Board of Governors of the Federal Reserve System (U.S.).
    29. Adu, Douglas A. & Abedin, Mohammad Zoynul & Hasan, Mudassar, 2023. "Bank ownership structures and sustainable banking initiatives: The moderating effect of governance mechanism," International Review of Financial Analysis, Elsevier, vol. 89(C).
    30. Shinu Vig, 2024. "Environmental disclosures by Indian companies: role of board characteristics and board effectiveness," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 21(1), pages 16-31, March.
    31. Javier Amores‐salvadó & Gregorio Martin‐de Castro & Elisabeth Albertini, 2022. "Walking the talk, but above all, talking the walk: Looking green for market stakeholder engagement," Post-Print halshs-03760088, HAL.
    32. Thomas Cauthorn & Christian Klein & Leonard Remme & Bernhard Zwergel, 2023. "Portfolio benefits of taxonomy orientated and renewable European electric utilities," Journal of Asset Management, Palgrave Macmillan, vol. 24(7), pages 558-571, December.
    33. Becchetti, Leonardo & Manfredonia, Stefano, 2022. "Media, reputational risk, and bank loan contracting," Journal of Financial Stability, Elsevier, vol. 60(C).
    34. Michael D. Plante, 2023. "Investing in the Batteries and Vehicles of the Future: A View Through the Stock Market," Working Papers 2314, Federal Reserve Bank of Dallas, revised 25 Mar 2024.
    35. Alessi, Lucia & Battiston, Stefano, 2022. "Two sides of the same coin: Green Taxonomy alignment versus transition risk in financial portfolios," International Review of Financial Analysis, Elsevier, vol. 84(C).
    36. Egemen Eren & Floortje Merten & Niek Verhoeven, 2022. "Pricing of climate risks in financial markets: a summary of the literature," BIS Papers, Bank for International Settlements, number 130.

  2. Alessi, Lucia & Battiston, Stefano & Melo, Ana Sofia, 2021. "Travelling down the green brick road: a status quo assessment of the EU taxonomy," Macroprudential Bulletin, European Central Bank, vol. 15.

    Cited by:

    1. Covi, Giovanni & Brookes, James & Raja, Charumathi, 2022. "Measuring Capital at Risk in the UK banking sector: a microstructural network approach," Bank of England working papers 983, Bank of England.

  3. Lucia Alessi & Peter Benczur & Francesca Campolongo & Jessica Cariboni & Anna Rita Manca & Balint Menyhert & Andrea Pagano, 2020. "The Resilience of EU Member States to the Financial and Economic Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 569-598, April.

    Cited by:

    1. Augusto Cerqua & Roberta Di Stefano & Guido Pellegrini, 2021. "What kind of region reaps the benefits of a currency union?," Working Papers 2/21, Sapienza University of Rome, DISS.
    2. Elias Giannakis & Christos T. Papadas, 2021. "Spatial Connectivity and Regional Economic Resilience in Turbulent Times," Sustainability, MDPI, vol. 13(20), pages 1-12, October.
    3. Giuseppe Terzo, 2021. "Social capital, social economy and economic resilience of Italian provinces," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1113-1135, October.
    4. Angeles Sánchez & Eduardo Jiménez-Fernández, 2023. "European Union Cohesion Policy: Socio-Economic Vulnerability of the Regions and the COVID-19 Shock," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 195-228, February.
    5. Péter Benczúr & István Kónya, 2022. "Convergence to the Centre," Contributions to Economics, in: László Mátyás (ed.), Emerging European Economies after the Pandemic, chapter 0, pages 1-51, Springer.

  4. Lucia Alessi & Mark Kerssenfischer, 2019. "The response of asset prices to monetary policy shocks: Stronger than thought," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 661-672, August.
    See citations under working paper version above.
  5. Alessi, Lucia & Detken, Carsten, 2018. "Identifying excessive credit growth and leverage," Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
    See citations under working paper version above.
  6. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    See citations under working paper version above.
  7. Alessi, Lucia & Detken, Carsten, 2014. "On policymakers’ loss functions and the evaluation of early warning systems: Comment," Economics Letters, Elsevier, vol. 124(3), pages 338-340.

    Cited by:

    1. Duprey, Thibaut & Klaus, Benjamin, 2022. "Early warning or too late? A (pseudo-)real-time identification of leading indicators of financial stress," Journal of Banking & Finance, Elsevier, vol. 138(C).
    2. Oet, Mikhail V. & Gramlich, Dieter & Sarlin, Peter, 2016. "Evaluating measures of adverse financial conditions," Journal of Financial Stability, Elsevier, vol. 27(C), pages 234-249.
    3. Theshne Kisten, 2020. "A Financial Stress Index for South Africa: A Time-Varying Correlation Approach," Working Papers 202011, University of Pretoria, Department of Economics.
    4. Alessi, Lucia & Balduzzi, Pierluigi & Savona, Roberto, 2019. "Anatomy of a Sovereign Debt Crisis: CDS Spreads and Real-Time Macroeconomic Data," Working Papers 2019-03, Joint Research Centre, European Commission.
    5. Diptes C. P. Bhimjee, 2022. "Adaptive Early Warning Systems: An Axiomatic Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 145-164.
    6. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.

  8. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2013. "The common component of firm growth," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 73-82.

    Cited by:

    1. Stella, Andrea, 2015. "Firm dynamics and the origins of aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 71-88.
    2. Juan Federico & Joan-Lluis Capelleras, 2015. "The heterogeneous dynamics between growth and profits: the case of young firms," Small Business Economics, Springer, vol. 44(2), pages 231-253, February.
    3. Fornaro, Paolo, 2016. "Predicting Finnish economic activity using firm-level data," International Journal of Forecasting, Elsevier, vol. 32(1), pages 10-19.

  9. Barigozzi, Matteo & Alessi, Lucia & Capasso, Marco & Fagiolo, Giorgio, 2012. "The distribution of household consumption-expenditure budget shares," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 69-91.
    See citations under working paper version above.
  10. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.

    Cited by:

    1. Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
    2. Makram El-Shagi & Gregor von Schweinitz, 2016. "Qual VAR revisited: Good forecast, bad story," Journal of Applied Economics, Universidad del CEMA, vol. 19, pages 293-322, November.
    3. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," IWH Discussion Papers 2/2019, Halle Institute for Economic Research (IWH).
    4. Kalatie, Simo & Laakkonen, Helinä & Tölö, Eero, 2015. "Indicators used in setting the countercyclical capital buffer," Bank of Finland Research Discussion Papers 8/2015, Bank of Finland.
    5. Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.
    6. Jan Babecký & Tomáš Havránek & Jakub Mateju & Marek Rusnák & Katerina Šmídková & Borek Vašícek, 2012. "Banking, Debt, and Currency Crises: Early Warning Indicators for Developed Countries," Working Papers IES 2012/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2012.
    7. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    8. Knedlik, Tobias & von Schweinitz, Gregor, 2011. "Macroeconomic Imbalances as Indicators for Debt Crises in Europe," IWH Discussion Papers 12/2011, Halle Institute for Economic Research (IWH).
    9. Stratford, Beth, 2020. "The Threat of Rent Extraction in a Resource-constrained Future," Ecological Economics, Elsevier, vol. 169(C).
    10. Geraldine Dany-Knedlik & Martina Kämpfe & Tobias Knedlik, 2021. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European Countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 123-139, February.
    11. Metrick, Andrew, 2019. "Ireland and Iceland in Crisis A: Increasing Risk in Ireland," Journal of Financial Crises, Yale Program on Financial Stability (YPFS), vol. 1(3), pages 1-15, March.
    12. António R. Antunes & Diana Bonfim & Nuno Monteiro & Paulo M.M. Rodrigues, 2016. "Forecasting banking crises with dynamic panel probit models," Working Papers w201613, Banco de Portugal, Economics and Research Department.
    13. Alessandro Turrini & Stefan Zeugner, 2019. "Benchmarks for Net International Investment Positions," European Economy - Discussion Papers 097, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Rickard Nyman & Paul Ormerod, 2017. "Predicting Economic Recessions Using Machine Learning Algorithms," Papers 1701.01428, arXiv.org.
    15. José Eduardo Gómez & Jair Ojeda Joya & Fernando Tenjo Galarza & Héctor Manuel Zárate Solano, 2013. "The Interdependence between Credit and Real Business Cycles in Latin American Economies," Borradores de Economia 10833, Banco de la Republica.
    16. Federica Ciocchetta & Wanda Cornacchia, 2019. "Assessing financial stability risks from the real estate market in Italy: an update," Questioni di Economia e Finanza (Occasional Papers) 493, Bank of Italy, Economic Research and International Relations Area.
    17. Regős, Gábor, 2013. "Kockázattal kiegészített Taylor-szabályok becslése Magyarországra [Estimation of risk-augmented Taylor rules for Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 670-702.
    18. Mikkel Hermansen & Oliver Röhn, 2015. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Economics Department Working Papers 1250, OECD Publishing.
    19. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    20. International Monetary Fund, 2016. "Slovak Republic: Selected Issues," IMF Staff Country Reports 2016/014, International Monetary Fund.
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    179. Diana Zigraiova & Petr Jakubik, 2014. "Systemic Event Prediction by Early Warning System," Working Papers IES 2014/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2014.
    180. von Schweinitz, Gregor & Sarlin, Peter, 2015. "Signaling Crises: How to Get Good Out-of-Sample Performance Out of the Early Warning System," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112964, Verein für Socialpolitik / German Economic Association.
    181. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.
    182. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    183. Iordanis Kalaitzoglou & Beatrice Durgheu, 2016. "Financial growth and Economic Growth in Europe : Is the Euro Beneficial for All Countries?," Post-Print hal-00859252, HAL.
    184. Jorge Mario Uribe & Stephanía Mosquera, 2016. "A comparative analysis of stock market cycles," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(3), pages 241-261, September.
    185. Marcin Pietrzak, 2021. "Can Financial Soundness Indicators Help Predict Financial Sector Distress?," IMF Working Papers 2021/197, International Monetary Fund.
    186. Patrizio Lainà & Juho Nyholm & Peter Sarlin, 2015. "Leading indicators of systemic banking crises: Finland in a panel of EU countries," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 18-35, January.
    187. Hosszú, Zsuzsanna & Körmendi, Gyöngyi & Mérő, Bence, 2016. "Egy- és többváltozós szűrők a hitelrés alakulásának meghatározására [Filters with single or multiple variables in measuring the size of the credit gap]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 233-259.
    188. Truong, Chi & Sheen, Jeffrey & Trück, Stefan & Villafuerte, James, 2022. "Early warning systems using dynamic factor models: An application to Asian economies," Journal of Financial Stability, Elsevier, vol. 58(C).
    189. Iwanicz-Drozdowska Małgorzata & Kurowski Łukasz, 2021. "Keep your friends close and your enemies closer – the case of monetary policy and financial imbalances," German Economic Review, De Gruyter, vol. 22(4), pages 383-414, November.
    190. V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.
    191. Bochmann, Paul & Hiebert, Paul & Schüler, Yves S. & Segoviano, Miguel, 2022. "Latent fragility: conditioning banks’ joint probability of default on the financial cycle," Working Paper Series 2698, European Central Bank.
    192. Tomáš, Domonkos & Filip, Ostrihoň & Ivana, Šikulová & Mária, Širaňová, 2017. "Analysing the Relevance of the MIP Scoreboard's Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 239, pages 32-52, February.
    193. Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
    194. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).
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    196. Ermanno Catullo & Antonio Palestrini & Ruggero Grilli & Mauro Gallegati, 2018. "Early warning indicators and macro-prudential policies: a credit network agent based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 81-115, April.
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    198. Dreger, Christian & Kholodilin, Konstantin A., 2013. "An early warning system to predict speculative house price bubbles," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-26.
    199. Manuel Buchholz, 2015. "How effective is macroprudential policy during financial downturns? Evidence from caps on banks̕ leverage," Bank of Estonia Working Papers wp2015-7, Bank of Estonia, revised 30 Dec 2015.
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    201. Zigraiova, Diana & Jakubik, Petr, 2015. "Systemic event prediction by an aggregate early warning system: An application to the Czech Republic," Economic Systems, Elsevier, vol. 39(4), pages 553-576.
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    212. Cabral, Inês & Detken, Carsten & Fell, John & Henry, Jérôme & Hiebert, Paul & Kapadia, Sujit & Pires, Fatima & Salleo, Carmelo & Constâncio, Vítor & Nicoletti Altimari, Sergio, 2019. "Macroprudential policy at the ECB: Institutional framework, strategy, analytical tools and policies," Occasional Paper Series 227, European Central Bank.
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    Cited by:

    1. Berner, Anne & Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," University of Göttingen Working Papers in Economics 422, University of Goettingen, Department of Economics.
    2. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    3. Weifeng Jin, 2023. "Quantile Autoregression-based Non-causality Testing," Papers 2301.02937, arXiv.org.
    4. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    5. Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    6. Soccorsi, Stefano, 2016. "Measuring nonfundamentalness for structural VARs," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 86-101.
    7. Hecq, A.W. & Lieb, L.M. & Telg, J.M.A., 2015. "Identification of Mixed Causal-Noncausal Models : How Fat Should We Go?," Research Memorandum 035, Maastricht University, Graduate School of Business and Economics (GSBE).
    8. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    9. Mario Forni & Luca Gambetti & marco Lippi & Luca Sala, 2020. "Common Components Structural VARs," Center for Economic Research (RECent) 147, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    10. Pellényi, Gábor, 2012. "A monetáris politika hatása a magyar gazdaságra. Elemzés strukturális, dinamikus faktormodellel [The sectoral effects of monetary policy in Hungary: a structural factor]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 263-284.
    11. Angelini, Giovanni & Sorge, Marco M., 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    12. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    13. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Francesco Giancaterini & Alain Hecq, 2020. "Inference in mixed causal and noncausal models with generalized Student's t-distributions," Papers 2012.01888, arXiv.org, revised Nov 2022.
    15. J. Baron & J. Schmidt, 2014. "Technological Standardization, Endogenous Productivity and Transitory Dynamics," Working papers 503, Banque de France.
    16. Lanne, Markku & Saikkonen, Pentti, 2010. "Noncausal Vector Autoregression," MPRA Paper 23717, University Library of Munich, Germany.
    17. Fève, Patrick & Jidoud, Ahmat, 2012. "Identifying News Shocks from SVARs," TSE Working Papers 12-287, Toulouse School of Economics (TSE).
    18. Lobato, Ignacio N. & Velasco, Carlos, 2018. "Efficiency improvements for minimum distance estimation of causal and invertible ARMA models," Economics Letters, Elsevier, vol. 162(C), pages 150-152.
    19. Ellahie, Atif & Ricco, Giovanni, 2017. "Government Purchases Reloaded : Informational Insufficiency and Heterogeneity in Fiscal VARs," Economic Research Papers 269308, University of Warwick - Department of Economics.
    20. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    21. Nektarios A. Michail & Christos S. Savva & Demetris Koursaros, 2017. "Size Effects of Fiscal Policy and Business Confidence in the Euro Area," IJFS, MDPI, vol. 5(4), pages 1-15, November.
    22. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    23. Ricco, Giovanni & Ellahie, Atif, 2012. "Government Spending Reloaded: Fundamentalness and Heterogeneity in Fiscal SVARs," MPRA Paper 42105, University Library of Munich, Germany.
    24. Lof, Matthijs, 2011. "Noncausality and Asset Pricing," MPRA Paper 30519, University Library of Munich, Germany.
    25. Hecq, Alain & Issler, João Victor & Telg, Sean, 2017. "Mixed Causal-Noncausal Autoregressions with Strictly Exogenous Regressors," MPRA Paper 80767, University Library of Munich, Germany.
    26. Kang, Jihye & Kim, Soyoung, 2022. "Government spending news and surprise shocks: It’s the timing and persistence," Journal of Macroeconomics, Elsevier, vol. 73(C).
    27. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2013. "The common component of firm growth," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 73-82.
    28. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.
    29. Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
    30. Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
    31. Hamidi Sahneh, Mehdi, 2015. "Are the shocks obtained from SVAR fundamental?," MPRA Paper 65126, University Library of Munich, Germany.
    32. Nikolay Iskrev, 2021. "Spectral decomposition of the information about latent variables in dynamic macroeconomic models," Working Papers w202105, Banco de Portugal, Economics and Research Department.
    33. Alain Hecq & Sean Telg & Lenard Lieb, 2017. "Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?," Econometrics, MDPI, vol. 5(4), pages 1-22, October.
    34. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.
    35. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
    36. Martin Hodula & Lukas Pfeifer, 2018. "The Impact of Credit Booms and Economic Policy on Labour Productivity: A Sectoral Analysis," ACTA VSFS, University of Finance and Administration, vol. 12(1), pages 10-42.
    37. Nyholm, Juho, 2017. "Residual-based diagnostic tests for noninvertible ARMA models," MPRA Paper 81033, University Library of Munich, Germany.
    38. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.

  12. Alessi, Lucia & Barigozzi, Matteo & Capasso, Marco, 2010. "Improved penalization for determining the number of factors in approximate factor models," Statistics & Probability Letters, Elsevier, vol. 80(23-24), pages 1806-1813, December.

    Cited by:

    1. Leu, Shawn C.-Y. & Robertson, Mari L., 2021. "Mortgage credit volumes and monetary policy after the Great Recession," Economic Modelling, Elsevier, vol. 94(C), pages 483-500.
    2. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    3. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    4. Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2013. "Forecasting the US Real Private Residential Fixed Investment Using Large Number of Predictors," Working Papers 201348, University of Pretoria, Department of Economics.
    5. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    7. Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2015. "Dynamic factor models with infinite-dimensional factor spaces: One-sided representations," Journal of Econometrics, Elsevier, vol. 185(2), pages 359-371.
    8. Igan, Deniz & Kabundi, Alain & De Simone, Francisco Nadal & Tamirisa, Natalia, 2017. "Monetary policy and balance sheets," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 169-184.
    9. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    10. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    11. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    12. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    13. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    14. Matteo Barigozzi & Daniele Massacci, 2022. "Modelling Large Dimensional Datasets with Markov Switching Factor Models," Papers 2210.09828, arXiv.org, revised Dec 2023.
    15. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    16. Matteo Luciani & Libero Monteforte, 2012. "Uncertainty and Heterogeneity in factor models forecasting," Working Papers 5, Department of the Treasury, Ministry of the Economy and of Finance.
    17. Afanasyeva, Elena & Güntner, Jochen, 2014. "Lending standards, credit booms and monetary policy," IMFS Working Paper Series 85, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    18. Pietro Dallari & Antonio Ribba, 2015. "Dynamic Factor Models with In nite-Dimensional Factor Space: Asymptotic Analysis," Center for Economic Research (RECent) 115, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    19. Paccagnini, Alessia, 2019. "Did financial factors matter during the Great Recession?," Economics Letters, Elsevier, vol. 174(C), pages 26-30.
    20. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    21. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    22. Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
    23. Forni, Mario & Di Bonaventura, Luca & Pattarin, Francesco, 2018. "The Forcasting Performance of Dynamic Factor Models with Vintage Data," CEPR Discussion Papers 13034, C.E.P.R. Discussion Papers.
    24. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    25. Barigozzi, Matteo & Conti, Antonio & Luciani, Matteo, 2012. "Do Euro area countries respond asymmetrically to the common monetary policy?," LSE Research Online Documents on Economics 43344, London School of Economics and Political Science, LSE Library.
    26. Olivier Fortin-Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2018. "A Large Canadian Database for Macroeconomic Analysis," CIRANO Working Papers 2018s-25, CIRANO.
    27. Paolo Andreini & Cosimo Izzo & Giovanni Ricco, 2020. "Deep Dynamic Factor Models," Papers 2007.11887, arXiv.org, revised May 2023.
    28. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
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    Cited by:

    1. Svatopluk Kapounek & Jana Kralova, 2014. "Financial Instability and Money Velocity - Evidence from the Financial Crisis," MENDELU Working Papers in Business and Economics 2014-44, Mendel University in Brno, Faculty of Business and Economics.
    2. Reimers, Hans-Eggert, 2012. "Early warning indicator model of financial developments using an ordered logit," Wismar Discussion Papers 06/2012, Hochschule Wismar, Wismar Business School.
    3. Daniela Marchettini & Mr. Rodolfo Maino, 2015. "Systemic Risk Assessment in Low Income Countries: Balancing Financial Stability and Development," IMF Working Papers 2015/190, International Monetary Fund.
    4. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
    5. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    6. Judith Eidenberger & Benjamin Neudorfer & Michael Sigmund & Ingrid Stein, 2013. "Quantifying Financial Stability in Austria, New Tools for Macroprudential Supervision," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 26, pages 62-81.
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