Egy- és többváltozós szűrők a hitelrés alakulásának meghatározására
[Filters with single or multiple variables in measuring the size of the credit gap]
Author
Abstract
Suggested Citation
DOI: 10.18414/KSZ.2016.3.233
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- 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.
- Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The unreliability of credit-to-GDP ratio gaps in real-time: Implications for countercyclical capital buffers," Finance and Economics Discussion Series 2011-37, Board of Governors of the Federal Reserve System (U.S.).
- Lawrence J. Christiano & Terry J. Fitzgerald, 2003.
"The Band Pass Filter,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
- Lawrence J. Christiano & Terry J. Fitzgerald, 1999. "The Band pass filter," Working Papers (Old Series) 9906, Federal Reserve Bank of Cleveland.
- Lawrence J. Christiano & Terry J. Fitzgerald, 1999. "The Band Pass Filter," NBER Working Papers 7257, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "CFFILTER: RATS procedure to perform band pass filter using Christiano-Fitzgerald method," Statistical Software Components RTS00034, Boston College Department of Economics.
- Mody, Ashoka & Sarno, Lucio & Taylor, Mark P., 2007.
"A cross-country financial accelerator: Evidence from North America and Europe,"
Journal of International Money and Finance, Elsevier, vol. 26(1), pages 149-165, February.
- Taylor, Mark & Sarno, Lucio & Mody, Ashoka, 2005. "A Cross-Country Financial Accelerator: Evidence from North America and Europe," CEPR Discussion Papers 5037, C.E.P.R. Discussion Papers.
- Hirose, Yasuo & Kamada, Koichiro, 2003. "A New Technique for Simultaneous Estimation of Potential Output and the Phillips Curve," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 21(2), pages 93-112, August.
- Buncic, Daniel & Melecky, Martin, 2014.
"Equilibrium credit: The reference point for macroprudential supervisors,"
Journal of Banking & Finance, Elsevier, vol. 41(C), pages 135-154.
- Buncic, Daniel & Martin Melecky, 2013. "Equilibrium Credit: The Reference Point for Macroprudential Supervisors," Economics Working Paper Series 1301, University of St. Gallen, School of Economics and Political Science, revised Feb 2014.
- Buncic, Daniel & Melecky, Martin, 2013. "Equilibrium credit : the reference point for macroprudential supervisors," Policy Research Working Paper Series 6358, The World Bank.
- 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.
- Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The Unreliability of Credit-to-GDP Ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 261-298, December.
- Gergely Kiss & Márton Nagy & Balázs Vonnák, 2006. "Credit Growth in Central and Eastern Europe: Convergence or Boom?," MNB Working Papers 2006/10, Magyar Nemzeti Bank (Central Bank of Hungary).
- Ryan A. Compton & Jose Ricardo da Costa & Silva, 2005. "Finance and the Business Cycle: a Kalman Filter Approach with Markov Switching," Working Papers Series 97, Central Bank of Brazil, Research Department.
- Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
- Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Schudel, Willem, 2015. "Shifting horizons: assessing macro trends before, during, and following systemic banking crises," Working Paper Series 1766, European Central Bank.
- 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.
- 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).
- 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.
- Borgy, Vladimir & Clerc, Laurent & Renne, Jean-Paul, 2014. "Measuring aggregate risk: Can we robustly identify asset-price boom–bust cycles?," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 132-150.
- Huynh, Tran & Uebelmesser, Silke, 2024.
"Early warning models for systemic banking crises: Can political indicators improve prediction?,"
European Journal of Political Economy, Elsevier, vol. 81(C).
- 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.
- Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021.
"Identifying indicators of systemic risk,"
Journal of International Economics, Elsevier, vol. 132(C).
- Hartwig, Benny & Meinerding, Christoph & Schüler, Yves, 2020. "Identifying indicators of systemic risk," Discussion Papers 33/2020, Deutsche Bundesbank.
- Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018.
"Forecasting banking crises with dynamic panel probit models,"
International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
- 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.
- 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.
- O'Brien, Martin & Velasco, Sofia, 2020. "Unobserved components models with stochastic volatility for extracting trends and cycles in credit," Research Technical Papers 09/RT/20, Central Bank of Ireland.
- 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.
- Lang, Jan Hannes & Welz, Peter, 2018. "Semi-structural credit gap estimation," Working Paper Series 2194, European Central Bank.
- Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
- Martínez, Juan Francisco & Oda, Daniel, 2021.
"Characterization of the Chilean financial cycle, early warning indicators and implications for macro-prudential policies,"
Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(1).
- 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.
- 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.
- Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
- Alessi, Lucia & Detken, Carsten, 2018.
"Identifying excessive credit growth and leverage,"
Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
- Alessi, Lucia, 2014. "Identifying Excessive Credit Growth and Leverage," Financial Stability Review, European Central Bank, vol. 1.
- Detken, Carsten & Alessi, Lucia, 2014. "Identifying excessive credit growth and leverage," Working Paper Series 1723, European Central Bank.
- Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
- Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011.
"Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates,"
International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
- Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring countercyclical capital buffers: the role of credit aggregates," BIS Working Papers 355, Bank for International Settlements.
- Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring financial cycles with a model-based filter: Empirical evidence for the United States and the euro area," DNB Working Papers 495, Netherlands Central Bank, Research Department.
More about this item
JEL classification:
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ksa:szemle:1616. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Odon Sok (email available below). General contact details of provider: http://www.kszemle.hu .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.