Crisis atlas / HUN / 2008–2016
Hungary, 2008–2016
One crisis episode: distinct crisis years merged across gaps of up to two non-crisis years. Types, source agreement, and macro context are drawn from the union of five primary chronologies.
Crisis years in this episode
Every distinct (year, type) event inside the 2008–2016 window, with the chronologies flagging it and the count of agreeing sources. Start-year sources (GMD, JST) mark only the first year, so agreement falls in the continuation years.
- 2008Bankingesrb, gmd, laeven_valencia, rr4 sources
- 2009Bankingesrb, laeven_valencia, rr3 sources
- 2010Bankingesrb, laeven_valencia, rr3 sources
- 2011Bankinglaeven_valencia, rr2 sourcesCurrencyrr1 source
- 2012Bankinglaeven_valencia, rr2 sources
- 2013Bankingrr1 source
- 2014Bankingrr1 sourceCurrencyrr1 source
- 2015Bankingrr1 sourceCurrencyrr1 source
- 2016Bankingrr1 source
Source: Global Macro Database 2026_06 (Müller, Xu, Lehbib & Chen 2025) | Jordà-Schularick-Taylor Macrohistory R6 | Laeven & Valencia (2020, 2026) | Reinhart-Rogoff via HBS BFFS | ECB/ESRB Financial Crises Database Methodology
Laeven-Valencia banking-crisis detail
Episode-level fiscal cost and output loss from the systemic banking crises database. Fiscal cost is the gross outlay of banking-sector rescues; output loss is the cumulative deviation of real GDP from its pre-crisis trend, both as a percent of GDP.
Source: Laeven & Valencia (2026), IMF WP/26/94, Systemic Banking Crises Database 1970-2025 Methodology
Macro context, 2001–2023
Seven years either side of the episode. Each panel has its own scale; the crisis window is shaded. Only indicators with data for Hungary in this window are shown. Bank credit growth (year over year in total loans) is available for the 18 Jordà-Schularick-Taylor advanced economies.
Source: Global Macro Database 2026_06 (Müller, Xu, Lehbib & Chen 2025) | Jordà-Schularick-Taylor Macrohistory R6 (credit) Real GDP growth is derived as the year-over-year change in real GDP; current account and government debt are percent of GDP; policy rate is the central-bank rate; bank credit growth is the year-over-year change in JST total loans. Methodology
How each source dates this episode
The chronologies disagree on start years and durations. This table is generated from the event rows, not curated: it lists, per crisis type, which source flags which years inside the window.
- ECB/ESRB2008, 2009, 2010
- Global Macro Database2008
- Laeven-Valencia2008, 2009, 2010, 2011, 2012
- Reinhart-Rogoff2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016
- Reinhart-Rogoff2011, 2014, 2015
Source: Global Macro Database 2026_06 (Müller, Xu, Lehbib & Chen 2025) | Jordà-Schularick-Taylor Macrohistory R6 | Laeven & Valencia (2020, 2026) | Reinhart-Rogoff via HBS BFFS | ECB/ESRB Financial Crises Database Methodology
Documented policy responses
6 interventions from the Metrick-Schmelzing banking-crisis database whose recorded year falls inside this episode window (2008–2016). Each row is one documented government or central-bank action, tagged with the database’s own intervention categories and short code, under the crisis code it assigns. Matching is exact: same country, intervention year inside the window. The database’s global-crisis rows (no country) are never matched here.
- Nov-2008Capital injectionsBBCI
- Nov-2008GuaranteesOLG
- Mar-2009Capital injectionsAHCI
- Mar-2009LendingAHEL
- Nov-2014Asset managementBBAM
- Dec-2015RestructuringBAIL
Source: Metrick-Schmelzing Banking-Crisis Interventions Database (Yale Program on Financial Stability) Cite as: Metrick, Andrew, and Paul Schmelzing, "Banking-Crisis Interventions Across Time and Space," working paper, 2024 (dataset consulted 2026-07-10). License: Creative Commons attribution. Methodology
Policy-response case studies (external)
For qualitative accounts of how authorities intervened in systemic crises, see the Yale Program on Financial Stability New Bagehot Project, a library of financial-crisis intervention case studies. It is a separate qualitative resource; no specific case is asserted to match this episode.