On policymakers’ loss functions and the evaluation of early warning systems
Author
Abstract
Suggested Citation
DOI: 10.1016/j.econlet.2012.12.030
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.
Other versions of this item:
- Sarlin, Peter, 2013. "On policymakers' loss function and the evaluation of early warning systems," Working Paper Series 1509, European Central Bank.
References listed on IDEAS
- Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998.
"Leading Indicators of Currency Crises,"
IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
- Kaminsky, Graciela & Lizondo, Saul & Reinhart, Carmen M., 1997. "Leading indicators of currency crises," Policy Research Working Paper Series 1852, The World Bank.
- Reinhart, Carmen & Kaminsky, Graciela & Lizondo, Saul, 1998. "Leading Indicators of Currency Crises," MPRA Paper 6981, University Library of Munich, Germany.
- El-Shagi, M. & Knedlik, T. & von Schweinitz, G., 2013.
"Predicting financial crises: The (statistical) significance of the signals approach,"
Journal of International Money and Finance, Elsevier, vol. 35(C), pages 76-103.
- El-Shagi, Makram & Knedlik, Tobias & von Schweinitz, Gregor, 2012. "Predicting Financial Crises: The (Statistical) Significance of the Signals Approach," IWH Discussion Papers 3/2012, Halle Institute for Economic Research (IWH).
- Mr. Kasper Lund-Jensen, 2012. "Monitoring Systemic Risk Basedon Dynamic Thresholds," IMF Working Papers 2012/159, International Monetary Fund.
- A. Berg & C. Pattillo, 1999. "What Caused the Asian Crises: An Early Warning System Approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 28(3), pages 285-334, November.
- Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin, 2012.
"How to Evaluate an Early-Warning System: Toward a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 60(1), pages 75-113, April.
- Candelon, B. & Dumitrescu, E-I. & Hurlin, C., 2010. "How to evaluate an early warning system? Towards a united statistical framework for assessing financial crises forecasting methods," Research Memorandum 046, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin, 2012. "How to Evaluate an Early Warning System? Towards a Unified Statistical Framework for Assessing Financial Crises Forecasting Methods," Post-Print hal-01385900, HAL.
- 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.
- Peltonen, Tuomas A. & Sarlin, Peter, 2011. "Mapping the state of financial stability," Working Paper Series 1382, European Central Bank.
- 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.
- Òscar Jordà & Moritz Schularick & Alan M Taylor, 2011.
"Financial Crises, Credit Booms, and External Imbalances: 140 Years of Lessons,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(2), pages 340-378, June.
- Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2010. "Financial Crises, Credit Booms, and External Imbalances: 140 Years of Lessons," NBER Working Papers 16567, National Bureau of Economic Research, Inc.
- Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2005.
"Exchange rates and fundamentals: evidence on the economic value of predictability,"
Journal of International Economics, Elsevier, vol. 66(2), pages 325-348, July.
- Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2004. "Exchange Rates and Fundamentals: Evidence on the Economic Value of Predictability," CEPR Discussion Papers 4365, C.E.P.R. Discussion Papers.
- Mr. Axel Schimmelpfennig & Nouriel Roubini & Paolo Manasse, 2003. "Predicting Sovereign Debt Crises," IMF Working Papers 2003/221, International Monetary Fund.
- Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.
- Fuertes, Ana-Maria & Kalotychou, Elena, 2007. "Optimal design of early warning systems for sovereign debt crises," International Journal of Forecasting, Elsevier, vol. 23(1), pages 85-100.
- Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
- Frankel, Jeffrey A. & Rose, Andrew K., 1996.
"Currency crashes in emerging markets: An empirical treatment,"
Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
- Jeffrey A. Frankel & Andrew K. Rose, 1996. "Currency crashes in emerging markets: an empirical treatment," International Finance Discussion Papers 534, Board of Governors of the Federal Reserve System (U.S.).
- Bussiere, Matthieu & Fratzscher, Marcel, 2008. "Low probability, high impact: Policy making and extreme events," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 111-121.
- Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin, 2012. "How to evaluate an Early Warning System ?," Working Papers halshs-00450050, HAL.
- Berg, Andrew & Pattillo, Catherine, 1999. "Predicting currency crises:: The indicators approach and an alternative," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 561-586, August.
- repec:zbw:bofitp:2011_018 is not listed on IDEAS
- Demirguc, Asli & Detragiache, Enrica, 2000.
"Monitoring Banking Sector Fragility: A Multivariate Logit Approach,"
The World Bank Economic Review, World Bank, vol. 14(2), pages 287-307, May.
- Ms. Enrica Detragiache & Asli Demirgüç-Kunt, 1999. "Monitoring Banking Sector Fragility: A Multivariate Logit Approach," IMF Working Papers 1999/147, International Monetary Fund.
- 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.
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.- Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014.
"Predicting distress in European banks,"
Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
- Betz, Frank & Oprica, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2013. "Predicting distress in European banks," Working Paper Series 1597, European Central Bank.
- Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.
- 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.
- Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
- Sarlin, Peter & von Schweinitz, Gregor, 2021.
"Optimizing Policymakers’ Loss Functions In Crisis Prediction: Before, Within Or After?,"
Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 100-123, January.
- Sarlin, Peter & von Schweinitz, Gregor, 2015. "Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?," IWH Discussion Papers 6/2015, Halle Institute for Economic Research (IWH).
- Sarlin, Peter & von Schweinitz, Gregor, 2017. "Optimizing policymakers' loss functions in crisis prediction: before, within or after?," Working Paper Series 2025, European Central Bank.
- 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.
- Roberto Savona & Marika Vezzoli, 2015.
"Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
- Roberto Savona & Marika Vezzoli, 2012. "Fitting and Forecasting Sovereign Defaults Using Multiple Risk Signals," Working Papers 2012_26, Department of Economics, University of Venice "Ca' Foscari".
- Peter Sarlin & Dorina Marghescu, 2011. "Neuro‐Genetic Predictions Of Currency Crises," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 18(4), pages 145-160, October.
- Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018.
"An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?,"
Discussion Papers
48/2018, Deutsche Bundesbank.
- 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).
- 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,"
ESRB Occasional Paper Series
13, European Systemic Risk Board.
- 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.
- Hamdaoui, Mekki, 2016. "Are systemic banking crises in developed and developing countries predictable?," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 114-138.
- Ari, Ali, 2012. "Early warning systems for currency crises: The Turkish case," Economic Systems, Elsevier, vol. 36(3), pages 391-410.
- Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
- 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.
- Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
- Mikkel Hermansen & Oliver Röhn, 2017.
"Economic resilience: The usefulness of early warning indicators in OECD countries,"
OECD Journal: Economic Studies, OECD Publishing, vol. 2016(1), pages 9-35.
- Mikkel Hermansen & Oliver Röhn, 2015. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Economics Department Working Papers 1250, OECD Publishing.
- Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper & Alberto Romero, 2019.
"Early Warning Systems for Currency Crises with Real-Time Data,"
Open Economies Review, Springer, vol. 30(4), pages 813-835, September.
- Tjeerd M. Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper & Alberto Romero, 2017. "Early Warning Systems for Currency Crises with Real-Time Data," CIRANO Working Papers 2017s-18, CIRANO.
- Candelon, Bertrand & Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2014.
"Currency crisis early warning systems: Why they should be dynamic,"
International Journal of Forecasting, Elsevier, vol. 30(4), pages 1016-1029.
- Candelon, B. & Dumitrescu, E-I. & Hurlin, C., 2010. "Currency crises early warning systems: why they should be dynamic," Research Memorandum 047, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin, 2014. "Currency Crises Early Warning Systems: Why They Should Be Dynamic," Post-Print hal-01385975, HAL.
- Bertrand Candelon & Christophe Hurlin & Elena Dumitnescu, 2014. "Currency Crisis Early Warning Systems: Why They should be Dynamic," Working Papers 2014-161, Department of Research, Ipag Business School.
- Bertrand Candelon & Elena-Ivona DUMITRESCU & Christophe HURLIN, 2010. "Currency Crises Early Warning Systems: why they should be Dynamic," LEO Working Papers / DR LEO 399, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
- Tobias Knedlik & Gregor Von Schweinitz, 2012.
"Macroeconomic Imbalances as Indicators for Debt Crises in Europe,"
Journal of Common Market Studies, Wiley Blackwell, vol. 50(5), pages 726-745, September.
- 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).
- Dieckelmann, Daniel, 2020. "Cross-border lending and the international transmission of banking crises," Discussion Papers 2020/13, Free University Berlin, School of Business & Economics.
More about this item
Keywords
Early warning systems; Policymakers’ loss functions; Policymakers’ preferences; Misclassification costs;All these keywords.
JEL classification:
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
- F01 - International Economics - - General - - - Global Outlook
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
- G01 - Financial Economics - - General - - - Financial Crises
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:eee:ecolet:v:119:y:2013:i:1:p:1-7. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.