Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?

Research, Preprint English OPEN
Sarlin, Peter; von Schweinitz, Gregor;
(2015)
  • Publisher: Halle (Saale): Leibniz-Institut für Wirtschaftsforschung Halle (IWH)
  • Related identifiers: doi: 10.2866/48672
  • Subject: C53 | early-warning models, loss functions, threshold setting, predictive performance | C35 | early-warning models | threshold setting | predictive performance | G01 | loss functions
    • jel: jel:C53 | jel:G01 | jel:C35
      ddc: ddc:330

Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in rec... View more
  • References (23)
    23 references, page 1 of 3

    Alessi, L. & Detken, C. (2011). Quasi Real Time Early Warning Indicators for Costly Asset Price Boom/Bust Cycles: A Role for Global Liquidity, European Journal of Political Economy 27(3): 520-533.

    Berg, A. & Pattillo, C. (1999). What Caused the Asian Crises: An Early Warning System Approach, Economic Notes 28(3): 285-334.

    Betz, F., Oprică, S., Peltonen, T. A. & Sarlin, P. (2014). Predicting Distress in European Banks, Journal of Banking & Finance 45: 225-241.

    Bussiere, M. & Fratzscher, M. (2008). Low Probability, High Impact: Policy Making and Extreme Events, Journal of Policy Modeling 30(1): 111-121.

    Bussière, M. & Fratzscher, M. (2006). Towards a New Early Warning System of Financial Crises, Journal of International Money and Finance 25(6): 953-973.

    Davis, E. P. & Karim, D. (2008). Comparing Early Warning Systems for Banking Crises, Journal of Financial Stability 4(2): 89-120.

    Demirgüç-Kunt, A. & Detragiache, E. (2000). Monitoring Banking Sector Fragility: a Multivariate Logit Approach, The World Bank Economic Review 14(2): 287-307.

    Drehmann, M. & Juselius, M. (2014). Evaluating Early Warning Indicators of Banking Crises: Satisfying Policy Requirements, International Journal of Forecasting 30(3): 759- 780.

    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 35: 76-103.

    Frankel, J. A. & Rose, A. K. (1996). Currency Crashes in Emerging Markets: An Empirical Treatment, Journal of International Economics 41(3): 351-366.

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