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When to Lean Against the Wind

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Listed:
  • Bjorn Richter
  • Moritz Schularick
  • Paul Wachtel

Abstract

In this paper, we show that policymakers can distinguish between good and bad credit booms with high accuracy and they can do so in real time. Evidence from 17 countries over nearly 150 years of modern financial history shows that credit booms that are accompanied by house price booms and a rising loan‐to‐deposit ratio are much more likely to end in a systemic banking crisis than other credit booms. We evaluate the predictive accuracy for different classification models and show that characteristics observed in real time contain valuable information for sorting the data into good and bad booms.
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Suggested Citation

  • 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.
    • Handle: RePEc:ste:nystbu:18-10
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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