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How Asymmetric Fears in Bank Options Signal Future Economic Risk

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📢 What This Paper Introduces

This paper introduces forward-looking measures of the network connectedness of fears in the financial system. The measures capture how "good" and "bad" beliefs about uncertainty—held by market participants—spread unequally across a network of banks, producing an asymmetric pattern of contagion.

📊 Measuring Fears From Bank Option Trades

  • Uses traded call and put option prices of the main U.S. banks to extract network information.
  • Separately constructs connectedness from calls and from puts to reflect market participants' positive and negative beliefs about future uncertainty.
  • Builds forward-looking, asymmetric network measures that track how uncertainty propagates unevenly through banking networks.

📈 Key Findings

  • The asymmetric network structure derived from option prices contains valuable predictive information for macroeconomic conditions.
  • These measures also forecast broader economic uncertainty beyond what symmetric or aggregate indicators reveal.
  • The asymmetric connectedness indicators can serve as practical tools for forward-looking systemic risk monitoring.

🔎 Why It Matters

  • Offers a new, market-based early-warning approach to detect which banks or links are channels of rising fear.
  • Enhances the ability to distinguish between benign and harmful spreads of uncertainty by separating "good" and "bad" beliefs.
  • Provides policy-makers and analysts with richer, forward-looking signals to complement traditional systemic risk metrics.
Article card for article: Asymmetric Network Connectedness of Fears
Asymmetric Network Connectedness of Fears was authored by Jozef Barunik, Mattia Bevilacqua and Radu Tunaru. It was published by MIT Press in RESTAT in 2022.
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Review of Economics and Statistics