Silicon Valley Bank

Social Media as a Bank Run Catalyst ArXiv ID: ssrn-4422754 “View on arXiv” Authors: Unknown Abstract After the run on Silicon Valley Bank (SVB) in March 2023, U.S. regional banks entered a period of significant distress. We quantify social media’s role in this Keywords: Silicon Valley Bank, Social media, Bank runs, Regional banks, Contagion Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 8.0/10 Quadrant: Street Traders Why: The paper uses extensive Twitter data and robust econometric specifications (e.g., regression analyses with numerous controls, specification curves) to link social media exposure to bank run outcomes, demonstrating high empirical rigor. The mathematical content is relatively light, focusing on regression models and standard financial metrics rather than advanced theoretical derivations. flowchart TD A["Research Goal Quantify social media's role in SVB bank run"] --> B["Key Methodology High-frequency data analysis"] B --> C["Data / Inputs Social media volume & sentiment Bank stock prices & CDS spreads"] C --> D["Computational Process Causal inference & time-series regression models"] D --> E["Key Findings 1. Social media predicts withdrawals 2. Amplifies deposit flight 3. Material impact on bank stability"]