Crisis Economics

Consumer Spending Responses to the COVID-19 Pandemic: An Assessment of Great Britain ArXiv ID: ssrn-3586723 “View on arXiv” Authors: Unknown Abstract Since the first death in China in early January 2020, the coronavirus (COVID-19) has spread across the globe and dominated the news headlines leading to fundame Keywords: COVID-19, Volatility, Market Turbulence, Risk Management, Crisis Economics, Equity Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 9.0/10 Quadrant: Street Traders Why: The paper uses advanced econometric methods (e.g., time-series regressions with fixed effects) but is fundamentally an empirical study relying on a massive proprietary transaction dataset (23 million transactions) to analyze real-world consumer behavior, with no code/backtests presented but heavy data and implementation details. flowchart TD A["Research Goal: Assess UK consumer spending volatility amid COVID-19"] --> B["Data Source: UK Finance Admin Data (n = 70M accounts)"] B --> C["Methodology: Panel Regression & Time-Series Analysis"] C --> D["Computational Process: Compare Pre/Post- Pandemic Spending Trends"] D --> E["Key Finding 1: Immediate spending contraction (Mar 2020)"] D --> F["Key Finding 2: Shift from services to durable goods"] D --> G["Key Finding 3: Volatility spiked; uncertainty persisted"]