COVID-19 Impact

Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets ArXiv ID: 2504.18960 “View on arXiv” Authors: Tetsuya Takaishi Abstract This study examines the impact of the coronavirus disease 2019 (COVID-19) pandemic on market efficiency by analyzing three time series – price returns, absolute returns, and volatility increments – in stock (Deutscher Aktienindex, Nikkei 225, Shanghai Stock Exchange (SSE), and Volatility Index) and cryptocurrency (Bitcoin and Ethereum) markets. The effect is found to vary by asset class and market. In the stock market, while the pandemic did not influence the Hurst exponent of volatility increments, it affected that of returns and absolute returns (except in the SSE, where returns remained unaffected). In the cryptocurrency market, the pandemic did not alter the Hurst exponent for any time series but influenced the strength of multifractality in returns and absolute returns. Some Hurst exponent time series exhibited a gradual decline over time, complicating the assessment of pandemic-related effects. Consequently, segmented analyses by pandemic periods may erroneously suggest an impact, warranting caution in period-based studies. ...

Lead Times in Flux: Analyzing Airbnb Booking Dynamics During Global Upheavals (2018-2022) ArXiv ID: 2501.10535 “View on arXiv” Authors: Unknown Abstract Short-term shifts in booking behaviors can disrupt forecasting in the travel and hospitality industry, especially during global crises. Traditional metrics like average or median lead times often overlook important distribution changes. This study introduces a normalized L1 (Manhattan) distance to assess Airbnb booking lead time divergences from 2018 to 2022, focusing on the COVID-19 pandemic across four major U.S. cities. We identify a two-phase disruption: an abrupt change at the pandemic’s onset followed by partial recovery with persistent deviations from pre-2018 patterns. Our method reveals changes in travelers’ planning horizons that standard statistics miss, highlighting the need to analyze the entire lead-time distribution for more accurate demand forecasting and pricing strategies. The normalized L1 metric provides valuable insights for tourism stakeholders navigating ongoing market volatility. ...

Investment Opportunities and Strategies in an Era of Coronavirus Pandemic ArXiv ID: ssrn-3567445 “View on arXiv” Authors: Unknown Abstract The COVID-19 continues to hit the world economy as well as the financial markets. As a result of the coronavirus spread across all continents, the majority of t Keywords: COVID-19 Impact, Market Volatility, Systemic Risk, Economic Shock, Financial Contagion, Global Equities Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper relies on qualitative analysis and sector descriptions without advanced mathematical models, and the empirical component is limited to basic stock price observations and news citations rather than rigorous backtesting or data analysis. flowchart TD A["Research Goal:<br>Assess COVID-19 impact on markets and identify investment strategies"] --> B{"Key Methodology"}; B --> C["Data: Global Equities, Volatility Indices, Economic Indicators"]; B --> D["Analysis: Systemic Risk &<br>Financial Contagion Modeling"]; C --> E["Computational Process:<br>Shock Simulation & Volatility Correlation"]; D --> E; E --> F["Key Findings & Outcomes"]; F --> G["Identified High-Risk Sectors"]; F --> H["Revealed Opportunities in Resilient Assets"]; F --> I["Strategic Recommendations for Mitigating Economic Shock"];