COVID-19, clean energy stock market, interest rate, oil prices, volatility index, geopolitical risk nexus: evidence from quantile regression

Purpose The outbreak and the spreading of COVID-19 pandemic have impacted global financial sector, including alternative clean renewable energy sector. This paper aims to assess impact pandemic, on stock market indices sector using quantile regression methods. Design/methodology/approach study utilized daily data sets four major categories stocks: (1) Morgan Stanley Capital International Global Alternative Energy Index, (2) WilderHill Clean (3) Renewable Industrial Index (RENIXX) (4) S&P 500 Index. adopts a multifactor capital asset pricing model. Findings stocks are powerful instruments for diversification. However, volatility index induced by infectious disease is negative significant across quantiles. Practical implications For investors policymakers, considering how uncertainty caused geopolitical influences markets great practical importance. investors, it throws insights into portfolio policy makers, helps devise strategies reboot economy along lines deployment renewables. sheds light green-energy transition has resilience in post-pandemic times. Originality/value can be considered as pioneer that explores nexus between oil prices, interest rates, index, risk upon sources (renewable) situation. results important area decision-making. Additionally, paper's novelty lies explanatory variables associated with Covid 19 pandemic.