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This study explores the impact of the COVID-19 pandemic on the performance of the US travel and leisure stock, using daily data sets from December 31, 2019 to December 2, 2020. Applying the multifactor model, which is an extension of the capital asset pricing model, the study examines how governmental announcements and policy measures to contain the pandemic situation impact the stock prices, controlling for confirmed cases, growth rates, and death rates owing to the pandemic. Further, to reduce the potential bias in heterogeneity, crucial macroeconomic regressors such as oil prices, exchange rates, and a volatility index are included. The study obtains a heterogeneous impact across quantiles. Government stringency measures negatively impact the travel and leisure stock prices, while the announcement of economic support programs positively impacts the stocks, particularly at the high-end quantiles. We advocate that the introduction of asset-light and fee-based strategies will enable the firms to overcome the adverse implications of the pandemic in the long run. This study offers major insights for protecting and developing the recovery of the travel and leisure stock market by considering the importance of government interventions and their effective implementation. [ABSTRACT FROM AUTHOR]

• Residential energy use and residential energy expenditure behaviour are examined. • The study us quantile and multiple wavelet coherency analyses. • United States data over 1984Q1 to 2020Q4 was analyzed. • Socioeconomic conditions and temperature have significant predictive power. • The ethnic diversity and income inequality shows positive impacts on energy use and energy expenditures. The current research explores the residential energy use and residential energy expenditure behavior, induced by ethnic diversity, income inequality and climate characteristics. In doing so, the authors use the data on United States from 1984Q1 to 2020Q4 and employ the recent multiple wavelet and quantile coherency methods. Based on the pairwise wavelet coherency results we find that as far as the coherence across the pairs-- residential energy use vs ethnic tensions again residential energy use vs socio economic conditions, and residential energy vs GINI measure of inequality is concerned there are indications of strong coherence during the short and medium term. The coherencies get intensified during periods of 2001, 2009 and 2020. The direction of arrows was left ward oriented demonstrating that lack of energy expenditure or alternatively speaking energy poverty precedes ethnic crisis. In contrary there are strong pairs of negative correlation in the (0.95|0.95) quantiles for residential energy expenditure and the interaction term on heating and cooling. Such findings imply that conditions of buildings are major drivers on the energy expenditure across time scales. The findings on hand are in line with the COP 26 declarations and report practical implications apropos the achievement of sustainable development goals. [ABSTRACT FROM AUTHOR]