This paper investigates the dynamic interactions between green finance, economic growth, and green energy consumption for the Organization of Economic Cooperation and Development (OECD) members. The econometric analysis is conducted on annual data gathered throughout 2010–2020 using different estimation techniques of the Vector Autoregressive model, causality, and co-integration approaches. The main results confirmed a positive bi-directional relationship between GDP and green energy consumption. In addition, there is a two-way relationship between the volume of green bond issuance and the use of green energy in OECD countries. The recommended practical policy recommendations are establishing a unified green bonds market among OECD member states, prioritizing green projects to support the issued green bonds, improving the financial system, and financing rural electrification and electric vehicle transition by green bonds.
The effect of COVID-induced public anxiety on stock markets, particularly in European stock market returns, is examined in this research. The search volumes for the notion of COVID-19 gathered by Google Trends and Wikipedia were used as proxies for COVID-induced public anxiety. COVID-induced public anxiety was shown to be linked with negative returns in European stock markets when a panel data method was used to a sample of data from 14 European stock markets from January 2, 2020 to September 17, 2020. Using an automated trading system, we used this finding to suggest investment methods based on COVID-induced anxiety. The findings of back-testing indicate that these techniques have the potential to generate exceptional profits. These results have significant consequences for government officials, the media, and investors.
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