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<p>In this study, we examine the nexus between crude oil prices, clean energy investments, technology companies, and energy democracy. Our dataset incorporates four variables which are S & P Global Clean Energy Index (SPClean), Brent crude oil futures (Brent), CBOE Volatility Index (VIX), and NASDAQ 100 Technology Sector (DXNT) daily prices between 2009 and 2021. The novelty of our study is that we included technology development and market fear as important factors and assess their impact on clean energy investments. DCC-GARCH models are utilized to analyze the spillover impact of market fear, oil prices, and technology company stock returns to clean energy investments. According to our findings when oil prices decrease, the volatility index usually responds by increasing which means that the market is afraid of oil price surges. Renewable investments also tend to decrease in that period following the oil price trend. Moreover, a positive relationship between technology stocks and renewable energy stock returns also exists.</p>
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Purpose -A mix of legacy drug makers and small startups have stepped forward with plans to develop vaccines or treatments that target the infection caused by Covid-19. In this paper, we examine whether COVID-19 related news triggers investment to pharma and biotech companies. Methodology We investigate the news impact of the pandemic on global pharmaceuticals and biotechnology industry stock returns by utilizing EGARCH models and News Impact Curves Findings-Due to our results, there are outstanding companies such as Gilead with its remdesivir which was originally developed to treat the Ebola virus and Dynavax partnering with vaccine developer companies to use its technology.
Conclusion-The asymmetry in the NICs for the favor of good news suggests that companies like Gilead and Dynavax are priced by the market with an expectation to find the cure or play an important part in this process.
In this paper, we investigate the integration of financial derivatives with crude oil prices. The novelty of our paper is its focus on the impact of energy related exchange related funds (exchange traded funds [ETFs]) on crude oil prices. In the previous studies this relationship was studied only between equity markets and crude oil markets however, ETFs are now a crucial tool for information dispersion. First, we examine price discovery of crude oil prices by utilizing causality tests. We conclude that price discovery does not flow consistently from the futures to spot markets or vice versa. The causality is mostly bi-directional from futures market to spot markets for crude oil. Coherently, futures market drives energy-based ETFs market however cross market information increases the explanation power of volatility. Secondly, we tested whether there is any interaction between price volatility, the crude oil prices and energy-based ETF markets by employing EGARCH models using 5-min data. We used three different volatility measures which are square return, Garman and Klass (1980), Rogers and Satchell (1991) and Rogers et al. (1994).
There has probably never been as big a divergence between markets and economies as there is in the pandemic period. This paper is an attempt to test the ‘time-varying’ and ‘time-scale dependent’ volatilities of major technology stocks, FAANG and Microsoft, for analyzing the possibility of a second technology bubble in the markets. Consistent with the results of DCC-GARCH models, our analysis based on the application of the Wavelet approach also indicates that major technology behave and move as if they were all one stock in the pandemic period which makes us to be cautious about a second dotcom crisis since %26 of S&P 500 market cap is driven by FAANG and Microsoft stocks.
JEL classification numbers: C58, D53, O14.
Keywords: Dot-com crisis, tech bubble, DCC-GARCH, FAANG, Wavelet.
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