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This study examines the spillovers and connectedness between oil and the African stock markets under bearish, normal, and bullish market conditions. Using the quantile connectedness method, we find higher spillovers under bearish market conditions than in both tranquil and bullish market conditions. Oil is a net transmitter of spillovers in the African markets. Furthermore, Ghana, Kenya, Nigeria, and South Africa are net receivers of spillovers, and Tunisia, Egypt, Morocco, and Mauritius are net transmitters of spillovers in the lower quantile. In the median quantile, Ghana shifts to being a net transmitter of spillovers, whereas Egypt becomes a net receiver of spillovers. In the upper quantiles, all markets are net transmitters of spillovers, except for Mauritius and Egypt. We find a strong connectedness between oil and the Nigerian market during bearish and tranquil market conditions which alleviates the bullish market scenario. Moreover, spillovers reached the maximum level in early 2020, corresponding to the first wave of the COVID-19 pandemic. The portfolio analysis shows that an optimally weighted portfolio offers the best downside risk for all markets. The hedged portfolio offers the best risk reduction for all economies. [ABSTRACT FROM AUTHOR]

This paper examines frequency dynamic spillovers in return and volatility and the hedging ability of Green Bonds, gold, silver, oil, the US dollar index, and volatility index against downside US stock prices before and during the COVID-19 pandemic outbreak and for the short and long run. To do so, we use the Diebold and Yilmaz (2014), the TVP-VAR model, and the frequency spillover index by Baruník and Křehlík (2018). We show that the short-term volatility spillovers dominate their long-term counterparts. Green Bond is net transmitters of spillovers in the system at the short term and net receivers at the long term. S&P500 and silver (USDX and oil) are net transmitters (receivers) of short- and long-term spillovers. Gold and VIX are net receivers of short-term spillovers and net transmitters of long-term spillovers. COVID-19 crisis has more effects on the short-term spillover, which reaches its highest level early 2020. COVID-19 and time horizons lead the direction and the magnitude of spillovers. The Quantile-on-Quantile regression analysis shows significant nonlinear relationships between markets under study. More interestingly, we show that green bonds and gold are safe haven assets for US equity investors during COVID-19. On the other hand, a mixed portfolio offers higher diversification benefits. Finally, hedging effectiveness is dependent on COVID-19 and time horizon. [ABSTRACT FROM AUTHOR]

This paper examines the volatility spillovers and the time-frequency dependence between crude oil and stock sectors in the U.S. and China using both wavelet coherence and asymmetric BEKK GARCH models. This study also investigates the impact of the COVID-19 pandemic on spillover effects and portfolio management. The results reveal strong positive co-movements between WTI oil and US sector stock returns at medium and low frequencies particularly in 2020Q1. We find significant long-term co-movements between oil and Chinese sector stock returns (64–128 days). Furthermore, the findings reveal a significant and asymmetric volatility transmission between oil and sector stocks in both the US and Chinese economies. The evidence of spillovers is more pronounced during the COVID-19 period. It is recommended that equity investors should hold more stocks than oil assets to minimize risk without reducing the expected return. Finally, hedging with oil is expensive for U.S. sectors during the pandemic but inexpensive for Chinese sectors. [ABSTRACT FROM AUTHOR]

This study examines the volatility spillovers between the US stock market (S&P500 index) and both oil and gold before and during the global health crisis (GHC). We apply the FIAPARCH-DCC model to the 15-minute intraday data. The results showed negative (positive) conditional correlations between the S&P500 and gold (oil). The time-varying conditional correlations between markets were higher during COVID-19 spread. Moreover, gold offers more diversification gains than oil does during the pandemic. Hedging is more expensive during a pandemic than before. Oil provides higher hedging effectiveness (HE) than gold for all sub-periods. HE was lower during the COVID-19 outbreak for both oil and gold. These findings have important implications for both equity investors and policymakers. • We examined the spillovers between the oil, gold, and S&P500 markets before and during the pandemic. • We show negative (positive) conditional correlations between the S&P500 and gold (oil). • The hedging strategy is more expensive during COVID-19 pandemic spread. • Oil provides higher hedging effectiveness than gold before and during COVID-19. • The hedging effectiveness is lower during COVID-19 outbreak for both oil and gold. [ABSTRACT FROM AUTHOR]

This paper examines the dynamic and frequency spillovers between global Green Bonds (GBs), WTI oil and G7 stock markets using the time–frequency spillover index by Baruník and Křehlík (2018) and wavelet coherency approach. The results show that the spilllovers is dynamic and crisis-sensitive. Furthermore, adding GBs and oil futures to stock portfolio reduces the spillover size during turmoil periods. The short-term spillovers (up to five trading days) represent the largest proportion of the total spillovers. A significant jump in spillovers is observed in the early of COVID-19 outbreak (March–April 2020). Interestingly, Canada, France, Germany, Italy, and UK are the net transmitters of spillovers, whereas Japan and GBs are the net recipients of the spillovers, irrespective of time horizons. Oil and US stock market shift from net contributors in short term to net receipts in medium and long terms. Wavelet coherence analysis reveals significant co-movements between G7 stock markets and both oil and GBs. The co-movements are more pronounced in both medium and long terms and during COVID-19 spread where both oil and GBs lead stock markets. GBs provide higher diversification benefits to G7 investors than oil in the short-term. The hedging is expensive at the long term for GBs and intermediate term for WTI oil. Finally, the hedge effectiveness of crude oil is higher than GBs, irrespective of time horizons. • Asymmetric spillovers between GBs, WTI, and G7 markets. • France and Germany are the net transmitters of spillovers. • GBs and WTI are the net recipients of spillovers. • The spillovers intensify in short-time horizons than in the intermediate and long-terms. • GBs (WTI) is a strong (weak) diversifier against G7 stocks markets. [ABSTRACT FROM AUTHOR]

This study examines the multiscale spillovers and nonlinear causalities between the crude oil futures market and the stock markets of the United States (US), Canada, China, Russia, and Venezuela before and during the COVID-19 pandemic. Using the wavelet coherency method, we find strong co-movement between the oil futures market and these five stock markets, particularly from March 2020 to May 2020 (initial period of the COVID-19 outbreak) at high frequency. Furthermore, we find positive co-movements at low frequency during the overall COVID-19 period. This finding suggests that the bearish trend of stock markets is associated with a downward movement in oil prices. Using the wavelet-based Granger causality approach, we find that the oil and stock indices have less co-movement on a smaller scale but greater movement on a larger scale across all periods. As an exception, the Russian market is significantly influenced by oil prices, even on a small scale, before the COVID-19 period, but not after the beginning of the pandemic. We also find effects in the opposite direction—the Canadian and U.S. markets influence oil prices on a small scale during the COVID-19 period, an effect that is not visible for the U.S. market in the pre-COVID-19 sample. The results also show a significant bidirectional causality from oil to stock markets and vice versa during Russian-Saudi oil price war at high scale. Furthermore, we find that investors should hold more oil futures than stock shares in their portfolios for all periods. This evidence confirms that oil instruments are important for hedging during normal periods and act as safe-haven assets during crisis periods. We observe that the U.S. and Canadian stock markets were more affected by oil price shocks than were other countries. [ABSTRACT FROM AUTHOR]

This paper examines the frequency of spillovers between crude oil futures and the Middle East and North Africa (MENA) stock markets. We use the methodologies proposed by Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) and the wavelet coherency approach. The results show time-varying volatility spillovers in the considered markets. The short-term spillovers are higher than their intermediate-term counterparts. The highest jump in spillovers occurs during the COVID-19 outbreak, followed by the global financial crisis and the recent oil price crash. The spillovers are higher for oil-exporting countries than oil-importing countries. Saudi Arabia, Qatar, and the United Arab Emirates (UAE) are the main contributors to spillovers in the short and intermediate terms. Brent oil, Egypt, Morocco, and Turkey are the net receivers of spillovers in the short term, and they switch to become net contributors to spillovers in the intermediate term. Turkey and oil-exporting stock markets receive more spillovers than oil-importing stock markets irrespective of the time frequency. Wavelet analysis shows evidence of co-movements between oil futures and stock markets at intermediate and low frequencies. The lead–lag relationships between crude oil and stock markets are mixed and time-varying. Moreover, a mixed portfolio offers diversification benefits. Hedging is more expensive during the pandemic period and particularly in the intermediate term compared to the short term. Hedging effectiveness is highest during the COVID-19 pandemic in the short and intermediate terms for almost all markets. [ABSTRACT FROM AUTHOR]

This study examines the spillovers in high-order moments (realized volatility, jumps, skewness, and kurtosis) among European stock sectoral indices. Using 5-minute data from January 2, 2013 to January 7, 2022, we show that the four sources of systemic risk, namely, volatility, jumps, skewness, and kurtosis, are transmitted from four main sectors before and during COVID-19 pandemic. Further, volatilities and jumps (bad volatility) associated with activities of the European energy and chemicals sectors that spillover shocks to other European markets are the greatest sources of systemic risk. Whereas, skewness (asymmetry) and kurtosis (fat-tail) associated with activities of the European industrial and insurance sectors that spillover shocks to other European markets are the greatest sources of systemic risk. [Display omitted] • We examine the spillovers in high-order moments among European stock sectoral indices. • Volatility, jumps, skewness, and kurtosis, are transmitted from four main sectors before and during COVID-19 pandemic. • Volatilities and jumps are associated with activities of the European energy and chemicals sectors. • Skewness and kurtosis are associated with activities of the European industrial and insurance sectors. [ABSTRACT FROM AUTHOR]

• We examine the quantile return spillovers between oil and international REIT. • The extreme oil–REIT nexus is heterogeneous and asymmetric. • The return spillover is stronger at lower quantiles. • The oil market acts as a net transmitter during the downside period. • The hedging strategy is expensive during COVID-19. We examine the quantile return spillovers between oil and international REIT markets (Australia, Belgium, Canada, France, Germany, Hong Kong, Italy, Japan, Netherlands, New Zealand, Singapore, UK, and US). Using a quantile connectedness approach, we show that the extreme oil–REIT nexus is heterogeneous and asymmetric. The return spillover is stronger at lower quantiles. Furthermore, the oil market acts as a net transmitter of return spillovers to the REIT markets during times of downside return and a net receiver of spillovers during upside returns. The hedging strategy is expensive during COVID-19, with oil offering the highest hedging effectiveness for Hong Kong. [ABSTRACT FROM AUTHOR]

Motivated by large oil price swings, high economic and geopolitical uncertainties, and the financialization of oil, this paper examines the frequency spillovers and co-movements between oil shocks (risk and demand) and the stock markets of top oil-producer and consumer countries, namely, Canada, China, Russia, Saudi Arabia, and the US. The analysis uses the time-domain spillover index of [1], the frequency-domain spillover of [2]; and the wavelet coherence approach. The findings reveal that spillovers run from the U.S., Canada, and, to a lesser extent, Russia to oil shocks. On the other hand, oil shocks, Saudi Arabia, and China constitute net receivers of shocks. The intensity of spillovers is heavier in the short-term frequency than in the intermediate- and long-term. Furthermore, the direction of spillovers is more defined in the long-term. The U.S. stock market exerts a strong impact on oil risk in general, but the impact is stronger in the short-term. Conversely, an oil demand shock is susceptible to innovations from Canada and Russia that are stronger in the long-term. This means that oil risk shock stemming from innovations in financial markets is short-lived and dissipates quickly due to quick reactions from market participants. On the contrary, long-term links characterize the relationship between oil demand shock and financial markets, mirroring the macroeconomic nature of the linkages. Finally, while the 2008 crisis, EDC, oil price crash, and the COVID-19 pandemic coincided with strong spillovers in the short-term, the COVID-19 era was marked by higher spillovers in the long term. The findings provide important information for investors and policymakers in terms of diversification, risk management, and efforts to mitigate contagion. • This paper examines the frequency spillovers and co-movements between oil shocks and the stock markets. • We use the time-frequency spillover index method and the wavelet coherence approach. • Spillovers run from the U.S., Canada, and, to a lesser extent, Russia to oil shocks. • Oil shocks, Saudi Arabia, and China constitute net receivers of shocks. • The intensity of spillovers is heavier in the short-term frequency than in the intermediate- and long-term. [ABSTRACT FROM AUTHOR]