scholarly journals DID THE US SHALE OIL REVOLUTION RUIN OIL INDUSTRY STOCK MARKET RETURNS?

2020 ◽  
Vol 10 (4) ◽  
pp. 1-8
Author(s):  
Samuel D. Barrows
Keyword(s):  
Stock Market ◽  
Oil Industry ◽  
Shale Oil ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Us

scholarly journals Opportunity or Crisis? Volatility and Leverage Effect in the World’s Largest Economies

2019 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
Amalendu Bhunia ◽  
Devrim Yaman
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Market Volatility ◽  
Future Market ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Us ◽  
The World ◽  
The Impact ◽  
The Relationship

This paper examines the relationship between asset volatility and leverage for the three largest economies (based on purchasing power parity) in the world; US, China, and India. Collectively, these economies represent Int$56,269 billion of economic power, making it important to understand the relationship among these economies that provide valuable investment opportunities for investors. We focus on a volatile period in economic history starting in 1997 when the Asian financial crisis began. Using autoregressive models, we find that Chinese stock markets have the highest volatility among the three stock markets while the US stock market has the highest average returns. The Chinese market is less efficient than the US and Indian stock markets since the impact of new information takes longer to be reflected in stock prices. Our results show that the unconditional correlation among these stock markets is significant and positive although the correlation values are low in magnitude. We also find that past market volatility is a good indicator of future market volatility in our sample. The results show that positive stock market returns result in lower volatility compared to negative stock market returns. These results demonstrate that the largest economies of the world are highly integrated and investors should consider volatility and leverage besides returns when investing in these countries.

scholarly journals DETERMINANTS OF G7 AND CHINESE STOCK MARKET RETURNS DURING COVID-19 OUTBREAK

2020 ◽  
Vol S.I. (1) ◽  
pp. 256-266
Author(s):  
Ahmed JERIBI ◽  
◽  
Mohamed FAKHFEKH ◽  
Keyword(s):  
Growth Rate ◽  
Stock Market ◽  
Financial Markets ◽  
Portfolio Diversification ◽  
Chinese Stock Market ◽  
Market Returns ◽  
Stock Market Returns ◽  
Hedging Strategies ◽  
The Us

The purpose of this paper is to discuss the determinants of G7, and Chinese stock market returns during the COVID-19 outbreak. We find that Bitcoin and Ethereum can generate benefits from portfolio diversification and hedging strategies for G7 financial investors in early 2020. Our result reveals that Gold is neither hedge nor haven during the COVID-19 pandemic. In addition, the results indicated that the expected volatility of the US stock market has no effect on the Japanese and Chinese financial markets. Finally, our results suggest that the growth rate of confirmed COVID-19 cases and deaths has an impact only on the US stock market.

scholarly journals Market expectation shifts in option-implied volatilities in the US and UK stock markets during the Brexit vote

2021 ◽  
Vol 18 (4) ◽  
pp. 366-379
Author(s):  
Artem Bielykh ◽  
Sergiy Pysarenko ◽  
Dong Meng Ren ◽  
Oleksandr Kubatko
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Implied Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Us ◽  
Market Expectations ◽  
Sharpe Ratios ◽  
Risk Free Rate ◽  
Free Rate

This paper investigates the effect of the Brexit vote on the connection between UK stock market expectations and US stock market returns. To gauge UK stock market expectations, the option-implied volatilities of the FTSE 100 index are calculated in the period starting five months before and ending four months after the Brexit referendum. To keep the analysis “clean”, it stops right before the 2016 US presidential elections. It uses an OLS regression to estimate the change in the relationship between US and UK stock market expectations.The main findings show that the US and UK stock markets became somewhat less integrated four months after the Brexit referendum compared to the five months before it. The S&P 500 Index returns have a statistically significant impact on implied volatilities of the FTSE 100 only before the Brexit referendum. However, the British risk-free rate (LIBOR) became a statistically significant factor affecting FTSE 100 implied volatilities only after Brexit. This analysis may be used by decision-makers in the money management industry to act appropriately during Black Swan events. When UK citizens unexpectedly voted in favor of Brexit, the risk-free rate dropped, making it cheaper to invest, increasing the Sharpe ratios of equity portfolios. Coupled with increased uncertainty, this caused portfolio reallocations. In turn, expected volatility measured by options-implied volatility increased. AcknowledgmentThe authors would like to thank Olesia Verchenko for critique, a KSE M.A., external defense reviewer for helpful comments.

scholarly journals Can cryptocurrencies be a safe haven during the novel COVID-19 pandemic? Evidence from the Tunisian Stock Market

2020 ◽  
Vol 3 (1) ◽  
pp. 14-31
Author(s):  
Ahmed Jeribi ◽  
Yasmin Snene Manzli
Keyword(s):  
Growth Rate ◽  
Stock Market ◽  
Portfolio Diversification ◽  
The Novel ◽  
Safe Haven ◽  
Market Returns ◽  
Stock Market Returns ◽  
Ols Regression ◽  
Hedging Strategies ◽  
The Us

In this paper, we discuss the behavior of stock market returns in Tunisia during the COVID-19 outbreak. Using the OLS regression, we find that Bitcoin act as a hedge and Ethereum as a diversifier for Tunisia’s stock market before the COVID-19 outbreak; however, Bitcoin and Ethereum cannot generate benefits from portfolio diversification and hedging strategies for financial investors during the COVID-19. Moreover, Dash, Monero, and Ripple act as hedges before the COVID-19 outbreak and as diversifiers during this pandemic. Our results reveal that gold acts as a hedge and diversifier before the pandemic, but it's neither hedge nor a haven during the COVID-19 pandemic. Besides, the results indicated that the expected volatility of the US stock market has an impact on the Tunisian stock market. Finally, our results indicate that the growth rate of the COVID-19 confirmed cases and deaths harms Tunisia's stock market.

scholarly journals Is There a Connection between Sovereign CDS Spreads and the Stock Market? Evidence for European and US Returns and Volatilities

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1667
Author(s):  
Laura Ballester ◽  
Ana González-Urteaga
Keyword(s):  
Stock Market ◽  
Financial Crises ◽  
Credit Default Swap ◽  
Equity Returns ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
Credit Default ◽  
The Us ◽  
The Relationship

This study complements the current literature, providing a thorough investigation of the lead–lag connection between stock indices and sovereign credit default swap (CDS) returns for 14 European countries and the US over the period 2004–2016. We use a rolling VAR framework that enables us to analyse the connection process over time covering both crisis and non-crisis periods. In addition, we analyse the relationship between stock market volatility and CDS returns. We find that the connection between the credit and equity markets does exist and that it is time variable and seems to be related to financial crises. We also observe that stock market returns anticipate sovereign CDS returns, and sovereign CDSs anticipate the conditional volatility of equity returns, closing a connectedness circle between markets. Contribution percentages in terms of returns are more intense in the US than in Europe and the opposite result is found with respect to volatilities. Within Europe, a greater impact in Eurozone countries compared to non-Eurozone countries is observed. Finally, an additional analysis is also carried out for the financial sector, obtaining results largely consistent with those found using sovereign data.

scholarly journals Did Tom Brady Save the US stock market? Market Anomaly or Market Efficiency?

2019 ◽  
Vol 11 (5) ◽  
pp. 128
Author(s):  
Kofi A. Amoateng
Keyword(s):  
Stock Market ◽  
New England ◽  
Local Economy ◽  
Theoretical Research ◽  
Super Bowl ◽  
Market Returns ◽  
Stock Market Returns ◽  
Winning Team ◽  
Multiplier Effect ◽  
The Us

This study reexamines how the National Football conference (NFC) Super Bowl predictor influences investors’ sentiment to affect U.S. stock market returns from 1967 to 2018. The overall empirical evidence significantly supports the NFC predictor-stock market relationship. Even continuous Super Bowl wins by Tom Brady’s New England Patriots could not overturn the Super Bowl stock market predictor (SBSMP). The false positive evidence by the NFC Super Bowl continues to provide investors with extraordinary returns. While the evidence is positive, there is a need for more theoretical research on the SBSMP. The Super Bowl euphoria can create a multiplier effect on the winning team’s local economy and overall stock market (Edmans et al., 2007) and (Palomino et al., 2009). This anomaly has demonstrated that an investor would have outperformed the market by using the Super bowl indicator. However, its predictive power is statistically declining but empirically significant (Thompson & Sen, 2017).

scholarly journals Structural Breaks and Volatility Persistence of Stock Returns: Evidence from the US and UK Equity Markets

2018 ◽  
Vol 5 (6) ◽  
pp. 76
Author(s):  
Chikashi Tsuji
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Structural Breaks ◽  
Garch Models ◽  
Stock Market Index ◽  
Market Returns ◽  
Stock Market Returns ◽  
Volatility Persistence ◽  
The Us ◽  
Parameter Values

This paper quantitatively investigates the effects of structural breaks on stock return volatility persistence by using the US and UK stock market index return data. Applying two kinds of representative univariate GARCH models of standard GARCH and EGARCH models, we derive the following interesting findings. (1) First, we find that for both the US and UK stock market returns, the volatility persistence parameter values of standard GARCH models decrease when structural breaks are taken into account. (2) Second, we further reveal that for both the US and UK stock market returns, the volatility persistence parameter values of EGARCH models again decline when structural breaks are taken into consideration.

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