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Samet Gunay

Researcher at American University of the Middle East

Publications -  45
Citations -  528

Samet Gunay is an academic researcher from American University of the Middle East. The author has contributed to research in topics: Volatility (finance) & Stock market. The author has an hindex of 8, co-authored 35 publications receiving 235 citations. Previous affiliations of Samet Gunay include Istanbul Arel University.

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Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19.

TL;DR: Positive and economically meaningful spillovers from falling oil prices to both renewable energy and coal markets are found, however, this result is only found for the narrow portion of the authors' sample surrounding the negative WTI event.
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COVID-19 social distancing and the US service sector: What do we learn?

TL;DR: In this paper, the authors investigated the impact of COVID-19 social distancing on the US service sector and found that the relationship between airlines and entertainment venues is unstable, restaurants and hotels demonstrate stable co-movement.
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A New Form of Financial Contagion: COVID-19 and Stock Market Responses

TL;DR: In this paper, the influence of the COVID-19 pandemic on six different stock markets was examined for four different time intervals to reveal the effect of the contagion phenomenon.
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Comparing COVID-19 with the GFC: A shockwave analysis of currency markets

TL;DR: In this article, the authors analyzed the effect of the COVID-19 pandemic on currency markets, with a comparison to the global financial crisis (GFC), employing Kapetanios m-break unit root test, investigations of standalone risk measures (downside variance, upside risk, volatility skewness, Gaussian value at risk, historical VaR, modified VaR) and Diebold-Yilmaz volatility spillover analysis.
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Is political risk still an issue for Turkish stock market

TL;DR: In this paper, the effects of internal political risk on the Turkish stock market in the period of 2001-2014 were analyzed through various methods to obtain breaks and regimes in the return volatilities of the BIST100 index.