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- MakaleAçık Erişim2025Scopus SJRQ1The contagion effect of the FTX cryptocurrency exchange's crash on the stock markets
Gençyürek, Ahmet Galip
The cryptocurrency market is very attractive for investors, but it has experienced several major crises in recent years due to its inadequacies with regard to transparency and auditing. The FTX cryptocurrency exchange's crash was one of the most crucial events for the cryptocurrency market. Therefore, I investigate the contagion impact of the FTX crash on stock markets (S&P 500, TSX, FTSE100, BIST100, SENSEX, SSE, NIKKEI 225, KOSPI 100 and ASX 200), using a time-varying parameter–vector autoregression (TVP-VAR) extended joint connectedness model and covolatility, cokurtosis, and coskewness tests. The empirical findings, based on a daily dataset for the period 2021–2023, indicate that the FTX collapse had a clear contagion impact solely on the BIST 100. One possible explanation for this is that Turkish investors who suffered losses on their FTX investment sought to compensate for their diminishing wealth, especially to meet margin calls, by liquidating their holdings in the BIST 100. Another possible explanation is the inherent fragility of the BIST 100, which prevents it from being perceived as a safe-haven asset during turbulent periods. The findings can help policy makers and investors develop policies and strategies to defend against the contagion impact of cryptocurrencies.
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İncele - MakaleYalnız künye2024Scopus SJRQ2Leading and lagging role between financial stress and crude oil
Gençyürek, Ahmet Galip
Purpose: The crude oil market plays a key role in addressing the issue of energy economics. This paper aims to detect the causality relationship between the crude oil market and economy based on the financial system. Design/methodology/approach: This paper used the static and dynamic Hatemi-J Bootstrap Toda–Yamamoto and Diebold–Yilmaz connectedness index. The Hatemi-J Bootstrap Toda-Yamamoto approach allows researchers to use nonstationary data and that method is robust to nonnormal distribution and heteroscedasticity. The Diebold–Yilmaz connectedness index model provides researchers to detect the power of connectedness besides linkage direction. The analyzed period is the span from January 3, 2005 to October 3, 2022. Findings: The results show bidirectional causality in the full sample but unidirectional causality before and after the 2008 financial crisis. During the 2008 financial crisis period and the COVID-19 period, there was a bidirectional and unidirectional causality, respectively. The connectedness approach indicates that the crude oil market affects financial stress through investors’ risk preferences. Research limitations/implications: The Diebold–Yilmaz spillover index model is based on vector autoregression methods with a stationarity precondition. However, some of the five dimensions that constitute the financial stress index (FSI) are nonstationary in level. Therefore, the authors takes the first difference of the nonstationary data. Practical implications: The linkage between the crude oil market and the FSI provides useful information for investors and policymakers. For instance, this paper indicates that an investor wanted to forecast future value of the crude oil (financial stress) should consider the current and past values of financial stress (crude oil). Moreover, policymaker should consider the crude oil market (FSI) to make a policy proposal for financial system (crude oil market). Originality/value: Recently, indicators of economic activity levels (economic policy uncertainty, implied volatility index) have begun to be considered to analyze the relationship between energy and the economy but very little is known in the literature about the leading and lagging roles of data in subsample periods and the linkage channel. The other originality of this research is using the new econometric approaches.
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