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Browse by Author "Emrah Ismail Cevik"

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    Publication
    Bank default indicators with volatility clustering
    Emrah Ismail Cevik; Sel Dibooglu; Turalay Kenc (Springer-Verlag GmbH, 2021)

    We estimate default measures for US banks using a model capable of handling volatility clustering like those observed during the Global Financial Crisis (GFC). In order to account for the time variation in volatility, we adapted a GARCH option pricing model which extends the seminal structural approach of default by Merton (J Finance 29(2):449, 1974) and calculated "distance to default" indicators that respond to heightened market developments.With its richer volatility dynamics, our results better reflect higher expected default probabilities precipitated by the GFC. The diagnostics show that the model generally outperforms standard models of default and offers relatively good indicators in assessing bank failures.

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    Enhancing banking systemic risk indicators by incorporating volatility clustering, variance risk premiums, and considering distance-to-capital
    Emrah Ismail Cevik; John W. Goodell; Samet Gunay; Turalay Kenc (Elsevier Inc., 2025)

    We develop a systemic risk indicator approach using a structural GARCH option-based default risk framework incorporating volatility clustering, variance risk premiums, along with distance-to-capital features. We apply our model to the U.S. banking sector, testing its explanatory and forecasting power. Our model successfully identifies the most systemically risky banks during heightened systemic-risk episodes. Comparing our results to related approaches, especially the respected indicator of the Federal Reserve Bank of Cleveland, we evidence markedly improved performance. Given the recent implosion of Silicon Valley Bank, exploring new approaches to constructing banking systemic risk indicators should be of great interest to regulators and policy makers.

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    Global corporate tax policy space
    Emrah Ismail Cevik; Turalay Kenc (Elsevier B.V., 2024)

    This study investigates the economic growth implications of ongoing and prospective rises in corporate tax rates following G20 countries' minimum corporation tax agreement. We use a panel data estimation approach to examine economic growth rates and associated macro-economic variables of 42 nations from 1990 to 2017. To elicit more comprehensive insights, we make a distinction between advanced countries (ACs) and emerging market economies (EMEs) and different levels of growth using a quantile estimation approach. The results reveal that corporate tax rate rises depress growth, with a relatively sizeable impact for EMEs, whereas it is not statistically significant for ACs. At high quantiles of growth rates, the impact of the corporate tax policy on growth increases. These findings suggest a dual effect for EMEs with relatively high growth rates and symmetric growth effects of corporate tax changes, necessitating innovative policy prescriptions to address the negative growth impact of prospective higher corporate tax rates.

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