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Islamic financial markets response to uncertainty: an application of quantile-on-quantile approach-US) are taken. Design/methodology/approach: The study employs quantile-on-quantile regression approach to see

What Affects The Ability To Accumulate The Best Applicants By Russian Universities? The Application Of Quantile Regression Model Of Quantile Regression Model

Covid-19 pandemic: Is the crypto market a safe haven? the impact of the first wave on the crypto market. The OLS, quantile, and robust regressions estimates confirmed

Identifying Factors Affecting the Activities of Technology Parks of identification of risks quantile regression is used. This method is not parametrical, and, therefore, does

Asymmetric openness-environment nexus in most open OIC countries: new evidence from quantile-on-quantile (QQ) estimation footprint as environmental indicators, a novel methodology “quantile-on-quantile (QQ)” is used to indicate

THE IMPACT OF INNOVATION ACTIVITY ON SOCIO-ECONOMIC PERFORMANCE: EMPIRICAL EVIDENCE FOR EUROPEAN COUNTRIES productivity or income inequality. Quantile regressions have been used to consider the impact of innovation

On sign-based regression quantilesA sign-based (SB) approach suggests an alternative criterion for quantile regression fit. The SB

Performance of sectoral Islamic indices during COVID-19, the telecommunications sector and the utility sector). This study employs quantile-on-quantile regression and wavelet

Nexus of Bank Income Structure and Risk: Evidence from Balkans and quantile regressions models. The study additionally implemented quantile regression for checking

Unemployment and output dynamics in CIS countries: Okun’s law revisited regressions does not account for possible endogeneity of regressors and the implied inconsistency

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