2019
DOI: 10.1016/j.najef.2019.03.016
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Assessment of asymmetric effects on exchange market pressure: Empirical evidence from emerging countries

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Cited by 20 publications
(11 citation statements)
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“…This is evident in the bounds cointegration test results, which improved after we accounted for structural breaks on either the linear or asymmetric ARDL model Although not as pronounced as the effect of structural breaks on cointegration, the results also raise a strong case for accounting for asymmetry. We report differing impacts of positive and negative interest rate differentials on the exchange rates across the four samples, supporting previous studies (e.g., Li, 2011;Jackman et al, 2013;Ozcelebi, 2019).…”
Section: A Main Resultssupporting
confidence: 88%
See 1 more Smart Citation
“…This is evident in the bounds cointegration test results, which improved after we accounted for structural breaks on either the linear or asymmetric ARDL model Although not as pronounced as the effect of structural breaks on cointegration, the results also raise a strong case for accounting for asymmetry. We report differing impacts of positive and negative interest rate differentials on the exchange rates across the four samples, supporting previous studies (e.g., Li, 2011;Jackman et al, 2013;Ozcelebi, 2019).…”
Section: A Main Resultssupporting
confidence: 88%
“…Similarly, Rocha (2012) demonstrates that asymmetries are present even in the dynamics of the interest rate in terms of nonlinear interactions, impacting the financial channel of monetary policy. Overall, empirically, the nonlinear relation between interest rate and exchange rate is informed by the studies of Jackman et al (2013), Li (2011), and Ozcelebi (2019). Notably, Christodoulakis and Mamatzakis (2013) indicate that asymmetry is an important consideration in determining the exchange rates of the G7 countries, which the present study explores.…”
Section: Introductionmentioning
confidence: 76%
“…To ensure the linearity of the model, following Ozcelebi and Tokmakciogul (2022) and Ozcelebi (2019), the Ramsey Regression Equation Specification Error Test (RESET) was used in the regression. The result shows that the model is free of error specification, and we fail to reject the null that the fitted regression is free of error specification since the t value is 0.7826 with a p value of 0.4394.…”
Section: Data and Data Descriptionmentioning
confidence: 99%
“…Within the TVP-SVAR model, considering the stochastic volatility model framework of Primiceri (2005) and Nakajima (2011), and in line with Lorusso and Pieroni (2018), we analysed the impacts of the GPR indices of Brazil, Russia, India, and China on crude oil futures, incorporating the role of oil aggregate demand which can be proxied by the real economy activity. The asymmetric impacts are considered in the estimation process of the TVP-SVAR by including variables decomposed into cumulative positive and negative sums in line with Hatemi-J (2014), El-Khatib (2016), andOzcelebi (2019). Thus, our study following the framework of Kilian (2009) differs from other studies which use SVAR modelling (Caldara et al, 2019;Gong & Lin, 2018;Kang et al, 2019;Lorusso & Pieroni, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%