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A revisit to how linkages fuel dependent economic policy initiatives Empirical evidence from US and BRIC financial stress indices

机译:促进燃料依赖经济政策倡议如何互息经济政策举措来自美国和金融金融压力指数的经验证据

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Purpose - The authors aim to report empirical linkages between the US and Brazil, Russia, India and China (BRIC) financial stress indices catalyzing catalyzing dependent economic policy initiatives (an extended version of Singh and Singh, 2017a). Design/methodology/approach - Initially, the study develops financial stress indices for the respective BRIC financial markets. Later, it captures linkages among the said US-BRIC indices by using Johansen cointegration, vector autoregression/vector error correction models (VECM), generalized impulse response functions, Toda-Yamamoto Granger causality, variance decomposition analyses and bivaiiate generalized autoregressive conditional heteroskedasticity (GARCH) model under constant conditional correlation framework, in general. Markov regime switching and efficient causality tests proposed by Hill (2007) are also used. Findings - Overall, there are both short-run and long-run dynamic interactions observed between the US and Indian financial stress indices. For rest of the markets, only short-run interactions are found to be in existence. The time-varying co-movement coefficients report financial contagion impact of the US financial crisis on Russian and Indian financial systems only. Contrary to this, Brazilian and Chinese financial systems are largely exhibiting interdependence with the US financial system. Efficient causality tests report indirect impact of the Russian financial system on Brazilian via auxiliary Indian financial system. Originality/value - The present study is the first of its kind capturing linkages among the US-BRIC financial stress indices by using diverse econometric models. The results support different market participants and policymakers in understanding effectiveness and implementation of economic policies while considering their cross-market interactions as well.
机译:目的 - 提交人旨在报告美国和巴西,俄罗斯,印度和中国(BRIC)财务压力指数之间的实证联系催化依赖于依赖经济政策举措(辛格和辛格,2017A的辛格,2017年)。设计/方法/方法 - 最初,该研究为各自的金融市场制定了财务压力指标。后来,通过使用约翰森协整,向量自动投掷/矢量误差校正模型(VECM),广义脉冲响应函数,TODA-Yamamoto Granger因果关系,方差分解分析和Bivaiiate广义归共条件异质痉挛(GARCH)来捕获联系)在恒定条件相关框架下的模型,一般。 Markov制度切换和高效的山丘(2007)提出的应有的因果关系测试。调查结果 - 总体而言,美国和印度财务压力指数之间观察到短期和长期的动态交互。对于剩下的市场,发现仅存在短期交互。时代的合作系数报告了美国金融危机的金融蔓延的影响,只对俄罗斯和印度金融系统。与此相反,巴西和中国金融系统在很大程度上与美国金融体系相互依存。高效的因果关系测试报告俄罗斯金融系统通过辅助印度金融体系对巴西的间接影响。原创性/值 - 本研究是通过使用各种计量模型来捕获美国 - 金融压力指标之间的联系。结果支持不同的市场参与者和政策制定者,了解经济政策的有效性和实施,同时考虑到他们的交叉市场互动。

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