经济政策不确定性与部门波动性:来自印度的多尺度小波Granger因果分析证据

IF 1.2 Q3 BUSINESS, FINANCE Journal of Emerging Market Finance Pub Date : 2022-04-18 DOI:10.1177/09726527221078352
Vamsidhar Ambatipudi, Dilip Kumar
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引用次数: 2

摘要

本研究考察了印度经济政策不确定性(IEPU)与2006-2021年期间印度经济不同部门波动性(SV)之间的关系。将小波相干分析与Granger因果关系检验相结合,使用多尺度相关框架研究了这种关系。研究结果表明,在新冠肺炎期间,IEPU和SV之间的关系在所有部门都更强,主要是在中期。虽然IEPU在全球金融危机(GFC)期间导致了SV,但SV在新冠肺炎期间导致了IEPU。然而,Granger因果关系检验提供的证据表明,从长期来看,SV导致IEPU,而IEPU在短期内导致SV。IT行业至关重要,因为其波动性导致了所有规模的IEPU。这些结果对政策制定者和投资组合经理具有重大意义。JEL代码:G10、G17、G32
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Economic Policy Uncertainty Versus Sector Volatility: Evidence from India Using Multi-scale Wavelet Granger Causality Analysis
The present study examines the relationship between Indian economic policy uncertainty (IEPU) and the different sector volatilities (SVs) of the Indian economy over the period 2006–2021. The relationship is studied using a multi-scale correlation framework, combining wavelet coherence analysis with the Granger causality test. The findings indicate a stronger relationship between the IEPU and SV for all sectors during COVID-19, primarily in the medium term. While IEPU led to SV during the global financial crisis (GFC), the SVs led to the IEPU during the COVID-19. However, the Granger causality test provides evidence that, in the long term, the SVs cause the IEPU while the IEPU leads to SV in the short term. The IT sector is crucial as its volatility leads to IEPU across all scales. These results have substantial implications for policymakers and portfolio managers. JEL Codes: G10, G17, G32
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来源期刊
CiteScore
1.80
自引率
33.30%
发文量
19
期刊介绍: The Journal of Emerging Market Finance is a forum for debate and discussion on the theory and practice of finance in emerging markets. While the emphasis is on articles that are of practical significance, the journal also covers theoretical and conceptual aspects relating to emerging financial markets. Peer-reviewed, the journal is equally useful to practitioners and to banking and investment companies as to scholars.
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