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A dynamic relationship between crude oil price and Indian equity market: an empirical study with special reference to Indian benchmark index Sensex

机译:原油价格与印度股权市场的动态关系:特别参考印度基准指数Sensex的实证研究

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摘要

Purpose - The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000-2018. Design/methodology/approach - The study uses the augmented Dickey-Fuller test for the presence of unit root, Johansen cointegration test for estimating the cointegration among the variables. Further, in the case of no cointegration found, the study employed the vector autoregression (VAR) model to estimate the long-run relationship and the Granger causality/Wald test for short-run relationship. The study also conducted tests for the prerequisites of the model: serial correlation, heteroskedasticity and normality of data. Findings - The study found that both the variables, crude oil prices and Sensex are integrated of order 1, that is, I (1), and there is no cointegration between them. Further, the results proliferated from the VAR model unfold the marked effect of previous month crude oil prices (lag 1) on the movement of Indian stock market represented by Sensex considered as the benchmark index. Furthermore, VAR-Granger causality/block exogeneity Wald tests results indicated that there is a causal relationship between the crude oil prices and Sensex under the VAR environment. The model does not have any serial correlation and heteroskedasticity indicating toward the unbiased and robust estimates. Research limitations/implications - The study is conducted till the year 2018, and data for the present period (post-2018) is excluded due to ongoing trade issues between the USA and oil-exporting countries such as Iran. The current COVTD-19 outbreak has also put serious issues. Due to limited time and availability of standardized data, researchers have considered Sensex as equity index only, but for more generalized research outcome few other equity indexes could have been taken for study. Originality/value - The study is completely original in nature and is an extensive study of the relationship between the crude oil price and Indian stock market with reference to causality between the variables.
机译:目的 - 该研究的目的是调查原油价格与2000-2018期间原油价格与Sensex运动之间的长期动态关系。设计/方法/方法 - 该研究采用了对单位根的存在,约翰逊协整测试来估算变量中的协整的ConIntegration测试。此外,在没有结合的情况下发现,该研究采用了载体自动增加(var)模型来估计短跑关系和GRANGER因果关系/ WALD测试以进行短期关系。该研究还对模型的先决条件进行了测试:序列相关性,异源性和数据常态。结果 - 研究发现,变量,原油价格和SenseX都是订单1的综合,即我(1),它们之间没有结合。此外,从VAR模型增殖的结果展开了上个月原油价格(LAG 1)对被视为基准指数所代表的印度股票市场运动的显着效果。此外,var-granger因果关系/阻止异质性沃尔德测试结果表明,在var环境下原油价格与Sensex之间存在因果关系。该模型没有任何串行相关性和异源性,表明朝向非偏见和稳健的估计。研究限制/影响 - 该研究进行了2018年,目前的数据(2018年第2018年)由于美国和石油出口国等伊朗等贸易问题而被排除在外。目前的Covtd-19爆发也会提出严重问题。由于标准化数据的有限和可用性,研究人员仅考虑了Sensex作为股票指数,但对于更广泛的研究结果,可以采取较少的其他股权指数进行研究。原创性/价值 - 该研究完全是原始的,是对原油价格与印度股市之间的关系的广泛研究,参考变量之间的因果关系。

著录项

  • 来源
    《Benchmarking》 |2021年第2期|582-599|共18页
  • 作者单位

    Department of Humanities and Social Sciences Motilal Nehru National Institute of Technology Allahabad India;

    Department of Humanities and Social Sciences Motilal Nehru National Institute of Technology Allahabad India;

    Department of Humanities and Social Sciences Motilal Nehru National Institute of Technology Allahabad India;

    Department of Humanities and Social Sciences Motilal Nehru National Institute of Technology Allahabad India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Association; Causality; Crude oil prices; Sensex; Vector autoregression;

    机译:协会;因果关系;原油价格;sensex;传染媒介自动增加;

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