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首页> 外文期刊>Australasian Accounting, Business and Finance Journal >Analyzing the Impact of Demonetization on the Indian Stock Market: Sectoral Evidence using GARCH Model
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Analyzing the Impact of Demonetization on the Indian Stock Market: Sectoral Evidence using GARCH Model

机译:分析去货币化对印度股票市场的影响:使用GARCH模型的部门证据

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On 8th November 2016, the Government of India demonetized its two highest currency notes in the denomination of Rs. 500 and Rs. 1000. The purpose of demonetization was to tackle the corruption and black money prevailing in the country. The stock market is one of the areas which pools a large amount of funds, the present study is an analytical attempt to examine the impact of demonetization on Indian stock market. For the purpose of the study, various statistical techniques have been used such as Graphical Analysis, Summary Statistics (i.e. Mean, Standard Deviation, Skewness, and Kurtosis), Augmented Dickey-Fuller Test and GARCH Model. The study utilizes the GARCH model to examine the impact of demonetization on Nifty 50 Index and across sectoral indices in India considering a period of 200 days prior and post event date by framing necessary dummy variables. The study found the data to be stationary using the Augmented Dickey-Fuller Test. A significant negative impact of demonetization on stock market returns was evidenced from Nifty 50 Index and sectoral indices such as Nifty Auto Index, Nifty Financial Services Index, Nifty FMCG Index, Nifty IT Index, Nifty Media Index, Nifty Private Bank Index, and Nifty Realty Index. The study found the Nifty Realty Index to be affected most because of demonetization. The results of the study will help the Governing bodies to examine the impact of demonetization and frame necessary policies. The results will also be useful for investors and other market participants for framing investment and trading strategies.
机译:2016年11月8日,印度政府以卢比面额将其两种最高纸币面值货币化。 500和卢比。 1000.非货币化的目的是解决该国普遍存在的腐败和黑钱问题。股市是汇集大量资金的领域之一,本研究旨在分析去货币化对印度股市的影响。出于研究目的,已使用了各种统计技术,例如图形分析,摘要统计(即均值,标准差,偏度和峰度),增强迪基-富勒检验和GA​​RCH模型。这项研究利用GARCH模型,通过确定必要的虚拟变量,考虑了事件发生日期前后200天的时间,研究了货币贬值对印度Nifty 50指数以及跨部门指数的影响。该研究使用增强Dickey-Fuller检验发现数据是固定的。 Nifty 50指数和部门指数(例如Nifty汽车指数,Nifty金融服务指数,Nifty FMCG指数,Nifty IT指数,Nifty Media指数,Nifty私人银行指数和Nifty Realty)证明了货币化对股票市场收益的重大负面影响。指数。该研究发现,由于取消货币化,Nifty Realty Index受到的影响最大。研究结果将有助于管理机构审查非货币化的影响并制定必要的政策。该结果对于投资者和其他市场参与者制定投资和交易策略也很有用。

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