Long run commonality in Indian stocks: empirical evidence from national stock exchange of India

IF 2.1 Q3 BUSINESS
Gaurav Kumar, A. Misra
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引用次数: 2

Abstract

Purpose The purpose of this paper is to investigate long-run commonality in liquidity using multiple proxies computed from limited order book data of NIFTY50 stocks. The findings indicate the existence of systematic liquidity or commonality on NIFTY50 market and comprising industries. Design/methodology/approach The sample comprises all intraday transactions corresponding to NIFTY 50 stocks for April 2015. The study runs firm by firm time series regressions to test the concept of long-run commonality, while controlling other effects. Findings Strong evidence is found in support of long-run commonality across three liquidity measures. On the basis of significance (10%) of long-run commonality beta (βLR), the strength of long-run commonality is found to be highest in natural resources and infrastructure sector. Portfolios having greater exposure to these sectors will face diversification risk to a great extent. Practical implications Knowledge of long-run commonality helps portfolio managers in formulating diversification strategies and reshuffling the portfolio over the period. Commonality risk being non-diversifiable is a policy concern for regulators and central bankers. Its empirical evidence will assist in managing exchange organization and thus preventing market crashes because of sudden liquidity evaporation. Originality/value Although there are recent studies documenting commonality in short run, little empirical work has been done on commonality in the long run and in emerging markets such as India. This research contributes to the literature by testing concept of commonality in long-run on NIFTY50 stocks using detailed transaction data from National Stock Exchange.
印度股票的长期共性:来自印度国家证券交易所的经验证据
目的本文的目的是使用从NIFTY50股票的有限订单簿数据计算的多个代理来研究流动性的长期共性。研究结果表明,NIFTY50市场及其所属行业存在系统性流动性或共性。设计/方法/方法样本包括2015年4月与50只NIFTY股票对应的所有盘中交易。该研究对企业间的时间序列进行回归,以检验长期共性的概念,同时控制其他影响。发现有力的证据支持三种流动性指标的长期共性。基于长期共性β(βLR)的显著性(10%),发现自然资源和基础设施部门的长期共性强度最高。对这些行业敞口较大的投资组合将在很大程度上面临多元化风险。实践含义长期共性的知识有助于投资组合经理制定多元化战略,并在这段时间内重组投资组合。不可分散的共性风险是监管机构和央行行长关注的政策问题。它的经验证据将有助于管理交易所组织,从而防止由于流动性突然蒸发而导致的市场崩溃。独创性/价值尽管最近有研究记录了短期内的共性,但从长远来看,以及在印度等新兴市场,对共性的实证研究很少。这项研究通过使用美国国家证券交易所的详细交易数据测试NIFTY50股票的长期共性概念,为文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
25
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