Estimating Changing Significance of Determinants of FII Flows to India Over Different Time Periods in a Vector Autoregressive Framework Using Daily Data

T. Chaudhuri, D. Mukhopadhyay, Payal Maskara
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Abstract

This paper aims at exploring the causal relationship between net foreign institutional investment flows to the Indian equity market with its possible covariates based on daily data for the period September 2008 to July 2013. The data has been analyzed in a Vector Autoregressive framework for determining the existence of long run relationships. Augmented Dickey Fuller (ADF) test and Johansen co-integration technique have been adopted for stationary test and co-integration. The explanatory variables chosen are domestic and US equity market returns, historic volatility of both domestic and US equity market returns, expected volatility of both domestic and US equity markets and the rupee dollar exchange rate. The study has been done for different time phases of Indian stock market sentiment to identify whether the explanatory variables chosen differ in their explanation of FII net inflows, controlling for market sentiment.
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在使用每日数据的矢量自回归框架中,估计不同时期流入印度的境外投资决定因素的变化意义
本文旨在基于2008年9月至2013年7月期间的每日数据,探讨外国机构投资净流入印度股票市场与其可能的协变量之间的因果关系。数据在一个矢量自回归框架中进行了分析,以确定长期关系的存在。平稳性检验和协整采用增广Dickey Fuller (ADF)检验和johnson协整技术。选择的解释变量是国内和美国股票市场收益、国内和美国股票市场收益的历史波动率、国内和美国股票市场的预期波动率和卢比美元汇率。该研究针对印度股市情绪的不同时间阶段进行,以确定所选择的解释变量在控制市场情绪的情况下,对FII净流入的解释是否存在差异。
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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