Weak Form Efficiency Of Currency Futures: Evidence From India

Amandeep Kaur, D. Chahal, LATIKA KHARB
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引用次数: 1

Abstract

With the advent of LPG Policy many foreign firms have invested in India and home country firms too have expanded their operations outside the nation which results in greater inflow and outflow of foreign currency and INR giving rise to currency fluctuations, these fluctuations were exposed to more volatility after the US financial crisis of 2008. The increased risk exposure can be mitigated by employing techniques such as hedging, speculation and by using instruments like Futures and Forward contracts. Currency futures have been considered as the best instruments for managing risk against foreign currency exchange rate volatility. Keeping this into consideration the present paper analyses the efficiency of random walk hypothesis by testing currency futures in weak form efficiency post financial crisis of 2008. The sample includes the monthly closing price indices for the period January 2009 to March 2019. The hypothesis tested is whether the currency futures USD/INR are weak form efficient. Statistical tools employed in the study encompasses Runs Test, Autocorrelation Function, Kolmogorov-Smirnov Test (K-S Test), Augmented Dickey Fuller Test (ADF Test), and Ljung Box Test. The results of the employed tests provide evidence on the non-randomness of the time series.
货币期货的弱形式效率:来自印度的证据
随着液化石油气政策的出台,许多外国公司在印度投资,本国公司也扩大了在国外的业务,导致外币和印度卢比的流入和流出增加,导致货币波动,这些波动在2008年美国金融危机后暴露于更大的波动。增加的风险敞口可以通过采用套期保值、投机等技术以及使用期货和远期合约等工具来减轻。外汇期货一直被认为是管理外汇汇率波动风险的最佳工具。考虑到这一点,本文通过检验2008年金融危机后弱形式货币期货的效率来分析随机游走假设的效率。样本包括2009年1月至2019年3月的月度收盘价指数。检验的假设是货币期货美元/印度卢比是弱还是有效。本研究使用的统计工具包括run检验、自相关函数、Kolmogorov-Smirnov检验(K-S检验)、Augmented Dickey Fuller检验(ADF检验)和Ljung Box检验。所采用的检验结果为时间序列的非随机性提供了证据。
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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