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首页> 外文期刊>Global Business Review >Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures
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Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures

机译:使用方差比检验检验Mar假设:来自NCDEX大豆期货高频数据的证据

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摘要

The aim of the article is to examine the martingale hypothesis of market efficiency on high-frequency data of the soya bean futures traded in National Commodity and Derivatives Exchange (NCDEX) of India using multiple variance ratio (VR) tests from February 2015 to August 2015. The study employs high-frequency future prices of 5, 10, 15, 30 and 60 min time intervals mainly to decipher the efficiency of processing information by soya bean traders during intraday sessions of futures trading. The results of VR tests confirm that except prices of 5 and 10 min intervals which displays weak form of market efficiency, all other samples follow martingale hypothesis. The findings suggest that as information gets absorbed promptly in the intraday NCDEX soya bean futures prices, there exists fairly less opportunities to explore any trading strategy for profitable outcomes in the soya bean futures market in India.
机译:本文的目的是使用2015年2月至2015年8月之间的多元方差比(VR)检验,对在印度国家商品和衍生品交易所(NCDEX)交易的大豆期货的高频数据进行市场效率的mar假设,该研究采用5、10、15、30和60分钟时间间隔的高频期货价格,主要目的是破译大豆交易员在期货盘中交易时段处理信息的效率。虚拟现实测试的结果证实,除了间隔5分钟和10分钟的价格显示出较弱的市场效率形式外,所有其他样本都遵循mar假设。研究结果表明,随着信息迅速被盘中NCDEX大豆期货价格吸收,在印度的大豆期货市场上探索任何交易策略以获利的机会就很少了。

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