Non-random walk in cryptocurrency: An empirical analysis of bitcoin

A. Fraz, Arshad Hassan, Sumayya Chughtai
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Abstract

The current study has examined the informational efficiency of market leader of cryptocurrency i.e, Bitcoin. The daily, weekly and monthly prices of Bitcoin have been used for analysis from 2013 to 2017. The information efficiency has been investigated by using different tests of random walk both parametric and non-parametric. The results indicate the Bitcoin returns are not weak form efficient and the element of random walk is not there.  Hence, the investors have an opportunity to beat the market by using technical trading and get abnormal returns from the predictability of Bitcoin prices.
加密货币中的非随机漫步:对比特币的实证分析
目前的研究检查了加密货币市场领导者的信息效率,即比特币。从2013年到2017年,比特币的每日、每周和每月价格被用于分析。采用参数随机漫步和非参数随机漫步的不同检验方法,研究了随机漫步的信息效率。结果表明,比特币的收益不是弱有效的,不存在随机游走的因素。因此,投资者有机会通过技术交易击败市场,并从比特币价格的可预测性中获得异常回报。
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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