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Price overreactions in the cryptocurrency market

机译:加密货币市场中的价格过度反应

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PurposeThe purpose of this paper is to examine price overreactions in the case of the following cryptocurrencies: bitcoin, litecoin, ripple and dash.Design/methodology/approachA number of parametric (t-test, ANOVA, regression analysis with dummy variables) and non-parametric (MannWhitney U-test) tests confirm the presence of price patterns after overreactions: the next day price changes in both directions are bigger than after normal days. A trading robot approach is then used to establish whether these statistical anomalies can be exploited to generate profits.FindingsThe results suggest that a strategy based on counter-movements after overreactions is not profitable, whilst one based on inertia appears to be profitable but produces outcomes not statistically different from the random ones. Therefore, the overreactions detected in the cryptocurrency market do not give rise to exploitable profit opportunities (possibly because of transaction costs) and cannot be seen as evidence against the efficient market hypothesis (EMH).Originality/valueThe overreactions detected in the cryptocurrency market do not give rise to exploitable profit opportunities (possibly because of transaction costs) and cannot be seen as evidence against the EMH.
机译:目的本文的目的是检查以下加密货币的价格过度反应:比特币,莱特币,涟漪和破折号设计/方法/方法大量参数(t检验,方差分析,带虚拟变量的回归分析)和非参数(MannWhitney U检验)测试确认了过度反应后价格模式的存在:第二天,两个方向的价格变化都比正常天后大。然后使用交易机器人方法来确定是否可以利用这些统计异常来产生利润。结果表明,基于过度反应后的反向运动的策略不会盈利​​,而基于惯性的策略似乎是盈利的,但不会产生结果统计上与随机样本不同。因此,在加密货币市场中检测到的过度反应不会产生可利用的利润机会(可能是由于交易成本),并且不能被视为有效市场假说(EMH)的证据。原始数据/价值在加密货币市场中检测到的过度反应不会产生可利用的利润机会(可能是由于交易成本),不能被视为反对EMH的证据。

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