Cryptocurrency Safe Haven Property against Indonesian Stock Market During COVID-19

Mudita Gunawan, A. Anggono
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引用次数: 2

Abstract

Safe-haven assets conserve their value or grow against another asset or portfolioduring market turmoil. Indonesian stock market, represented by the Jakarta composite index (JKSE), plunged in price because of COVID-19, pushing investors to look for safe-havens. The cryptocurrency began to be perceived as a store of value as indicated by the transaction volume increase; hence it was expected to be a safe haven asset. However, cryptocurrency’s high price volatility cast doubts on its store of value effectiveness, prompting inspection for its safe haven property as well. This research aimed to predict the assets' risk and return plus investigate whether cryptocurrency is safe haven assets against the Indonesian stock market during COVID- 19. Daily closing prices of JKSE, Bitcoin, Ethereum, Litecoin, and Ripple were used, then the GARCH model was implemented in the forecasting. DCC-GARCH model, followed by dummy variable regression, will be applied to the return data to evaluate the safe haven property. The prediction projected Bitcoin as the most profitable asset andRipple as the riskiest. The analysis and robustness test suggested that none of these cryptocurrencies were safe haven assets during the whole observation. This indicates that investors who intend to seek safe haven investments were advised against investing in these cryptocurrencies.
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2019冠状病毒病期间印尼股市的加密货币避险资产
在市场动荡期间,避险资产可以保值或相对于其他资产或投资组合增值。以雅加达综合指数(JKSE)为代表的印尼股市因新冠肺炎疫情暴跌,投资者纷纷寻求避险。交易量的增加表明,加密货币开始被视为一种价值储存手段;因此,它被认为是一种避险资产。然而,加密货币的高价格波动性引发了对其价值储存有效性的质疑,促使人们对其避险属性进行检查。本研究旨在预测资产的风险和回报,并调查加密货币在COVID- 19期间是否为印尼股市的避险资产。采用JKSE、比特币、以太坊、莱特币和瑞波币的日收盘价,运用GARCH模型进行预测。运用DCC-GARCH模型,再运用虚拟变量回归对回归数据进行评估。该预测预测比特币是最赚钱的资产,而瑞波币是风险最大的资产。分析和稳健性测试表明,在整个观察过程中,这些加密货币都不是避险资产。这表明,有意寻求避险投资的投资者被建议不要投资这些加密货币。
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