4.6 Article

Time-varying dynamic conditional correlation between stock and cryptocurrency markets using the copula-ADCC-EGARCH model

出版社

ELSEVIER
DOI: 10.1016/j.physa.2019.122295

关键词

Cryptocurrencies; Stock markets; Asymmetric dynamic conditional correlation; Copula

资金

  1. Ministry of Education of the Republic of Korea
  2. National Research Foundation of Korea [NRF-2017S1A5B8057488]

向作者/读者索取更多资源

This study examines the time-varying correlations between six cryptocurrency and S&P 500 index markets using a copula-ADCC-EGARCH model. The increasing influence and usage of cryptocurrencies has led the notion in which it is regarded as risky assets. In order to maximize returns on investment, there must be hedging options to protect investors against potential risks. From empirical analysis, we find the overall time-varying correlations are very low, indicating that cryptocurrency serves as a hedge asset against the risk of S&P 500 stock market. We also show that volatilities respond more to negative shock as compared to positive shock in both markets. Furthermore, we identify Litecoin to be the most effective hedge asset against risk of S&P 500 index. Thus, we conclude that the cryptocurrency might be one of important elements in portfolio diversification. (C) 2019 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据