首页 | 本学科首页   官方微博 | 高级检索  
     


Time and frequency dynamics of connectedness and hedging performance in global stock markets: Bitcoin versus conventional hedges
Affiliation:1. Department of Biostatistics and Bioinformatics, Duke University, Durham, 27710, USA;2. School of Mathematics and Statistics, Central South University, Changsha, 410083, China;3. Institute of Metal Resources Strategy, Central South University, Changsha, 410083, China;4. School of Business Administration, Hunan University, Changsha, 410082, China
Abstract:Some studies have revealed the hedging ability of Bitcoin against stock markets, but the knowledge of how it compares with other hedges is in its infancy. This paper presents the first study on time-frequency domain connectedness and hedging among five hedges (Bitcoin, crude oil, commodities, gold and the U.S. dollar (USD) index) and four stock indices (developed markets ex U.S., emerging markets ex China, U.S. and China). We find that the connectedness between hedges and stock markets varies by time across time horizons. Specifically, the connectedness between Bitcoin and stock indices is the smallest among all hedges, especially for the short horizon. Gold and USD are isolated from other markets at longer horizons. The hedging ratio, optimal portfolio weights and hedging effectiveness also vary across investment horizons. For short-term investment, gold has better hedging effectiveness, especially for emerging stock markets and the U.S. stock market. For median- and long-term investment, USD has better performance, especially for developed markets ex U.S. and emerging stock markets. Additionally, although Bitcoin has good hedging properties, it has high volatility compared with other hedging assets. In other words, if Bitcoin is included in a portfolio, investors should pay attention to its wide variation. These empirical findings highlight the important role that gold and USD play in hedging against global stock markets.
Keywords:Bitcoin  Stock  Frequency analysis  Wavelet-based DCC-GARCH model  Connectedness  Hedging ability
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号