A Cyptocurrency Risk-Return Analysis for Bull and Bear Regimes

被引:3
作者
Barkai, Ittai [1 ,2 ]
Shushi, Tomer [3 ]
Yosef, Rami [4 ,5 ,6 ]
机构
[1] Ben Gurion Univ Negev, Dept Business Adm, Beer Sheva, Israel
[2] OLSPS Marine, Cape Town, South Africa
[3] Ben Gurion Univ Negev, Guilford Glazer Fac Business & Management, Dept Business Adm, Actuarial Sci & Risk Management Program, Beer Sheva, Israel
[4] Ben Gurion Univ Negev, Finance & Actuarial Sci, Beer Sheva, Israel
[5] Dept Business Adm, Insurance & Finance Specialty, Beer Sheva, Israel
[6] Israel Assoc Value Estimat & Financial Actuaries, Rishon Leziyyon, Israel
来源
JOURNAL OF ALTERNATIVE INVESTMENTS | 2021年 / 24卷 / 01期
基金
以色列科学基金会;
关键词
BITCOIN; CRYPTOCURRENCY; PRICE; DOLLAR; MARKET; GOLD;
D O I
10.3905/jai.2021.1.131
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this article, the authors develop a new analytical lens through which to examine the risk-return profiles of bitcoin, litecoin, ripple, and ethereum. Their focus is to understand better the price behavior of individual cryptocurrencies and their influence on one another. To achieve this, they segment each cryptocurrency's time series of returns into disparate bull and bear regimes. They then examine the nature and extent of overlap between these regimes and whether they change over time. They also collect and plot several indicative distributed-denial-of-service attacks against the time series to investigate their possible impact on regime change episodes. Their findings shed light on previously unexplored systemic risk indicators within the cryptomarket as a whole and on the relationship between specific cryptocurrency pairs. These findings enhance the risk management toolkit for investors by revealing potential price behavior contagion patterns between cryptocurrencies pertinent to blended portfolio management. Furthermore, the authors' approach serves as a blueprint for additional research into regime-type overlap within the cryptomarket.
引用
收藏
页码:95 / 118
页数:24
相关论文
共 34 条
[1]   Impact of Successful DDoS Attacks on a Major Crypto-currency Exchange [J].
Abhishta, Abhishta ;
Joosten, Reinoud ;
Dragomiretskiy, Sergey ;
Nieuwenhuis, Lambert J. M. .
2019 27TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING (PDP), 2019, :379-384
[2]   CoVaR [J].
Adrian, Tobias ;
Brunnermeier, Markus K. .
AMERICAN ECONOMIC REVIEW, 2016, 106 (07) :1705-1741
[3]   Bitcoin, gold and the US dollar - A replication and extension [J].
Baur, Dirk G. ;
Dimpfl, Thomas ;
Kuck, Konstantin .
FINANCE RESEARCH LETTERS, 2018, 25 :103-110
[4]   Conditional tail-risk in cryptocurrency markets [J].
Borri, Nicola .
JOURNAL OF EMPIRICAL FINANCE, 2019, 50 :1-19
[5]   Cryptocurrency-portfolios in a mean-variance framework [J].
Brauneis, Alexander ;
Mestel, Roland .
FINANCE RESEARCH LETTERS, 2019, 28 :259-264
[6]   Nonlinear dependence in cryptocurrency markets [J].
Chaim, Pedro ;
Laurini, Marcio P. .
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2019, 48 :32-47
[7]   Cryptocurrency: A New Investment Opportunity? [J].
Chuen, David Lee Kuo ;
Guo, Li ;
Wang, Yu .
JOURNAL OF ALTERNATIVE INVESTMENTS, 2018, 20 (03) :16-40
[8]   The economics of BitCoin price formation [J].
Ciaian, Pavel ;
Rajcaniova, Miroslava ;
Kancs, d'Artis .
APPLIED ECONOMICS, 2016, 48 (19) :1799-1815
[9]  
CoinMarketCap, 2020, TOT MARK CAP
[10]   Exploring the dynamic relationships between cryptocurrencies and other financial assets [J].
Corbet, Shaen ;
Meegan, Andrew ;
Larkin, Charles ;
Lucey, Brian ;
Yarovaya, Larisa .
ECONOMICS LETTERS, 2018, 165 :28-34