Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies

被引:211
作者
Toan Luu Duc Huynh [1 ,3 ]
Hille, Erik [4 ]
Nasir, Muhammad Ali [2 ,5 ]
机构
[1] Univ Econ Ho Chi Minh City, Sch Banking, Ho Chi Minh City, Vietnam
[2] Univ Econ Ho Chi Minh City, Ho Chi Minh City, Vietnam
[3] WHU Otto Beisheim Sch Management, Chair Behav Finance, Vallendar, Germany
[4] HHL Leipzig Grad Sch Management, Econ, Leipzig, Germany
[5] Leeds Beckett Univ, Leeds, W Yorkshire, England
关键词
Artificial intelligence; Portfolio diversification; Green bonds; NASDAQ AI; 4th industrial revolution; Cryptocurrencies; SAFE-HAVEN; STOCK-PRICES; CLEAN ENERGY; CO-MOVEMENT; OIL PRICES; BITCOIN; GOLD; VOLATILITY; DEPENDENCE; TECHNOLOGY;
D O I
10.1016/j.techfore.2020.120188
中图分类号
F [经济];
学科分类号
02 ;
摘要
In the context of the 4th industrial revolution, artificial intelligence (AI) and environmental challenges, this study investigates the role of AI, robotics stocks and green bonds in portfolio diversification. Using daily data from 2017 to 2020, we employ tail dependence as copulas and the Generalized Forecast Error Variance Decomposition to examine the volatility connectedness. Our results suggest that, first, portfolios consisting of these assets exhibit heavy-tail dependence which implies that in the times of economic turbulence, there will be a high probability of large joint losses. Second, volatility transmission is higher in the short term, implying that short-term shocks can cause higher volatility in the assets, but in the long run, volatility transmission decreases. Third, Bitcoin and gold are vital assets for hedging, though the Bitcoin is also affected by its past volatility, a feature it shares with green bonds and NASDAQ AI. During economic downturns, gold may act as a safe haven, as its shock transmission to NASDAQ AI is just around 1.41%. Lastly, the total volatility transmission of all financial assets is considerably high, suggesting that the portfolio has an inherent self-transmitting risk which requires careful diversification. The NASDAQ AI and general equity indexes are not good hedging instruments for each other.
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页数:9
相关论文
共 83 条
[1]   The wrong kind of AI? Artificial intelligence and the future of labour demand [J].
Acemoglu, Daron ;
Restrepo, Pascual .
CAMBRIDGE JOURNAL OF REGIONS ECONOMY AND SOCIETY, 2020, 13 (01) :25-35
[2]   The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment [J].
Acemoglu, Daron ;
Restrepo, Pascual .
AMERICAN ECONOMIC REVIEW, 2018, 108 (06) :1488-1542
[3]   Time-Varying Spillover and the Portfolio Diversification Implications of Clean Energy Equity with Commodities and Financial Assets [J].
Ahmad, Wasim ;
Rais, Shirin .
EMERGING MARKETS FINANCE AND TRADE, 2018, 54 (08) :1838-1856
[4]   On the dynamic dependence and investment performance of crude oil and clean energy stocks [J].
Ahmad, Wasim .
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2017, 42 :376-389
[5]   A time-varying copula approach to oil and stock market dependence: The case of transition economies [J].
Aloui, Riadh ;
Hammoudeh, Shawkat ;
Duc Khuong Nguyen .
ENERGY ECONOMICS, 2013, 39 :208-221
[6]  
[Anonymous], 2012, International conference on financial cryptography and data security
[7]   World gold prices and stock returns in China: Insights for hedging and diversification strategies [J].
Arouri, Mohamed El Hedi ;
Lahiani, Amine ;
Nguyen, Duc Khuong .
ECONOMIC MODELLING, 2015, 44 :273-282
[8]   Total, Asymmetric and Frequency Connectedness between Oil and Forex Markets [J].
Barunik, Jozef ;
Kocenda, Evzen .
ENERGY JOURNAL, 2019, 40 :157-174
[9]  
Baur D G., 2012, Applied Finance Letters, V1, P8
[10]   Bitcoin: Medium of exchange or speculative assets? [J].
Baur, Dirk G. ;
Hong, KiHoon ;
Lee, Adrian D. .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2018, 54 :177-189