The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies
Open accessAbstract
Abstract 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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Cites
1 retracted
RETRACTED: Cryptocurrencies as a financial asset: A systematic analysis
Corbet, S., Lucey, B., Urquhart, A., & Yarovaya, L. (2019) · International Review of Financial Analysis · doi:10.1016/j.irfa.2018.09.003 · Cited by 1,172
RetractedAcemoglu, D., & Restrepo, P. (2018) · American Economic Review · doi:10.1257/aer.20160696 · Cited by 3,121
The effect of pro-environmental preferences on bond prices: Evidence from green bonds
Zerbib, O. D. (2019) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2018.10.012 · Cited by 1,379
Financing the Response to Climate Change: The Pricing and Ownership of U.S. Green Bonds
Baker, M., Bergstresser, D., Serafeim, G., & Wurgler, J. (2018) · doi:10.3386/w25194 · Cited by 493
Cited by
Chen, D., Esperança, J. P., & Wang, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.884830 · Cited by 198
FinTech in the Small Food Business and Its Relation with Open Innovation
Najib, M., Ermawati, W. J., Fahma, F., Endri, E., & Suhartanto, D. (2021) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc7010088 · Cited by 141
The impact of digital finance on pollutants emission: evidence from Chinese cities
Wan, J., Pu, Z., & Tavera, C. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-18465-4 · Cited by 75
Ilkay, S. C., Yilanci, V., Ulucak, R., & Jones, K. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113033 · Cited by 71
Metadata
- Authors
- Huynh, T. L. D., Hille, E., & Nasir, M. A.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 159
- Pages
- 120188
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3041481953
- Cited by
- 336
- References
- 4
- FWCI
- 42.16
- Type
- journal article
- Language
- en
- Open access
- green
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- Huynh, T. L. D., Hille, E., & Nasir, M. A. (2020). Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2020.120188
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