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Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence

Issue Published : November 30, 2022
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Functions of Artificial Intelligence, Income Investment Instrument, and Crypto Money in Era of The Fourth Revolution

https://doi.org/10.34306/italic.v1i1.205
Cicilia Sriliasta
University of Esa Unggul
Dewi Sri Surya Wuisan
University of Pelita Harapan
Tatik Mariyanti
University of Trisakti

Corresponding Author(s) : Cicilia Sriliasta

[email protected]

International Transactions on Artificial Intelligence, Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Article Published : November 27, 2022

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Abstract

This research examines those related to Artificial Intelligence, stock robotics, and revenue intruments portfolio diversity in the context of the Fourth Industrial Revolution era, artificial intelligence, and concern for the environment. First, our results suggest that a portfolio of these assets is highly dependent, suggesting that large mutual losses are likely to occur during times of disruption in the economy. Second, it supports a large market mood in the near future, indicating that this disruption in the approaching time can increase the market mood of assets, while to support the market mood decreases for a long time.

Keywords

Artificial Intelligence Portofolio Diversity Revenue Instruments NASDAQ AI Fourth Industri Revolution Crypto Money

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References
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  2. J. Junttila, J. Pesonen, and J. Raatikainen, “Commodity marketbased hedging against stock market risk in times of financial crisis: The case of crude oil and gold,” Journal of International Financial Markets, Institutions and Money, vol. 56, pp. 255–280, 2018.
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  7. F. Fang, C. Ventre, M. Basios, L. Kanthan, D. Martinez-Rego, F. Wu, and L. Li, “Cryptocurrency trading: A comprehensive survey,” Financial Innovation, vol. 8, no. 1, 2022.
  8. M. J. Hamayel and A. Y. Owda, “A novel cryptocurrency Price prediction model using GRU, LSTM and bi-LSTM machine learning algorithms,” AI, vol. 2, no. 4, pp. 477–496, 2021.
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  17. P. Dziekański and A. Pawlik, “Financial situation of cities with Poviat Rights in eastern Poland Voivodships in 2009-2017,” Economic development: global trends and national peculiarities, 2020.
  18. N. Fligstein, J. Stuart Brundage, and M. Schultz, “Seeing like the Fed: Culture, cognition, and framing in the failure to anticipate the financial crisis of 2008,” American Sociological Review, vol. 82, no. 5, pp. 879–909, 2017.
  19. P. M. Demarzo, R. Kaniel, and I. Kremer, “Diversification as a public good: Community effects in portfolio choice,” The Journal of Finance, vol. 59, no. 4, pp. 1677–1716, 2004.
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Read More

References


“Stocks for the Long Run: The Definitive Guide to financial market returns and long-term investment strategies,” Choice Reviews Online, vol. 45, no. 09, 2008.

J. Junttila, J. Pesonen, and J. Raatikainen, “Commodity marketbased hedging against stock market risk in times of financial crisis: The case of crude oil and gold,” Journal of International Financial Markets, Institutions and Money, vol. 56, pp. 255–280, 2018.

A. Roy, “The Fourth Industrial Revolution,” Journal of International Consumer Marketing, vol. 32, no. 3, pp. 268–270, 2020.

A. Oke and F. A. Fernandes, “Innovations in teaching and learning: Exploring the perceptions of the education sector on the 4th Industrial Revolution (4IR),” Journal of Open Innovation: Technology, Market, and Complexity, vol. 6, no. 2, p. 31, 2020.

M. Attaran, “Digital technology enablers and their implications for Supply Chain Management,” Supply Chain Forum: An International Journal, vol. 21, no. 3, pp. 158–172, 2020.

T. Foxon and R. Kemp, “Innovation impacts of environmental policies,” The International Handbook on Environmental Technology Management.

F. Fang, C. Ventre, M. Basios, L. Kanthan, D. Martinez-Rego, F. Wu, and L. Li, “Cryptocurrency trading: A comprehensive survey,” Financial Innovation, vol. 8, no. 1, 2022.

M. J. Hamayel and A. Y. Owda, “A novel cryptocurrency Price prediction model using GRU, LSTM and bi-LSTM machine learning algorithms,” AI, vol. 2, no. 4, pp. 477–496, 2021.

Bou-Wen Lin, Chung-Jen Chen, and Hsueh-Liang Wu, “Patent portfolio diversity, technology strategy, and firm value,” IEEE Transactions on Engineering Management, vol. 53, no. 1, pp. 17–26, 2006.

E. Guustaaf, U. Rahardja, Q. Aini, H. W. Maharani, and N. A. Santoso, “Blockchain-Based Education Project,” Aptisi Transactions on Management (ATM), vol. 5, no. 1, pp. 46–61, 2021.

S. Gupta, S. Kamboj, and S. Bag, “Role of risks in the development of Responsible Artificial Intelligence in the Digital Healthcare Domain,” Information Systems Frontiers, 2021.

T. Auger, J. Trüby, P. Balcombe, and I. Staffell, “The future of Coal Investment, trade, and stranded assets,” Joule, vol. 5, no. 6, pp. 1462–1484, 2021.

F. X. Diebold and K. Yılmaz, “On the network topology of variance decompositions: Measuring the connectedness of financial firms,” Journal of Econometrics, vol. 182, no. 1, pp. 119–134, 2014.

M. Dzielinski, “News sensitivity and the cross - section of Stock returns,” SSRN Electronic Journal, 2011.

H. Hassani, X. Huang, and E. S. Silva, “Fusing big data, blockchain, and cryptocurrency,” Fusing Big Data, Blockchain and Cryptocurrency, pp. 99–117, 2019.

M. H. Lee, J. H. Yun, A. Pyka, D. K. Won, F. Kodama, G. Schiuma, H. S. Park, J. Jeon, K. B. Park, K. H. Jung, M.-R. Yan, S. Y. Lee, and X. Zhao, “How to respond to the Fourth Industrial Revolution, or the Second Information Technology Revolution? dynamic new combinations between technology, market, and society through open innovation,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 4, no. 3, p. 21, 2018.

P. Dziekański and A. Pawlik, “Financial situation of cities with Poviat Rights in eastern Poland Voivodships in 2009-2017,” Economic development: global trends and national peculiarities, 2020.

N. Fligstein, J. Stuart Brundage, and M. Schultz, “Seeing like the Fed: Culture, cognition, and framing in the failure to anticipate the financial crisis of 2008,” American Sociological Review, vol. 82, no. 5, pp. 879–909, 2017.

P. M. Demarzo, R. Kaniel, and I. Kremer, “Diversification as a public good: Community effects in portfolio choice,” The Journal of Finance, vol. 59, no. 4, pp. 1677–1716, 2004.

G. Hayward, “Managing innovation: Integrating technological, market and organizational change,” Technovation, vol. 18, no. 5, pp. 369–370, 1998.

U. Rahardja, M. A. Ngadi, R. Budiarto, Q. Aini, M. Hardini, and F. P. Oganda, “Education Exchange Storage Protocol: Transformation into decentralized learning platform,” Frontiers in Education, vol. 6, 2021.

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Journal DOI : 10.34306

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