AI applications in market information collection and macroeconomic indicator analysis
Abstract
Data analysis in economics is transitioning from traditional methods to AI-driven approaches, enabling automation in data collection and processing, as well as improving the ability to forecast market fluctuations, providing a foundation for more accurate business decision- making. This article presents the application of AI at the Vietnam Petroleum Institute (VPI) to develop a digital analytics solution for collecting market information, aimed at improving the efficiency of data integration and automated processing, forecasting economic indicators, and providing a virtual assistant to support interactive market information queries.
References
Paulo Silva, Carolina Goncalves, Nuno Antunes, Marilia Curado, and Bogdan Walek, “Privacy risk assessment and privacy-preserving data monitoring”, Expert Systems with Applycation, Volume 200, 2022. DOI: 10.1016/j.eswa.2022.116867.
Tohid Atashbar and Rui Aruhan Shi, “AI and macroeconomic modelling: Deep reinforcement learning in an RBC model”, 24/2/2023. [Online]. Available: https://www.imf.org/en/Publications/WP/Issues/2023/02/24/AI-and-Macroeconomic-Modeling-Deep-Reinforcement-Learning-in-an-RBC-model-530084.
Rodolfo C. Cavalcante, Rodrigo C. Brasileiro, Victor L.F. Souza, Jarley P. Nobrega, and Adriano L.I. Oliveira, “Computational intelligence and financial markets: A survey and future directions”, Expert Systems with Applications, Volume 55, pp. 194 - 211, 2016. DOI: 10.1016/j.eswa.2016.02.006.
B. Shravan Kumar and Vadlamani Ravi, “A survey of the applications of text mining in financial domain”, Knowledge-Based Systems, Volume 114, pp. 128 - 147, 2016. DOI: 10.1016/j.knosys.2016.10.003.
World Bank, “PPI visualization dashboard”. [Online]. Available: https://ppi.worldbank.org/en/visualization#sector=&status=&ppi=&investment=®ion=&ida=&income=&ppp=&mdb=&year=&excel=false&map=&header=true.
OECD, “Households' economic well-being: The OECD dashboard”. [Online]. Available: https://www.oecd.org/en/data/dashboards/households-economic-well-being-the-oecd-dashboard.html.
Financial Times, “Markets data”. [Online]. Available: https://markets.ft.com/data.
Exa. [Online]. Available: https://exa.ai/.
Cohere. [Online]. Available: https://cohere.com/.
Copilot Studio. [Online]. Available: https:// copilotstudio.microsoft.com/.
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