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This article explores how combining Big Data and AI can revolutionize stock valuation, discussing emerging trends in financial analysis. Accurate stock valuation is crucial for investment decisions, influencing strategies, capital raising, and informed choices. This research examines the synergy between traditional and AI-driven methods, offering valuable insights for analysts, investors, and firms to adapt to evolving financial markets and shape the future of stock valuation.

  • Read count 98
  • Date of publication 05-10-2023
  • Main LanguageIngliz
  • Pages194-201
English

This article explores how combining Big Data and AI can revolutionize stock valuation, discussing emerging trends in financial analysis. Accurate stock valuation is crucial for investment decisions, influencing strategies, capital raising, and informed choices. This research examines the synergy between traditional and AI-driven methods, offering valuable insights for analysts, investors, and firms to adapt to evolving financial markets and shape the future of stock valuation.

Русский

В этой статье рассматривается, как сочетание больших данных и искусственного интеллекта может революционизировать оценку акций, а также обсуждаются новые тенденции в финансовом анализе. Точная оценка акций имеет решающее значение для принятия инвестиционных решений, влияния на стратегии, привлечения капитала и осознанного выбора. В этом исследовании рассматривается синергия между традиционными методами и методами, основанными на искусственном интеллекте, что дает аналитикам, инвесторам и компаниям ценную информацию, необходимую для адаптации к развивающимся финансовым рынкам и формирования будущего оценки акций.

Ўзбек

Ushbu maqolada big data va sun’iy intellektning birlashmasi qimmatli qog‘ozlarni baholashni qanday o‘zgartirishi mumkinligini o‘rganadi va moliyaviy tahlilda paydo bo‘layotgan tendensiyalarni muhokama qiladi. Investitsiya qarorlarini qabul qilish, strategiyalarga ta’sir ko‘rsatish, kapitalni oshirish va ongli tanlovlar uchun aktsiyalarni to‘g‘ri baholash juda muhimdir. Ushbu tadqiqot an’anaviy va sun’iy intellektga asoslangan usullar o‘rtasidagi sinergiyani o‘rganadi, tahlilchilar, investorlar va firmalar uchun rivojlanayotgan moliyaviy bozorlarga moslashish va aktsiyalarni baholashning kelajagini shakllantirish uchun qimmatli tushunchalarni taqdim etadi. 

Author name position Name of organisation
1 Zoirjonova M.U. Magistr O’zbekiston Respublikasi Bank moliya akademiyasi
Name of reference
1 Common Stock Valuation: Principles, Tables and Application. Nicholas Molodovsky, Catherine May &Sherman Chottiner, 2018
2 A data-driven framework for consistent financial valuation and risk measurement, Zhenyu Cui, J. Lars Kirkby. 2021
3 Progress and prospects of data-driven stock price forecasting research, Chuanjun Zhao. 2023
4 Chasing the ESG factor. Abraham Lioui, Andrea Tarelli, 2022
5 Behavioral Economics and the Effects of Psychology on the Stock Market, Dr. Frederick Floss, 2017
6 Creating Strategic Business Value from Big Data Analytics: A Research Framework, Varun Grover, Roger H.L. Chiang, Ting-Peng Liang & Dongsong Zhang, 2018
7 Big data, artificial intelligence and machine learning: A transformative symbiosis in favor of financial technology, Duc Khuong Nguyen, Georgios Sermpinis, Charalampos Stasinakis, 2022
8 AI in Finance: Challenges, Techniques, and Opportunities, Longbing Cao, 2022
9 A comprehensive review on multiple hybrid deep learning approaches for stock prediction, Jaimin Shah, Darsh Vaidya, Manan Shah, 2021
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