Financial Forecasting Using Time Series Models: Evidence from iFlytek

Authors

  • Yan Jiang
  • Ying Guo

DOI:

https://doi.org/10.62051/ijgem.v10n4.13

Keywords:

Financial Analysis, iFlytek, Time Series Models

Abstract

A financial analysis of iFlytek, a bellwether in China's artificial intelligence industry, reveals that while the company's assets have been consistently expanding, its profitability has been on a continuous decline in recent years. Therefore, this paper attempts to apply time series models to forecast the company's net profit for the period 2025–2027, aiming to provide decision-making insights for both investors and management.

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References

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[2] Jing Xu. "Research on the Application of Financial Statement Analysis in Financial Management of State-owned Technology Enterprises," China Collective Economy, no. 12, pp. 165-168, 2026. DOI: 10.20187/j.cnki.cn/11-3946/f.2026.12.038.

[3] Zengjie Chen. "Research on the Effectiveness of Financial Analysis in Corporate Profitability Prediction——Taking Xinjiang Tianrun Dairy as an Example," National Circulation Economy, no. 05, pp. 176-179, 2025. DOI: 10.16834/j.cnki.issn1009-5292.2025.05.044.

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Published

30-04-2026

Issue

Section

Articles

How to Cite

Jiang, Y., & Guo, Y. (2026). Financial Forecasting Using Time Series Models: Evidence from iFlytek. International Journal of Global Economics and Management, 10(4), 111-116. https://doi.org/10.62051/ijgem.v10n4.13