Comparative comparison of traditional and modern methods of predicting company value

Q: What does this research mean for the field?

A combined machine learning model using bidirectional long short-term memory (BiLSTM) and recurrent neural networks predicts company stock prices with lower error rates than traditional simple linear regression. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Seyedeh Maryam Babanezhad Bagheri; Abbasali Pouraghajan; Mohammad Mehdi Abbasian Feridoni

doi:10.71608/faar.2026.1073455

May 20, 2023پژوهش های حسابداری مالی و حسابرسی#R##N#the financial Accounting and Auditing ResearchesOpen Access

Comparative comparison of traditional and modern methods of predicting company value

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Key Points

This paper aims to compare traditional and modern methods for predicting company value using various financial and economic factors.
Analyzed data from 159 companies over the period of 2010-2020.
Utilized linear regression and a combination of a bidirectional short-term memory model and recurrent neural network.
Collected data using descriptive-experimental techniques and field and library resources.
The novel hybrid model demonstrated lower error rates in predicting stock prices compared to the simple linear regression model.

Implication

Applied research predicts company value using traditional and modern methods, suggesting differences in accuracy.

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Cite This Study

Bagheri et al. (2023) studied this question.

synapsesocial.com/papers/6a1e72cb30b38c64201b5fb6 https://doi.org/10.71608/faar.2026.1073455

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Comparative comparison of traditional and modern methods of predicting company value

Key Points

Implication

Abstract

Discussion

Cite This Study

Comparative comparison of traditional and modern methods of predicting company value

Key Points

Implication

Abstract

Discussion

Cite This Study

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