The Prediction of the Corporate Governance and Economic Value Added of Listed Companies in the Stock Exchange of Thailand Based on an Artificial Intelligence

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พิทักษ์ บุญนุ่น [Pituk Bunnoon] พัชรินทร์ บุญนุ่น [Patcharin Bunnoon]


This research presents the corporate governance forecasting and economic value added value of listed companies in the stock exchange of Thailand by storing data from listed company’s financial statements. It uses the data from business trading during 2011-2015, excluding the financial businesses, the technology group real estate, the construction resource group, and the medical group. This forecast is based on the implementation of a structured system and the processes that relate to the management committee. The shareholders take into account the competitiveness that will lead to growth and it can add value to the shareholders in the long run. It also recognizes the relationship of economic value added to support decision making for financial investments to maximize shareholder value and future value. The research will analyze all variables that are related to the predicted values by the statistical method and the forecast used is the back-propagation neural network to an algorithm for prediction. The forecasting pattern using artificial neural networks show the four inputs and six inputs of the models. The prediction states that if the predicted value is in the range of 0-0.499, the answer is 0, and if the value is in the range of 0.5-1.00, the answer is with a value of 1.00. This result of the research test is more than 60% accurate that will lead to the answer. The work is based on past historical data for training and forecast in the year 2015 to see accuracy. This research can be developed to provide more accurate forecasting results in the future.


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How to Cite
[Pituk Bunnoon]พ. บ., & [Patcharin Bunnoon]พ. บ. (2019). The Prediction of the Corporate Governance and Economic Value Added of Listed Companies in the Stock Exchange of Thailand Based on an Artificial Intelligence. Journal of Business, Economics and Communications, 14(1), 39-50. Retrieved from
บทความวิจัย (Research article)


1. Al-Fayoumi, N., Abuzayed, B. and Alexander, D. (2010). Ownership structure and earnings management in emerging markets: The case of Jordan. International Research Journal of Finance and Economics, 38 (April 2010), 28-47.

2. Aman, H. and Nguyen, P. (2008). Do stock prices reflect the corporate governance quality of Japanese firms?. Journal of the Japanese and International Economies, 22(4), 647-662.

3. Amirov, A., Gerget, O., Devjatyh, D. and Gazaliev, A. (2014). Medical data processing system based on neural network and genetic algorithm. Procedia-Social and Behavioral Sciences, 131(May 2014), 149-155.

4. Brown, L. D. and Lee, Y. J. (2010). The relation between corporate governance and CEOs’ equity grants. Journal of Accounting Public Policy, 29(6), 533-558.

5. Jensen, M. C. and Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360.

6. Jones, J. J. (1991). Earning management during import relief investigations. Journal of Accounting Research, 29(2), 193-228.

7. Omoteso, K. (2012). The application of artificial intelligence in auditing: Looking back to the future. Expert Systems with Applications, 39(9), 8490-8495.

8. Saengsai, J. (2017). The impact of business merger to the firm performance on the listed companies in the Stock Exchange in Thailand. Journal of Business, Economics and Communications, 12(1), 137-149.

9. Shan, Y. G. (2015). Value relevance, earnings management and corporate governance in China. Emerging Markets Review, 23(June 2015), 186-207.

10. Sutton, S. G., Holt, M. and Arnold, V. (2016). The reports of my death are greatly exaggerated–Artificial intelligence research in accounting. International Journal of Accounting Information Systems, 22(September 2016), 60-73.

11. Wang, D. (2006). Founding family ownership and earnings quality. Journal of Accounting Research, 44(3), 619-656.

12. Wang, K. T. and Shailer, G. (2017). Family ownership and financial performance relations in emerging markets. International Review of Economics and Finance, 51(September 2017), 82-98.