Conference Proceedings
International Future Mining Conference 2024 Proceedings
Conference Proceedings
International Future Mining Conference 2024 Proceedings
Artificial Intelligence (AI)-based predicting influence of technological innovation on stock price of iron ore mining companies
This paper seeks to establish an empirical relationship between the impact of mining technological innovation implementation and a company’s market value. The company’s market value is represented by its stock price. In a bid to ascertain the relationship, a stock price prediction model is sought to be established using the firm-specific factors impacted by the implementation of innovative technology. This work is performed under the watch of the prevailing macroeconomic factors. The background anchors in the understanding that the difference between the economic status of a mineral deposit and its uneconomic status lies in the level of mining technological innovation most prevalent at a given time (Hartwick, Olewiler and Preuss, 1986; Wellmer and Scholz, 2017; Wright and Czelusta, 2003). This is derived from productivity improvement, resulting in sustainable profitability due to technological innovation. Unfortunately, there is not an adequately established relationship that links this technological innovation impact to the share price performance of the mineral commodity company.
Contributor(s):
P Mugebe, M S Kizil, M Yahyaei, R Low
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- Published: 2024
- Unique ID: P-04227-F9W7F5