Abstract
Gold is a precious metal that attracts the attention of authors from various fields. Due to its wide application in various industries, it is a very important resource for the business of many companies. In this paper, the price of gold was predicted for a period of one year, based on historical data, for approximately five years. Price forecasting was performed based on the Monte Carlo method, and the simulation itself was performed in the MATLAB software. The aim of this paper is to help the management of companies for which gold is a significant resource in planning and making business and financial decisions. The result of the forecast allows the management to create different scenarios to be ready to react to almost any situation on the market, and thus to maintain the position of the company they lead.
Publisher
University of Belgrade, Technical Faculty in Bor
Reference24 articles.
1. Adebiyi, A. A., Adewumi, A. O., & Ayo, C. K. (2014). Comparison of ARIMA and artificial neural networks models for stock price prediction. Journal of Applied Mathematics, 2014;
2. Barreto, H., & Howland, F. M. (2006). Introductory econometrics. Cambridge University Press;
3. Baur, D. G., Beckmann, J., & Czudaj, R. (2016). A melting pot-Gold price forecasts under model and parameter uncertainty. International Review of Financial Analysis, 48, 282-291;
4. Brabenec, T., Suler, P., Horák, J., & Petras, M. (2020). Prediction of the Future Development of Gold Price. Acta Montanistica Slovaca, 25(2). Doi: 10.46544/AMS.v25i2.11;
5. Brodd, T., & Djerf, A. (2018). Monte Carlo Simulations of Stock Prices: Modelling the probability of future stock returns;
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Gold price prediction based on the Monte Carlo method;XIX International May Conference on Strategic Management – IMCSM24 Proceedings - zbornik radova;2024