دورية أكاديمية

Navigating Market Sentiments: A Novel Approach to Iron Ore Price Forecasting with Weighted Fuzzy Time Series.

التفاصيل البيبلوغرافية
العنوان: Navigating Market Sentiments: A Novel Approach to Iron Ore Price Forecasting with Weighted Fuzzy Time Series.
المؤلفون: Souza, Flavio Mauricio da Cunha, Filho, Geraldo Pereira Rocha, Guimarães, Frederico Gadelha, Meneguette, Rodolfo I., Pessin, Gustavo
المصدر: Information (2078-2489); May2024, Vol. 15 Issue 5, p251, 18p
مصطلحات موضوعية: IRON ores, MARKET sentiment, TIME series analysis, PRICES, DECISION support systems, HYBRID systems, DIGITAL asset management
مستخلص: The global iron ore price is influenced by numerous factors, thus showcasing a complex interplay among them. The collective expectations of market participants over time shape the variations and trends within the iron ore price time series. Consequently, devising a robust forecasting model for the volatility of iron ore prices, as well as for other assets connected to this commodity, is critical for guiding future investments and decision-making processes in mining companies. Within this framework, the integration of artificial intelligence techniques, encompassing both technical and fundamental analyses, is aimed at developing a comprehensive, autonomous hybrid system for decision support, which is specialized in iron ore asset management. This approach not only enhances the accuracy of predictions but also supports strategic planning in the mining sector. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:20782489
DOI:10.3390/info15050251