Modeling Supply Chain Firms’ Stock Prices in the Fertilizer Industry through Innovative Cryptocurrency Market Big Data
نویسندگان
چکیده
Due to the volatility of markets and ongoing crises (COVID-19, Ukrainian war, etc.), investors are keen exploit any potential chances make profits. For this reason, idea harvesting data from cryptocurrency market users takes an innovative step. Potential in supply chain firms fertilizer industry need know whether observation originating is capable explaining their stock price variation. The authors identify utilization markets’ user analytical model predict price. main aim research evaluate contribution big as a predicting factor for firms. Such finding improves knowledge decision-making market. Moreover, study seeks highlight benefits utilizing other financial purposes, apart prediction. was derived websites applications then processed through statistical analysis (correlation linear regressions), Fuzzy Cognitive Maps (FCM), Hybrid Modeling (HM) modeling. hybrid model’s simulation showed that tend explain industry. refer Bitcoin’s website organic keywords traffic costs, well paid costs trade websites/apps. A rise Bitcoin websites’ increase industry’s prices, while variation decreases accordingly.
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ژورنال
عنوان ژورنال: International Journal of Financial Studies
سال: 2023
ISSN: ['2227-7072']
DOI: https://doi.org/10.3390/ijfs11030088