The Role of Internet of Things Data in Stock Market Forecasting: A New Frontier for Financial Management

Abstract

The Internet of Things (IoT) is transforming stock market prediction because of the availability of high-dimensional data in real-time. This study aims at identifying how big data analytics, predicting modelling and block chain frameworks deployed under IoT improve on financial decision making and the stability of the market. The study demonstrates that the integration of data streams from IoT results in improvements in predictive models, risk management, and transactional processes. The outcomes stress the compatibility of IoT applications with traditional theories in finance, while stressing the revolutionary nature of these applications for correcting market imperfections and improving the forecast accuracy. Still, issues like privacy and the ability of different sub-systems to work together show that IoT in the sphere of financial ecosystems means a new level of development. The subsequent sections of this paper indicate that there is a need to improve on IoT adoption and integrate IoT better into the practices that affect the stock market and financial management.