Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Yogyakarta, Indonesia, by NewsRx correspondents, research stated, “Purpose - The study aims to explore how integrating recent fundamental values (RFVs) from conventional ac counting studies enhances the accuracy of a machine learning (ML) model for pred icting stock return movement in Indonesia. Design/methodology/approach - The stu dy uses multilayer perceptron (MLP) analysis, a deep learning model subset of th e ML method.” The news correspondents obtained a quote from the research from Gadjah Mada Univ ersity: “The model utilizes findings from conventional accounting studies from 2 019 to 2021 and samples from 10 firms in the Indonesian stock market from Septem ber 2018 to August 2019. Findings - Incorporating RFVs improves predictive accur acy in the MLP model, especially in long reporting data ranges. The accuracy of the RFVs is also higher than that of raw data and common accounting ratio inputs . Research limitations/ implications - The study uses Indonesian firms as its sam ple. We believe our findings apply to other emerging Asian markets and add to th e existing ML literature on stock prediction. Nevertheless, expanding to differe nt samples could strengthen the results of this study. Practical implications - Governments can regulate RFV-based artificial intelligence (AI) applications for stock prediction to enhance decision-making about stock investment. Also, pract itioners, analysts and investors can be inspired to develop RFV-based AI tools.”
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