Table of Contents
Information, Volume 11, Issue 6 (June 2020) – 58 articles
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Cover Story (view full-size image) The paper proposes a methodology for forecasting the movements of analysts' net income estimates [...] Read more. The paper proposes a methodology for forecasting the movements of analysts' net income estimates and those of stock prices. We achieve this by applying natural language processing and neural networks in the context of analyst reports. In the pre-experiment, we applied our method to extract opinion sentences from the analyst report while classifying the remaining parts as non-opinion sentences. Then, we performed two additional experiments. First, we employed our proposed method for forecasting the movements of analysts' net income estimates by inputting the opinion and non-opinion sentences into separate neural networks. In addition to the reports, we inputted the trend of the net income estimate to the networks. Second, we employed our proposed method to forecast the movements of stock prices. View this paper.