Findings on Mathematics Reported by Investigators at Shanxi University of Finance and Economics (Deep Learning Algorithms for Enhancing Securities Price Prediction and Insurance Strategy Optimization): Mathematics - Insurance News | InsuranceNewsNet

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February 16, 2024 Newswires
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Findings on Mathematics Reported by Investigators at Shanxi University of Finance and Economics (Deep Learning Algorithms for Enhancing Securities Price Prediction and Insurance Strategy Optimization): Mathematics

Insurance Daily News

2024 FEB 16 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A new study on Mathematics is now available. According to news originating from Taiyuan, People’s Republic of China, by NewsRx editors, the research stated, “The process of attempting to estimate the future prices of particular stocks by utilizing historical data and various analytical tools, including deep learning algorithms, is called stock price prediction. Insurance providers’ overall approach and decisions to manage their risks, enhance their profitability, and give value to their policyholders are referred to as the insurance strategy.”

Our news journalists obtained a quote from the research from the Shanxi University of Finance and Economics, “It requires various things to be considered, including underwriting procedures, pricing strategies, product creation, risk analysis, claims administration, and investment choices. This study proposed optimizing an insurance strategy and predicting securities prices using a deep learning algorithm. Initially, the real stock data sources for Microsoft Corporation (MSFT) were gathered from Ping An Insurance Company of China (PAICC) and the Shanghai-based National Association of Securities Dealers Automated Quotation (NASDAQ). Normalization is the procedure used to preprocess data for the raw data. We suggest an Enhanced dragonfly-optimized deep neural network (EDODNN) with stock price forecasting and insurance. The outcomes demonstrate that the proposed model outperforms the current methodology and achieves accuracy, precision, recall, F1 score, R-2, and RMSE.”

According to the news editors, the research concluded: “To display the effectiveness of the suggested system, its performance is compared to more established methods to obtain the highest level of efficiency for the research.”

This research has been peer-reviewed.

For more information on this research see: Deep Learning Algorithms for Enhancing Securities Price Prediction and Insurance Strategy Optimization. Journal of Intelligent & Fuzzy Systems, 2023;45(6):10369-10379. Journal of Intelligent & Fuzzy Systems can be contacted at: Ios Press, Nieuwe Hemweg 6B, 1013 Bg Amsterdam, Netherlands.

The news correspondents report that additional information may be obtained from Yaxin Mao, Shanxi University of Finance and Economics Taiyuan, School of Finance, Taiyuan 030000, People’s Republic of China.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.3233/jifs-234292. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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