2 résultats pour « financial data »

Open finance: Insurance Europe calls for a simpler, phased approach to EU’s Financial Data Access framework

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Insurance Europe urges a simpler, phased approach to the EU’s Financial Data Access (FIDA) framework to boost competitiveness. They highlight the need for clarity on data scope to protect sensitive information and a realistic timeline beyond the proposed 18 months for effective implementation.
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A Random Forest approach to detect and identify Unlawful Insider Trading

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This study proposes a new method for detecting insider trading. The method combines principal component analysis (PCA) with random forest (RF) algorithms. The results show that this method is highly accurate, achieving 96.43% accuracy in classifying transactions as lawful or unlawful. The method also identifies important features, such as ownership and governance, that contribute to insider trading. This approach can help regulators identify and prevent insider trading more effectively.
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