Predicting Financial Manipulation Using an Ensemble-based Approach
Abdul Aziz Barbhuiya,
Ashim Kumar Das,
Sudip Dey
Abstract:Financial manipulation becomes a critical issue in corporate transparency due to the increased dependency on stakeholders’ decision-making. The present study proposed a machine learning (ML) driven framework to predict financial manipulation with tertiary classification. The aim is to assess the effectiveness of the Ensemble Bagged Trees (EBT) model in predicting financial manipulation with a greater qualitative hierarchy of financial statements. The supervised ML classification technique is trained and tested… Show more
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