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Machine Learning for Accounting Disclosure and Fraud Detection

Financial

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Description

Explore the intersection of advanced technology and financial analysis with Machine Learning Applications for Accounting Disclosure and Fraud Detection. This specialized text addresses an emerging economic problem: the valuation of firm accounting disclosure quality. While many existing studies focus on detecting business failure through machine learning, this work fills a significant gap in the literature by focusing on the prediction of actual financial performance. Readers will gain insights into how modern algorithms can be applied to economic problems that have not been adequately analyzed in previous research. By moving beyond simple failure detection, this resource provides a deeper look at the predictive modeling of business activity and the quality of financial disclosures. It is an essential addition for those studying the evolving landscape of finance, accounting, and economics, offering a perspective on how machine learning tools can be utilized to understand the true economic health of a business.

Key Features

Addresses the emerging economic problem of predicting the quality of firm accounting disclosures.

Provides research on the prediction of actual business activity and financial performance.

Expands upon existing machine learning literature that traditionally focuses only on business failure.

Explores various machine learning methods and algorithms applied to the field of economics.

Offers specialized analysis for professionals in finance, accounting, and economics.

Product Specifications

Format: paperback
ASIN: 1799857859
Category: Books > Subjects > Business, Finance & Law > Accounting > Financial
Domain: Amazon UK
Release Date: 02 October 2020
Listed Since: 18 June 2020

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Machine Learning for Accounting Disclosure and Fraud Detection

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