【査読付】Using Machine Learning to Identify Industries with a Relatively High Probability of Having Unrecorded Intangible Fixed Assets

In this study, I developed a method that uses automated machine learning to extract industries with high potential for unrecorded intangible fixed assets based on the deviation rate between the predicted value of intangible fixed assets and the value of intangible fixed assets recorded on the balance sheet.

Journal of Management Science