International Journal of Accounting Research

Department of Computer Science and Mathematics, Stanford University, Stanford, United States of America

Publications

• Research Article   
  Using Benford's Law and RMSE to Predict Financial Fraud Using Firm-Reported Data
  Author(s): Rakshit Kaushik*
  
  Data growth is exploding in the era of big data. To maximise the value of data, data quality management has become crucial. Establishing a strategy for identifying the quality of scientific data is crucial and essential. Benford’s law has evolved into an effective tool for assessing data quality and spotting anomalous data across multiple sectors. Benford’s law is a digital analytic method that determines the probabilistic distribution of digits for numerous common phenomena. The fraud detection method uses deviations from the expected Benford’s law distributions as strong signs of fraudulent behaviour. The wire card fraud, which resulted in losses of several billion euros, is regarded as one of the most notable financial scandals of the decade. This paper examines the digit structure of Wire card’s financial figures from 2005 to 2019, financial figures of the .. View more»
  

  DOI: 10.35248/2472-114X.25.13.404

  Abstract HTML PDF