Predicting Earnings Manipulation by Indian Firms Using Machine Learning Algorithms Harvard Case Solution & Analysis

Predicting Earnings Manipulation by Indian Firms Using Machine Learning Algorithms Case Solution

Saurabh Rishi, the primary information researcher at MCA Technologies was appointed the job of establishing an usage case for anticipating earnings controls. He was mindful of designs such as Benford's law and Beneish design utilized to get predicting earnings adjustments; nevertheless, he was not really sure for its efficiency, specifically in the Indian circumstance. MCA Technology thought that device learning algorithms might offer much better precision reviewed to other conventional designs such as Beneish design utilized to get predicting earnings manipulation.

MCA Technology Solutions Private Limited was developed in 2015 at Bangalore using a goal to incorporate analytics and innovation with organisation. MCA Technology Solutions assisted the customers in locations such as consumer intelligence, forecasting, optimization, threat evaluation, web analytics, and text mining and cloud options. Sachin Kumar, Director at MCA Technology Solutions, Bangalore was consulted by one his customers, an industrial bank, to help them in finding earnings manipulators amongst the bank's consumers.

PUBLICATION DATE: October 01, 2016

This is just an excerpt. This case is about FINANCE & ACCOUNTING

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Predicting Earnings Manipulation by Indian Firms Using Machine Learning Algorithms

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