You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Prof. Daniel Beneish created the M-Score as a way to predict earnings manipulation. His model takes data from the Income Statement, Balance Sheet, and Statement of Cash Flows of a company for two consecutive years. The data are combined into eight indices that are used as input variables in a probit model. The output of the model combined with a standard normal distribution can be used to predict the probability that the company has manipulated its earnings in the most recent year.
This app allows you to select from 384 companies from the S&P500 to view their m-scores, probabilities of manipulating earnings, and descriptive graphs about their financials.
Note that the model should not be used on financial institutions, so we've removed them from our data set along with companies that were missing required line-items.
The Model
Beneish's Model follows the form: $M=-4.84+0.92DSRI+0.528GMI+0.404AQI+0.892SGI+0.115DEPI-0.172SGAI+4.679TATA-0.327LVGI$
where: