Corporate-Credit-Rating
OpenML dataset with id 43344
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102169/Corporate-Credit-Rating.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 31 (numeric: 25, symbolic: 0 and in total binary: 0 )
Number of instances: 2,029
Number of instances with missing values: 0
Number of missing values: 0
Context A corporate credit rating expresses the ability of a firm to repay its debt to creditors. Credit rating agencies are the entities responsible to make the assessment and give a verdict. When a big corporation from the US or anywhere in the world wants to issue a new bond it hires a credit agency to make an assessment so that investors can know how trustworthy is the company. The assessment is based especially in the financials indicators that come from the balance sheet. Some of the most important agencies in the world are Moodys, Fitch and Standard and Poors. Content A list of 2029 credit ratings issued by major agencies such as Standard and Poors to big US firms (traded on NYSE or Nasdaq) from 2010 to 2016. There are 30 features for every company of which 25 are financial indicators. They can be divided in:
Liquidity Measurement Ratios: currentRatio, quickRatio, cashRatio, daysOfSalesOutstanding Profitability Indicator Ratios: grossProfitMargin, operatingProfitMargin, pretaxProfitMargin, netProfitMargin, effectiveTaxRate, returnOnAssets, returnOnEquity, returnOnCapitalEmployed Debt Ratios: debtRatio, debtEquityRatio Operating Performance Ratios: assetTurnover Cash Flow Indicator Ratios: operatingCashFlowPerShare, freeCashFlowPerShare, cashPerShare, operatingCashFlowSalesRatio, freeCashFlowOperatingCashFlowRatio
For more information about financial indicators visit: https://financialmodelingprep.com/market-indexes-major-markets The additional features are Name, Symbol (for trading), Rating Agency Name, Date and Sector. The dataset is unbalanced, here is the frequency of ratings:
AAA: 7 AA: 89 A: 398 BBB: 671 BB: 490 B: 302 CCC: 64 CC: 5 C: 2 D: 1
Acknowledgements
This dataset was possible thanks to financialmodelingprep and opendatasoft - the sources of the data. To see how the data was integrated and reshaped check here.
Inspiration
Is it possible to forecast the rating an agency will give to a company based on its financials?
This page was built for dataset: Corporate-Credit-Rating
