Data
CorporateCreditRating

CorporateCreditRating

active ARFF Attribution40InternationalCCBY40 Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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ContextAcorporatecreditratingexpressestheabilityofafirmtorepayitsdebttocreditorsCreditratingagenciesaretheentitiesresponsibletomaketheassessmentandgiveaverdictWhenabigcorporationfromtheUSoranywhereintheworldwantstoissueanewbondithiresacreditagencytomakeanassessmentsothatinvestorscanknowhowtrustworthyisthecompanyTheassessmentisbasedespeciallyinthefinancialsindicatorsthatcomefromthebalancesheetSomeofthemostimportantagenciesintheworldareMoodysFitchandStandardandPoorsContentAlistof2029creditratingsissuedbymajoragenciessuchasStandardandPoorstobigUSfirmstradedonNYSEorNasdaqfrom2010to2016Thereare30featuresforeverycompanyofwhich25arefinancialindicatorsTheycanbedividedinLiquidityMeasurementRatioscurrentRatioquickRatiocashRatiodaysOfSalesOutstandingProfitabilityIndicatorRatiosgrossProfitMarginoperatingProfitMarginpretaxProfitMarginnetProfitMargineffectiveTaxRatereturnOnAssetsreturnOnEquityreturnOnCapitalEmployedDebtRatiosdebtRatiodebtEquityRatioOperatingPerformanceRatiosassetTurnoverCashFlowIndicatorRatiosoperatingCashFlowPerSharefreeCashFlowPerSharecashPerShareoperatingCashFlowSalesRatiofreeCashFlowOperatingCashFlowRatioFormoreinformationaboutfinancialindicatorsvisithttpsfinancialmodelingprepcommarketindexesmajormarketsTheadditionalfeaturesareNameSymbolfortradingRatingAgencyNameDateandSectorThedatasetisunbalancedhereisthefrequencyofratingsAAA7AA89A398BBB671BB490B302CCC64CC5C2D1AcknowledgementsThisdatasetwaspossiblethankstofinancialmodelingprepandopendatasoftthesourcesofthedataToseehowthedatawasintegratedandreshapedcheckhereInspirationIsitpossibletoforecasttheratinganagencywillgivetoacompanybasedonitsfinancials

31 features

Ratingstring10 unique values
0 missing
Namestring593 unique values
0 missing
Symbolstring593 unique values
0 missing
Rating_Agency_Namestring5 unique values
0 missing
Datestring904 unique values
0 missing
Sectorstring12 unique values
0 missing
currentRationumeric2029 unique values
0 missing
quickRationumeric2029 unique values
0 missing
cashRationumeric2025 unique values
0 missing
daysOfSalesOutstandingnumeric1836 unique values
0 missing
netProfitMarginnumeric2027 unique values
0 missing
pretaxProfitMarginnumeric2027 unique values
0 missing
grossProfitMarginnumeric1626 unique values
0 missing
operatingProfitMarginnumeric2027 unique values
0 missing
returnOnAssetsnumeric2029 unique values
0 missing
returnOnCapitalEmployednumeric2029 unique values
0 missing
returnOnEquitynumeric2029 unique values
0 missing
assetTurnovernumeric2029 unique values
0 missing
fixedAssetTurnovernumeric2029 unique values
0 missing
debtEquityRationumeric2024 unique values
0 missing
debtRationumeric2005 unique values
0 missing
effectiveTaxRatenumeric1994 unique values
0 missing
freeCashFlowOperatingCashFlowRationumeric1857 unique values
0 missing
freeCashFlowPerSharenumeric2027 unique values
0 missing
cashPerSharenumeric2029 unique values
0 missing
companyEquityMultipliernumeric2029 unique values
0 missing
ebitPerRevenuenumeric2027 unique values
0 missing
enterpriseValueMultiplenumeric2029 unique values
0 missing
operatingCashFlowPerSharenumeric2027 unique values
0 missing
operatingCashFlowSalesRationumeric2027 unique values
0 missing
payablesTurnovernumeric1768 unique values
0 missing

19 properties

2029
Number of instances (rows) of the dataset.
31
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
25
Number of numeric attributes.
0
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
80.65
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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