Buy Bank Credit Rating Data
Bank Rating Report for Middle East Financial Institutions
Bank Rating Report for African Financial Institutions
Multimedia Lists - Payday Loan Data USA (25 Million records)
Bank Rating Report for Asia Pacific Financial Institutions
Bank Rating Report for European Financial Institutions
The Ultimate Guide to Bank Credit Rating Data 2021
What is Bank Credit Rating Data?
Before granting a borrower a loan, banks have to determine the creditworthiness of the borrower either in general terms or in line with a debt or financial obligation. Bank credit rating data is collected during the process of evaluating whether a bank will repay the approved loan at the agreed interest rate. A credit rating score applies to all financial entities looking to borrow a loan. These entities include an individual, corporation, state authority, the federal government - and in this instance, banks.
How is Bank Credit Rating Data collected?
Credit ratings refer to the creditworthiness of a business or government, while in contrast, credit scores only apply to individuals. Bank credit scores data are pulled from the credit history reports that are maintained by credit-reporting agencies such as Equifax in the USA. These credit-reporting agencies act as custodians of credit rating data which they report as a number that ranges between 300 and 850. This three-digit numerical scale uses a form of Fair Isaac (FICO) credit scoring. For companies and governments, credit calculation and valuation are done by a credit rating agency such as Standard & Poor’s (S&P) or Fitch. These agencies are paid by individuals or businesses that are seeking to know their creditworthiness and how it relates to debt issues.
What are the attributes of Bank Credit Rating Data?
The core features of bank credit rating data are crucial frameworks to assess the trustworthiness of borrowers. These features encompass both qualitative and quantitative paradigms:
• Character - Character refers to the lender’s opinion of a potential borrower’s personality and creditworthiness based on reputation and borrowing history. This information can be pulled from past loans to assess how the borrower behaved when repaying previous loans.
• Capacity - The capacity of credit data shows how well-equipped the borrower is to pay the loan. Capacity is determined through the cross-examination of the borrower’s income as compared to recurring debts and evaluating the debt-to-income (DTI) ratio.
• Capital - Capital is a feature of credit rating data that indicates an estimate of the money that has been invested by a business or individual.
• Condition - A condition is an attribute that highlights how the borrower is going to commit the borrowed funds, including when the loan is due to be re-paid and what the interest rate is.
• Collateral - Collateral refers to any asset and security that is generally guaranteed by the borrower to get the funds seamlessly.
What is Bank Credit Rating Data used for?
Credit rating data assists lenders in evaluating the creditworthiness of a potential borrower. For investors, assessing the creditworthiness of a company listed on the stock exchange market is a crucial factor as far as deciding to buy stocks for that particular company is concerned. Furthermore, credit rating is also an important indicator of how well a country is doing based on the banks operating in that country. This factor can also help bond traders in the form of foreign capital to make sound decisions. Countries with higher credit ratings are attract more bond buyers as compared with low credit ratings.
How can a user assess the quality of bank credit data?
In assessing the quality of bank credit rating data, users should keep the following quality aspects in mind:
• Accuracy - The degree to which data are certified, error-free, correct, flawless, reliable.
• Objectivity - The extent to which the bank credit rating data provided by the data vendors is unprejudiced and grounded in facts.
• Completeness - Every detail of the data is accounted for by the data providers.
• Timeliness - Timeliness measures the degree to which the provided information on credit rating for an individual or business is delivered within the set time and is up to date.
• Accessibility - Measures the extent to which data is available and ready to be integrated.
Who are the best Bank Credit Rating Data providers?
Finding the right Bank Credit Rating Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Bank Credit Rating Data providers that you might want to buy Bank Credit Rating Data from are Multimedia Lists, Capital Intelligence Ratings (CI Ratings), Credit-Rating Ukrainian rating agency, Credit Rating Agency of Bangladesh, and Credit Rating Information and Services.
Where can I buy Bank Credit Rating Data?
Data providers and vendors listed on Datarade sell Bank Credit Rating Data products and samples. Popular Bank Credit Rating Data products and datasets available on our platform are Bank Rating Report for Middle East Financial Institutions by Capital Intelligence Ratings (CI Ratings), Bank Rating Report for African Financial Institutions by Capital Intelligence Ratings (CI Ratings), and Multimedia Lists - Payday Loan Data USA (25 Million records) by Multimedia Lists.
How can I get Bank Credit Rating Data?
You can get Bank Credit Rating Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Bank Credit Rating Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Bank Credit Rating Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Bank Credit Rating Data?
Bank Credit Rating Data is similar to Corporate Credit Rating Data, Financial Institution Credit Rating Data, Sovereign Credit Rating Data, Bond Credit Rating Data, and Corporate Loan Data. These data categories are commonly used for Credit Risk Assessment and Credit Analysis.