Financial Institution Credit Rating Data

What is Financial Institution Credit Rating Data?

A financial institution is a company involved in dealing with any financial monetary transaction. Mainly these are banks, insurance companies, brokerage firms or investment dealers. Almost everyone will at some point in their lives have dealings with a financial institution of some form.
A credit rating is a quantified assessment of the creditworthiness of a borrower either in general terms on with respect to a particular financial obligation or debt. It can be assigned to an entity seeking to borrow money, but for a financial institution credit rating dataset it is, understandably, applied to the credit rating of any financial institution. Therefore, it stands to follow that a financial institution credit rating dataset provides details about the matters explained above.

How is Financial Institution Credit Rating Data collected?

Businesses’ credit ratings are scored by credit bureaus, such as Standard & Poors, on a three-digit numerical scale. A credit rating is scored using a form of Fair Isaac (FICO) credit scoring. These rating agencies are paid by the entity looking for a credit rating score. Credit ratings determine how likely the borrower will be able and willing to pay back a loan within the terms of the agreement. The higher the credit rating, the more likely the institution is to pay back the loan without an issues.
Credit rating companies look at a financial institution’s history - if they have a long-standing history of paying back loans with issues, they will score highly. A lower credit rating suggests the institution has had issues paying back loans in the past and might have the same troubles in the future.
A financial institution credit rating dataset collects current and historical information and compiles this into a comprehensive profile on a certain institution and compares it to others working in the same field.

What are the attributes of Financial Institution Credit Rating Data?

Financial institution credit rating datasets normally provide two types of credit rating data.
Real-time intelligence - These will give you a real-time and regularly updated intelligence on the credit ratings of different financial institutions. A credit rating comes in the form of a three digit number which generally ranges from 300 to 850.
Historical credit rating records - This will be a record of the financial institution in question’s past credit ratings so you can see how they have changed over time. In this category there will also be information on the financial institution itself (whether it’s a bank, insurance company, investment firm etc.) and could include basic details, such as employee numbers, directors or office location.
Often a financial institution credit rating dataset will provide information on similar monetary institutions so you can compare businesses’ credit ratings against those of their market peers.

What is Financial Institution Credit Rating Data used for?

Businesses use financial institution credit ratings when looking for financial input from an established monetary institution. A credit rating tells you how reliable the institution is as a borrower and can be used by businesses to ensure that their money is placed in the best funds possible and will be secure. This is key because essentially a business is looking to generate revenue and wants to be certain that their money is in the best hands possible.
Historical records play a big role in this too. By accessing financial institutions’ past credit ratings, you can make well-informed decision and choose an insitution that is less likely to default.

How can a user assess the quality of Financial Institution Credit Rating Data?

It is important to have a financial institution credit rating dataset that is up-to-date with latest information, as you need real-time credit ratings to know different institutions’ current position in the market. Historical records are equally crucial because you can see whether a bank or insurance company has been consistently scored highly or if they have had past issues that it is important to be aware of before making an investment. Financial institution credit rating datasets that supply information on a wide range of institutions based in a similar field are important because then you can make the best-informed decisions for you and your business.

Who are the best Financial Institution Credit Rating Data providers?

Finding the right Financial Institution Credit Rating Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Financial Institution Credit Rating Data providers that you might want to buy Financial Institution Credit Rating Data from are Capital Intelligence Ratings (CI Ratings), Cedar Rose, DataGardener, Credit-Rating Ukrainian rating agency, and Credit Rating Agency of Bangladesh.

Where can I buy Financial Institution Credit Rating Data?

Data providers and vendors listed on Datarade sell Financial Institution Credit Rating Data products and samples. Popular Financial Institution Credit Rating Data products and datasets available on our platform are Credit Spread Curve Data API by FinPricing, In-Depth Company and Director Information by DataGardener, and Audience Marketplace by Retargetly.

How can I get Financial Institution Credit Rating Data?

You can get Financial Institution Credit Rating Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Financial Institution 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 Financial Institution Credit Rating Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Financial Institution Credit Rating Data?

Financial Institution Credit Rating Data is similar to Corporate Credit Rating Data, Sovereign Credit Rating Data, Bond Credit Rating Data, and Bank Credit Rating Data. These data categories are commonly used for Credit Risk Assessment and Financial Institution Credit Rating Data analytics.

What are the most common use cases for Financial Institution Credit Rating Data?

The top use cases for Financial Institution Credit Rating Data are Credit Risk Assessment, Credit Analysis, and Credit Risk Analysis.