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Our Data Partners
9.2M records
100% market quotes
150 countries covered
Provide swap rate curves, basis curves, OIS curves, and yield curves in 34 currencies and more than 60 countries, including deposit rates, interest rate futu...
NCFX Forward FX Benchmark
by New Change FX
86.4K updates per day per ccy pairr
100% Benchmarks
198 countries covered
Official live Forward FX Benchmark for 40 primary currency pairs including all standard tenors out to one year. Update frequency up to 1 second. Addi...
100K records
100% market quotes
1 country covered
SIFMA (Securities Industry and Financial Markets Association) is a trading organization in US. The SIFMA Municipal Swap Index, formerly the Bond Market Assoc...
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AnalyticsIQ
Based in USA
AnalyticsIQ is a predictive marketing data company that creates data to understand the complete view of individuals - regardless of whether they are at home ...
FinPricing
Based in Canada
FinPricing provides highly accurate global financial market data from real time to historical via GUI and API. The data are collected from various sources, i...
>5 years
Historical
> 60 years
Curve tenors
>45
Interest rate coverage
New Change FX
Based in United Kingdom
New Change FX is an award winning fintech company. We are an official regulated Benchmark Administrator. We specialise in delivering price transparency t...
Benchmarks
ESMA/FCA Regulated Benchmarks
50 M/s
Per Currency/FX Benchmarks
1.728 Mio
Per Day / Currency Pair
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The Ultimate Guide to Interest Rate Data 2021

Learn everything about Interest Rate Data. Understand data sources, popular use cases, and data quality.

What is Interest Rate Data?

An interest rate refers to the amount that a lender charges for the use of assets that is usually expressed as a percentage of the principal amount that is borrowed. Interest rates are advanced by financial institutions and they are usually calculated on an annual basis referred to as annual percentage rate (APR). As such, interest rate data refers to information about the interest rate on borrowed assets that range from cash, consumer goods, or large-scale assets such as vehicles or buildings.

How is Interest Rate Data collected?

In most cases, interest rate data is provided by a country’s central bank. As a regulator of financial institutions, central banks are tasked with the calculation of interest rate and compile the data depending on the intended repercussions for a country’s economic situation. Once this data is made available to the lending institutions, borrowers can access it in the event of acquiring a loan. As part of the requirement of Federal Reserve Banks, lending institutions must provide the details of interest rate data to borrowers before they enter into agreements on loan advancement.

What are the attributes of Interest Rate Data?

Interest rate data shows the exact amount that is charged on top of the principal by a lender to a borrower for the use of assets. Interest rate data also indicates the mortgage simple interest attribute. The compound interest data that applies to the principal amount borrowed for some loans is also a key feature of this data. The amount of interest advanced to the borrower may show the attribute of the level of risk of that loan.

What are the uses of Interest Rate Data?

Interest rate data finds applications in the lending and borrowing fields. For individuals who are looking to borrow money to fund various projects, this data may prove critical in the process of assessing the cost of these loans. The same thing also applies to businesses that take loans aimed at funding projects and scaling of operations, In one way or the other, borrowers have to pay the interest as a way of catering for the cost of the borrowed money that could have otherwise been used by the lender. Interest rate data is also critical on the part of the lender because they can use it to determine the credit score of the borrower hence leading to a better view of the level of risk for the advanced loan.

How can a user assess the quality of Interest Rate Data?

The quality of interest rate data is established by a user based on time, level of completeness, and accuracy. Because interest rate data varies with time, which can be as low as monthly, taking into account the quality of time will help the user to assess the validity of this data at the time it is being collected. For a borrower looking to collect a loan, the most recent interest rate data will give them an updated understanding of the cost of the loan to be advanced. Obsolete data may not serve many purposes in this case. Based on the attributes for each class of interest rate, the level of completeness on how every attribute is highlighted is another critical quality measure.

Who are the best Interest Rate Data providers?

Finding the right Interest Rate Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Interest Rate Data providers that you might want to buy Interest Rate Data from are AnalyticsIQ, FinPricing, New Change FX, Trading Economics, and ATTOM Data Solutions.

Where can I buy Interest Rate Data?

Data providers and vendors listed on Datarade sell Interest Rate Data products and samples. Popular Interest Rate Data products and datasets available on our platform are Swap Rate Curve, Basis Curve, OIS Curve Data by FinPricing, NCFX Forward FX Benchmark by New Change FX, and SIFMA Municipal Swap Index Curve Data by FinPricing.

How can I get Interest Rate Data?

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

What are similar data types to Interest Rate Data?

Interest Rate Data is similar to Stock Market Data, Alternative Data, ESG Data, Merger & Acquisition Data, and Proprietary Market Data. These data categories are commonly used for Interest Rate Data analytics.