
Overview
Product Overview
Product Summary
Precise measures of Bank Operational Efficiency & Business Quality since 2010, how much "Bang for the Buck" banks get from their investment in operations:
- Quarterly Ratings of over 5,000 U.S. Banks (over 99% of all U.S. banks)
- Ratings developed with unique proprietary Efficient Frontier Analysis
- More accurate and insightful than traditional bank performance measures
- Compliments and is a precursor to financial strength ratings of other firms
Why To Buy
The most accurate measure of bank operational efficiency and business quality. The only measure of bank performance that leverages Efficient Frontier Analysis to determine the limits of bank performance and measure banks against it.
Dataset Specs
| Feature | Value |
|---|---|
| Update Frequency | Quarterly |
| Data Categories | Business Insights, Financial Insights, Public Sector |
| Data Sectors | Financials |
| Applicable Financial Instruments | Equities, Futures, Options, Bonds |
| Original Publisher of Data | Hoeg & Company, Ltd. |
| Data Source Type | Open Source |
| Data Origination Date | March 31, 2010 |
| Geographic Coverage | United States |
| Data Set(s) Format(s) | .csv |
Additional Documentation
- [Data Dictionary] (https://s3.amazonaws.com/files.battlefinensemble.com/dataDictionary/dataDictionary_ci43u6d1i7kgml3keo.pdf )
- [One Pager] (https://s3.amazonaws.com/files.battlefinensemble.com/onePager/onePager_ci43u6d1i0kgml31uq.pdf )
- [White Paper] (https://s3.amazonaws.com/files.battlefinensemble.com/whitePaper/whitePaper_ci43u6d1i7kgml390a.pdf )
Pricing Information
This data set is available for a 3-month, $10,000 subscription. For production access to data, we can customize the product to each client’s requirements and make it available for delivery through ADX. Please reach out to mailto:datateam@battlefin.com for more information.
Subscription Verification Request Information
This product will require a subscription request which will need to be verified and approved. In your subscription request, please provide the general use case for this data product, the number of users who will be accessing this data product, Sector/Industry of users, and regions in which this data product will be used.
Explore and Test Data Now
BattleFin Ensemble enables ready access to historical data in BattleFin’s SandBox Environment that comes with multiple testing tools including Python, R and analytics platforms. For users testing it for investment use cases, you will have access to equities/ETF market data, company fundamentals, analyst estimates, and other supplemental products. You will also have access to value added information on all data products that make it easy to understand the nuances of each product and compare them. Most products also have a pre-built Jupyter Notebook that you can use as a starting point to explore data. If you already have Ensemble credentials, please login at: https://www.battlefinensemble.com/index.html to start exploring and testing this product.
If you would like to get more information on Ensemble or talk to an alternative data expert about your requirements or request a trial subscription, please share your information at: https://web.battlefin.com/data-buyer-interest-form-dc
Need Help?
If you have questions about our products, please contact mailto:datateam@battlefin.com .
About Your Company
BattleFin is a technology and events company focused on bringing alternative data to the world. Our Ensemble(c) platform allows corporations, hedge funds and investment firms to Source, Evaluate, Test and Purchase alternative data. BattleFin Alternative Data Discovery Days are One-on-One meeting events held in London, Hong Kong, Miami and New York.
Details
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Features and programs
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Pricing
Dimension | Cost/3 months |
|---|---|
ProductAccess | $10,000.00 |
Vendor refund policy
Refunds are not available for this data set.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Hoeg_n_co_hist_sample | All historical revisions | All future revisions | Not included | Not included |