The Foundation is pleased to provide approved academics and researchers with access to two significant statistical databases, each capturing thousands of data points on equipment finance transactions and benchmarking activity, to help further industry knowledge.
To become an "approved" researcher, your grant proposal must be accepted by the Foundation's Board of Trustees. PayNet and ELFA will only release data upon request by the Foundation after a study has been approved. For information on the grant program please review the Grant Policies and Guidelines.
The Equipment Leasing and Finance Association (ELFA) has agreed to offer researchers access to millions of data points collected through its annual Survey of Equipment Finance Activity (SEFA). The SEFA is the primary source of business metrics for equipment finance organizations. The Survey reflects data from approximately 110 responding organizations and provides information such as profitability, volume, portfolio performance, asset concentrations, operations, and risk management. Primarily an internal research and benchmarking tool, selected data points are customized for presentation to external publics, including state and federal policymakers and media.
Download and view a sample survey questionnaire to see hundreds of data points collected during the survey process.
The Equipment Leasing and Finance Association (ELFA) is the trade association representing financial services companies and manufacturers in the $1 trillion U.S. equipment finance sector. ELFA members are the driving force behind the growth in the commercial equipment finance market and contribute to capital formation in the U.S. and abroad. Its over 575 members include independent and captive leasing and finance companies, banks, financial services corporations, broker/packagers and investment banks, as well as manufacturers and service providers.
Researchers who wish to include PayNet data in their proposals should keep in mind they will be required to sign a Researcher Agreement with PayNet separate from the Foundation grant documents. The Researcher Agreement is designed to provide protections on the use of the data in the form of non-compete and anonymity.
Approved data sets can be created for archive periods. These are snap shots of how the credit looked at the “as of” date. Data sets are usually limited to 100,000 records in size which is usually enough to complete studies. Any requested data sets beyond this size require additional approval from the Foundation and PayNet.
PayNet's database has more than 200 data fields, including contract and borrower information as well as custom score variables. The types of fields included are as follows:
All data fields are available at a contract level, but credit history information can be aggregated for borrower averages and totals as well.
If your research requires data fields that are not part of the Standard Data Fields, it is possible these fields can be specially sourced and appended to the Standard Data Fields for you. Commissioned researchers will work with the Foundation and PayNet to define the needed extra fields, and to assess the feasibility of sourcing those fields. Once approved, the sourcing of a file containing the supplemental data fields will take extra time.
About PayNet: go to www.paynet.com