Equipment Leasing & Finance Association
U.S. Economic Outlook
Monthly Confidence Index (MCI-EFI)
Journal of Equipment Lease Financing
State of the Industry
Industry Future Council
Request for Proposals
Investing in Industry Research
Giving Levels and Recognition
Jeffrey Wong Memorial Fund
Stock Contribution Tax Benefits
Foundation Forecast Newsletter
Research Studies & Reports
US Economic Outlook
Market and Emerging Outlooks
Operations and Performance
Industry Future Council Reports
State of the Industry Reports
6 Products Found
This Study quantifies the extent to which the equipment leasing industry is now engaged in Electronic Lease Transactions, and the challenges that have been addressed in the process.
Big Data: A Study for the Equipment Finance Industry
This study defines big data, puts that definition into context for the asset finance industry, and showcases the variety of ways asset finance companies could benefit from using big data.
Predictive Analytics: Increasing Profitability, Managing Risk and Enhancing Customer Satisfaction
This study explores Predictive Analytics in terms of impact upon profitability, business processes and decision making, how it can be effectively implemented from both a business process and technology perspective, and what benefits can be expected.
Enterprise Risk Management For Equipment Leasing and Finance Companies
This study provides a guidebook on the history, trends and how-to's of implementing enterprise risk management practices.
Effectiveness of Business Process Improvement for Equipment Financing Companies
This study examines the success of business process improvement practices for the equipment finance segment, including addressing the effectiveness of general, customer-supplier, Six Sigma, and lean management BPI practices.
Credit Scoring Models: How to Effectively Rate Your Credit Risk
PredictiveMetrics, Inc. Sep-09 Credit scoring models have proliferated in the equipment finance industry. Recent lending institution failures outside the equipment finance industry may have underscored the risk of over-reliance on automated scoring model
Independent, forward-looking research for the equipment finance industry.