
Background and Context
Study Period
The research examines FinTech mortgage lending from 2010 to 2016, during which FinTech market share grew from 2% to 8% of U.S. mortgage originations.
Research Focus
The study analyzes how technology-based lenders are transforming mortgage origination through online applications and automated underwriting processes.
Methodology
Using loan-level data on mortgage applications and originations, researchers compared processing times, default rates, and market responses between FinTech and traditional lenders.
Growth in FinTech Mortgage Market Share (2010-2016)
- FinTech lenders grew from a small niche to significant market presence
- Total originations increased from $34bn in 2010 to $161bn in 2016
- Demonstrates rapid consumer adoption of online mortgage platforms
Faster Processing Times with FinTech Lenders
- FinTech lenders process mortgages approximately 20% faster than traditional lenders
- Average processing time reduction of 10.5 days
- Efficiency gains achieved through automation and centralized operations
Lower Default Rates for FinTech FHA Loans
- FinTech FHA loans show 35% lower default rates than traditional lenders
- Demonstrates effective borrower screening despite automated processes
- Contradicts concerns about potential lax screening in automated systems
FinTech Response to Demand Shocks
- FinTech lenders show greater capacity to handle demand surges
- Processing delays are 44% shorter during high-volume periods
- Demonstrates superior scalability of automated systems
Impact of FinTech on Refinancing Rates
- Areas with high FinTech presence show 10% higher refinancing rates
- Increased refinancing activity particularly evident when financially beneficial
- Suggests FinTech reduces barriers to refinancing
Contribution and Implications
- FinTech innovation improves mortgage market efficiency through faster processing and better scalability
- Technology-based lending enhances market responsiveness to interest rate changes through easier refinancing
- Automated processes can maintain or improve loan quality while increasing processing speed
Data Sources
- Market share growth chart based on data from Table 2 and main text
- Processing times comparison based on Table 2 statistics
- Default rates visualization based on Table 4 results
- Demand response elasticity based on Table 6 findings
- Refinancing impact based on Table 9 statistics