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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