• HOME
  • solutions
    • RECURSION ANALYZERS
    • Mortgage Company Data
    • Recursion DataCloud
    • Customized Solutions
  • BLOG
  • CLIENT LOGIN
    • Recursion Analyzers
  • ABOUT US
    • OVERVIEW
    • OUR TEAM
    • News & Events >
      • Recursion In News
      • Recursion Data Citations
  • CONTACT
RECURSION CO
  • HOME
  • solutions
    • RECURSION ANALYZERS
    • Mortgage Company Data
    • Recursion DataCloud
    • Customized Solutions
  • BLOG
  • CLIENT LOGIN
    • Recursion Analyzers
  • ABOUT US
    • OVERVIEW
    • OUR TEAM
    • News & Events >
      • Recursion In News
      • Recursion Data Citations
  • CONTACT
BLOG

The Matched Data Set

5/19/2021

 
While market commentary is focused on developments such as inflation and house price increases, the key housing policy issues in the post-Covid world are financial inclusion and climate change. Our agency loan-level data provide us with many insights into market trends, but these do not contain demographic or geological details that are necessary to perform in-depth analysis in these areas.
​
On the topic of financial inclusion, the key supplemental data set is the Home Mortgage Disclosure Act (HMDA) dataset, an annual disclosure made by lenders in support of fair lending. HMDA data contains relevant data points such as income, gender, and race. Any assessment of fair lending practices requires an analysis of how these factors influence the availability of credit. To accomplish this, Recursion has applied a proprietary matching algorithm to create a robust dataset consisting of loans with both underwriting and demographic characteristics. Over the period 2008 – 2020 the data set consists of about 20 million loans. Below finds a chart of average credit scores by race (as measured by race of the first borrower) over the 2008 – 2020 period from this matched data set:
Picture
​Over time we have seen credit conditions “tighten” when interest rates fall and profit-maximizing lenders allocate capital starting with the highest credit quality borrowers. For example, when the 30-year mortgage rate hit a record low in 2020, credit scores reached to new cycle highs across racial categories. Of interest is the differential between the magnitude of the increase by race:
Picture
Of note is the smaller magnitude of credit score hikes for white borrowers in 2020 compared to 2019 across racial categories.
​
Of course, financial inclusion can be measured across a variety of characteristics and below finds a similar chart for debt-to-income for borrowers by race:
Picture
For this measure, tighter policy implies a lower DTI and we see this once again across all racial categories. However, the pattern for the magnitude of the tightening for this category is a bit different as the smallest degree of tightening experienced by this measure between 2019 and 2020 was for Native American and Black borrowers.
Picture
​The analysis of policies designed to enhance credit inclusion requires a nuanced understanding of financial markets and cultural norms. A key to developing these skills is robust data derived from the most up-to-date big data techniques.

    Archives

    March 2023
    February 2023
    January 2023
    December 2022
    November 2022
    October 2022
    September 2022
    August 2022
    July 2022
    June 2022
    May 2022
    April 2022
    March 2022
    February 2022
    January 2022
    December 2021
    November 2021
    October 2021
    September 2021
    August 2021
    July 2021
    June 2021
    May 2021
    April 2021
    March 2021
    February 2021
    January 2021
    December 2020
    November 2020
    October 2020
    September 2020
    August 2020
    July 2020
    June 2020
    May 2020
    April 2020
    March 2020
    February 2020
    May 2019
    March 2019
    February 2019

    Tags

    All
    Affordability
    ARM
    Bank\Nonbank
    Borrower Assistant Plan
    Cash Window
    Climate Change
    CMBS
    CMO
    Conforming Loan
    Conventional Loan
    COVID 19
    CPR\CDR\CRR\CCR
    Credit Score\DTI\LTV
    CRT\CAS\STACR
    Delinquency
    Early Buyout
    Early Payment Default
    ESG
    ET Pools
    Fannie Mae
    Fed
    FHA
    FHFA
    Forbearance
    Foreclosure
    Foreign Investor
    Freddie Mac
    Ginnie Mae
    Green Loans
    HECM
    HELOC
    HMDA
    HUD
    LMI
    Manufactured Housing
    Modified Loans
    MSR
    Multifamily
    Occupancy Type\NOO
    Partial Claim
    Payoff
    PIW
    Prepayment
    Purchase Loans
    Recursion In News
    Refi Loans
    Reperforming
    RG Pools
    Rural Housing
    Single Family
    Special Eligibility Program
    TBA Market
    TIC
    TPO
    UMBS
    US Treasury
    VA

RECURSION

SOLUTIONS ​
Recursion Analyzers
​
Mortgage Company Data
Recursion DataCloud
Customized Solutions


ABOUT US  ​
Overview
​Our team
CLIENT LOGIN   ​
Recursion Analyzers

CONTACT

224 West 30th St., Suite 303, New York, NY 10001
Contact Us

Picture
Copyright © 2022 Recursion, Co. All rights reserved.​
  • HOME
  • solutions
    • RECURSION ANALYZERS
    • Mortgage Company Data
    • Recursion DataCloud
    • Customized Solutions
  • BLOG
  • CLIENT LOGIN
    • Recursion Analyzers
  • ABOUT US
    • OVERVIEW
    • OUR TEAM
    • News & Events >
      • Recursion In News
      • Recursion Data Citations
  • CONTACT