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Is Competition a Cure for Confusion? Evidence from the Residential - - PowerPoint PPT Presentation

Is Competition a Cure for Confusion? Evidence from the Residential Mortgage Market Malliaris, S., Rettl, D. & Ruchi, S. Discussant: Moussa Diop March 5, 2020 1 / 32 Review of Results 2 / 32 Review of Results 1. Mortgage market


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Is Competition a Cure for Confusion? Evidence from the Residential Mortgage Market

Malliaris, S., Rettl, D. & Ruchi, S. Discussant: Moussa Diop March 5, 2020

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SLIDE 2

Review of Results

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SLIDE 3

Review of Results

  • 1. Mortgage market sophistication and interest rate spread?

∗ More sophisticated home mortgage borrowers pay lower interest rates

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Review of Results

  • 1. Mortgage market sophistication and interest rate spread?

∗ More sophisticated home mortgage borrowers pay lower interest rates

  • 2. Competition and interest rate spread?

∗ Mortgage market competition also also lead to lower interest rates

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SLIDE 5

Review of Results

  • 1. Mortgage market sophistication and interest rate spread?

∗ More sophisticated home mortgage borrowers pay lower interest rates

  • 2. Competition and interest rate spread?

∗ Mortgage market competition also also lead to lower interest rates

  • 3. Substitutability of competition and sophistication?

∗ Competition does not substitute for mortgage market sophistication or information acquisition

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SLIDE 6

Review of Results

  • 1. Mortgage market sophistication and interest rate spread?

∗ More sophisticated home mortgage borrowers pay lower interest rates

  • 2. Competition and interest rate spread?

∗ Mortgage market competition also also lead to lower interest rates

  • 3. Substitutability of competition and sophistication?

∗ Competition does not substitute for mortgage market sophistication or information acquisition

  • 4. Advice as a remedy for lack of sophistication?

∗ Except for agent use, so significant relation between informational source and mortgage rate

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Sophistication Measures

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Sophistication Measures

⋆ Two main measures of sophistication using NSMO data: ex-ante and ex-post sophistication indicators

∗ Both significantly affect interest rate in the right direction

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Sophistication Measures

⋆ Two main measures of sophistication using NSMO data: ex-ante and ex-post sophistication indicators

∗ Both significantly affect interest rate in the right direction

⋆ Comments:

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Sophistication Measures

⋆ Two main measures of sophistication using NSMO data: ex-ante and ex-post sophistication indicators

∗ Both significantly affect interest rate in the right direction

⋆ Comments:

∗ Not sure how to interpret the ex-post measure because information gained during mortgage application does not necessarily explain interest rate

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Sophistication Measures

⋆ Two main measures of sophistication using NSMO data: ex-ante and ex-post sophistication indicators

∗ Both significantly affect interest rate in the right direction

⋆ Comments:

∗ Not sure how to interpret the ex-post measure because information gained during mortgage application does not necessarily explain interest rate ∗ Put borrowers into four ex-ante/ex-post sophistication buckets (as done with familiar) and show how they map on education and income

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Sophistication Measures

⋆ Two main measures of sophistication using NSMO data: ex-ante and ex-post sophistication indicators

∗ Both significantly affect interest rate in the right direction

⋆ Comments:

∗ Not sure how to interpret the ex-post measure because information gained during mortgage application does not necessarily explain interest rate ∗ Put borrowers into four ex-ante/ex-post sophistication buckets (as done with familiar) and show how they map on education and income ∗ Rank items used to create competition measures because some items may be more important than others

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Sophistication Measures

⋆ Two main measures of sophistication using NSMO data: ex-ante and ex-post sophistication indicators

∗ Both significantly affect interest rate in the right direction

⋆ Comments:

∗ Not sure how to interpret the ex-post measure because information gained during mortgage application does not necessarily explain interest rate ∗ Put borrowers into four ex-ante/ex-post sophistication buckets (as done with familiar) and show how they map on education and income ∗ Rank items used to create competition measures because some items may be more important than others ∗ Use a broad measure of sophistication like an index that aggregates borrower familiarity with mortgage products

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Competition Measures

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Competition Measures

∗ Main measure captures extent to which borrowers are exposed to competition using number of lenders a borrower seriously considers

⋆ Alternative measure: Whether borrower is not located in a low-income metro tract

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Competition Measures

∗ Main measure captures extent to which borrowers are exposed to competition using number of lenders a borrower seriously considers

⋆ Alternative measure: Whether borrower is not located in a low-income metro tract

∗ Comments:

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Competition Measures

∗ Main measure captures extent to which borrowers are exposed to competition using number of lenders a borrower seriously considers

⋆ Alternative measure: Whether borrower is not located in a low-income metro tract

∗ Comments:

⋆ Concern with main measure: it is up to borrower to decide the level of competition - alternative measure does better on this dimension

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Competition Measures

∗ Main measure captures extent to which borrowers are exposed to competition using number of lenders a borrower seriously considers

⋆ Alternative measure: Whether borrower is not located in a low-income metro tract

∗ Comments:

⋆ Concern with main measure: it is up to borrower to decide the level of competition - alternative measure does better on this dimension

  • Independent competition measure, such as HHI of local
  • riginations using HMDA data

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SLIDE 19

Competition Measures

∗ Main measure captures extent to which borrowers are exposed to competition using number of lenders a borrower seriously considers

⋆ Alternative measure: Whether borrower is not located in a low-income metro tract

∗ Comments:

⋆ Concern with main measure: it is up to borrower to decide the level of competition - alternative measure does better on this dimension

  • Independent competition measure, such as HHI of local
  • riginations using HMDA data
  • Use average number of lenders contacted as a measure of

local competition

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SLIDE 20

Competition Measures

∗ Main measure captures extent to which borrowers are exposed to competition using number of lenders a borrower seriously considers

⋆ Alternative measure: Whether borrower is not located in a low-income metro tract

∗ Comments:

⋆ Concern with main measure: it is up to borrower to decide the level of competition - alternative measure does better on this dimension

  • Independent competition measure, such as HHI of local
  • riginations using HMDA data
  • Use average number of lenders contacted as a measure of

local competition

⋆ Impact of the expansion of Fintec industry: Quicken Loans is the largest mortgage originator

  • Can we still talk about a local mortgage market competition?

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Additional Comments

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

∗ Non-recourse and judicial foreclosure states

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

∗ Non-recourse and judicial foreclosure states ∗ Risk-based explanation of sophistication effect (Table 5) using ex-post change in credit rating to proxy for unobservable risk?

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

∗ Non-recourse and judicial foreclosure states ∗ Risk-based explanation of sophistication effect (Table 5) using ex-post change in credit rating to proxy for unobservable risk? ∗ Would have like to see more on the effect of sophistication for first-time buyers and minorities

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

∗ Non-recourse and judicial foreclosure states ∗ Risk-based explanation of sophistication effect (Table 5) using ex-post change in credit rating to proxy for unobservable risk? ∗ Would have like to see more on the effect of sophistication for first-time buyers and minorities ∗ For emphasis, it may be useful including first column of Table 5 in Table 8

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

∗ Non-recourse and judicial foreclosure states ∗ Risk-based explanation of sophistication effect (Table 5) using ex-post change in credit rating to proxy for unobservable risk? ∗ Would have like to see more on the effect of sophistication for first-time buyers and minorities ∗ For emphasis, it may be useful including first column of Table 5 in Table 8 ∗ Suggest changing ”First Mortgage” to ”First-Time Buyers”

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Additional Comments

∗ Potential endogeneity from measurement errors or

  • mitted variables?

∗ Non-recourse and judicial foreclosure states ∗ Risk-based explanation of sophistication effect (Table 5) using ex-post change in credit rating to proxy for unobservable risk? ∗ Would have like to see more on the effect of sophistication for first-time buyers and minorities ∗ For emphasis, it may be useful including first column of Table 5 in Table 8 ∗ Suggest changing ”First Mortgage” to ”First-Time Buyers” ∗ Best experiment design?

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Additional Comments ∗ Study Sample:

⋆ NSMO sample from 2013 t0 2016 ⋆ GSE-guaranteed mortgages? Any jumbos? ⋆ LTVs ranging from 2 to 125 are a bit surprising for the period

  • LTVs used for non-first liens when generating LTV fixed

effects?

⋆ How many below 700 credit score loans? How common was this during the studied period? ⋆ For clarity, define closed-end mortgages

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Conclusion

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Conclusion ∗ A very important and interesting research topic given the importance of housing finance

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Conclusion ∗ A very important and interesting research topic given the importance of housing finance ∗ Convincing results!

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