View
756
Download
2
Tags:
Embed Size (px)
Citation preview
http://www.responsiblelending.org
“Under the Hood”
Predatory Lending in Dealer-Arranged Auto Loan Financing
Delvin Davis
http://www.responsiblelending.org 2
Research Questions/Objectives
Illustrate different dynamics working within dealer-arranged auto financing.
Examine how these factors influence both loan affordability and sustainability.
Publish consistent data points on the auto loan industry that can be usable elsewhere. Including data on Buy-Here Pay-Here Dealers
http://www.responsiblelending.org
Dealer-arranged (Indirect) Auto Financing
Background Data on Indirect Auto Lending and the Dealer F&I Department
http://www.responsiblelending.org 4
Total Auto Loan Volume(Billions of dollars)
365.1 367.2 349.8 356.5 358.5 354.7 340.9 339.1291.7 301.0
380.2 371.2 370.6 381.6 407.2 420.5 446.9 436.9
352.9276.9
0.0
100.0
200.0
300.0
400.0
500.0
600.0
700.0
800.0
900.0
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
New Volume
Used Volume
Source: CNW Market Research
Note: New sales data from franchise dealers only. Used sale data include franchise, independent and casual sales.
http://www.responsiblelending.org 5
F&I Department Have Highest Margins of the Dealership
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Sales Dept (New & Used) F&I Dept Service Dept Parts & Accessories
Source: CNW Marketing Research
http://www.responsiblelending.org 6
Dealerships Lean Heavily on F&I for Profit
F&I profits are enhanced by high-margin practices APR Dealer Kickbacks
– $18.1 Billion in 2009
Loan Packing– Aftermarket product sales
with high markups
Yo-Yo Scams – More prevalent with low-
income borrowers
Rolling Negative Equity– “Drive one, pay for two”– Stretching loan terms
Source: CNW Marketing Research; For franchised dealers only (selling vehicles to private parties)
http://www.responsiblelending.org 7
Direct and Indirect Market Shares by Loan Source
Direct and Indirect Auto Lending
20.8%
45.1%
15.5%
8.3%6.9%
3.3%
79.2%
Direct Lending Captives Banks Credit Unions Independent (Finance) Other
Source: JD Power and Associates presentation (2008)
http://www.responsiblelending.org 8
Cars are More Affordable, but Less Sustainable
Source: Comerica Auto Affordability Index; CNW Marketing Research (repossession rates)
http://www.responsiblelending.org 9
Repossession Rates by Lender Type
Major captive auto finance lenders settled class action lawsuits from 2003-2007. Resulted in self-imposed
caps on interest rate markups (usu. 2.0%-2.5%)
Caps dealt with race discrimination in the extreme cases, but allowed markups across the board
Even with caps, captives still slightly outpace banks and credit unions in current repo rates
0.19%
0.47%0.54%
1.55%
0.55%
0.17%
0.38%0.52%
2.31%
0.62%
0.00%
0.50%
1.00%
1.50%
2.00%
2.50%
Credit Union Banks Captive Auto Finance/Other Total
2Q2009 2Q2010
Source: Experian data
http://www.responsiblelending.org
Auto Loan Sustainability and Affordability
Using Auto ABS Pool Data to Examine Loan Delinquency and Rate Markup
http://www.responsiblelending.org 11
Using Auto ABS Securities
Mined data from 76 auto ABS prospectuses Credit Info: Avg Amount Financed, Avg FICO,
% Used Sales, Avg Term, Weighted Avg APR Lender Type: Captive Lender (with and without a
markup cap), Bank, or Finance Company
Bloomberg: Pool yields and 60-Day DQ rates Added macroeconomic variables based on date of
pool issuance Unemployment rate, foreclosure rate, bankruptcy
filings, Federal Reserve market rates
http://www.responsiblelending.org 12
Estimating Interest Rate Markup
For each pool, an estimate for an objective investor rate was calculated. Used the reported yield and payment schedule for each pool’s class
to determine the combined yield for the pool overall. Determined what rate an investor would be willing to pay over and
above the comparable Treasury rate. Investor rates then adjusted to account for presence of
overcollateralization and withheld pool classes. (“Fitted Investor Rate”
Rate Markup = Pool Wtd Avg APR – Fitted Investor Rate
http://www.responsiblelending.org 13
Model 1: Dependent Variable – 60 Day DQ
Unstandardized CoefficientsStandardized
Coefficients tSig.
B Std. Error Beta B Std. Error
(Constant) 2.280 1.098 2.076 .043
Avg Amount Financed (in '000s) .007 .014 .048 .479 .634
Weighted Avg FICO .001 .002 .086 .337 .737
% Used Sales in Pool -.002 .002 -.162 -1.158 .252
Weighted Avg Term -.030 .015 -.254 -1.938 *.058
Captive with Markup Cap -.257 .116 -.252 -2.222 **.030
Bank -.252 .153 -.226 -1.648 .105
Finance Co. -.012 .157 -.011 -.074 .942
Change in Unemployment Rate -.001 .003 -.084 -.335 .739
Change in Foreclosure Rate .006 .004 .508 1.322 .192
Change in Bankruptcy Filings -.008 .007 -.468 -1.217 .229
Change in Fed Reserve Prime Rate -.010 .010 -.122 -1.014 .315
2008 Issuance .088 .281 .094 .314 .755
2009 Issuance -.214 .410 -.216 -.522 .604
2010 Issuance -.417 .421 -.367 -.991 .326
Estimated Rate Markup .112 .036 .983 3.110 ***.003
http://www.responsiblelending.org 14
Model 1: Key Points
Rate markup is a significant driver of 60-day DQ No macroeconomic factors are significant
Implies dealers cannot entirely blame rising DQ on the current economy
Existence of a markup cap helps to lower DQ Loan term (in months) associated with lower DQ FICO, a traditional measure of risk, is also not
significant driver of DQ Possibly explained through the markup variable
http://www.responsiblelending.org 15
Model 2: Dep Variable – Estimated Rate Markup
Unstandardized CoefficientsStandardized
Coefficients tSig.
B Std. Error Beta B Std. Error
(Constant) -3.414 3.548 -.962 .340
Avg Amount Financed (in '000s) -.138 .039 -.116 -3.563 ***.001
Weighted Avg FICO -.058 .004 -.740 -16.237 ***.000
% Used Sales in Pool .018 .006 .140 2.853 ***.006
Weighted Avg Term .155 .045 .150 3.486 ***.001
Captive with Markup Cap -1.241 .389 -.144 -3.193 ***.002
Bank .537 .467 .058 1.150 .255
Finance Co. -.432 .503 -.049 -.859 .394
Fed Reserve Prime Rate .948 .689 .087 1.375 .174
Fed Reserve 3-Year Rate -.602 .263 -.114 -2.289 **.025
Fed Reserve BBB Rate .215 .378 .042 .568 .572
FICO x Captive w/Cap Interaction .030 .010 .114 3.175 ***.002
Fitted Investor Rate -1.546 .842 -.183 -1.835 *.071
http://www.responsiblelending.org 16
Model 2: Key Points
Credit factors, including FICO are significant with Estimated Markup On surface, conflicts with notion that markups are
arbitrary and subjective Extended terms and used sales drive higher markups Credit factors still significant even after controlling for
investor rate
Markup caps significant with lower markups For captive lenders with caps, low-FICO borrowers are
marked up to a lesser degree
http://www.responsiblelending.org
Buy Here Pay Here Dealerships
Churning vehicles with high markups, promoting extremely high default rates
http://www.responsiblelending.org 18
Buy Here Pay Here Facts
In 2009, there were 33,000 BHPH dealerships that sold 1.8 million units, with an estimated 2.37 million (worth $14 billion) sold in 2010.
BHPH accounted for 7.56% of all sales from dealerships in 2009.
Military groups are targeted, having above-average default rates Military default rate (32.8%) Retired military default rate (41.5%)
http://www.responsiblelending.org 19
BHPH Industry Data
2009 2008 2007 2006
Number of Weekly Payments 132 129 134 131
Average Weekly Payment $84 $84 $85 $82
Amount Financed $9,294 $9,195 $9,085 $8,844
Downpayment $1,040 $1,089 $1,018 $900
APR 24.4% 24.5% 28.3% 25.1%
Actual Cost Per Vehicle (including rehab) $5,064 $5,284 $5,111 $4,949
% Vehicle Sale Markup 83.5% 74.0% 77.8% 78.7%
Weeks Until Dealer Breaks Even at ACV 48 50 48 49
Average Default Rate 30.1% 28.4% 27.7% 26.2%
Bad Debts (% Written Off) 20.0% 21.0% 19.0% 20.0%
Troubled Loans (Defaults + Bad Debts) 50.1% 49.4% 46.7% 46.2%
http://www.responsiblelending.org 20
BHPH Collections and Business Model
Model promotes “churning” of same car to several customers, maximizing profit at origination. Quick trigger is needed on repos to reclaim car value
– GPS and starter interrupt units are increasingly popular– Quote: “It’s all about collections, not vehicle sales.”
Typical consumer starts to default 4th month from origination and has most severe delinquencies in 21st month.
– Follow-up calls on trading-in for a new car happen by month 18.
Problems with underwriting standards:– Quote: Using the SWAG method: a “Scientific, Wild-Ass Guess”
http://www.responsiblelending.org 21
Discussion on Findings
Questions about current data and findings? Points for Discussion:
Can we still claim that markups are subjective and arbitrary?
Advocating for markup caps as a viable solution? (as opposed to flat fees)
Discussion of BHPH: Include in this report or expound in a separate study?
Advocating for any particular policy recommendations?