Updated Figures for Tracking and Stress Testing U.S. Household Leverage. Andreas Fuster, Benedict Guttman Kenney, and Andrew Haughwout 1

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Updated Figures for Tracking and Stress Testing U.S. Household Leverage Andreas Fuster, Benedict Guttman Kenney, and Andrew Haughwout 1 Federal Reserve Bank of New York Staff Report No. 787 In this document, we provide updates for a subset of figures/tables from our paper, using data through 2017:Q3. Links: Paper: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr787.pdf Blog post: http://libertystreeteconomics.newyorkfed.org/2017/02/how resilient is the us housing market now.html Technical notes: We allow for changes in the data going back to 2016:Q1. This allows for ample time to match the McDash data to CCP data in the period after CRISM is available. Prior to this, we do not allow our data to change, even if there are additional loans added to CRISM (for instance, in the case of additional loan servicers reporting to McDash). Because of this, there may be minor changes to historical series in recent months relative to the paper (or the previous update) as we replace loans from our McDash CCP match with loans from CRISM and backfill new loans to 2016:Q1 (as opposed to origination). The data may also change if there are any recent changes in loan servicer coverage in McDash. In particular, if new loan servicers add loans to McDash in our update period, these loans will be backfilled to the point of update, rather than to origination. Our backfilling strategy allows us to preserve the historical data series, but will cause occasional sharp changes in the distribution of loans (for instance, with second liens or of a certain investor type) at the point of update. These changes should not affect aggregate balances that are weighted to the CCP. 1 We thank Nima Dahir and Mike Neubauer for excellent research assistance.

Updated Figures through 2017:Q3 Figure 2: Nationwide mortgage and junior lien debt for properties with positive outstanding first mortgage balances, 2005 2017 a. Outstanding debt Outstanding debt ($bn) 10,000 9,000 8,000 7,000 6,000 5,000 4,000 3,000 2,000 1,000 0 2005q1 2007q1 2009q1 2011q1 2013q1 2015q1 2017q1 1,000 900 800 700 600 500 400 300 200 100 0 HELOC / CES outstanding debt ($bn) Mortgage and junior liens (LHS) HELOC (RHS) Mortgage (LHS) CES (RHS) b. Fraction of properties with second lien 30 % of properties with at least one second lien 25 20 15 10 5 0 2005q1 2007q1 2009q1 2011q1 2013q1 2015q1 2017q1

Figure 3: Nationwide distribution of leverage, 2005 2017 Note: CLTV = combined loan to value ratio, as defined in Section 2.1. MLTV = mortgage loan to value ratio, including first lien mortgage debt only. a. Averages CLTV, MLTV (%) 100 95 90 85 80 75 70 65 60 55 50 2005q1 2007q1 2009q1 2011q1 2013q1 2015q1 2017q1 Mean CLTV (balances) Mean CLTV (loans) Mean MLTV (balances) Mean MLTV (loans) b. Distribution by loans 130 110 CLTV, MLTV (%) 90 70 50 30 2005q1 2007q1 2009q1 2011q1 2013q1 2015q1 2017q1 P90 CLTV P75 CLTV P50 CLTV P25 CLTV P90 MLTV P75 MLTV P50 MLTV P25 MLTV

c. Distribution by balance weighted loans 130 110 CLTV, MLTV (%) 90 70 50 30 2005q1 2007q1 2009q1 2011q1 2013q1 2015q1 2017q1 P90 CLTV P75 CLTV P50 CLTV P25 CLTV P90 MLTV P75 MLTV P50 MLTV P25 MLTV

Figure 4: Nationwide distribution of CLTVs for properties with a first mortgage, 2005 2017 a. Distribution of loans (equal weighted) 100 90 % of mortgaged properties 80 70 60 50 40 30 20 10 0 2005q2 2006q2 2007q2 2008q2 2009q2 2010q2 2011q2 2012q2 2013q2 2014q2 2015q2 2016q2 2017q2 CLTV < 60% CLTV 60-80% CLTV 80-100% CLTV 100-120% CLTV > 120% b. Distribution of balance weighted loans 100 90 % of mortgaged properties 80 70 60 50 40 30 20 10 0 2005q2 2006q2 2007q2 2008q2 2009q2 2010q2 2011q2 2012q2 2013q2 2014q2 2015q2 2016q2 2017q2 CLTV < 60% CLTV 60-80% CLTV 80-100% CLTV 100-120% CLTV > 120%

Figure 7: Estimated balance weighted share of properties with positive first mortgage debt and CLTV >= 80% or >=100%, as of 2017:Q3, by state US AK AL AR AZ CA CO CT DC DE FL GA HI IA ID IL IN KS KY LA MA MD ME MI MN MO MS MT NC ND NE NH NJ NM NV NY OH OK OR PA RI SC SD TN TX UT VA VT WA WI WV WY 2.2 2.3 3.2 1.6 3.3 1.5 0.6 5.5 0.8 2.7 5.0 2.8 1.0 0.9 1.3 3.6 1.5 1.6 1.3 2.4 1.2 4.9 2.1 2.0 0.9 1.6 3.6 0.8 2.1 1.3 0.7 1.8 4.8 2.8 5.6 2.2 2.5 2.0 0.7 2.2 4.9 2.2 1.4 1.0 0.7 0.8 2.6 0.8 0.7 1.7 2.5 1.1 19.5 34.6 32.7 30.5 26.3 11.0 12.0 30.0 14.1 29.1 24.5 22.7 15.3 24.3 15.8 24.5 23.9 21.8 24.0 26.9 13.5 31.1 21.9 16.2 19.3 21.9 32.7 17.4 23.5 23.9 22.1 18.7 23.9 24.7 29.4 13.3 24.8 32.1 12.0 25.1 23.5 23.7 24.4 20.8 18.3 16.3 28.1 19.4 12.0 20.6 31.7 27.9 CLTV >=80% CLTV >= 100% 0 10 20 30 40 Percent

Figure 8: Estimated balance weighted share of properties with positive first mortgage debt and CLTV >= 80% or >= 100%, 2017:Q3 vs. peak share over 2005 2017, by state 2017:Q3 % of balances CLTV >= 80% 10 15 20 25 30 35 VT ND AK MSAL OK WV MD AR CT DE WY VA LA PA IA NM ILOH SD KYNJ NC SC RI IN GA MENE KS MO WITN US MN TX NH MT UT ID HI DC NY MA CO WA OR CA AZ FL MI NV 20 40 60 80 100 Max % of balances with CLTV >= 80% 2005:Q2-2017:Q3 2017:Q3% of balances CLTV >= 100% 0 2 4 6 CT NJ MD RI MS IL AL DE NM GA WV VA LA OH NY AK ME PA NC SC US OK NH AR KS WI MO IN CA SD ND KY MA ID WY HI TN IA DC MN VT NE MT TX OR WAUT CO AZ FL MI NV 0 20 40 60 80 Max % of balances with CLTV >= 100% 2005:Q2-2017:Q3

Figure 11: Share of non seriously delinquent balances by CLTV FICO buckets FICO Score 2017:Q3 CLTV <80% 80 100% 100 120% >120% Subtotal <600 4.1% 1.4% 0.2% 0.1% 5.8% 600 659 5.2% 2.1% 0.2% 0.1% 7.7% 660 699 7.9% 2.9% 0.3% 0.1% 11.1% 700 739 11.2% 3.3% 0.2% 0.1% 14.9% >=740 52.3% 7.5% 0.5% 0.2% 60.6% Subtotal 80.7% 17.2% 1.4% 0.7%

Figure 13: Scenarios for house price shocks, distribution across mortgaged properties in our sample, 2005 2017 HPI 2 years ago HPI 4 years ago 10th Pctile 50th Pctile 90th Pctile 10th Pctile 50th Pctile 90th Pctile 2006:Q1 34.4% 18.4% 6.4% 51.0% 31.2% 11.6% 2007:Q1 20.7% 8.6% 1.9% 43.1% 27.1% 9.7% 2008:Q1 4.9% 7.1% 36.5% 26.7% 11.2% 5.3% 2009:Q1 4.2% 19.9% 70.4% 8.7% 10.8% 52.9% 2010:Q1 2.7% 13.9% 39.6% 1.3% 20.6% 89.4% 2011:Q1 0.6% 5.4% 16.2% 7.4% 28.5% 88.3% 2012:Q1 2.3% 4.3% 12.1% 3.4% 19.2% 45.3% 2013:Q1 15.7% 6.5% 1.3% 12.8% 0.4% 12.4% 2014:Q1 24.7% 12.1% 3.3% 22.3% 9.0% 3.0% 2015:Q1 18.7% 11.1% 3.4% 31.7% 15.6% 3.3% 2016:Q1 15.4% 8.7% 1.8% 34.4% 20.1% 6.4% 2016:Q3 15.3% 9.2% 2.5% 31.7% 19.0% 7.1% 2017:Q1 15.6% 9.6% 3.3% 30.7% 19.9% 7.2% 2017:Q3 15.8% 10.0% 3.7% 28.0% 17.8% 7.3% Peak to trough (as of 2017:Q3) 10th Pctile 50th Pctile 90th Pctile 51.7% 26.0% 10.8%

Figure 14: Effects of different house price scenarios on CLTV distribution (balance weighted), 2017:Q3 a. Aggregate Scenario CLTV HPI as of 2017:Q3 HPI 2 years ago HPI 4 years ago Peak to trough <80% 80% 67% 55% 41% 80 90% 11% 15% 16% 13% 90 100% 6% 10% 13% 12% 100 120% 2% 6% 13% 17% >120% 1% 1% 4% 18% b. State level: estimated balance weighted fraction of borrowers in negative equity HPI 2 years HPI 4 years Peak totrough Highest level Base ago ago since 2005 US 2% 8% 17% 35% 33% AK 2% 4% 9% 17% 21% AL 3% 8% 14% 32% 28% AR 2% 7% 10% 15% 14% AZ 3% 13% 24% 77% 59% CA 2% 6% 16% 43% 48% CO 1% 7% 23% 9% 21% CT 5% 6% 6% 41% 25% DC 1% 2% 6% 3% 11% DE 3% 5% 10% 41% 32% FL 5% 15% 30% 74% 61% GA 3% 10% 24% 41% 44% HI 1% 7% 14% 17% 19% IA 1% 6% 13% 7% 10% ID 1% 10% 19% 52% 47% IL 4% 7% 14% 52% 39% IN 2% 8% 15% 23% 32% KS 2% 7% 13% 16% 21% KY 1% 7% 14% 11% 17% LA 2% 5% 11% 12% 14% MA 1% 5% 12% 18% 23% MD 5% 9% 14% 52% 37% ME 2% 8% 14% 30% 16% MI 2% 9% 23% 56% 63% MN 1% 7% 15% 37% 37% MO 2% 7% 15% 27% 29% MS 4% 7% 12% 28% 23% MT 1% 5% 12% 11% 16% NC 2% 8% 14% 19% 21% ND 1% 5% 17% 2% 4% NE 1% 7% 16% 6% 12% NH 2% 7% 13% 26% 26% NJ 5% 6% 9% 39% 27% NM 3% 7% 12% 41% 32% NV 6% 20% 40% 87% 76% NY 2% 4% 7% 12% 14% OH 2% 9% 18% 30% 35% OK 2% 5% 11% 7% 10% OR 1% 9% 24% 26% 33% PA 2% 6% 9% 18% 17% RI 5% 12% 21% 55% 41% SC 2% 9% 18% 26% 30% SD 1% 6% 15% 5% 6% TN 1% 9% 19% 13% 22% TX 1% 7% 19% 12% 19% UT 1% 11% 22% 37% 37% VA 3% 6% 11% 47% 33% VT 1% 3% 4% 9% 6% WA 1% 10% 24% 23% 34% WI 2% 7% 13% 21% 21% WV 3% 8% 12% 42% 27% WY 1% 4% 14% 19% 16%

Figure 17: 24 month serious delinquency forecasts (balance weighted) under different house price scenarios Note: Base = house prices stay constant at the level of the as of date; HPI 2 / HPI 4 = local house prices return to their level 2 (or 4) years ago; P2T = local house prices experience a drop similar to the drop from their peak to their trough during the period since 2005, measured again at the local (mostly county) level. Projections up to 2016m3 are the same as in the original paper and are given for reference. Delinquency rate (balances) Base HPI 2 HPI 4 P2T 2012m3 8.8% 8.0% 5.7% 16.0% 2012m6 7.9% 7.6% 5.9% 15.1% 2012m9 7.5% 7.7% 6.1% 14.8% 2012m12 7.4% 8.0% 6.8% 14.7% 2013m3 7.1% 8.3% 7.3% 14.7% 2013m6 6.3% 7.9% 7.1% 13.3% 2013m9 5.9% 7.8% 7.0% 12.8% 2013m12 5.8% 8.0% 7.0% 12.8% 2014m3 5.7% 8.0% 7.2% 12.6% 2014m6 5.2% 7.1% 6.9% 11.8% 2014m9 5.0% 6.8% 7.1% 11.6% 2014m12 5.1% 6.8% 7.5% 11.7% 2015m3 4.9% 6.5% 7.8% 11.4% 2015m6 4.6% 5.8% 7.4% 10.7% 2015m9 4.5% 5.5% 7.6% 10.6% 2015m12 4.5% 5.5% 7.8% 10.7% 2016m3 4.4% 5.3% 7.8% 10.4% 2016m9 4.2% 5.2% 7.2% 10.0% 2017m3 4.2% 5.2% 7.0% 9.9% 2017m9 4.0% 4.9% 6.2% 9.4%

Figure 18: 24 month serious delinquency forecasts (balance weighted) under different house price scenarios as of 2017:Q1 state level Note: Base = house prices stay constant at the level of the as of date; HPI 2 / HPI 4 = local house prices return to their level 2 (or 4) years ago; P2T = local house prices experience a drop similar to the drop from their peak to their trough during the period since 2005, measured again at the local (mostly county) level State delinquency rate (balances) 24 Months Base HPI 2 HPI 4 P2T US 4.0% 4.9% 6.2% 9.4% AK 4.7% 4.9% 5.6% 6.4% AL 5.6% 6.4% 7.2% 9.7% AR 5.0% 5.8% 6.1% 6.7% AZ 4.3% 5.6% 7.0% 17.6% CA 2.9% 3.7% 5.2% 9.9% CO 2.8% 3.9% 6.0% 4.1% CT 4.8% 4.9% 5.1% 9.8% DC 2.8% 3.1% 3.8% 3.4% DE 5.1% 5.5% 6.3% 10.5% FL 5.1% 6.6% 9.0% 18.2% GA 4.9% 6.2% 8.3% 11.5% HI 3.1% 3.7% 4.6% 5.2% IA 3.8% 4.6% 5.4% 4.6% ID 3.6% 5.0% 6.3% 12.1% IL 4.3% 5.0% 6.0% 11.8% IN 4.8% 5.8% 6.9% 8.1% KS 3.9% 4.7% 5.6% 6.1% KY 4.6% 5.6% 6.5% 6.1% LA 5.7% 6.2% 7.2% 7.2% MA 3.3% 4.1% 5.0% 6.1% MD 5.3% 6.0% 6.7% 12.8% ME 4.4% 5.5% 6.4% 8.5% MI 4.0% 5.2% 7.3% 13.5% MN 3.2% 4.2% 5.2% 8.3% MO 4.2% 5.2% 6.2% 8.0% MS 6.2% 7.0% 7.6% 9.9% MT 3.4% 4.1% 4.9% 4.8% NC 4.5% 5.5% 6.4% 7.0% ND 3.4% 4.0% 5.3% 3.6% NE 3.5% 4.4% 5.4% 4.3% NH 3.9% 4.9% 5.8% 7.7% NJ 4.5% 4.8% 5.4% 9.9% NM 4.7% 5.6% 6.3% 10.5% NV 5.0% 6.9% 10.0% 21.0% NY 3.5% 4.0% 4.6% 5.4% OH 4.7% 5.8% 7.0% 8.8% OK 5.3% 5.7% 6.6% 6.0% OR 2.7% 3.9% 6.0% 6.4% PA 4.4% 5.1% 5.6% 6.8% RI 4.7% 6.1% 7.3% 13.5% SC 4.7% 5.8% 7.0% 8.5% SD 3.4% 4.2% 5.2% 3.9% TN 4.4% 5.6% 7.1% 6.3% TX 4.4% 5.3% 7.0% 5.9% UT 3.3% 4.6% 6.1% 8.6% VA 4.2% 4.8% 5.4% 10.8% VT 3.5% 4.1% 4.2% 4.6% WA 2.9% 4.4% 6.4% 6.5% WI 3.7% 4.7% 5.4% 6.6% WV 5.9% 6.9% 7.5% 12.4% WY 4.2% 4.5% 5.5% 6.2%

Figure 19: CLTV distributions and delinquencies by funding source a. Average CLTVs, 2005 2017 110 100 Mean CLTV (%) 90 80 70 60 50 2005q1 2007q1 2009q1 2011q1 2013q1 2015q1 2017q1 GSE Portfolio Government Private b. CLTV categories by funding source, 2017:Q3 Funding Source CLTV Category GSE Government Portfolio Private <80% 87% 56% 88% 76% 80 90% 8% 25% 7% 11% 90 100% 3% 17% 3% 6% 100 120% 1% 2% 1% 4% >120% 0% 0% 1% 3% Share of Total Outstanding 55% 19% 18% 9% c. Delinquencies in stress testing scenarios, 2017:Q3 Scenario Funding source Base HPI 2 HPI 4 P2T GSE 2.8% 3.4% 4.3% 7.0% Government 7.4% 9.2% 11.5% 16.2% Portfolio 2.6% 3.3% 4.5% 7.3% Private 7.5% 9.0% 11.7% 15.6%