The AD&Co US Mortgage High Yield Index crOAS, credit-and-option-adjusted spread, is an extension of the traditional OAS measure. On a set of 20 standardized, probabilistically weighted, market-and-model stress scenarios, AD&Co computes a discount rate that equates expected present value of tranche's cash flows to the observed market price; the cash flows are loss-adjusted using AD&Co's LoanDynamics Model (LDM). Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. Until February of 2022, AD&Co has been computing crOAS relative to the Libor-swap rate curve that is set to retire in 2023. Following the prevailing market trend and starting from its February-end report, AD&Co began computing the crOAS metric relative to the Treasury-curve benchmark. Given the differences between the two rate curves, this change should account for approximately 6 to 12 bps widening in spread for the AD&Co CRT Indices. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.

The Mortgage Debt Outstanding table is no longer being updated as of March 2020. Many of the series that were published in this table can be found in the Z1 Financial Accounts of the United States release. The Z1 equivalent of this series is found at ASHMA. (https://fred.stlouisfed.org/series/ASHMA) For further information, please refer to the Board of Governors of the Federal Reserve System's Mortgage Debt Outstanding (http://www.federalreserve.gov/econresdata/releases/mortoutstand/current.htm).

On November 17, 2022, Freddie Mac changed the methodology of the Primary Mortgage Market Survey® (PMMS®). The weekly mortgage rate is no longer based on a survey of lenders. For more information regarding Freddie Mac’s enhancement, see their research note (https://www.freddiemac.com/research/insight/20221103-freddie-macs-newly-enhanced-mortgage-rate-survey). Data are provided “as is” by Freddie Mac®, with no warranties of any kind, express or implied, including but not limited to warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user’s sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

The AD&Co US Mortgage High Yield Index (USMHY) tracks the total return of the bonds issued within the CRT programs of Fannie Mae and Freddie Mac. USMHY is an informational, investment-oriented monthly index of the return components: price, coupon, paydown, and credit loss. Accompanied by standard risk metrics from our models, the index is useful for comparisons with individual CRT bonds or relative value to other credit markets. Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.

The 75th percentile original loan-to-value (LTV) ratio. The original LTV ratio is the original loan amount divided by the lesser of the selling price or the appraised value of the property securing the mortgage at origination. Only mortgage accounts with LTV values greater than 0 percent and less than 125 percent are included in the original LTV percentile calculations.For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

The 90th percentile original loan-to-value (LTV) ratio. The original LTV ratio is the original loan amount divided by the lesser of the selling price or the appraised value of the property securing the mortgage at origination. Only mortgage accounts with LTV values greater than 0 percent and less than 125 percent are included in the original LTV percentile calculations.For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

The 100 largest banks are measured by consolidated foreign and domestic assets.

For further information, please refer to the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices release, online at http://www.federalreserve.gov/boarddocs/SnLoanSurvey/.

Share of first lien balances 60 or more days past due. All past due active mortgages are included in the days past due calculations, including foreclosures. Borrowers who qualify for forbearance and stop making payments are also recorded as past due for all past due rate calculations. Days past due rates are presented using dollars (balance based). For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

Source ID: FA893065015.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA893065015&t=) provided by the source.

The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The 90th percentile back-end debt-to-income (DTI) ratio. The back-end DTI ratio is the percentage of a borrower's monthly income that would go toward all the borrower's debt obligations. The total monthly debt payments (including proposed housing expenses) are divided by the total monthly income of the borrower. Back-end DTI is reported at origination. For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

For further information, please refer to the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices release, online at http://www.federalreserve.gov/boarddocs/SnLoanSurvey/.

For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/.

Share of first lien balances 90 or more days past due. All past due active mortgages are included in the days past due calculations, including foreclosures. Borrowers who qualify for forbearance and stop making payments are also recorded as past due for all past due rate calculations. Days past due rates are presented using dollars (balance based). For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

The 50th percentile original loan-to-value (LTV) ratio. The original LTV ratio is the original loan amount divided by the lesser of the selling price or the appraised value of the property securing the mortgage at origination. Only mortgage accounts with LTV values greater than 0 percent and less than 125 percent are included in the original LTV percentile calculations.For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

Charge-off rates are annualized, net of recoveries.

For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/.

Source ID: FA403063653.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FA403063653&t=) provided by the source.

OECD descriptor ID: CPRPTT02 OECD unit ID: IXOB OECD country ID: GBR All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

Share of first lien accounts 60 or more days past due. All past due active mortgages are included in the days past due calculations, including foreclosures. Borrowers who qualify for forbearance and stop making payments are also recorded as past due for all past due rate calculations. Days past due rates are presented using the number of accounts (accounts based). For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

The AD&Co US Mortgage High Yield Index crOAS, credit-and-option-adjusted spread, is an extension of the traditional OAS measure. On a set of 20 standardized, probabilistically weighted, market-and-model stress scenarios, AD&Co computes a discount rate that equates expected present value of tranche's cash flows to the observed market price; the cash flows are loss-adjusted using AD&Co's LoanDynamics Model (LDM). Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. Until February of 2022, AD&Co has been computing crOAS relative to the Libor-swap rate curve that is set to retire in 2023. Following the prevailing market trend and starting from its February-end report, AD&Co began computing the crOAS metric relative to the Treasury-curve benchmark. Given the differences between the two rate curves, this change should account for approximately 6 to 12 bps widening in spread for the AD&Co CRT Indices. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.

Source ID: FL643065005.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL643065005&t=) provided by the source.

Delinquent loans and leases are those past due thirty days or more and still accruing interest as well as those in nonaccrual status.

Data obtained from ACS Demographic and Housing Estimates, table DP05. Multiyear estimates from the American Community Survey (ACS) are "period" estimates derived from a data sample collected over a period of time, as opposed to "point-in-time" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period. Multiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates. Please see "Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates" on publication page 13 (file page 19) of the 2018 ACS General Handbook (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

Data obtained from ACS Demographic and Housing Estimates, table DP05. Multiyear estimates from the American Community Survey (ACS) are "period" estimates derived from a data sample collected over a period of time, as opposed to "point-in-time" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period. Multiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates. Please see "Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates" on publication page 13 (file page 19) of the 2018 ACS General Handbook (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

Data obtained from ACS Demographic and Housing Estimates, table DP05. Multiyear estimates from the American Community Survey (ACS) are "period" estimates derived from a data sample collected over a period of time, as opposed to "point-in-time" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period. Multiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates. Please see "Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates" on publication page 13 (file page 19) of the 2018 ACS General Handbook (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

Estimate of the percentage of the population with a credit score below 660. Counties with fewer than 20 people in the sample are not reported for privacy reasons. The estimate is based on the representative primary sample of the New York Fed Consumer Credit Panel, which includes only the primary sample member per household (about 5% of the U.S. credit report population, defined as all U.S. residents with a credit history). For more details about the data and sample, see "An Introduction to the Consumer Credit Panel" (https://www.newyorkfed.org/research/staff_reports/sr479.html). Source: Federal Reserve Bank of New York/Equifax Consumer Credit Panel Reprinted with permission. Copyright © 2016, Equifax. All rights reserved. Reproduction of median credit score per county in any form is prohibited except with the prior written permission of Equifax.

For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/.

OECD Descriptor ID: IRLOHO02 OECD unit ID: PC OECD country ID: LUX All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

The 50th percentile credit score among outstanding first liens. The current credit score is the most recently determined commercially available credit score of the primary borrower on the mortgage loan. The credit score provider may vary by FR Y-14M reporting firm and even within the firm's reporting. Only mortgage accounts with credit scores between 150 and 950 are included in the original credit score percentile calculations. For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

Source ID: LM263063603.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=LM263063603&t=) provided by the source.

Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (OBMMI™) is calculated from actual locked rates with consumers across over one-third of all mortgage transactions nationwide. OBMMI includes multiple mortgage pricing indices developed around the most popular products and specific borrower and loan level attributes. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).

The 75th percentile front-end debt-to-income ratio. The front-end DTI ratio is the percentage of a borrower's monthly income that would go toward housing expenses. The total housing liabilities of the borrower, including the monthly principal, interest, taxes, insurance, association dues, etc., are divided by the total monthly income of the borrower. Front-end DTI is reported at origination. For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

Source ID: FL673065500.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL673065500&t=) provided by the source.

The Mortgage Debt Outstanding table is no longer being updated as of March 2020. Many of the series that were published in this table can be found in the Z1 Financial Accounts of the United States release. The Z1 equivalent of this series is found at BOGZ1FL403065035Q. (https://fred.stlouisfed.org/series/BOGZ1FL403065035Q) For further information, please refer to the Board of Governors of the Federal Reserve System's Mortgage Debt Outstanding (http://www.federalreserve.gov/econresdata/releases/mortoutstand/current.htm).

This series is found in Assets and Liabilities of FDIC-Insured Commercial Banks and Savings Institutions. The Quarterly Banking Profile is a quarterly publication that provides the earliest comprehensive summary of financial results for all FDIC-insured institutions. See Notes to Users (https://www.fdic.gov/analysis/quarterly-banking-profile/qbp/timeseries/qbpnot.pdf) for more information.

For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/.

Source ID: FL643065505.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL643065505&t=) provided by the source.

The AD&Co US Mortgage High Yield Index crOAS, credit-and-option-adjusted spread, is an extension of the traditional OAS measure. On a set of 20 standardized, probabilistically weighted, market-and-model stress scenarios, AD&Co computes a discount rate that equates expected present value of tranche's cash flows to the observed market price; the cash flows are loss-adjusted using AD&Co's LoanDynamics Model (LDM). Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. Until February of 2022, AD&Co has been computing crOAS relative to the Libor-swap rate curve that is set to retire in 2023. Following the prevailing market trend and starting from its February-end report, AD&Co began computing the crOAS metric relative to the Treasury-curve benchmark. Given the differences between the two rate curves, this change should account for approximately 6 to 12 bps widening in spread for the AD&Co CRT Indices. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.

The total count of first-lien closed-end loans secured by 1-4 family residential real estate among firms included in the reporting panel. Includes both first-lien mortgages and first-lien home equity loans for portfolio mortgages only. Reported accounts are as of quarter end. For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

The 25th percentile credit score among first lien originations. The original credit score is the credit score at origination for the borrower using a commercially available credit score. The original credit score provider may vary by FR Y-14M reporting firm and even within the firm's reporting. Only mortgage accounts with credit scores between 150 and 950 are included in the original credit score percentile calculations. These data include total bank loans originated and held in portfolio in a given quarter, including those that will later be sold or securitized. For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

The 90th percentile original loan-to-value (LTV) ratio. The original LTV ratio is the original loan amount divided by the lesser of the selling price or the appraised value of the property securing the mortgage at origination. Only mortgage accounts with LTV values greater than 0 percent and less than 125 percent are included in the original LTV percentile calculations.For more detail see: methodology (https://www.philadelphiafed.org/-/media/frbp/assets/surveys-and-data/y14/y-14-data-methodology).

In May of 2016, the source discovered errors in the calculation of the CFSI and began a detailed review of the index and its underlying model. Following that review, the source decided to discontinue the CFSI. https://www.clevelandfed.org/en/our-research/indicators-and-data/cleveland-financial-stress-index.aspx The source has posted to their website a message regarding this release: Cleveland Financial Stress Index under review and a revised index expected in the fourth quarter of 2016. A thorough review of the index is being conducted to both simplify the index and enhance its robustness, while also taking into consideration changes in financial markets and institutions. This review and the revisions to the CFSI are expected to be completed sometime during the fourth quarter of this year, and additional details will be made available at that time. Thank you for your patience while we improve the CFSI. This chart shows the contribution of the commercial mortgage-backed security spread to CFSI. This spread is measured as the difference between the yield on commercial mortgage-backed securities and 5-Year Treasury. It captures the ability of originators to raise capital and the relative riskiness of the securitized asset

This item indicates the face value of federal agency securities and current face value of mortgage-backed securities, which is the remaining principal balance of the underlying mortgages.

This item indicates the face value of federal agency securities and current face value of mortgage-backed securities, which is the remaining principal balance of the underlying mortgages.

The count of listings which have had their price increased in a given market during the month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The average listing price in a given market during the specified month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The median home size in square feet for listings in a given market during the specified month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The median number of days property listings spend on the market in a given geography during the specified month (calculated from list date to closing, pending, or off-market date depending on data availability). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The count of listings which have had their price reduced in a given market during the month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).