The Market Structure of Securitisation and the US Housing Bubble
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Real Estate Price Indices & Price Dynamics: an Overview from an Investments Perspective by David Geltner* Submitted to the A
Real Estate Price Indices & Price Dynamics: An Overview from an Investments Perspective By David Geltner* Submitted to the Annual Review of Financial Economics October, 2014 Abstract: This article reviews the state of the art in real estate price indexing and, related to that, the current state of knowledge about real estate price dynamics, with a primary focus on investment property, income generating commercial properties. Such assets form a large component of the national wealth and of the capital markets, and represent a major investment asset class. They are characterized by heterogeneity of various types, among assets, markets, and data sources, making the study of real estate pricing uniquely challenging. Yet urban economists and econometricians have pioneered major new price indexing methodologies in recent decades which, combined with new types of data sources, are now shedding new light on the nature of commercial property price dynamics, revealing both important commonalities as well as unique differences compared with equities and fixed-income securities pricing. Keywords: Commercial Property; Real Estate; Price Indexing; Price Dynamics; Asset Markets. *Massachusetts Institute of Technology, Department of Urban Studies & Planning, Center for Real Estate. Contact: [email protected]. 1 Table of Contents: 1. Introduction & Background …………………………………………………….…….. 3 2. Some Considerations About Real Estate Asset Markets …………………………….. 6 3. Pricing and Price Indexing in the Property Asset Market ………………………… 13 4. Methodology of Property Price Indexing …………………………………………..... 19 5. Some Findings from Property Price Indices ………………………………………… 24 6. Conclusion …………………………………………………………………………….. 28 Literture Cited …………………………………………………………………………... 30 2 Real Estate Price Indices & Price Dynamics: An Overview from an Investments Perspective David Geltner 1. INTRODUCTION & BACKGROUND This article will focus on asset price indices and price dynamics in real estate. -
CITY of BREMERTON, WASHINGTON PLANNING COMMISSION AGENDA ITEM AGENDA TITLE: Workshop to Discuss Nonconformities and Substitute Senate Bill 5451
Commission Meeting Date: March 20, 2012 Agenda Item: V.B.1 CITY OF BREMERTON, WASHINGTON PLANNING COMMISSION AGENDA ITEM AGENDA TITLE: Workshop to discuss Nonconformities and Substitute Senate Bill 5451. DEPARTMENT: Community Development PRESENTED BY: Nicole Floyd, City Planner SUMMARY: This workshop is part of a series of workshops to discuss the Draft Shoreline Master Program (SMP) update. Each workshop focuses on a different set of topics and or sections of the code. The Planning Commission has held two previous workshops focusing on general nonconformities and how they are applicable to the Shoreline Master Program. This workshop will focus on the potential impacts of utilizing the allowed language from Substitute Senate Bill (SSB) 5451in relationship to the nonconforming provisions of the Shoreline Master Program Update. In summary, the Bill was drafted to clarify The Department of Ecology’s review authority over the Statewide SMP update process. Specifically, it is not Ecology’s responsibility to determine what terms are used when referring to existing residential structures. Statewide, this means that there will continue to be substantial variation as to how local jurisdictions address nonconformities within the Shoreline. For Bremerton, it provides the opportunity to change how nonconformities are classified and how they are regulated. This report aims to help provide a better understanding of the underlying issues surrounding the optional language changes to the nonconforming code section. Staff is asking the Planning Commission to provide direction by answering the following questions: 1. Should the City create an alternate name for legal nonconforming residential structures on the shoreline; and 2. Should the City allow for the full replacement of such residential structures an unlimited number of times? Please keep these questions in mind when reading the report and reviewing the attachments, as the report is intended to help provide a wide range of data surrounding these two questions. -
Housing and the Financial Crisis
This PDF is a selection from a published volume from the National Bureau of Economic Research Volume Title: Housing and the Financial Crisis Volume Author/Editor: Edward L. Glaeser and Todd Sinai, editors Volume Publisher: University of Chicago Press Volume ISBN: 978-0-226-03058-6 Volume URL: http://www.nber.org/books/glae11-1 Conference Date: November 17-18, 2011 Publication Date: August 2013 Chapter Title: The Future of the Government-Sponsored Enterprises: The Role for Government in the U.S. Mortgage Market Chapter Author(s): Dwight Jaffee, John M. Quigley Chapter URL: http://www.nber.org/chapters/c12625 Chapter pages in book: (p. 361 - 417) 8 The Future of the Government- Sponsored Enterprises The Role for Government in the US Mortgage Market Dwight Jaffee and John M. Quigley 8.1 Introduction The two large government- sponsored housing enterprises (GSEs),1 the Federal National Mortgage Association (“Fannie Mae”) and the Federal Home Loan Mortgage Corporation (“Freddie Mac”), evolved over three- quarters of a century from a single small government agency, to a large and powerful duopoly, and ultimately to insolvent institutions protected from bankruptcy only by the full faith and credit of the US government. From the beginning of 2008 to the end of 2011, the two GSEs lost capital of $266 billion, requiring draws of $188 billion under the Treasured Preferred Stock Purchase Agreements to remain in operation; see Federal Housing Finance Agency (2011). This downfall of the two GSEs was primarily a question of “when,” not “if,” given that their structure as a public/private Dwight Jaffee is the Willis Booth Professor of Banking, Finance, and Real Estate at the University of California, Berkeley. -
Freddie Mac Conforming and Super Conforming Fixed Rate
Freddie Mac Conforming and Super Conforming Fixed Rate This matrix is intended as an aid to help determine whether a property/loan qualifies for certain Freddie Mac offered programs. It is not intended as a replacement for Freddie Mac guidelines. Users are expected to know and comply with Freddie Mac’s requirements. NOTE: This matrix includes overlays which may be more restrictive than Freddie Mac’s requirements. Program Qualifications x Eligible loans are conforming and super conforming mortgages (using higher maximum loan limits permitted in designated high cost areas) fixed rate only receiving LP Accept findings Maximum Loan Amount 2017 Conforming Maximum Loan Amounts (available 12/2/16) Units Continental US Alaska & Hawaii 1 $424,100 $636,150 2 $543,000 $814,500 3 $656,350 $984,525 4 $815,650 $1,223,475* 2017 Super Conforming Loan Amounts (available 12/2/16) Continental US Alaska and Hawaii Units Minimum Loan Maximum Loan Minimum Loan Maximum Loan 1 $424,101 $636,150 $636,151 $954,225 2 $543,001 $814,500 $814,501 $1,221,750* 3 $656,351 $984,525 $984,526 $1,476,775* 4 $815,651 $1,223,475* Ineligible Ineligible Permanent High Cost area the maximum potential loan limits for designated high-cost areas. Actual loan limits are established for each county (or equivalent) and the loan limits for specific high-cost areas may be lower. The original balance of a Mortgage must not exceed the maximum loan limit for the specific areas in which the mortgage premises is located. For specific loan limits for each high cost area, as released by the Federal Housing Finance Agency visit http://www.fhfa.gov/DataTools/Downloads/Pages/Conforming-Loan-Limits.aspx *Maximum Loan Amount in all cases may not exceed $1,000,000. -
What More Do We Need to Know About How to Prevent and Mitigate Displacement of Low- and Moderate-Income Households from Gentrifying Neighborhoods?
What More Do We Need to Know about How to Prevent and Mitigate Displacement of Low- and Moderate-Income Households from Gentrifying Neighborhoods? VICKI BEEN1 New York University he extent to which gentrification results in the displacement of low- and moderate-income households from neighborhoods undergoing signifi- cant change is still the subject of study and debate among urban policy researchers.2 Recent evidence suggests that, at least in areas outside low- vacancy “superstar cities”3 with intense gentrification, renters who likely Tare the most vulnerable to displacement generally do not move away from gentrifying neighborhoods at higher rates than such households move from nongentrifying areas.4 Elected officials, housing advocates, and the public, on the other hand, have no doubt that gentrification can and does cause displacement.5 There are a number of reasons the research findings on displacement may be less accu- rate or complete than reports from affected neighborhoods. First, there is considerable disagreement, especially early in the process, about which neighborhoods actually are gentrifying. Second, data tracking people’s moves to and from neighborhoods is limited because of concerns about the confidentiality of tax, social service, and other governmental data files that follow individuals over time, and because private sources of linked data, such as credit reporting bureau files, are incomplete in a variety of ways (some households don’t have credit files, for example). Third, even if residents of gentrifying neighborhoods may move no more often from gentrifying neighborhoods than similar households in other areas, they may move for different reasons. Residents of non-gentrifying neighborhoods may more often move voluntarily — seeking better neighborhoods or jobs, for example — while residents of gentrifying neighborhoods may more often move involuntarily, wanting to stay in the neighborhood but unable to afford it. -
U.S. House Price Dynamics and Behavioral Economics
U.S. House Price Dynamics and Behavioral Finance Christopher J. Mayer and Todd Sinai There has been considerable debate in recent years regarding the role of behavioral factors in determining housing prices. The question of whether psychology matters in the housing market has been settled long ago: the answer is yes. Rather, economists are now debating in what ways psychology impacts market behavior and how large an effect this impact has on housing prices. One oft-cited example of a clear behavioral bubble in housing is the sharp boom-bust in the Vancouver housing market during the early 1980s (see figure 1). In the 18 months between January 1980 and July 1981, real house prices grew 87 percent. In the subsequent 18 months, real prices fell by nearly 44 percent, plateauing at a level only 6 percent above where prices were three years earlier before the boom began. While news and rumors about Britain’s returning Hong Kong to China may have swayed sentiment in the Vancouver market, where many wealthy Hong Kong residents own second homes, it is very difficult to use funda- mental factors in explaining the sudden boom-bust pattern witnessed in the early 1980s. In this paper we examine the relative roles played by economic funda- mentals and market psychology in explaining U.S. house price dynam- ics using two different boom periods, one in the 1980s and the other one in the early-to-mid-2000s. We begin by considering what proportion of the variation in the house price-rent ratio within metropolitan areas can be explained by fundamentals using a single-period version of the user cost model with static expectations of price growth, as in Himmel- berg, Mayer, and Sinai (2005). -
An Overview of the Housing Finance System in the United States
An Overview of the Housing Finance System in the United States Updated January 18, 2017 Congressional Research Service https://crsreports.congress.gov R42995 An Overview of the Housing Finance System in the United States Summary When making a decision about housing, a household must choose between renting and owning. Multiple factors, such as a household’s financial status and expectations about the future, influence the decision. Few people who decide to purchase a home have the necessary savings or available financial resources to make the purchase on their own. Most need to take out a loan. A loan that uses real estate as collateral is typically referred to as a mortgage. A potential borrower applies for a loan from a lender in what is called the primary market. The lender underwrites, or evaluates, the borrower and decides whether and under what terms to extend a loan. Different types of lenders, including banks, credit unions, and finance companies (institutions that lend money but do not accept deposits), make home loans. The lender requires some additional assurance that, in the event that the borrower does not repay the mortgage as promised, it will be able to sell the home for enough to recoup the amount it is owed. Typically, lenders receive such assurance through a down payment, mortgage insurance, or a combination of the two. Mortgage insurance can be provided privately or through a government guarantee. After a mortgage is made, the borrower sends the required payments to an entity known as a mortgage servicer, which then remits the payments to the mortgage holder (the mortgage holder can be the original lender or, if the mortgage is sold, an investor). -
Conforming Loan Matrix
Conforming Loan Matrix Documentation Standards All loans must meet standard loan documentation and qualification requirements Exceptions Exceptions to guideline requirements will be made on a case by case basis Minimum Loan Amount For loans under $50,000, please contact your AE. Products and terms 30, 25, 20, 15, and 10 Year terms under standard conforming product Custom amortizations available under Retained product only DU Refi Plus- 30, 20, and 15 year terms Fannie Mae Home Ready 30 year Term (retained product) Transaction Type Purchase/Rate Term Refinance Cash Out Refinance Maximum LTV/CLTV Property Type Up to $484,350 Up to $484,350 FRM FRM Owner Occupied 1 Unit/Condo/PUD 97% 80% 2 Unit 85% 75% 3-4 Unit 75% 75% 1 Unit/Condo/PUD 90% 75% Second Home 2 Unit N/A N/A 3-4 Unit N/A N/A 1 Unit/Condo/PUD 85% 75% Investment Property 2 Unit 75% 70% 3-4 Unit 75% 70% DU/LP Eligibility DU Approve or LP approval – AUS approval required No Manual Underwrites Qualifying Ratios Per DU/LP 97 LTV Conforming The 97% LTV purchase requires at least one borrower to be a first-time homebuyer unless using the Home Ready program 97% Rate/Term refinance - FNMA must be the owner of the existing mortgage Home Ready Product https://www.fanniemae.com/content/fact_sheet/homeready-product- Matrix matrix.pdf Fannie Mae Originating https://www.fanniemae.com/singlefamily/originating-underwriting and Underwriting link Fannie Mae Eligibility https://www.fanniemae.com/content/eligibility_information/eligibility- Matrix matrix.pdf Fannie Mae Day 1 https://www.fanniemae.com/singlefamily/day-1-certainty -
Chapter 3. the VA Loan and Guaranty Overview
VA Pamphlet 26-7, Revised Chapter 3: The VA Loan and Guaranty Chapter 3. The VA Loan and Guaranty Overview In this Chapter This chapter contains the following topics. Topic Topic Name See Page 1 Basic Elements of a VA-Guaranteed Loan 3-2 2 Eligible Loan Purposes 3-5 3 Maximum Loan 3-7 4 Maximum Guaranty on VA Loans 3-10 5 Occupancy 3-12 6 Interest Rates 3-16 7 Discount Points 3-17 8 Maturity 3-19 9 Amortization 3-20 10 Eligible Geographic Locations for the Secured Property 3-22 11 What Does a VA Guaranty Mean to the Lender? 3-23 12 Post-Guaranty Issues 3-26 3-1 VA Pamphlet 26-7, Revised Chapter 3: The VA Loan and Guaranty 1. Basic Elements of a VA-Guaranteed Loan Change Date November 8, 2012, Change 21 • This section has been updated to remove a hyperlink and make minor grammatical edits. a. General rules The following table provides general rules and information critical to understanding a VA loan guaranty. Exceptions and detailed explanations have been omitted. Instead, a reference to the section in this handbook that addresses each subject is provided. Subject Explanation Section Maximum Loan VA has no specified dollar amount(s) for the “maximum 3 of this Amount loan.” The maximum loan amount depends upon: chapter • the reasonable value of the property indicated on the Notice of Value (NOV), and • the lenders needs in terms of secondary market requirements. Downpayment No downpayment is required by VA unless the purchase price 3 of this exceeds the reasonable value of the property, or the loan is a chapter Graduated Payment Mortgage (GPM). -
FHFA Clls Faqs
FHFA Conforming Loan Limits FAQs (updated June 2021) https://www.fhfa.gov/CLLs Overview 1. What are the Conforming Loan Limits (CLLs)? The maximum loan amount for mortgages that can be acquired by Fannie Mae or Freddie Mac. Mortgages above this limit are known as jumbo loans. The CLLs are set by the Federal Housing Finance Agency (FHFA) on an annual basis and vary geographically, using guidelines specified in the Housing and Economic Recovery Act of 2008 (HERA) and as modified in subsequent legislation. More information is provided on the FHFA CLLs webpage at https:/www.fhfa.gov/CLLs. 2. When do new CLLs become effective? At the end of each November, FHFA updates the CLLs based on rules set forth in HERA. The CLLs take effect a month later on January 1st. 3. How are CLLs calculated? Loan limit increases reflect the year-over-year percentage change in the FHFA House Price Index® (HPI) for the United States. The formula is based on the third quarter (Q3) and can be written: (current year Q3 FHFA HPI - prior year Q3 FHFA HPI) / (prior year Q3 FHFA HPI) which is converted to percentage terms. For example, the 2021 limits were computed as: Percentage Change = (2020Q3 HPI – 2019Q3 HPI) / 2019Q3 HPI = (276.84033089 – 257.72651365)/257.72651365 = 7.41631777 percent HERA requires that the baseline loan limit be adjusted each year to reflect changes in the national average home price. In October 2015, FHFA published a Final Notice in the Federal Register specifying that limits would be adjusted using the seasonally adjusted, expanded-data (EXP) version of the FHFA House Price Index® (FHFA HPI®). -
MPF® Glossary
MPF® Glossary Unless a different definition is specifically provided, the following words and phrases shall have the meanings specified below when they are used in the Guides. Actual Credit The sum of Loan Level Credit Enhancement amounts for each Mortgage Enhancement Loan and the Pool Level Credit Enhancement for the same Mortgage Loans in the Master Commitment. Actual/Actual A remittance type that requires the servicer to remit to the investor only the actual interest due (if it is collected from borrowers) and the actual principal payments collected from borrowers. Affiliate Any and all individuals, corporations or organizations which control, are controlled by or are under common control with the Person. All Risk Coverage Property insurance covering loss arising from any fortuitous cause except those that are specifically excluded by the policy itself. Applicable Agreement The PFI Agreement entered into by a Member or similar agreement entered into by a non-Member, and any other agreement that creates the relationship between an entity and an MPF Bank, permitting such entity to participate in the MPF Program, either as an Originator and/or as a Servicer. Applicable Laws All federal, state and local laws, ordinances, rules, regulations and orders, and any applicable decree, injunction, judgment, order, formal interpretation, guidance, or ruling issued by a court or governmental entity applicable to the origination, holding, sale or servicing of Mortgages, whether performed as an agent, principal, independent contractor or vendor. Applicable -
C. F. SIRMANS February 2012
C. F. SIRMANS February 2012 Dept.of Risk Mgmt./Insurance, Real Estate & Legal Studies Home Address: 821 Academic Way, PO Box 3261110 3709 Riverton Trail Florida State University Tallahassee, FL 32311 Tallahassee, Florida 32306-1110 Phone: (850) 385-1278 (850) 644-6155 Fax: (850) 644-4077 Date of Birth: July 2, 1949 [email protected] / www.cob.fsu.edu/rmi Married, 6 Children EDUCATION Ph.D., Real Estate and Urban Development, University of Georgia, 1976 M.A., Economics, University of Georgia, 1975 B.S., Economics, Valdosta State University, 1971 EXPERIENCE 2009 - present Professor and The J. Harold and Barbara M. Chastain Eminent Scholar in Real Estate, Florida State University Fall 2008 Visiting Professor, Marriott School of Business, Brigham Young University 2005 - 2008 Board of Trustees Distinguished Professor, University of Connecticut, (emeritus status) 1991 - 2008 Director, Center for Real Estate and Urban Economic Studies and William N. Kinnard, Jr. Professor of Real Estate and Finance, Department of Finance, School of Business, University of Connecticut 2002 - 2004 Interim Dean and Associate Dean, School of Business, University of Connecticut 1998 - 1999 Interim Department Head, Department of Finance, School of Business, University of Connecticut 1983 - 1991 Professor and Louisiana Chair of Real Estate, Department of Finance, Louisiana State University and Director, Real Estate Research Institute, College of Business, Louisiana State University 1982 - 1983 Professor, Department of Real Estate, University of Georgia 1978 - 1982