Demand Determinants- Single Family Housing. Fin 5413 CHAPTER SEVEN. Tax Treatment of Personal Residence (see Exhibit 7-4) Tax Treatment of Second Home

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Fin 5413 CHAPTER SEVEN Slide 1 SINGLE FAMILY HOUSING: PRICING, INVESTMENTS, AND TAX INVESTMENTS Demand Determinants- Single Family Housing Population Growth Household formations Employment Household Income Interest Rates Federal Income Tax Policy Cost of Renting Slide 2 Tax Treatment of Personal Residence (see Exhibit 7-4) Maximum interest deductions Acquisition debt- $1,000,000 Limited to the cost of property plus improvements Home equity debt- $100,000 Points on mortgage loans deductible in year of purchase on primary residence amortized on refinances Real Estate taxes deductible in year paid Capital gain exclusion - $500,000 married couple, every 2 years (principal residence) Slide 3 Tax Treatment of Second Home Interest same as primary Points- amortized over life of loan No capital gain exclusion Vacation homes- special rules if also rented for income Slide 4 Rent versus Purchase Slide 5 Rent versus Purchase Slide 6 Advantages of Renting Easy to move with low cost No funds needed for down payment and closing Credit quality less important No investment risk Maintenance is done for you Disadvantages of Renting Limited in personalizing your residence May be evicted or lease not renewed Must live under someone else's rules May be fewer locational choices Is probably more expensive over the long run Does not build housing equity Less stake in your community

Financial comparison of Rent versus Own Treat like a capital budgeting decision See Exhibit 7-2, 7-3 Need to have money for a down payment, or borrower larger amounts. Often need at least a 3 year ownership horizon to overcome the buying and selling costs. Overall advantage to housing depends on what it will be sold for in the future Slide 7 Valuing Property: Appraisals Slide 8 Market value is the probable price that would be paid in a competitive market Three common approaches Market or sales comparison approach compare to similar properties which sold recently Cost approach cost to reproduce Income approach PV of potential CF s One generally cannot get a mortgage without some sort of appraisal based on the minimum of purchase price and appraised value Sales Comparison Approach Slide 9 Sales Comparison: Example Slide 10 Find similar properties that have sold recently (typically three) Adjustments for: Time, Location View, Design appeal Quality of construction, Age, Condition Size, Features, Functional utility Type and condition of systems, i.e., HVAC Sale or financing concessions Size Garage Indicated Value of Subject Subject $152,000 1800 sqft 2 car garage Comp 1 $150,000 1700 sqft + 8000 3 car garage -5000 $153,000 Comp2 $161,000 00 sqft - 16000 1 car garage +7000 $152,000 Cost Approach Slide 11 Income Approach Slide 12 Value of land plus cost of improvements Deduction for Depreciation Physical depreciation Houses wear out or age (roof wearing out) Functional obsolescence Old kitchen, low ceiling, old wiring, small closets External obsolescence Such as shifting land use Curable vs. incurable New paint, carpets, roof, etc. vs. ceiling height Gross rent multiplier The ratio of house prices to monthly rents Example could rent out for 775 per month. If the Gross rent multiplier is 137, then the indicated value of the house is $106,175 This is like the P/E ratio approach to value a stock Difficult to use for single family residential properties as most houses are not used as rentals

Investing In Distressed Properties Slide 13 Investing In Distressed Properties Slide 14 Foreclosures are at record highs, indicating there may be some real estate bargains On alternative is to buy pre foreclosure Owner with equity may sell at a bargain to prevent foreclosure Lender may be willing to accept a short sale to avoid foreclosure Borrower unable to meet mortgage payments Market value of property below loan balance Delinquent in property taxes IRS liens Civil judgments/bankruptcy/divorce Mechanics and/or construction loan liens Personal debts Estate settlements Investing In Distressed Properties Buyer must be aware of quality of title when investing in distressed properties To profit from investments in distressed properties, the investor must buy low and sell high The gain will be the selling price (less selling expenses), less the cost of improvements, less the financial holding costs, less the price the property was purchased for. Slide 15 Robert Kohl Internship Report UTSA Fall 07 Slide 16 Budget Slide 17 Budget Slide 18 Foundation Doors/windows Siding Roof Water heater Cement cap Closet Drywall Fixtures Kitchen/Bath Paint: Interior/exterior Back porch Flooring A/C Staging Total Approx $25,000

Slide Slide Project Repairs Project Repairs Re-leveled foundation New windows New doors throughout New siding New bath New kitchen Install A/C Drywall work New fixtures Put cement cap on addition Build master bedroom closet Install water heater Pour new back patio New flooring throughout Paint interior/exterior New 30 year roof Slide 21 Slide 22 Timeline Timeline Extension 6 Weeks Before one project is completed another subcontractor has to be lined up Some projects can run at the same time Actually took 7 weeks Due to unforeseeable problems, the timeline had to be extended Extension was 1 week Due to subs taking longer than expected Also due to having to pour concrete cap Slide 23 Slide 24 Unforeseeable Problems Problems with sub contractors During leveling rain prolonged the job During leveling the addition could not be leveled due to no rebar in slab Concrete cap was poured to level the addition Took longer than agreed upon Walking off the job Not showing up on time or at all The quality of work was below average I had to fix a fan that was hung wrong

Slide 25 Slide 26 The Sale Final Product Listed for $99,900 For Sale by Owner Staged home with furniture for quicker sale 2 contracts were received after staging Completed in 7 weeks $25,000 budget was met Total investment approx 70,000 Sold for approx 100,000 6 weeks to sell home From purchase to closing took 17 weeks Slide 27 Slide 28 Finished Product Before and After Slide 29 The American Dream Slide 30 On the Courthouse Steps: A preliminary investigation of mortgage foreclosure auctions in Bexar County, Texas Jose Gutierrez Jennifer Larson Thomas A. Thomson

The American Nightmare? Slide 31 Slide 32 Slide 33 Slide 34 Slide 35 Note: Darker Color = Higher Risk Slide 36

Objectives Slide 37 Bexar County Foreclosures Slide 38 Some reporters questions (who, what, when, where, why) What can the data tell us about the bidding process? First Tuesday of each month from 10 AM to 4 PM On the back steps of the County Courthouse Loud mostly disorganized Sheriff s sale on left mortgage and homeowners associations sales on right. We only consider mortgage sales Administered a survey to those willing to participate, mostly before the auctions began and during the lunch break Respondents age. N=34 (Note: About 2/3 of respondants are male Slide 39 Respondents annual household income. N=34 Slide 40 9% 6 12% 41% 21 & Under 21-39 40-49 5 4 3 2 38% 50-59 60+ 1 <$50,000 $50,000-100,000 $100,000-0,000 $0,000+ Respondents occupation. N= 35 Slide 41 Slide 42 Respondents education (and compared to county average). N=36 5 4 3 2 1 Construction Sales Financial Services Business Ow ner Other 8 7 6 5 4 3 2 1 33% 7 Not a college graduate 39% 21% Associates or Bachelors Degree 28% 9% Graduate Degrees Survey Respondents Bexar County

Slide 43 How many auctions have you attended in the past year? N=33 How many homes are you planning on bidding on today? N=35 Slide 44 4 3 3 2 2 1 1 First Time 1 to 2 3 to 5 6 to 9 4 4 3 3 2 2 1 1 1 2 3 4+ Slide 45 How many homes are you hoping to buy today? N=34 (total homes = 67) Slide 46 How many homes have you purchased at foreclosure? N=33 (total homes = 85+) 5 4 3 3 3 2 2 2 1 1 2 3 4 1 1 0 1 2 3 4 5+ Slide 47 What do you consider on homes you bid on? N=67 Slide 48 In which areas are the homes you plan to bid on? N=53 4 3 3 2 2 1 1 Square Footage Location Amentities Price 4 3 3 2 2 1 1 Northwest Northeast Central/Downtown Southside Other

What are your reasons for purchasing auctioned homes? N=50 Slide 49 Slide 50 If you flip homes, about how much profit do you target? 3 2 2 1 1 Rent as is Sell as is Renovate to Rent Renovate to sell Personal Home 6 5 4 3 2 1 10-3 30-5 50-7 7+ (Note 8 do not plan on using a loan) Data Analysis Slide 51 San Antonio House Price Trends Slide 52 We obtained auction data from RexReports We only use the mortgage part of the data. Must indicate conventional, FNMA, FHA or VA (we don t consider tax sales, home owners associations sales, 2 nd mortgages, or home equity) We have data from 13 auctions About 700 mortgage notices per month About 250 sales per month About 1 are sold to third parties $0,000 $180,000 $160,000 $140,000 $1,000 $100,000 $80,000 $60,000 90-91- 92-93- 94-95- 96-97- 98-99- 00-01- 02-03- 04-05- 06- Descriptive Statistics N=2471 Variable Mean StdDev Min Max Note Amount 98.882 62.616 13.53 760.00 Note Rate 6.379 0.773 5.23 9.17 Term 28.642 4.4 5.00 40.00 Loan Balance 97.828 63.549 2.56 779.12 Equity 8.415 25.984-1.43 4.98 FHA 0.400 0.490 0.00 1.00 VA 0.076 0.265 0.00 1.00 Not Fannie 0.085 0.278 0.00 1.00 Fannie 0.440 0.496 0.00 1.00 Square Feet 1.672 0.697 0.38 6.00 Loan Age 3.639 2.468 0.10 14.44 First Bid 101.004 63.901 1.00 716.41 Winning Bid 102.244 64.146 1.05 716.41 Bid Premium 1.240 6.685 0.00 108.16 Thirdparty 0.144 0.351 0.00 1.00 Slide 53 OLS Regression: Opening Bid Dependent Variable Opening Bid N = 2471 Model A Model B Covariate Estimate t stat Estimate t stat Intercept 13.373 12.47-13.712-1.79 Loan Balance 0.896 97.43 0.788 57.28 Equity 0.1 4.86 FHA 7.805 5.96 VA -7.958-3.49 Not Fannie -5.906-2.63 Square Feet 14.111 11.24 Loan Age -0.295-0.73 Term -0.178-1.26 Note Rate 2.691 2.24 Adj R-squared 0.79 0.81 Slide 54

Slide 55 Logistic Regression: Probability of a Third Party Sale Covariate Estimate p-value Estimate p-value Intercept -2.295 <.0001-2.361 0.0063 Loan Balance -0.009 <.0001 Equity 0.035 <.0001 0.037 <.0001 FHA -0.808 <.0001 VA -0.338 0.1804 Not Fannie -0.176 0.4399 Square Feet 0.217 0.1330 Loan Age 0.142 0.0006 Term 0.044 0.0171 Note Rate -0.159 0.82 Corr_Square 0.10 0.16 OLS Regression of Final Bid for sales going to a third party N = 355 Model C Model D Covariate Estimate t stat Estimate t stat Intercept -5.68-3.48-11. -1.10 Loan Balance 0.99 71.68 0.97 36.70 Equity 0.57.77 0.50 14. FHA -0.31-0.14 VA -4.43-1.42 Not Fannie -2.43-0.95 Square Feet 4.57 2.27 Loan Age 1.02 2.22 Term -0.31-1.53 Note Rate 0.85 0.55 Adj R-squared 0.94 0.95 Slide 56 Note: Average Equity is about $28,0 and average Bid Premium is about $8,600 Summary Slide 57 It appears that lenders opening bid is about the amount they are owed Lenders bid about $8000 higher on FHA loans, $8000 lower on VA loans and 6000 lower on conventional loans compared to FNMA loans Third parties are most likely to bid when there is equity in the house (About 1 of sales) Third party bidders bid an average 31 cents on the dollar for equity (57 cents at the margin) Thank You! Questions? Slide 58