Time Adjusting Sale Prices. Topics To Cover When is it appropriate to time-adjust sale prices? How to develop time adjustments for sale prices.

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Presentation transcript:

Time Adjusting Sale Prices

Topics To Cover When is it appropriate to time-adjust sale prices? How to develop time adjustments for sale prices.

The more rapidly real estate markets are changing, the more important time adjustments become. IAAO An economic recession tends to deflate all real estate prices. American Institute of Real Estate Appraisers

In the Beginning ASR = Current Assessment Sale Price Overall Sale Date Quartiles

Look for a Trend Are assessment levels decreasing over the time period being analyzed? Are assessment levels increasing over the time period being analyzed? Are CODs unusually high?

If it aint broke dont fix it. Charley the plumber

Time adjustments are best performed on a mass basis. IAAO (The appraiser)… may need different adjustments for different property types. IAAO

Not Like This 1% Per Month with no supporting analysis.

Not Like This

Time Adjustment Analysis Re-sale Analysis Paired Sales Analysis Sales Ratio Analysis

Resale Analysis Sale Price 2 - Sale Price 1 = Time Adjustment Factor for Entire Sale Price 1 Period Time Adjustment Factor = Time Adjustment Factor per Time Time Period Unit

A three bedroom Ranch sells twice during the year Sale Date 1 : 1/16/08 Sale Price 1 : $ 250,000 Sale Date 2 : 9/16/08 Sale Price 2 : $ 300, , ,00050,000 =.20 or 20% 250, ,000 Time Period between Sales = 8 Months Time Adjustment Factor =.20 / 8 =.025 or 2.5 % Per Month 2.5 % x 12 Months = Time Adjustment Factor of 30 % Per Year Example:

Paired Sales Analysis This technique is rooted in the Sales Comparison Approach to Value. Similar properties sold at different times are adjusted to account for physical differences, leaving any remaining difference attributed to time. Example: The similar properties are two homes in the same neighborhood built by the same developer. Property 1 :Ranch3 Bedrooms1 Bath$ 285,000 Sold 2/08 Property 2 :Ranch3 Bedrooms2 Baths$ 330,000 Sold 12/08 Assume that appraisal models indicate that the 2nd bath is valued at $15,000. The older sale is then adjusted to the more recent sale. $ 285,000 Property 1 Sale Price (includes only 1 Bath) + $ 15,000 Value difference of 2nd Bath $ 300,000 Adjusted Sale Price of Property 1

Apply Formula: Property 2 Sale Price - Property 1 Adjusted Sale Price Property 1 Adjusted Sale Price 330, ,000 = 30,000 =.10 for 10 months 300,000300, =.01 or 1% per month 10

Multiple Time Adjustment Factors Sometimes, a series of Time Adjustment Factors are needed to accurately reflect Sale/Assessment Ratio Analysis results. These market trends can be seen on a graph plotting time against S/A Ratios. Assume a S/A Ratio Analysis reveals a 2% per month inflation for the first 6 months and a 1% per month inflation for the next 6 months. A formula reflecting this trend would be: TAS = S [1 + (.02)(t1) + (.01)(t2)] Where, t1 = the number of months in the first time period t2 = the number of months in the second time period

Example: A sale of $400,000 occurs 9 months before the assessment date. It would be adjusted as follows: TAS = $400,000 [1 + (.02)(3) + (.01)(6)] = $400,000 [ ] = $400,000 (1.12) = $448,000

Sales Ratio Trend Analysis Normally, Sales Ratios are computed by this formula: Ratio = Assessment / Sale R= A / S But comparing Ratios is not the same as comparing Sale Prices! For Example: Sale 1:A / S = 250,000 / 200,000 = Sale 2:A / S = 250,000 / 300,000 = *Note that the Assessment remains constant which is a critical assumption in using this method. Sale 2 - Sale 1 = Time Adjustment Factor for Entire Period Sale 1 300, ,000 =100,000 =.50 or 50% 200, ,000

But, using the Ratios in the same manner produces different results = = or - 33% Continued:

Sale/Assessment Ratios (S/A) Reciprocal Ratios, called Sale/Assessment Ratios must be computed and used in the formula in order to get the correct results. Computing the S / A Ratio for the example: Sale 1: S / A =200,000/250,000= Sale 2: S / A =300,000/250,000= When these Sale / Assessment Ratios are used, they produce the same Time Adjustment Factor found by comparing Sale Prices =.4000 =.50 or 50%

Time Adjusting Sales to Assessment Date To apply the Time Adjustment Factor to the Sales Database, the following formula is used: TAS = S (1 + rt) Where, "TAS" is the Time Adjusted Sale Price "S" is the Unadjusted or Original Sale Price "r" is the monthly (or quarterly) rate of change "t" is the number or months (or quarters) from the sale date to the assessment date

Example: A $150,000 sale occurring 6 months before the assessment date would be adjusted as follows, using the 2.5 % per month time adjustment factor from above: TAS = $ 150,000 [ 1 + (.025)(6)] = $ 150,000 ( ) = $ 150,000 ( 1.15 ) = $ 172,500

Time Adjusting Sales Using Sales Ratio Analysis When using this method, the Assessment Date Median Ratio is used as the point of reference - whether the sale occurs before or after this date. Mdn S/A Ratio - Mdn S/A Ratio Assmnt Date Qtr (or Monthly) = Time Adj Factor for Entire Period Median S/A Ratio Qtr (or Monthly) Time Adj Factor for Entire Period = Time Adj Factor per Qrt (or Month) Number of Units (Qrts, Months, etc.)

Time Adjusting Sales Using Sales Ratio Analysis Consider the following Table of Median Sales/Assessment Ratios: Sale Jan 1, 2008 S/A Trend Factor Qtr Year Price Assessment Ratio Per Quarter , , , , , , , , , , , , The Median S/A Ratio for the Assessment Date of 1/1/08 is the average of the 4 th Quarter of 2007 and the 1 st Quarter of 2008 or 1.20.

Example: Time Adjustment Factor for the 1st Quarter of 2007: 1.20 – 0.90 =0.30 =.333 / 4 = Per Quarter Time Adjustment Factor for the 2nd Quarter of 2008: = -.05 = -.04 / 2 = -.02 Per Quarter

Time Adjusting Sales Using Sales Ratio Analysis Consider the following Table of Median Sales/Assessment Ratios: Sale Jan 1, 2008 S/A Trend Factor Qtr Year Price Assessment Ratio Per Quarter , , , , , , , , , , , , The Median S/A Ratio for the Assessment Date of 1/1/08 is the average of the 4 th Quarter of 2007 and the 1 st Quarter of 2008 or 1.20.