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Quantitative  Comps
Current Model When two Realtors try to acquire a listing or support their offer, both their offers are technically accurate.
Traditional Model The properties are compared by average, with price fluctuation created from qualitative comparison and interpretation of amenities. Error is consistently  large  and  unchecked .
Price fluctuation created from qualitative comparison and interpretation of amenities: Error is consistently  large  and  unchecked .
Supporting Information If a Realtor presents comps with analysis that keeps error  in check, and as a by-product represents the surrounding  neighborhood, the competing  realtor cannot justify the refuting comps.
New Comprehensive Model Quantitative Comps provides a  Market Price  based on a survey of properties  that  represents the entire neighborhood  in relation to the property,  keeps error in check, and additionally  provides trending data  to show market forces that may affect demand for that property.
Models Compared ,[object Object],[object Object],[object Object]
A Stronger Price is Giving Measured Price In Depth Trending Number of Data Points Probability of Correct Price
Quantitative Comps How it Works
 
Report Format ,[object Object],[object Object],[object Object]
Measured Price = NOT ESTIMATED Number of Data Points = 40 vs 4 In Depth Trending = Calibrator can be used for other properties Correlation Coefficient = Strong Correlation  Yielding a Correct Price
Choosing the Data
This is the dataset that goes into the  preliminary analysis
Trending the Slope,  Trend Result 1
Following the Money, Trend Result 2 Market Demand for Subdivision  6.88E-05 Slope 2.67E+00 Intercept 11/8/2010 Date 40490 Date Conversion $286,711 Most Popular Price in Micro-Market, Consumer Demand
“ I can now see in numbers what I knew in my gut…” An accurate number does not mean a quick and easy sale.
The number one killer to pricing is Consumer Demand.  The larger the divergence, the more emotion will play into the pricing of a property.
[object Object],This represents: While this represents:
Quantitative  Comps Giving  Realtors  the data they  need  to help build  the best price .

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Hpm Present Md

  • 2. Current Model When two Realtors try to acquire a listing or support their offer, both their offers are technically accurate.
  • 3. Traditional Model The properties are compared by average, with price fluctuation created from qualitative comparison and interpretation of amenities. Error is consistently large and unchecked .
  • 4. Price fluctuation created from qualitative comparison and interpretation of amenities: Error is consistently large and unchecked .
  • 5. Supporting Information If a Realtor presents comps with analysis that keeps error in check, and as a by-product represents the surrounding neighborhood, the competing realtor cannot justify the refuting comps.
  • 6. New Comprehensive Model Quantitative Comps provides a Market Price based on a survey of properties that represents the entire neighborhood in relation to the property, keeps error in check, and additionally provides trending data to show market forces that may affect demand for that property.
  • 7.
  • 8. A Stronger Price is Giving Measured Price In Depth Trending Number of Data Points Probability of Correct Price
  • 10.  
  • 11.
  • 12. Measured Price = NOT ESTIMATED Number of Data Points = 40 vs 4 In Depth Trending = Calibrator can be used for other properties Correlation Coefficient = Strong Correlation Yielding a Correct Price
  • 14. This is the dataset that goes into the preliminary analysis
  • 15. Trending the Slope, Trend Result 1
  • 16. Following the Money, Trend Result 2 Market Demand for Subdivision 6.88E-05 Slope 2.67E+00 Intercept 11/8/2010 Date 40490 Date Conversion $286,711 Most Popular Price in Micro-Market, Consumer Demand
  • 17. “ I can now see in numbers what I knew in my gut…” An accurate number does not mean a quick and easy sale.
  • 18. The number one killer to pricing is Consumer Demand. The larger the divergence, the more emotion will play into the pricing of a property.
  • 19.
  • 20. Quantitative Comps Giving Realtors the data they need to help build the best price .