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HDB Resale Prices:
A DIY Valuation Guide
Record HDB prices
THE MORE WE KNOW, THE BETTER 'Consumers will increasingly want such fine-tuned data
and transparency will become more crucial in the market.' PROPNEX CHIEF EXECUTIVE MOHAMED ISMAIL
HDB Valuation Guide
Problem• HDB prices risen to record levels last year• Rising resale HDB prices worries
Singaporeans• HDB releases complex transacted data on
the website to create a informed market• For the average S’porean, how to value
HDB resale flats?• Our objective is to provide an intuitive model
to accurately estimate HDB prices
HDB Valuation Guide
6 Factors affecting HDB prices
• Floor area (sqm)
• Estate/District (eg. North/ Toa Payoh)
• Floor level (1st-5th floor etc)
• Age
• Distance to MRT
• Type (3 room/4 room/ 5 room etc.)
HDB Valuation Guide
Data collection• Source
– http://www.hdb.gov.sg (median prices)
• Data – 3 months data of flats sold in 4 representative area – North, Toa Payoh– East, Bedok– West, Clementi– Central, Bukit Merah
• Additional parameter – Distance to MRT obtained from streetdirectory.com
HDB Valuation Guide
Pivot Table SummaryCount of Resale Price Flat Type
Region 1 room 2 room 3 room 4 room 5 room Executive
Central 1 5 74 53 30
East 9 105 87 39 16
North 6 77 41 16 5
West 66 23 17 6
Average of Resale Price Flat Type
Region 1 room 2 room 3 room 4 room 5 room Executive
Central 146000 182000 280470 440068 570790
East 179778 226479 312402 426474 488306
North 168333 247330 389856 511063 601560
West 258300 368813 502235 602500
HDB Valuation Guide
Regression validityScatterplot of Fit vs Resale Price
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Resale Price
Fit StatTools Trial Version
For Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
Scatterplot of Residual vs Fit
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Fit
Res
idua
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StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
StatTools Trial VersionFor Evaluation Purposes Only
MultipleR-Square
Adjusted StErr of
Summary R R-Square Estimate
0.9598 0.9213 0.9190 34209
Degrees of Sum of Mean of
F-Ratiop-
ValueANOVA Table Freedom Squares Squares
Explained 19 8.99E+12 4.73E+11 404.0000<
0.0001
Unexplained 656 7.68E+11 1.17E+09
HDB Valuation Guide
Regression Results
HDB Valuation Guide
CoefficientStandard
t-Value p-ValueRegression Table Error
Constant 167660.9165 14686.32878 11.4161 < 0.0001
Floor Area 3569.150214 139.2553075 25.6303 < 0.0001
MRT distance -42984.4778 4190.737523 -10.2570 < 0.0001
Flat Age -2682.913129 208.3776486 -12.8752 < 0.0001
Region = North 32906.6484 14461.9506 2.2754 0.0232
Storey = 06 to 10 14994.00035 3122.436104 4.8020 < 0.0001
Storey = 11 to 15 22862.68969 3736.554967 6.1187 < 0.0001
Storey = 16 to 20 53142.22696 7108.729417 7.4756 < 0.0001
Storey = 21 to 25 75246.82328 8546.140409 8.8048 < 0.0001
Storey = 26 to 30 90021.70507 18220.68458 4.9406 < 0.0001
Storey = 31 to 35 117363.6388 34921.75275 3.3608 0.0008
Flat Type = 3 room -22722.91825 4059.153597 -5.5979 < 0.0001
Flat Type = 5 room 29469.49606 6158.543014 4.7851 < 0.0001
Flat Type = Executive 56082.93753 10104.65847 5.5502 < 0.0001
Interaction(Floor Area,Region = East = 1) -1222.252294 75.87903886 -16.1079 < 0.0001
Interaction(Floor Area,Region = North = 1) -786.7754582 154.9356335 -5.0781 < 0.0001
Interaction(Flat Age,Region = East = 1) 963.9129656 249.8308328 3.8583 0.0001
Interaction(Flat Age,Region = West = 1) -611.7219253 287.7137091 -2.1261 0.0339
Interaction(MRT distance,Region = North = 1) -25328.90773 9023.763653 -2.8069 0.0052
Interaction(MRT distance,Region = West = 1) -36269.57061 9083.679846 -3.9928 < 0.0001
Findings• Top 3 Most Important Factors:
– Floor Area– Flat Age– MRT distance
• Region, Floor level and Type:
- relatively less importance
HDB Valuation Guide
Interpretation Price Change
Increase of 1sqm Increases by $3569
Increase of 1 year Decreases by $2682
Increase of 1km Decreases by $42984
• Tested for interaction between 3 most important factors
• Results show marginal effect due to interaction• Noticeable interpretation:
– For flats in the East and North, larger floor area results in lower prices
– For flats in the West, older flats have bigger price drop
– For flats in the West, those further from MRT have bigger price drops
Interaction of Key Factors
HDB Valuation Guide
DIY Model
HDB Valuation Guide
HDB Price = 167660 + 3569 Floor Area - 42984 MRT – 2682 Flat Age
+ 32906 North + 14994 Story 6to10 + 29468 5-room
Factors Price
167660
Floor area = 100sqm 356900
MRT distance = 1km 42984
Flat age = 10 years 26820
Region = North 32906
Floor Level = 6 to 10 14994
Type = 5 room 29468
Total $532, 124
Limitations
HDB Valuation Guide
• There should be trade-off among several additional factors which might have influenced the results such as hawker centre, market place, hospital, etc
• The model was built using a sample of chosen HDB location
Conclusion
HDB Valuation Guide
• HDB is bought for convenience regardless of the location.
• The higher the HDB, the more expensive it will be