Much of the commentary on area SW carries over to this very brief report - refer to https://www.anest.uk/8whitepaper/pricycles/
Relative price movements are highly cyclical on a period of approx 16 years.
Price convergence has been the theme in London since mid 2014 - it is very consistent, month after month.
In mid 2019 this reversed and the highest priced areas have outperformed since June
The relative returns can be huge - see the final barchart for the divergence phase
Therefore don’t move to the suburbs!, get bunk beds instead
On a national basis there is a case for the far north (very cheapest areas)
These are all ‘ripple effect’ phenomena quantified via factor analysis
And it’s all about \(£/m2\), it’s not about ‘nice places’ or ‘grotty places’ - only \(£/m2\) matters
note that nothing is certain in markets so this is an opinion… albeit backed by quant models
Giles Heywood 2019-12-08
| rank | Sector | Price/m2 | Total | Property average | |||
|---|---|---|---|---|---|---|---|
| Units | Present value (B) | m2 (000) | Price (M) | m2 | |||
| 1 | W8 5 | 22,100 | 1000 | 3.0 | 135 | 2.97 | 130 |
| 2 | W8 4 | 20,700 | 700 | 1.5 | 75 | 2.20 | 110 |
| 3 | W11 3 | 20,500 | 850 | 2.2 | 105 | 2.54 | 120 |
| 4 | W2 4 | 16,500 | 1430 | 2.0 | 123 | 1.42 | 90 |
| 5 | W2 5 | 14,700 | 1440 | 1.7 | 115 | 1.17 | 80 |
| 6 | W11 1 | 12,300 | 800 | 0.7 | 61 | 0.94 | 80 |
| 7 | W10 6 | 11,800 | 980 | 1.1 | 92 | 1.11 | 90 |
| 8 | W12 7 | 9,800 | 1070 | 0.8 | 86 | 0.79 | 80 |
| 9 | W12 0 | 8,100 | 1120 | 0.8 | 93 | 0.68 | 80 |
| 10 | W3 7 | 7,500 | 2250 | 1.3 | 176 | 0.59 | 80 |
| 11 | W3 0 | 7,400 | 950 | 0.6 | 88 | 0.68 | 90 |
| 12 | NW10 7 | 6,700 | 490 | 0.2 | 36 | 0.49 | 70 |
| 13 | NW10 6 | 6,700 | 330 | 0.2 | 25 | 0.52 | 80 |
| 14 | NW10 4 | 6,400 | 780 | 0.4 | 66 | 0.54 | 80 |
| 15 | NW10 8 | 5,700 | 840 | 0.3 | 57 | 0.39 | 70 |
| 16 | NW10 9 | 5,700 | 780 | 0.3 | 58 | 0.42 | 70 |
| 17 | NW10 0 | 5,400 | 840 | 0.3 | 60 | 0.38 | 70 |
| 18 | NW9 8 | 5,300 | 1050 | 0.5 | 97 | 0.49 | 90 |