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Returns predictor · v0 beta

Projected returns by community — baseline trend plus infrastructure shocks

Every Dubai community, projected over 12 / 36 / 60 months. Returns decompose into a clamped baseline drift and per-event infrastructure shocks (Blue Line, DWC Phase 2, Etihad Rail and others) with explicit confidence bands. The closest to a transparent forward-returns model that exists for Dubai property.

Beta · calibration in progress · 1 event in the metro sample. The model decomposes each projection into a mean-reverting baseline drift, per-event infrastructure shocks, and off-plan supply pressure. Shock coefficients are mostly literature defaults from transit-oriented development and airport-spillover research — Dubai-specific calibration is only available for the Route 2020 metro extension (the one historical event whose pre/post window doesn't span a broader-market regime shift like the 2008 crash or 2014 cool-down). The Route 2020 event-level DiD has standard error ±5.5pp, so the metro coefficient itself is single-event precision until Blue Line 2029 doubles the sample. The confidence band on each projection includes a large calibration-uncertainty term to reflect that. Full methodology

90 communities · 9 with infrastructure shocks

#CommunityProjected 36m Band
1Al Warqa+33.0%±11.5pp
2International City Phase 1+31.3%±11.5pp
3Jumeirah Park+30.5%±7.5pp
4Nad Al Shiba Villas+30.5%±7.5pp
5Springs - 1+30.5%±7.5pp
6Springs - 2+30.5%±7.5pp
7Mudon+30.4%±7.5pp
8JABEL ALI HILLS+30.3%±7.5pp
9International City Phase 3+29.7%±11.5pp
10Jumeirah Golf Estates+28.5%±7.5pp
11Down Town Jabal Ali+27.7%±7.5pp
12WARSAN FIRST DEVELOPMENT+27.7%±7.5pp
13Arjan+27.4%±7.5pp
14Dubai South Residential District+27.4%±7.5pp
15Jumeirah Islands+27.4%±7.5pp
16Wasl Gate+27.4%±7.5pp
17Meydan Racecourse Community+27.4%±7.5pp
18Living Legends+27.4%±7.5pp
19Business Park+27.4%±7.5pp
20Sufouh Gardens+27.4%±7.5pp
21Rukan+26.3%±7.5pp
22DAMAC HILLS+25.2%±7.5pp
23The World+25.0%±7.5pp
24Falcon City+24.9%±7.5pp
25Madinat Badr+24.4%±7.5pp
26Dubai Science Park+22.5%±7.5pp
27Dubai Investment Park First+22.4%±7.5pp
28Palm Deira+22.4%±7.5pp
29Al Rashidiya+21.1%±11.5pp
30Palm Jumeirah+21.0%±7.5pp
31Jaddaf Waterfront+20.8%±11.5pp
32Al Barari+20.5%±7.5pp
33Remraam+19.9%±7.5pp
34Dubai Maritime City+19.5%±7.5pp
35The Villa+19.1%±7.5pp
36Jumeirah Village Triangle+19.1%±7.5pp
37Jabal Ali Village+18.8%±7.5pp
38The Greens+18.1%±7.5pp
39City Of Arabia+17.9%±7.5pp
40Jumeirah Garden City+16.8%±7.5pp
41Barsha Heights+16.7%±7.5pp
42LA MER+16.6%±7.5pp
43DAMAC Lagoons+16.6%±7.5pp
44Arabian Ranches II+14.2%±7.5pp
45Dubai Sports City+13.4%±7.5pp
46Dubai Studio City+13.0%±7.5pp
47DMCC-EZ2+11.2%±7.5pp
48Dubai Creek Harbour+11.2%±11.5pp
49800 Villas+11.1%±7.5pp
50TECOM Site A+10.5%±7.5pp
51Dubai World Central+10.1%±7.5pp
52DMCC-EZ1+7.2%±7.5pp
53Arabian Ranches - 1+6.7%±7.5pp
54Meydan One Community+6.6%±7.5pp
55Dubai Water Canal+6.0%±7.5pp
56TOWN SQUARE+5.9%±7.5pp
57Mirdif+5.4%±11.5pp
58Arabian Ranches 3+4.9%±7.5pp
59International Media Production Zone+4.8%±7.5pp
60TILAL AL GHAF+3.9%±7.5pp
61Wasl 1+3.9%±7.5pp
62Al Furjan+3.9%±7.5pp
63Nad Al Sheba Gardens+3.3%±7.5pp
64Mohammed Bin Rashid AL Maktoum District 11+2.7%±7.5pp
65Majan+2.6%±7.5pp
66City Walk+2.3%±7.5pp
67Palm Jabal Ali+2.3%±7.5pp
68Mina Rashid+2.1%±7.5pp
69Dubai Health Care City Phase 2+1.6%±11.5pp
70Jumeirah Village Circle+0.4%±7.5pp
71SOBHA HARTLAND+0.3%±7.5pp
72Discovery Gardens-0.6%±7.5pp
73HADAEQ SHEIKH MOHAMMED BIN RASHID - DISRICT 7-1.1%±7.5pp
74TECOM Site D-1.6%±7.5pp
75Jumeriah Beach Residence - JBR-3.7%±7.5pp
76Liwan1-4.9%±7.5pp
77Dubai Hills Estate-5.9%±7.5pp
78Dubai Investment Park Second-6.2%±7.5pp
79Silicon Oasis-6.5%±11.5pp
80Bluewaters Island-7.3%±7.5pp
81Dubai Marina-7.4%±7.5pp
82DAMAC HILLS 2-7.4%±7.5pp
83Mohammed Bin Rashid AL Maktoum City -District -1 Community-7.4%±7.5pp
84DownTown Dubai-9.3%±7.5pp
85Jumeirah Lakes Towers-9.7%±7.5pp
86Dubai Harbour-10.3%±7.5pp
87The Valley-10.3%±7.5pp
88Business Bay-10.4%±7.5pp
89Dubai Land Residence Complex-10.4%±7.5pp
90Motor City-10.4%±7.5pp

Methodology

Projection formula. For each community, the projected total PSF return over the horizon is the sum of three terms — a mean-reverting baseline drift, per-event infrastructure shocks, and an off-plan supply-pressure drag.

Baseline + mean reversion. Drift is annualised from the community's last 8 quarters of DLD price history, clamped to [-6%, +12%]/yr. The clamped value is then blended toward a 7%/yr Dubai long-run anchor — λ = 0.1 at 12m, 0.3 at 36m, 0.5 at 60m. This stops a community currently in a hot streak from projecting a flat compounded return out to 5 years; markets revert.

Infrastructure shocks. Each event (metro, rail, airport, mega-development) has a peak uplift coefficient, a ramp-up window before opening day, a saturation window after opening, and a catchment radius. The contribution to a given community is the peak uplift × distance decay × time factor × confidence weight. Distance decay is linear from 1.0 at the event centre to 0.0 at the catchment boundary. The time factor is the average value of the shock curve over the horizon window, integrated numerically.

Supply pressure. Each community has an off-plan share (offplan_pct from stats — the % of recent transactions that are off-plan filings). City baseline is 30%. Communities with a share above baseline get a small negative drag scaled by the excess pp and the horizon length, capped at -3pp. The signal: communities with a heavy unbuilt pipeline see absorption pressure when those units complete and hit the secondary market.

Confidence band. Each projection ships with a symmetric ± band that combines a calibration-uncertainty term (large while coefficients are literature defaults) and a per-year horizon-uncertainty term. Longer horizons widen the band; communities with more shocks applied widen it further.

Z-score normalisation. The Z-score column expresses each community's projection as standard deviations above or below the cohort mean for the same horizon, so picks can be ranked relative to peers.

What v0 doesn't model yet. Service-charge trajectory, foreign-buyer demand proxies, and per-building granularity (currently community-level only). Supply pressure uses the offplan_pct proxy rather than per-project unit counts because the project-level data is too sparse on completion dates. v1 calibration plan: run scripts/calibrate/predictor-coefficients.ts against the pre-2020 DLD back-fill to replace literature defaults with Dubai-specific values.

Source files for audit. Math: src/lib/predictor.ts. Coefficients: src/lib/predictor-coefficients.ts. Infrastructure events: src/data/infrastructure-pipeline.json. Every coefficient is auditable; no values are hidden behind a logo.