Polymarket Signals

Bali Real Estate Risk Monitor

LIVE INTEL

Comprehensive risk intelligence for foreign real estate investment in Bali, Indonesia. Bayesian risk modeling with 7-component vulnerability scoring, cascade analysis, and regulatory enforcement probability estimation.

Overall Risk Score

67/100

Critical Risks

2

+ 15 high severity
Risk Trend

Worsening

Conditions deteriorating
Top Risk Category

Legal

Ownership structures, nominee fraud, land title disputes
Total Indicators

27

2C / 15H / 10M / 0L

Bali Risk Intelligence Map

17 nodes · 30 connections · 7 risk zones

Layers

Risk Level

Low
Medium
High
Critical
Road
Water
Tourism
Risk Heatmap
Legal74
6 indicators1 critical4 high3 worsening
Climate62
5 indicators2 high3 worsening
Political65
4 indicators2 high1 worsening
Financial60
4 indicators2 high2 worsening
Regulatory71
4 indicators1 critical3 high2 worsening
Market65
4 indicators2 high3 worsening
Score:
0-34
35-49
50-64
65-79
80-100
Bayesian Regulatory Risk ModelP(enforcement | signals)

Posterior probability of enforcement action given observed signals. Uses Bayes' theorem: P(E|S) = P(S|E)·P(E) / [P(S|E)·P(E) + P(S|¬E)·P(¬E)]

Combined Regulatory Posterior84.7%

Weighted average of all regulatory enforcement posteriors. Higher = more likely enforcement action will affect investments.

RegulationPrior P(E)Likelihood P(S|E)Posterior P(E|S)
Pp 28 202560%85%86.4%
Height Limit75%90%96.4%
Rental Licensing45%70%62.1%
Green Zone80%95%98.7%
Nominee Crackdown55%80%79.6%

Model adapted from network/signals/market_signal.py probability blending. Priors calibrated from Indonesian government enforcement data (BPN, BKPM, OSS). Likelihoods estimated from signal strength (PP 28/2025 implementation, media coverage, recent enforcement actions). Updated 2026-03-10.

Risk Indicators by Category

Click any risk to expand details, sources, and mitigation strategies

Disclaimer: This risk monitor provides general information based on publicly available data, government regulations, and industry reports. Risk scores are computed using Bayesian posterior estimation and 7-component vulnerability modeling adapted from conflict network analysis. It does not constitute legal, financial, or investment advice. Always consult qualified Indonesian property lawyers, certified PPAT notaries, and licensed tax consultants before making any investment decisions. Data sources include Indonesian government agencies (BPN, BKPM, OJK), Transparency International, BNPB, BMKG, World Bank, and Bali provincial government publications.