Evidence-based research and quantitative analysis for policymakers, regulators, and public-sector organizations.
Quantitative policy analysis for a savings-linked lottery designed to encourage long-term retirement saving while preserving participants' accumulated principal.
Actuarial and public-policy analysis for nationwide disaster-risk transfer, household protection, premium design, claims capacity, and fiscal-risk management.
Policy support for Thailand's transition from voluntary carbon-market mechanisms and ETS pilots toward a transparent, data-ready regulated emissions trading system.
Quantitative policy research for raising Bangkok's productivity while developing connected, specialised, resilient secondary cities as complementary engines of Thailand's high-income transition.
Policy research for public-sector and financial-market tokenisation, including regulatory design, investor protection, market integrity, financial inclusion, and technology risk.
Policy research supporting a stable, resilient, inclusive, and innovative insurance system that operates as national risk-management infrastructure.
Quantitative policy research for inclusive rice insurance, targeted premium support, satellite-assisted loss assessment, rapid claims, and integrated agricultural-risk data.
Applied quantitative research that helps organizations understand risk, improve decisions, and turn data into practical solutions.
Research support for portfolio construction, factor investing, sustainable investment, asset allocation, and data-driven investment processes.
Applied research for systematic trading, derivatives, volatility, tail risk, market microstructure, and practical risk-control frameworks.
Quantitative support for actuarial pricing, insurance risk, predictive modelling, machine learning, and interpretable data-driven solutions.
Quantitative research for agricultural credit, climate and crop risk, rural-finance portfolios, early-warning systems, and resilient lending decisions.
Practical quantitative support for strategy testing, trading costs, portfolio risk, derivatives, and disciplined evidence-based investment decisions.
Advanced quantitative research for systematic strategies, statistical arbitrage, derivatives, portfolio construction, tail-risk control, and model governance.