Computational Efficiency of Latin Hypercube Sampling in Financial Risk Simulation: A Comparative Study

Abstract

This study examines the financial risks of a condominium project in Long Xuyen, Vietnam, a promising yet uncertain real estate market. We compare the efficacy of Monte Carlo and Latin Hypercube Sampling in assessing the impact of sales strategies on financial performance, utilizing metrics such as Net Present Value (NPV) and Internal Rate of Return (IRR). Sensitivity analysis identifies key profitability drivers, focusing on initial capital and loan interest rates. The findings highlight Latin Hypercube Sampling’s superior computational efficiency and stability, emphasizing the role of sales strategies in ensuring liquidity and optimizing financial outcomes. Practical recommendations include increasing contingency costs and adopting the Lotus certification building standard to empower investors in risk management and sustainable development. This research offers substantial theoretical and practical contributions, enriching financial risk analysis and de-livering value to Vietnam’s real estate sector.