Investment projects in emerging economies are exposed to several interacting risks at once: construction cost overruns, schedule delays, market volume and price volatility, input-cost inflation and currency depreciation. Conventional practice assesses and mitigates these risks one by one, using qualitative probability–impact matrices and a single deterministic net present value (NPV). This article proposes an integrated risk assessment and mitigation mechanism that links a risk register to a Monte Carlo NPV model, measures exposure with tail-risk indicators (VaR and CVaR), and selects mitigation measures as a portfolio rather than individually. A new indicator, the risk-adjusted mitigation efficiency (RAME), is introduced to rank measures by tail-risk reduction per unit of mitigation cost. The mechanism is tested on a stylised USD 40 million manufacturing project with 20,000 simulation runs. The planned deterministic NPV of USD 48.7 million turns into an expected NPV of only USD −2.7 million with a 58.2% probability of loss once risks are modelled. An integrated portfolio of four contractual and financial measures raises expected NPV to USD 13.8 million, cuts the probability of loss to 14.1% and improves CVaR₅ by USD 26.0 million. This exceeds the sum of the individual effects by 16.7%, which shows that the interactions between mitigation measures matter.
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Mohichehra Sharipovna Boltayeva (2026) studied this question.
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