Investor Presentaiton

Scenarios with MTRH-SHS assess what aging water services could benefit of setting premiums as proxies of WTA. 0.6% 0.5% 0.4% 0.3% 0.2% Premium/GDP [%] 0.1% 0.0% 30 20 10 0 0.5 Water Yield [I's.km²] 0.40 0.50 0.60 0.70 Loss Ratio [S/S] 0.80 0.90 MHD 0.75 1 Seasonality 1.25 Seasonality = (mean Wet - mean Dry)/meanAnnual SWAT JAG3-972 JAG2-508 JAG1-277 CAC1-294 Optimized premiums and loss ratios under hydrologic scenarios driven by climate projections, under current (100%) water demand. Circles area are proportional do sub-basins' areas. c) a) 1.75 0.16% 1.40 0.12% 1.05 Scenario Final Premium Million USD Loss Ratio Solvency Coeff. 0.70 0.35 0.00 2 0.08% 0.04% 0.00% % of GDP SolvencyCoef = (OptPr - AvgLosses)/AvgLosses 0.6 0.4 0.2 188420 00 80 Sim LossRatio=Average Losses/Premium 90 95 100 105 110 120 Water Demand Scenario (%) 1976-2005 2007-2040 2041-2070 2071-2099 Fig. 6. a) Optimized premiums, b) solvency coefficient, and c) loss ratio for JAG3-972 outlet from SWAT (solid lines) and MHD (dashed lines) outputs. Source: Mohor & Mendiondo (2017), under courtesy permission of Wiley O 10

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