Climate Risk Modelling Made Practical for Macroeconomic Decision Making

See how scenario modeling helps policymakers plan ahead, test resilience strategies, and balance stability with growth.

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How can central banks, ministries of finance and financial institutions prepare for climate-driven shocks? In this session, we simulate a severe climate disaster(such as a drought or flood) and examine its impact on GDP, inflation, and debt. Using the IMF’s DIGNAD model developed in MATLAB, we compare three policy responses: no action, adaptation investment, and concessional financing. See how scenario modeling helps policymakers plan ahead, test resilience strategies, and balance stability with growth.

What to expect:

  • Learn how macroeconomic models can inform climate resilience strategies.
  • Understand how climate shocks ripple through GDP, inflation, and public debt under three scenarios.
  • Understand how tools like MATLAB can assist you in your macroeconomic modelling.
  • Q&A with a technical expert

Who should attend:

  • Economic Researchers and Directors
  • Climate Economic Researcher
  • Central Banks Risk and Sustainability Officers
  • Economic/Fiscal Policy Directors General
  • Macroeconomic Modelling & Forecasting Units
  • Climate Finance & Green Transition Teams
  • Economists and Climate & Resilience Advisors
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