Course overview
Global macroeconomic conditions shape borrowing costs, exchange rates, demand, commodity prices, public finances and investment decisions. Finance, strategy and risk professionals must turn large volumes of economic data into defensible assumptions for budgets, forecasts, pricing and risk reports. The challenge is not merely following headlines; it is distinguishing cyclical movements from structural change, identifying transmission channels and judging which indicators matter for a particular country, market or balance sheet.
This course examines the forces driving global growth, inflation, monetary policy, fiscal policy, trade, capital flows, exchange rates and sovereign debt. Participants learn to interpret national accounts, central bank decisions, balance-of-payments data and leading indicators. They use established macroeconomic models, including the IS-LM framework, Mundell-Fleming model, Phillips curve, Taylor rule and debt sustainability analysis, to assess plausible economic scenarios and their financial consequences.
Teaching combines concise instructor briefings with data interpretation, structured case work, group analysis and scenario simulations. Cases draw on issues relevant to banks, multinational firms, public institutions and development organisations, including inflation shocks, currency depreciation, debt stress, commodity-price volatility and trade restrictions. Participants build a reusable macroeconomic country-risk and scenario-planning pack containing indicator dashboards, transmission maps, assumptions and response actions.
The course is suited to professionals who use economic conditions in financial planning, investment analysis, risk management, policy work, treasury, procurement or corporate strategy. It focuses on practical interpretation and decision support rather than advanced econometric estimation.