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Financial Programming and Policies

Financial Programming and Policies (FPP)

Apply online by July 29, 2025 Deadline extended

Session No.: ST 25.27

Location: Singapore, Singapore

Date: October 27, 2025 - November 7, 2025 (2 weeks)

Delivery Method: In-person Training

Primary Language: English

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    Target Audience

    Officials from ministries of finance, economy, planning and central banks who advise on or help design and implement macroeconomic and financial policies.

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    Qualifications

    Participants are expected to have a degree in economics or equivalent experience and be proficient in the use of spreadsheets. It is strongly recommended that applicants have completed the online Financial Programming and Policies, Part 1: Macroeconomic Accounts and Analysis (FPP.1x) course or the online Financial Programming and Analysis, Part 2: Program Design (FPP.2x) course.

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    Course Description

    This course, presented by the Institute for Capacity Development, explains how to diagnose macroeconomic imbalances and correct them through a coordinated set of adjustment policies. It covers the principal features of the four main macroeconomic sectors (real, fiscal, external, and monetary) and their interlinkages, highlighting both accounting and behavioral relationships and using data from a country case study.

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    Course Objectives

    Upon completion of this course, participants should be able to:

    • Create consistent macroeconomic baseline projections on the assumption that policies do not change, while respecting accounting and behavioral links among economic variables.
    • Analyze the baseline macroeconomic scenario, to understand economic and financial developments, and diagnose macroeconomic imbalances.
    • Identify economic vulnerabilities and risks in the baseline scenario and articulate how policy measures address them.
    • Prepare an adjustment program that reflects the selected policy measures and their macroeconomic impact.
    • Negotiate an economic adjustment program with the respective counterparty in a role-playing simulation.
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