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Financial Sector Policies

Systemic Macro Financial Risk Analysis (MFRA)

Deadline passed

Session No.: ST 24.01

Location: Singapore, Singapore

Date: January 8-12, 2024 (1 week)

Delivery Method: In-person Training

Primary Language: English

    Target Audience

    Officials from central bank financial stability departments, banking regulatory and supervisory bodies, and ministries of finance.

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    Qualifications

    Participants are expected to have a degree in economics or finance. Experience with financial stability analysis is highly desirable.

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    Course Description

    This course, presented by the Monetary and Capital Markets Department, provides a comprehensive overview of the theories, tools, and techniques necessary for thorough financial stability analysis. Topics include: Systemic risk assessment using a variety of models: their pros and cons, and how they are related; Tools for monitoring systemic risk: risk dashboard; Modeling links and feedback loops between macroeconomic variables and the financial sector, and vulnerabilities and risks of banks, nonbank financial institutions, non-financial corporates, households, and general government; Extracting information from firms’ balance sheets and market data; High level overview of macro-financial risk analysis using stress testing of banks and non-bank financial institutions, corporates, and households; High level overview of networks: contagion and interconnectedness analysis; Overview of climate risk analysis and stress testing; Analysis of country cases when comprehensive public and market data are available; and Analysis that can be carried out in data-constrained countries (illustrated by country case studies and workshops with spreadsheets).

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    Course Objectives

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

    • Explain how to use balance sheet and market data to construct risk indicators to measure and monitor sector and systemic risk.
    • Summarize the tools and data needed for thorough monitoring of systemic risk. 
    • Define data inputs, outputs, and applications of several types of systemic risk models, their pros, and cons, and how they relate to one other. 
    • Build models that relate macro variables to the time series of risk indicators.
    • Analyze risk transmission and feedback between macro variables and risk indicators for banks, nonbank financial institutions, corporates, households, and the sovereign.
    • Understand climate risk transmission channels. Analyze sovereign-bank linkages.
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