## Systemic Macro Financial Risk Analysis (MFRA)

## Source details

**Canonical URL:** [Systemic Macro Financial Risk Analysis (MFRA)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2024/mfract24-06)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ct/2024/mfract24-06/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ct/2024/mfract24-06/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ct/2024/mfract24-06/bundle-manifest.json)

## Bibliographic details
- Session: CT 24.06
- Location: Beijing, China
- Dates: May 27-31, 2024 (1 week)
- Delivery method: In-person Training
- Primary language: English

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### Training program overview
- Session No.: CT 24.06
- Location: Beijing, China
- Date: May 27-31, 2024 (1 week)
- Delivery Method: In-person Training
- Primary Language: English
- Presented by: Monetary and Capital Markets Department

### Target audience and qualifications
- Target Audience:
  - Officials from central bank financial stability departments
  - Banking regulatory and supervisory bodies
  - Ministries of finance
- Qualifications:
  - Participants are expected to have a degree in economics or finance.
  - Experience with financial stability analysis is highly desirable.

### Course description
- Provides a comprehensive overview of the theories, tools, and techniques necessary for the analysis of risks to financial stability.
- Topics include:
  - Development of risk dashboards
  - Identification of vulnerabilities
  - Use of stress tests of banks (including to assess climate-related risks) and non-financial entities
  - Network and contagion analysis
- Methodology:
  - Uses real life examples derived mainly from FSAPs
  - Allows participants to work on case studies

### 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
  - The sovereign
- Understand climate risk transmission channels.
- Analyze sovereign-bank linkages.

---


## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2024/mfract24-06_