Financial Modelling for Risk Analysis

A company’s stability and growth are dependent on the ability to accurately assess and manage financial risks in today’s volatile markets and global economic environment. Financial models help organizations simulate scenarios and assess risks, enabling them to develop strategies to mitigate adverse effects, optimize decision-making, and maintain a competitive edge during uncertain times. This course is designed to provide participants with the skills and knowledge required to utilize financial models that address a wide array of risk factors. Participants will explore advanced modelling techniques such as scenario and sensitivity analysis, and stress testing. These methodologies are critical for evaluating potential risk exposures and developing robust financial strategies.

  • Module 1
  • Module 2
  • Module 3
  • Module 4
  • Module 5
  • Course Objectives
  • Target Audience
  • Overview of financial risk types.
  • Key concepts in risk measurement and management.
  • Financial modelling.
  • Core components of a financial model.
  • Financial modelling application in risk analysis.

Stress Testing & Scenario Analysis

Forecasting & Probabilistic Modelling

  • Advanced forecasting techniques.
  • Statistical tools for forecasting future financial conditions.
  • Integrating time-series analysis into financial models.
  • Advanced applications of Excel for time-series forecasting.
  • Validating models through historical data analysis.

Model Validation & Reporting

  • Key strategies for validating financial models.
  • Tools and techniques for thorough model auditing.
  • Dashboards for risk monitoring.
  • Presentations to communicate risk insights.
  • Technologies and their impact on financial modeling

By the end of this course, participants will be able to:

  • Kuala Lumpur
  • Singapore
  • Amsterdam
  • Online
  • Course Fees

This course will take place in Kuala Lumpur on the following dates:

This course will take place in Amsterdam on the following dates:

This course will take place Online the following dates:

13/05/202510/06/202508/07/202505/08/2025
02/09/202530/09/202528/10/202525/11/2025
23/12/202520/01/202617/02/2026

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