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RC116: Quantitative Methods in Risk Management
Training: Security - Governance, Risk & Compliance
Participants receive a practical introduction to quantitative methods of risk measurement. The course covers classical value-at-risk approaches, modern stochastic simulation methods, and risk metrics for an integrated view of risks and opportunities. It also addresses visualizations and application-oriented methods for risk analysis and risk aggregation in industry, trade, and services.
Presence training
Start: 2025-10-20 | 09:30 am
End: 2025-10-21 | 04:30 pm
Location: Nürnberg
Price: 1.790,00 € plus VAT.
Online training
Start: 2025-12-02 | 09:30 am
End: 2025-12-03 | 04:30 pm
Location: Online
Price: 1.790,00 € plus VAT.
Agenda:
- Statistics fundamentals
- Time series analysis
- Alternative distributions and their parameterizations (univariate and multivariate)
- Application of proven "Value-at-Risk" models from the financial sector
- Application of stochastic scenario analyses to planned cash flows, budgets and expected profits (Cash Flow at Risk, EBIT at Risk)
- Bandwidth planning in practice
- Consideration of dependencies between risks
- Risk reporting: readable and meaningful risk metrics
- Support through case studies in Excel and use of add-ins
- Implementation of quantitative risk management in R or Python
- Development of various custom tools for practice in MS Excel and R (own notebook with Excel installation recommended)
Objectives:
Learn in the seminar RC116 Quantitative Methods in Risk Management a practice-proven toolkit for risk quantification in your enterprise. No statistical prior knowledge is required in this seminar.Target audience:
Beginners and Advanced in the topic "Quantitative Methods", Risk Managers, Treasurers, Controllers, Project Leaders and Project Managers, Risk Owners (decentralized risk responsible persons), Auditors, Quality Managers and Executive Management or Board Members.Prerequisites:
No statistical prerequisites are required for this seminar.Description:
The seminar RC116 Quantitative Methods in Risk Management imparts methodological competence in quantitative techniques for risk measurement across all industries (with a focus on manufacturing, trade, and services). Numerous tools and methods are available for risk quantification, which have been continuously improved and refined over recent years. In this seminar, you will learn classical Value-at-Risk approaches as well as modern stochastic simulation methods (including stochastic processes). For an integrated view of risks and opportunities, practical risk metrics and visualizations are presented and discussed. This intensive seminar thus offers an application-oriented conveyance of mathematical/statistical methods for risk analysis and risk aggregation.All participants receive comprehensive documentation in printed and electronic form (USB stick). Additionally, all participants receive the book "Stochastic Scenario Simulation in Corporate Practice – Risk Modeling, Case Studies, Implementation in R" (Romeike/Stallinger, Springer Verlag 2021) as well as a certificate from the Risk Academy.
Guaranteed implementation:
from 1 Attendees
Booking information
Price:
1.790,00 € plus VAT.
(including lunch & drinks)
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