This document provides a general overview of the Certified in Risk Management course that is rapidly approaching. In this CQRM course, we will be covering the detailed concepts of Integrated Risk Management (IRM) techniques, which will include a quantitative Monte Carlo Risk Simulation, stochastic forecasting and predictions, project portfolio selection and optimisation, business intelligence analytics, and strategic real options valuation. This will be a rigorous and detailed course with a lot of hands-on modelling and exercises, and you will leave the course with the capability to run these advanced analytics. During the course, we will also cover several case studies as well as other generic case studies of various multinationals so you can see how these advanced analytics are being used globally
The EURiskConvention is an event organised by the leading companies and institutions worldwide in the management, measurement, analysis and modelling of quantitative information in different business and academic fields. This event has become a key meeting point for professionals, researchers, directors and managers, to learn about the new trends in these topics in the region and share with international experts and local the different approaches, tools and innovations.
On this occasion, the participants will have a unique opportunity to learn about regional and global experiences in quantitative methods and risk management in sectors such as banking, finance, oil and gas, mining, health, defense, government, insurance, infrastructure projects, industry and commerce, among others.
Those who participate in this convention will also have the opportunity to take the CQRM (Certification in Quantitative Risk Management) certification given by Dr. Johnathan Mun, a world authority on the subject, among other globals experts and IIPER Certified Executive Trainers
Standalone software with Excel add-in for analysing and valuing real options, financial options, exotic options and employee stock options. All inputs could be incorporated into custom spreadsheet models, allowing the creation of your own "à la carte" fully customised models, where all the mathematical equations and functions are visible. Consequently, option valuations and results are easier to understand and explain,
allowing users to value financial and real assets, thereby quantifying flexibility and mitigating uncertainty.
Risk Management Labs for Education and Research. Scholars, students, and practitioners can develop their skills through access to industry-leading risk management analytics, software and technologies, managed by global companies.
OSL Risk Management is a software, training, and consulting business, specialising in state-of-the-art decision and risk analysis tools and techniques. We help clients to analyse projects and make decisions so that they can identify, quantify, value, hedge, mitigate, and diversify risk, creating new business opportunities.
Powerful Excel add-in software used for applying simulation, forecasting, statistical analysis, decision trees, econometric analysis and optimisation in your existing spreadsheet models. Risk Simulator was developed specifically to be incredibly easy to use. For instance, running risk simulations is as simple as 1-2-3 (set an input, set an output, and run); and performing forecasting (e.g. auto-econometrics, GARCH models, stochastic processes, time series, multivariate analysis) relies on simple clicks in the software. Users can effectively focus on analysis, reports and numerical results.