Many of our projects profit from our in-house developed Financial Spectrum Analytics tool and methodology. This approach enables us to provide an optimal understanding of the risks and exposures faced by our clients. It allows us to assess the dynamic impact of these factors, including likelihood of certain financial outcomes (in addition to the most likely outcome) and the effect on overall corporate volatility over time.
Financial Spectrum Analytics is an invaluable tool to assess risks that your firm may face as a result of everyday as well as extraordinary events. For Financial Spectrum Analytics to function, the nature of these events do not have to follow some predictable or standard pattern. That is the strength of the model. Alternative risk assessments such as Value at Risk are most appropriate for financial portfolios and short term analyses, under the assumption that stable correlation coefficients exist. However, our recent experiences of unstable correlation coefficients and sudden spikes and declines in certain commodity prices, interest rates and asset values, highlight the need for a new approach.
Financial Spectrum Analytics is a refreshing look at your exposures and risks. It is not some magic box that will produce standard results. A series of mathematical and stochastic equations have been combined with day-to-day practicality. We incorporate your key input parameters and organizational structure in the analysis. The results from our analytics will be based on your organization's profile. The results will be presented in a way that will assist you in understanding your corporate vulnerabilities and provide you with actionable steps. The objective is to provide transparency to your financial risk profile. The Tern Analytics team will assist you in designing appropriate responses.
Please read further for examples of what Financial Spectrum Analytics can do for your area of responsibility:
You can also download the brochure on Financial Spectrum Analytics. This file requires Acrobat Reader software (which is already installed on most computers).