Risk ratios for market variability
Our analysis is done based on the simulation of future market developments. Risk ratios are calculated using a statistical procedure from the simulation results. For example, the width of the distribution of simulated cash flow provides insight into the risk of the future developments. This allows, for example, the quantification of risk by variance or confidence intervals. A narrow distribution allows inferences about a stable appraisal while a wide distribution indicates a large amount of uncertainty.
By using Value-at-Risk (VaR), you can determine the potential loss of value in a risk position. In addition, you can also calculate the standard deviation. The relative ratio for the mean value provides information on the stability of the cash flow to be expected, and forms a basis to plan liquidity as well as calculate provisions.
When we talk about scenario risks, we mean the change in an investment‘s value when one or more input parameters are modified. For example, you can examine how the value of real estate changes when interest rates and expected inflation increase simultaneously.
Risk scenarios can be freely defined and selected. Creating a scenario is done either by manually inputting parameters or an automatic configuration based on fixed defaults. The settings can be selected on the portfolio level or individually for properties.
Sensitivities can be calculated for various drivers, and as such, you can view the influence of single input parameters on the overall results.