Financial modelling is not an exact science . . .\u00a0 \u201cGarbage in = garbage out\u201d.\u00a0 Nearly all of the hundreds of models I have built can be put into one of four categories<\/p>\n
1 Go \u2013 No Go Models<\/b><\/p>\n
Typically very high level and designed to determine whether a project, no matter how complex is of interest or not<\/p>\n
2 Cases & Sensitivities<\/b><\/p>\n
The fine tuning of a \u201cGo\u201d result from the above but pre- detailed debt finance overlay<\/p>\n
3 Banking Case Models<\/b><\/p>\n
The overlay of detailed and often multi-layered finance options onto a clearly defined operational financial model. These models often use forward interest and exchange curves and are focused on covenant cover and sensitivities around operational variances and their impact on financing<\/p>\n
4 Back-solved Models<\/b><\/p>\n
In some cases, clients just would just like \u201can answer that fits\u201d. There are many tools with which to do this \u2013 contact me for more information.<\/p>\n","protected":false},"excerpt":{"rendered":"
Financial modelling is not an exact science . . .\u00a0 \u201cGarbage in = garbage out\u201d.\u00a0 Nearly all of the hundreds of models I have built can be put into one of four categories 1 Go \u2013 No Go Models Typically very high level and designed to determine whether a project, no matter how complex is<\/p><\/div>\n