- Reconciliation of balance sheet data;
- Confirmation of rates used for Earnings at Risk (EAR) and volatility calculations;
- Parameters and assumptions appropriately checked;
- Key outputs checked for reasonableness; and
- Attribution analysis to interpret movement in measures.
Much time is devoted to these processes to derive a set of point in time numbers - such as: Value at Risk (VaR), Present Value of a Basis Point (PVBP) or EAR at a particular run date. However, how much consideration and effort do you need to give to turning this point in time data into useful business intelligence?