A dynamic balance sheet management model for a Canadian chartered bank

This paper presents a linear programming (LP) model based on Markowitz portfolio theory for solving the balance sheet management problem for the domestic assets and liabilities of a Canadian chartered bank. Given the bank's initial position, its economic forecasts, and the constraints under which it operates, the model will determine the current and expected future balance sheet adjustments which will meet the bank's expected profits goal with the minimum possible risk. By parametrically varying the expected profits goal, the model will generate the set of risk-return efficient decisions. Bankers need examine only the set of efficient decisions to choose their optimal solution.