Managing Liquidity Risk
This chapter describes the liquidity risk management in retail banking. The chapter elaborates how to determine an optimal cash management strategy to provide for liquidity of a retail bank which maximises profit by using the Miller-Orr Cash Management Model: 1) Stochastic Optimisation is used to construct the Efficient Frontier of optimal cash management policies with maximal profit determining the Daily Target Cash Balance and Daily Upper Cash Limit in order to maintain liquidity; 2) Monte Carlo simulation is used to stochastically calculate and measure the Profit, Variance, Standard Deviation and VAR of the cash management policies; 3) Six Sigma process capability metrics are also stochastically calculated, against the bank's specified target limits, for Profit and VAR of the Efficient Frontier cash management policies; 4) Simulation results are analysed and the optimal cash management strategy is selected from the Efficient Frontier based on the criteria of minimal VAR.