Evolutionary models in cash management policies with multiple assets

2014 ◽  
Vol 39 ◽  
pp. 1-7 ◽  
Author(s):  
Marcelo Botelho da Costa Moraes ◽  
Marcelo Seido Nagano
Author(s):  
Francisco Salas-Molina ◽  
David Pla-Santamaria ◽  
Ana Garcia-Bernabeu ◽  
Fernando Mayor-Vitoria

Abstract Eliciting policies for cash management systems with multiple assets is by no means straightforward. Both the particular relationship between alternative assets and time delays from control decisions to availability of cash introduce additional difficulties. Here we propose a cash management model to derive short-term finance policies when considering multiple assets with different expected returns and particular liquidity terms for each alternative asset. In order to deal with the inherent uncertainty about the near future introduced by cash flows, we use forecasts as a key input to the model. We express uncertainty as lack of predictive accuracy and we derive a deterministic equivalent problem that depends on forecasting errors and preferences of cash managers. Since the assessment of the quality of forecasts is recommended, we describe a method to evaluate the impact of predictive accuracy in cash management policies. We illustrate this method through several numerical examples.


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.


2017 ◽  
Vol 57 (3) ◽  
pp. 345-360
Author(s):  
Francisco Salas-Molina ◽  
Juan A. Rodriguez-Aguilar ◽  
David Pla-Santamaria

2019 ◽  
Vol 76 (2) ◽  
pp. 333-346 ◽  
Author(s):  
Francisco Salas-Molina ◽  
Juan A. Rodriguez-Aguilar ◽  
David Pla-Santamaria

2012 ◽  
Vol 2 (1) ◽  
pp. 86-99
Author(s):  
Eugene Okyere-Kwakye ◽  
Twum Amankwaa ◽  
Emmanuel Anane

Rural banking is quiet prevalent in Africa perhaps Ghana. Current research shows that its existence has contributed immensely to the rural community development in the country, hence its description as the financial engine for a countrys growth. Knowing its relevance to the development of a country, and it not being a full fledge bank, there is the need to conduct an empirical study to examine its financial œmodus operandio specifically cash management mechanisms. Therefore the main objective of this paper is to investigate rural banks cash management policies in Ghana using float management techniques, collection techniques, disbursement control and investment of idle cash as its main variables. Questionnaire was used to collect data from one Rural Bank and SPSS was used to analyze the data. The study found that, the collections and disbursements activities of the rural banks do not create any float; that disbursements are always higher than collections; that the difference between collections and disbursements is very significant; that there is no relationship between collections and disbursement. The practical implication of the findings are discussed.


1984 ◽  
Vol 10 (2) ◽  
pp. 1-7 ◽  
Author(s):  
John D. Stowe ◽  
Manchunath Vadakkepat ◽  
Todd Willoughby

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