Multiple-criteria cash-management policies with particular liquidity terms

[EN] 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 mod...

ver descrição completa

Detalhes bibliográficos
Autores: Salas-Molina, Francisco|||0000-0002-1168-7931, Pla Santamaría, David|||0000-0003-1563-3997, Garcia-Bernabeu, Ana|||0000-0003-3181-7745, Mayor-Vitoria, Fernando
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositório:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglês
OAI Identifier:oai:riunet.upv.es:10251/167209
Acesso em linha:https://riunet.upv.es/handle/10251/167209
Access Level:Acceso aberto
Palavra-chave:Cash flow
Forecasting
Optimization
Multiple criteria decision-making
Liquidity terms
ECONOMIA FINANCIERA Y CONTABILIDAD
ECONOMIA APLICADA
Descrição
Resumo:[EN] 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.