|Título||Empowering cash managers to achieve cost savings by improving predictive accuracy|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Salas-Molina F, Martin F, Rodríguez-Aguilar JA, Serrà J, Arcos JLluis|
|Journal||International Journal of Forecasting|
|Palabras clave||computational finance|
Cash management is concerned with optimizing the short-term funding requirements of a company. To this end, different optimization strategies have been proposed to minimize costs using daily cash flow forecasts as the main input to the models. However, the effect of the accuracy of such forecasts on cash management policies has not been studied. In this article, using two real data sets from the textile industry, we show that predictive accuracy is highly correlated with cost savings when using daily forecasts in cash management models. A new method is proposed to help cash managers estimate if efforts in improving predictive accuracy are proportionally rewarded by cost savings. Our results imply the need for an analysis of potential cost savings derived from improving predictive accuracy. From that, the search for better forecasting models is in place to improve cash management.
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