英文标题：
《Empowering cash managers to achieve cost savings by improving predictive
  accuracy》
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作者：
Francisco Salas-Molina, Francisco J. Martin, Juan A.
  Rodr\\\'iguez-Aguilar, Joan Serr\\`a, Josep Ll. Arcos
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最新提交年份：
2016
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英文摘要：
  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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中文摘要：
现金管理关注优化公司的短期资金需求。为此，人们提出了不同的优化策略，将每日现金流预测作为模型的主要输入，以最小化成本。然而，尚未研究此类预测的准确性对现金管理政策的影响。在本文中，我们使用来自纺织行业的两个真实数据集，表明在现金管理模型中使用每日预测时，预测精度与成本节约高度相关。提出了一种新的方法，帮助现金管理者估计提高预测准确性的努力是否会相应地得到成本节约的回报。我们的结果意味着需要分析通过提高预测准确性而产生的潜在成本节约。因此，寻找更好的预测模型是为了改善现金管理。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类：Quantitative Finance        数量金融学
二级分类：Computational Finance        计算金融学
分类描述：Computational methods, including Monte Carlo, PDE, lattice and other numerical methods with applications to financial modeling
计算方法，包括蒙特卡罗，偏微分方程，格子和其他数值方法，并应用于金融建模
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