EconPapers    
Economics at your fingertips  
 

Risk-sensitive control of cash management systems

Francisco Salas-Molina

Operational Research, 2020, vol. 20, issue 2, No 27, 1159-1176

Abstract: Abstract Firms manage cash for operational, precautionary and speculative purposes. Stat-of-the-art cash management models usually focus on cost minimization by means of a set of controlling bounds. In this paper, we propose a multiobjective model to control cash management systems with multiple accounts characterized by generalized cash flow processes. In addition, we replace the customary use of bounds with cash balance reference trajectories. The model considers two objectives such as cost minimization, measured by the sum of transaction and holding costs, and risk control, measured by the sum of deviations from a given cash balance reference. We also present theoretical results on the stability of the model for deterministic, predictable and purely random cash flow processes. By means of numerical examples, we analyze the robustness of different risk-sensitive models to mean–variance misspecifications. The results show that tuning a parameter of our model can be of help to find more robust cash management policies. Finally, we present a case study showing how our risk-sensitive model can be used to adjust policies according to risk preferences.

Keywords: Finance; Multiobjective decision-making; Stability; Robustness; 90B50; 90C29 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-017-0371-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:20:y:2020:i:2:d:10.1007_s12351-017-0371-0

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-017-0371-0

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-31
Handle: RePEc:spr:operea:v:20:y:2020:i:2:d:10.1007_s12351-017-0371-0