2026-09-30T01:15:18Zhttps://skemman.is/oai/request

oai:skemman.is:1946/239812021-04-14T09:40:46Zcom_1946_6870com_1946_6001col_1946_34328

Háskólinn í Reykjavík Erlendur Ingi Jónsson 1982- Endré, Roy Dahl The problem of maximizing interest earned on cash surplus gained from a firm's operation can involve considerable complexity, especially when there are seasonal and uncertainty factors involved. The network flow model with gains and losses for use in cash management was first presented in 1979 by Golden and Libertore. Their model is deterministic, but in this thesis, stochastic techniques are implemented to the model, as well as introducing different asset classes. Value at risk (VaR) is commonly used in the financial industry to quantify risk in asset portfolios. Cash-flow-at-Risk (CFaR) has been considered the VaR alternative for non-financial firms, by quantifying the potential loss in earnings from operations. In this thesis, the CFaR is implemented in the network flow model to determine the minimum level of available cash for an aquaculture company. For this strategy to be successfully implemented it is necessary to include a rolling planning horizon to achieve the optimum investment strategy. There are a considerable number of risk factors involved in the operation of an aquaculture company. The price of salmon has historically been volatile and difficult to predict. The operation of an aquaculture company involves cycles and periods of low and high margin. In such cases, effective cash management is important. By retaining earning from periods of high earning to meet the potential lower margin periods is a step toward ensuring that the company has enough cash resources to meet its future obligations. 2016-04-18T11:44:32Z 2016-04-18T11:44:32Z 2016-04-18 2015-02-01T15:25:00Z 2014-06 http://hdl.handle.net/1946/23981 en Rekstrarverkfræði Meistaraprófsritgerðir Eignastýring Viðskiptabréf Tækni- og verkfræðideild Engineering management Asset management School of Science and Engineering A model for cash management : an aquaculture case study Thesis Master's