Zúčtování jako metoda řízení kurzového rizika v logistice

This bachelor thesis focuses on netting as a tool for exchange rate risk management in logistics. The aim of the thesis is to assess the effectiveness of clearing for exchange rate risk management in international logistics. To achieve the objective, a quantitative comparative analysis based on simulation of data generated by artificial intelligence is used. The model includes three settlement frequencies: monthly, quarterly and annual. Settlement was carried out through a central entity and compared with a scenario where individual entities settled payments independently, i.e. without the use of netting. The results show that the multilateral system led to a reduction in the number of transactions and currency conversions required. This resulted in a reduction in the currency exposure of participants and simplified the management of exchange rate risk. At the same time, transaction costs have fallen, with the costs of setting up and operating the system proving not to exceed the initial costs, especially under a quarterly or annual regime. The paper also discusses the limitations of the data and methodology used and suggests several avenues for future research, including the combination of netting with external exchange rate hedging instruments.