Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP

Abstract

This study aims to determine the factors affecting the exchange rate risk of companies. In this context, firstly, articles in the ScienceDirect database that contain exchange rate risk in their titles, abstracts, and keywords are provided. Single, double, and triple words were identified in 152 different studies that were published after 2018, which met the relevant criteria. As a result of the analysis of these words, 4 different criteria that could affect the exchange rate risk were determined. The relevant criteria were then weighted with fuzzy AHP. The findings indicate that the macroeconomic performance of countries is the most important determinant of exchange rate risk. In addition, wrong risk management practices of companies play also an important role for this risk. Thus, it is recommended that the government should design necessary regulations for the companies not to take too much currency exchange risk.