Features of the Application of IAS 21 “Impact of Exchange Rate Changes”

2021 ◽  
pp. 711-718
Author(s):  
Lyudmila A. Kryatova ◽  
Roza N. Nurgalieva ◽  
Renata I. Amirova ◽  
Anna A. Gamilovskaya ◽  
Elena V. Ivanova
GIS Business ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. 1-9 ◽  
Author(s):  
Sriram Mahadevan

The present study has empirically examined the level of foreign exchange exposure and its determinants of CNX 100 companies. For the purpose of study, the relationship between exchange rate changes and stock returns for a sample of 82 companies was determined for the period April 2011-March 2016. The study finds that 49% of the sample companies had significant positive foreign exchange rate exposure and the found that the companies could be exporters or net importers. To explore factors determining foreign exchange rate exposure, variables such as export ratio, import ratio, size of a company, hedging activities were regressed against the exchange exposure and the study found that none of the factors was influencing the exchange rate exposure. The study concludes that the reasons for insignificant influence of the variables could be the natural hedging practices of companies, offsetting of exports and imports and heterogeneous of the sample size. The study offers few directions for future research in this area.


2006 ◽  
Vol 96 (3) ◽  
pp. 552-576 ◽  
Author(s):  
Philippe Bacchetta ◽  
Eric van Wincoop

Empirical evidence shows that most exchange rate volatility at short to medium horizons is related to order flow and not to macroeconomic variables. We introduce symmetric information dispersion about future macroeconomic fundamentals in a dynamic rational expectations model in order to explain these stylized facts. Consistent with the evidence, the model implies that (a) observed fundamentals account for little of exchange rate volatility in the short to medium run, (b) over long horizons, the exchange rate is closely related to observed fundamentals, (c) exchange rate changes are a weak predictor of future fundamentals, and (d) the exchange rate is closely related to order flow.


1994 ◽  
Vol 13 (6) ◽  
pp. 519-528 ◽  
Author(s):  
Laurence S. Copeland ◽  
Peijie Wang

2018 ◽  
Vol 6 (3) ◽  
pp. 68
Author(s):  
Hokuto Ishii

This paper investigates the predictability of exchange rate changes by extracting the factors from the three-, four-, and five-factor model of the relative Nelson–Siegel class. Our empirical analysis shows that the relative spread factors are important for predicting future exchange rate changes, and our extended model improves the model fitting statistically. The regression model based on the three-factor relative Nelson–Siegel model is the superior model of the extended models for three-month-ahead out-of-sample predictions, and the prediction accuracy is statistically significant from the perspective of the Clark and West statistic. For 6- and 12-month-ahead predictions, although the five-factor model is superior to the other models, the prediction accuracy is not statistically significant.


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