Evidence map›Paper›PMID 38327433›Full record

ArticleHeliyon2024

Exchange rate instabilities during the Russia-Ukraine war: Evidence from V4 countries.

Florin Aliu, Jiří Kučera, Jakub Horák

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Florin AliuSchool of Expertness and Valuation, Institute of Technology and Business, České Budějovice, Czech Republic.
Jiří KučeraSchool of Expertness and Valuation, Institute of Technology and Business, České Budějovice, Czech Republic.
Jakub HorákSchool of Expertness and Valuation, Institute of Technology and Business, České Budějovice, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study investigates the impact of the Russian Ruble on the Czech crown, Polish zloty, and Hungarian forint during the Russia-Ukraine war. The euro is used as a comparative base unit in the four exchange rate parities. The Euro was used since the Czech Republic, Hungary, Poland, and Russia maintain intensive economic relations with the Eurozone. At the same time, the Visegrad (V4) countries are geographically located in the European continent and are bordered by the Eurozone member states. Methods: The series stands in daily frequency and indicate the period from February 1, 2022, to February 1, 2023. To generate the results, the VAR impulse response function, variance decomposition, vector error correction model, and granger causality test were performed. Results: Even though Russia demanded that gas payments be made in Rubles, this fact did not affect the Czech crown, Polish zloty, and Hungarian forint. Due to the fact that gas payments for the V4 countries were agreed in Euros through German contractors. During this period, the strong influence of the Czech crown on the Polish zloty and the Hungarian forint is observed. Implications: From a policy perspective, the results provide indications for the national governments and regulatory bodies on the implications of the Russian ruble during this conflict. In short, our findings document that the instability of currency pairs is not only economic but also geopolitical. Energy dependence on autocratic states not only endangers national security but can set exchange rates in cardiac arrest. Moreover, the geographical proximity to the conflict zone tends to be decisive in the collapse of national currencies.

Indexed as

COVID-19 pandemicsExchange rate paritiesGasRussia-Ukraine warV4 countries

Identifiers

PMID38327433
PMCPMC10848005

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.