Transitory and permanent components of exchange rate volatility: Further evidence from causality tests

We present new evidence on the volatility behaviour of major exchange rates, focusing on their permanent (long-run) and transitory (short-run) components. To achieve this, we conduct a causality analysis to explore their statistical relationship and identify their mutual influences. Our findings indicate that shocks to economic fundamentals (which correspond to the permanent volatility component) and market sentiment (associated with the transitory volatility component) reinforce one another, transmitting and intensifying tensions on a global scale, thus creating a complex and tightly interconnected network.

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Publication Details

Journal
Revista de Economía y Finanzas
Published
2025-07-19
DOI
https://doi.org/10.32826/reyf.v3i7.383
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Transitory and permanent components of exchange rate volatility: Further evidence from causality tests

Simón Sosvilla‐Rivero, Amalia Morales‐Zumaquero
Revista de Economía y Finanzas
Complex Systems and Time Series Analysis
article

Transitory and permanent components of exchange rate volatility: Further evidence from causality tests

Simón Sosvilla‐Rivero, Amalia Morales‐Zumaquero
article en

Abstract

We present new evidence on the volatility behaviour of major exchange rates, focusing on their permanent (long-run) and transitory (short-run) components. To achieve this, we conduct a causality analysis to explore their statistical relationship and identify their mutual influences. Our findings indicate that shocks to economic fundamentals (which correspond to the permanent volatility component) and market sentiment (associated with the transitory volatility component) reinforce one another, transmitting and intensifying tensions on a global scale, thus creating a complex and tightly interconnected network.

Revista de Economía y FinanzasVol. 3(7)
Universidad Complutense de Madrid (ES), Universidad de Málaga (ES)
Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 73%
Complex Systems and Time Series Analysis
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