Fundamentals Models Versus Random Walk: Evidence From an Emerging Economy

ABSTRACT We analyze the predictive power of fundamentals versus random walk models for horizons from 1 to 24 months in an emerging market. Specifically, we investigate what fundamentals models outperform random walk during periods of appreciation and depreciation of the exchange rate. Furthermore, we analyze whether the fundamentals models that beat random walk contain information not considered by market expectations. Based on data from the Brazilian economy, the findings point out that some fundamentals models are useful for forecasting the exchange rate. The predictive power of fundamentals models increases in periods marked by a trend of currency appreciation or depreciation. In particular, the PPP‐type fundamentals models have greater predictive power than the random walk and add information to market expectations for different time horizons and periods of exchange rate appreciation and depreciation.

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Publication Details

Journal
Journal of Forecasting
Published
2025-04-07
DOI
https://doi.org/10.1002/for.3279
Citations
2
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
6.17

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article

Fundamentals Models Versus Random Walk: Evidence From an Emerging Economy

Luciano Vereda, Hélder Ferreira de Mendonça, Letícia Pereira Araújo
2 citations
Journal of Forecasting
Monetary Policy and Economic Impact
6.17
article

Fundamentals Models Versus Random Walk: Evidence From an Emerging Economy

Luciano Vereda, Hélder Ferreira de Mendonça, Letícia Pereira Araújo
article en
2 citations

Abstract

ABSTRACT We analyze the predictive power of fundamentals versus random walk models for horizons from 1 to 24 months in an emerging market. Specifically, we investigate what fundamentals models outperform random walk during periods of appreciation and depreciation of the exchange rate. Furthermore, we analyze whether the fundamentals models that beat random walk contain information not considered by market expectations. Based on data from the Brazilian economy, the findings point out that some fundamentals models are useful for forecasting the exchange rate. The predictive power of fundamentals models increases in periods marked by a trend of currency appreciation or depreciation. In particular, the PPP‐type fundamentals models have greater predictive power than the random walk and add information to market expectations for different time horizons and periods of exchange rate appreciation and depreciation.

Journal of ForecastingVol. 44(6)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (BR), Universidade Federal Fluminense (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 5%
Monetary Policy and Economic Impact
6.17
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