Google Search in Exchange Rate Models: Hype or Hope?

This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include vario...

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Autores principales: Bodo Herzog, Lana dos Santos
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/0f89b3554b6a482e9f7ebc2d1cf48816
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spelling oai:doaj.org-article:0f89b3554b6a482e9f7ebc2d1cf488162021-11-25T18:08:26ZGoogle Search in Exchange Rate Models: Hype or Hope?10.3390/jrfm141105121911-80741911-8066https://doaj.org/article/0f89b3554b6a482e9f7ebc2d1cf488162021-10-01T00:00:00Zhttps://www.mdpi.com/1911-8074/14/11/512https://doaj.org/toc/1911-8066https://doaj.org/toc/1911-8074This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include various Google search intensity metrics to our panel data. We find that online search improves the overall econometric models and fits. First, four out of ten search variables are robustly significant at one percent and enhance the macroeconomic exchange rate models. Second, country regressions corroborate the panel results, yet the predictive power of search intensity with regard to exchange rates vary by country. Third, we find higher prediction performance for our exchange rate models with search intensity, particularly in regard to the direction of the exchange rate. Overall, our approach reveals a value-added of search intensity in exchange rate models.Bodo HerzogLana dos SantosMDPI AGarticleexchange rateGoogle searchbig dataAIinformation inattentionRisk in industry. Risk managementHD61FinanceHG1-9999ENJournal of Risk and Financial Management, Vol 14, Iss 512, p 512 (2021)
institution DOAJ
collection DOAJ
language EN
topic exchange rate
Google search
big data
AI
information inattention
Risk in industry. Risk management
HD61
Finance
HG1-9999
spellingShingle exchange rate
Google search
big data
AI
information inattention
Risk in industry. Risk management
HD61
Finance
HG1-9999
Bodo Herzog
Lana dos Santos
Google Search in Exchange Rate Models: Hype or Hope?
description This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include various Google search intensity metrics to our panel data. We find that online search improves the overall econometric models and fits. First, four out of ten search variables are robustly significant at one percent and enhance the macroeconomic exchange rate models. Second, country regressions corroborate the panel results, yet the predictive power of search intensity with regard to exchange rates vary by country. Third, we find higher prediction performance for our exchange rate models with search intensity, particularly in regard to the direction of the exchange rate. Overall, our approach reveals a value-added of search intensity in exchange rate models.
format article
author Bodo Herzog
Lana dos Santos
author_facet Bodo Herzog
Lana dos Santos
author_sort Bodo Herzog
title Google Search in Exchange Rate Models: Hype or Hope?
title_short Google Search in Exchange Rate Models: Hype or Hope?
title_full Google Search in Exchange Rate Models: Hype or Hope?
title_fullStr Google Search in Exchange Rate Models: Hype or Hope?
title_full_unstemmed Google Search in Exchange Rate Models: Hype or Hope?
title_sort google search in exchange rate models: hype or hope?
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/0f89b3554b6a482e9f7ebc2d1cf48816
work_keys_str_mv AT bodoherzog googlesearchinexchangeratemodelshypeorhope
AT lanadossantos googlesearchinexchangeratemodelshypeorhope
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