Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends

This paper proposes a novel method of exchange rate forecasting. We extend the present value model based on observable fundamentals by including three unobserved fundamentals: credit-market, financial-market, and price-market sentiments. We develop a method of sentiments extraction from Google Trend...

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Bibliographic Details
Main Authors: Michał Chojnowski, Piotr Dybka
Format: Article
Language:English
Published: SGH Warsaw School of Economics, Collegium of Economic Analysis 2017-04-01
Series:Econometric Research in Finance
Online Access:https://erfin.org/journal/index.php/erfin/article/view/13
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spelling doaj-bdd3d5aa9ab7403098e68fe18f3981722020-11-25T01:25:35ZengSGH Warsaw School of Economics, Collegium of Economic Analysis Econometric Research in Finance2451-19352451-23702017-04-012112110.33119/ERFIN.2017.2.1.113Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google TrendsMichał Chojnowski0Piotr Dybka1Warsaw School of EconomicsWarsaw School of EconomicsThis paper proposes a novel method of exchange rate forecasting. We extend the present value model based on observable fundamentals by including three unobserved fundamentals: credit-market, financial-market, and price-market sentiments. We develop a method of sentiments extraction from Google Trends data on searched queries for different markets. Our method is based on evolutionary algorithms of variable selection and principal component analysis (PCA). Our results show that the extended vector autoregressive model (VAR) which includes markets' sentiment, shows better forecasting capabilities than the model based solely on fundamental variables or the random walk model (naïve forecast).https://erfin.org/journal/index.php/erfin/article/view/13
collection DOAJ
language English
format Article
sources DOAJ
author Michał Chojnowski
Piotr Dybka
spellingShingle Michał Chojnowski
Piotr Dybka
Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
Econometric Research in Finance
author_facet Michał Chojnowski
Piotr Dybka
author_sort Michał Chojnowski
title Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
title_short Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
title_full Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
title_fullStr Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
title_full_unstemmed Is Exchange Rate Moody? Estimating the Influence of Market Sentiments With Google Trends
title_sort is exchange rate moody? estimating the influence of market sentiments with google trends
publisher SGH Warsaw School of Economics, Collegium of Economic Analysis
series Econometric Research in Finance
issn 2451-1935
2451-2370
publishDate 2017-04-01
description This paper proposes a novel method of exchange rate forecasting. We extend the present value model based on observable fundamentals by including three unobserved fundamentals: credit-market, financial-market, and price-market sentiments. We develop a method of sentiments extraction from Google Trends data on searched queries for different markets. Our method is based on evolutionary algorithms of variable selection and principal component analysis (PCA). Our results show that the extended vector autoregressive model (VAR) which includes markets' sentiment, shows better forecasting capabilities than the model based solely on fundamental variables or the random walk model (naïve forecast).
url https://erfin.org/journal/index.php/erfin/article/view/13
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AT piotrdybka isexchangeratemoodyestimatingtheinfluenceofmarketsentimentswithgoogletrends
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