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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SGH Warsaw School of Economics, Collegium of Economic Analysis
2017-04-01
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Series: | Econometric Research in Finance |
Online Access: | https://erfin.org/journal/index.php/erfin/article/view/13 |
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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 |
work_keys_str_mv |
AT michałchojnowski isexchangeratemoodyestimatingtheinfluenceofmarketsentimentswithgoogletrends AT piotrdybka isexchangeratemoodyestimatingtheinfluenceofmarketsentimentswithgoogletrends |
_version_ |
1725113198747582464 |