Investigation of the relationship between number of tweets and USDTRY exchange rate with wavelet coherence and transfer entropy analysis

Investigation of the relationship between number of tweets and USDTRY exchange rate with wavelet coherence and transfer entropy analysis

Abstract Predicting the currency exchange rate is crucial for financial agents, risk managers, and policymakers. Traditional approaches use publicly announced news on macroeconomic and financial variables as predictors of currency exchange. However, the rise of social media may have changed the sour...

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Bibliographic Details
Main Authors: Cengiz Karatas, Sukriye Tuysuz, Kazim Berk Kucuklerli, Veysel Ulusoy
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:Financial Innovation
Subjects:
Tweets
Tweets number
Currency exchange
Wavelet coherence
Transfer entropy
Online Access:https://doi.org/10.1186/s40854-024-00710-7
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https://doi.org/10.1186/s40854-024-00710-7

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