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...
Saved in:
Main Authors: | Cengiz Karatas, Sukriye Tuysuz, Kazim Berk Kucuklerli, Veysel Ulusoy |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
|
Series: | Financial Innovation |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40854-024-00710-7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Educational frontiers with ChatGPT: a social network analysis of influential tweets
by: Mehmet Firat, et al.
Published: (2024-08-01) -
La technodiscursivité du vocable « brexit » sur Twitter
by: Perihane Adel
Published: (2018-02-01) -
Using generative adversarial network to improve the accuracy of detecting AI-generated tweets
by: Yang Hui
Published: (2024-11-01) -
Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction
by: Brindha Priyadarshini Jeyaraman, et al.
Published: (2024-10-01) -
Le live-tweet d’audience de procès : forme numérique d’un genre journalistique de tenant lieu
by: Elżbieta Biardzka
Published: (2024-12-01)