Extracting the Federal Reserve's priorities and transparency from FOMC statements using textual data mining tools
| Year of publication: |
2025
|
|---|---|
| Authors: | Faras, Reyadh ; Alshameri, Faleh ; Bash, Ahmad |
| Published in: |
International journal of economics and business research : IJEBR. - Genève [u.a.] : Inderscience Enterprises, ISSN 1756-9869, ZDB-ID 2537709-7. - Vol. 29.2025, 15, p. 23-46
|
| Subject: | clustering | Federal Reserve | FOMC | inflation targeting | information extraction | monetary policy | text mining | Geldpolitik | Monetary policy | Data Mining | Data mining | Inflationssteuerung | Inflation targeting | Zentralbank | Central bank | Politische Kommunikation | Political communication | Bergbau | Mining | Offenmarktpolitik | Open market operations | Text |
-
Banerjee, Shantanu, (2025)
-
FOMC communication and interest rate sensitivity to news
Tang, Jenny, (2017)
-
A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria
Tumala, Mohammed Musa, (2020)
- More ...
-
International evidence of COVID-19 and stock market returns : an event study analysis
Bash, Ahmad, (2020)
-
Alshameri, Faleh, (2025)
-
A research case study : difficulties and recommendations when using a textual data mining tool
Al-Hassan, Abeer A., (2013)
- More ...