Monetary policy document analysis for prediction of monetary policy board decision.

Kim, Misuk; Cho, Sungzoon.

Afiliación

Kim M; Department of Data Science, Sejong University, Republic of Korea.
Cho S; Department of Industrial Engineering and Big Data AI Center, Seoul National University, Republic of Korea.

Heliyon ; 9(10): e20696, 2023 Oct.

Article en En | MEDLINE | ID: mdl-37876460

Palabras clave

Data mining; Monetary policy committee's vote result prediction; Monetary policy decision; South Korea government bond; Text mining

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article