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Do central bank speeches help predict monetary policy?

Vo, Quang LU (2023) DABN01 20231
Department of Economics
Department of Statistics
Abstract
This paper studies the information contained in central bank speeches, focusing on predicting future monetary policy. Departing from previous papers which use mainly dictionary-based methods, we employ the deep transfer learning technique to process the text data. We find that central bank speeches can be used to predict policy rate change over the next three months (with an accuracy of 71.4%). In this paper, we also discuss the importance of each step in our suggested model workflow.
Please use this url to cite or link to this publication:
author
Vo, Quang LU
supervisor
organization
course
DABN01 20231
year
type
H1 - Master's Degree (One Year)
subject
keywords
Riksbank, ECB, DeBERTa, speeches, transfer learning
language
English
id
9118058
date added to LUP
2023-11-21 12:55:03
date last changed
2023-11-21 13:35:53
@misc{9118058,
  abstract     = {{This paper studies the information contained in central bank speeches, focusing on predicting future monetary policy. Departing from previous papers which use mainly dictionary-based methods, we employ the deep transfer learning technique to process the text data. We find that central bank speeches can be used to predict policy rate change over the next three months (with an accuracy of 71.4%). In this paper, we also discuss the importance of each step in our suggested model workflow.}},
  author       = {{Vo, Quang}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Do central bank speeches help predict monetary policy?}},
  year         = {{2023}},
}