用文本挖掘技术分析罗马尼亚国家银行的货币政策决策

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2021-05-19 DOI:10.1109/SACI51354.2021.9465639

Cristian Pop, R. Precup, Liviu Ioan Cadariu-Brailoiu

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摘要

本文利用文本挖掘技术对罗马尼亚国家银行(NBR)的货币政策决策进行分析。该分析强调了NBR董事会辩论的主要议题，即围绕通货膨胀、货币政策参考利率、消费增长和经常账户赤字，以及在2019年的区域经济背景下保持当前货币政策利率不变的必要性，以及2020年初随着冠状病毒爆发的开始发生的巨大变化。

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Analysis of Monetary Policy Decisions of the National Bank of Romania with Text Mining Techniques

This paper uses text mining techniques in order to carry out an analysis of the monetary policy decisions of the National Bank of Romania (NBR). The analysis highlights the main topics of debate of the NBR Board that revolve around inflation, reference rates for monetary policy, rising consumption and the current account deficit and the need to keep current monetary policy rates constant in the regional economic context that characterized the year 2019 and the massive shift in the beginning of 2020 with the start of the coronavirus outbreak.

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2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)

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