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Constructing Noise Free Economic Policy Uncertainty Index
Journal
International Conference on Information and Knowledge Management, Proceedings
Pages
2915-2919
Date Issued
2021
Author(s)
Abstract
The economic policy uncertainty (EPU) index is one of the important text-based indexes in finance and economics fields. The EPU indexes of more than 26 countries have been constructed to reflect the policy uncertainty on country-level economic environments and serve as an important economic leading indicator. The EPU indexes are calculated based on the number of news articles with some manually-selected keywords related to economic, uncertainty, and policy. We find that the keyword-based EPU indexes contain noise, which will influence their explainability and predictability. In our experimental dataset, over 40% of news articles with the selected keywords are not related to the EPU. Instead of using keywords only, our proposed models take contextual information into account and get good performance on identifying the articles unrelated to EPU. The noise free EPU index performs better than the keyword-based EPU index in both explainability and predictability. ? 2021 ACM.
Subjects
denoise
document filtering
economic index
economic policy uncertainty
Information retrieval
Information retrieval systems
Planning
De-Noise
Document filtering
Economic environment
Economic fields
Economic indexes
Economic policies
Economic policy uncertainty
Keyword-based
News articles
Uncertainty
Economics
Type
conference paper