Abstract
We construct an index for measuring negative economic sentiment in Finland by using news titles collected from the Finnish broadcasting company Yle's archive. Our approach uses supervised machine learning text classification for detecting news titles featuring negative economic sentiment, and the monthly aggregated proportional frequencies of those titles are then used for defining the index. We find a negative correlation between our index and the consumer confidence index by Statistics Finland, and more remarkably, our index seems to lead the consumer confidence index, somewhat, by one month. We also show that our index correlates positively with Finnish stock market volatility. In addition, based on a simple VAR model, we examine how certain macro variables respond to changes in economic sentiment and show that our index could prove helpful in assessing the current and near-future state of the Finnish economy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
