- 4 July 2017
- WORKING PAPER SERIES - No. 2085Details
- We propose a Hawkish-Dovish (HD) indicator that measures the degree of ‘hawkishness’ or ‘dovishness’ of the media’s perception of the ECB’s tone at each press conference. We compare two methods to calculate the indicator: semantic orientation and Support Vector Machines text classification. We show that the latter method tends to provide more stable and accurate measurements of perception on a labelled test set. Furthermore, we demonstrate the potential use of this indicator with several applications: we perform a correlation analysis with a set of interest rates, use Latent Dirichlet Allocation to detect the dominant topics in the news articles, and estimate a set of Taylor rules. The ﬁndings provide decisive evidence in favour of using an advanced text mining classiﬁcation model to measure the medias perception and the Taylor rule application conﬁrms that communication plays a signiﬁcant role in enhancing the accuracy when trying to estimate the bank’s reaction function.
- JEL Code
- C02 : Mathematical and Quantitative Methods→General→Mathematical Methods
C63 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Computational Techniques, Simulation Modeling
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies