We investigate whether political news affect the exchange coupon in Brazil, on a period
ranging from November 24, 2016, until April 16, 2019. Our sample of news was collected
via web scrapping, which we applied on a Brazilian news portal. We used two measures
for the exchange coupon, and we utilized a GARCH model to estimate conditional volatil-
ity, which we filtered with both parametric and non-parametric approach. The results from
the parametric analysis indicate that the exchange coupon was affected by the corruption
scandal of President Temer (May 2017), the announcement of Jair Bolsonaro as candi-
date for the republic’s presidency (July, 2018), the first round of the presidential elections
(October, 2018), and the announcement of a new Pension Reform (January, 2019). The
results from the non-parametric analysis indicate that, besides the events above, the ex-
change coupon was also affected by news related to the Labour Reform (March 2017) and
the impeachment requests of President Temer following the corruption scandal (August
and October 2017).