
The Causal Impact of the Rapid Czech Interest Rate Hike on the Czech Exchange Rate Assessed by the Bayesian Structural Time Series Model
Author(s) -
Ondrej Bednar
Publication year - 2021
Publication title -
international journal of economic sciences
Language(s) - English
Resource type - Journals
ISSN - 1804-9796
DOI - 10.52950/es.2021.10.2.001
Subject(s) - czech , exchange rate , interest rate , econometrics , benchmark (surveying) , economics , inflation (cosmology) , series (stratigraphy) , bayesian probability , bayesian vector autoregression , monetary policy , statistics , macroeconomics , mathematics , paleontology , philosophy , linguistics , physics , geodesy , biology , theoretical physics , geography
I have employed the Bayesian Structural Time Series model to assess the recent interest rate hike by the Czech Central Bank and its causal impact on the Koruna exchange rate. By forecasting exchange rate time series in the absence of the intervention we can subtract the observed values from the prediction and estimate the causal effect. The results show that the impact was little and time limited in one model specification and none in the second version. It implies that the Czech Central Bank possesses the ability to diverge significantly from the Eurozone benchmark interest rate at least in the short term. It also shows that the interest rate hike will not be able to curb global inflation forces on the domestic price level.