This paper explores the relationship between the performance of the Czech automotive industry and the performance of the Czech macroeconomy with an objective to fill in some existing gaps in the research on this topic. An overreliance on one sector could have harmful consequences for the competitiveness of the entire economy but sometimes also for the sector itself, particularly in the long run. We test several hypotheses in this context using two frameworks: a vector autoregression model with exogenous drivers and a vector error correction model, both built on quarterly time series data in the period ranging from 2000 to 2017 and validated out-of-sample on the 2018 and 2019 data. The results suggest that the macroeconomy appears to some extent forecastable by the performance of its automotive sector. This is further supported by the fact that the forecasting performance of the selected models looks reasonable. Likewise, the results show that the key variables proxying the performance of the automotive industry tend to converge to a long-run equilibrium or at least exhibit a long-run relationship with and/or vis-à-vis the selected macroeconomic indicators. This finding is in line with the fact that the automotive sector has an important position in the Czech economy also from a longer-term perspective. Yet, we have not found that the macroeconomy would be overreliant on automotives in general terms