In recent years, the stock prices of technology companies such as Tesla have been strongly influenced by both macroeconomic factors and corporate innovation. The aim of this thesis was to assess which of the two factors—inflation or environmental trends—had a greater impact on the development of Tesla's stock price and to determine their influence during the period 2020–2025. Using quantitative methods—specifically linear regression and the Granger causality test—the study examined the relationships between these variables. The results showed that inflation had a statistically significant negative impact on Tesla’s stock price (β = -45.12; p < 0.05), while the launch of new vehicle models, particularly the Cybertruck in 2023, had a positive influence (up to +18%). Multiple regression analysis demonstrated that innovation-related factors had a stronger effect on stock price than macroeconomic ones, with higher regression coefficients for model releases (β = 62.30 vs. β = -45.12). This research contributes to the understanding of how innovation and economic conditions shape stock market behavior, which may be valuable for investors, analysts, and academics. The main limitations include the focus on only two factors and a relatively short five-year period. Future research could benefit from a broader set of variables and a longer time frame.
Comparison of factors affecting Tesla share price
Volume: 1/2025
Issue: 1
Author: Tereza Pexová, Tomáš Řezníček
Keywords: Tesla, stock price, inflation, innovation, regression analysis, Granger causality, electric vehicles.