<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The transition to electric vehicles would be a great improvement for the population. On the other hand, this transition will make a great pressure for companies in the automotive industry, since they would have to develop such vehicles and make them better than traditional ones. Moreover, the transition period can last a long time. In the meantime, fossil fuel car sale rates are still dominant in the world. In this paper, the stock price prediction is made for two of the world’s largest competitors in automotive industry - Toyota and General Motors. The prediction covers one year, based on historical data of stock price trends using Monte Carlo simulation in two possible cases: the first, with 1,000 outcomes, and the second, with 10,000 outcomes. After price simulation, a comparative analysis of the results obtained for these two companies follows. The results show that the greater the number of outcomes specified in the prediction, the greater the variability of the results compared to the variability of historical data. In other words, the transition of General Motors to the leading position is not impossible.</p>
</abstract>

The transition to electric vehicles would be a great improvement for the population. On the other hand, this transition will make a great pressure for companies in the automotive industry, since they would have to develop such vehicles and make them better than traditional ones. Moreover, the transition period can last a long time. In the meantime, fossil fuel car sale rates are still dominant in the world. In this paper, the stock price prediction is made for two of the world’s largest competitors in automotive industry - Toyota and General Motors. The prediction covers one year, based on historical data of stock price trends using Monte Carlo simulation in two possible cases: the first, with 1,000 outcomes, and the second, with 10,000 outcomes. After price simulation, a comparative analysis of the results obtained for these two companies follows. The results show that the greater the number of outcomes specified in the prediction, the greater the variability of the results compared to the variability of historical data. In other words, the transition of General Motors to the leading position is not impossible.

Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method

Economic Themes

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The transition to electric vehicles would be a great improvement for the population. On the other hand, this transition will make a great pressure for...

Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method

Data publikacji: 26 sty 2024

Zakres stron: 419 - 441

Otrzymano: 16 gru 2022

Przyjęty: 20 wrz 2023

DOI: https://doi.org/10.2478/ethemes-2023-0022

Słowa kluczowe
stock prices, Monte Carlo method, automotive industry

© 2023 Bojana Novićević Čečević et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Stock Price Prediction of the Largest Automotive Competitors Based on the Monte Carlo Method

Data publikacji: 26 sty 2024

Zakres stron: 419 - 441

Otrzymano: 16 gru 2022

Przyjęty: 20 wrz 2023

DOI: https://doi.org/10.2478/ethemes-2023-0022

Słowa kluczowestock prices, Monte Carlo method, automotive industry

© 2023 Bojana Novićević Čečević et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
stock prices, Monte Carlo method, automotive industry