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The Monte Carlo Stochastic Method for Price Simulation
MÜLLEROVÁ, Sindy
This bachelor thesis focuses on predicting gold prices using the Monte Carlo model and utilizes data obtained from Yahoo Finance. The data used for the simulation covers the period from 2000 to 2023. Based on this data, values for the next 3 years are simulated. The prediction model provides optimistic, neutral, and pessimistic scenarios of future price development, represented by the upper quartile, median, and lower quartile. The findings show that in the optimistic scenario (upper quartile), gold prices continue to rise, indicating a consistently strong market trend. In contrast, the pessimistic scenario (lower quartile) indicates only a slight decline in prices, suggesting price stability. The neutral scenario (median) shows a slightly rising trend, ensuring that the value of the initial investment is preserved. The analysis carried out in this paper assesses the profitability of gold investment mainly due to the positive and stable price trend and offers valuable insights for investment decision-making.
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