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Monte Carlo Simulation of Stock Movements – an Indonesian Case

The stock market that plays a critical role in the economy and business has two purposes: to fund a business or as a way for companies to raise funds from investors. Predicting the future stock price cannot rely on a standard pattern based on technical analysis because future predictions are rather tricky and uncertain. This study predicts the stock price movement using a Monte Carlo simulation method resulting in future stock price possibilities based on the historical data of the Bank Central Asia.