Stock Price Analysis and Prediction Method Based on Machine Learning: Taking Apple Inc as an Example
Yixuan Jin
Abstract:Stock forecasts are analyses of Apple's future performance based on financial data, market dynamics and macroeconomic factors. However, there are conflicting arguments that the wider the time horizon of the data, the more accurate the forecast. These forecasts are crucial for investment decisions, risk management and corporate governance. Therefore, in this paper, we will use vector autoregressive modelling to compare nine training sets with different time horizons and evaluate these nine sets of predictions b… Show more
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