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What is Application of Machine Learning Algorithms To Free Cash Flow Forecasting about?

This paper evaluates the performance of nine machine learning algorithms for estimating the growth rate of Free Cash Flows (FCF) against a traditional ARIMA model. The study finds that most ML algorithms outperform the benchmark, with the k-nearest neighbor algorithm achieving the highest prediction accuracy even with limited data. The research aims to improve the accuracy of FCF growth rate predictions to enhance investment decision-making based on intrinsic value assessments.

Author

pollyislixiaoman

Language

EN