Application of Factor Sensitivity Analysis Using Random Forest Model in Investment Decisions—Taking the Semiconductor Sector for Example
Year: 2024
Type: article
Abstract: The semiconductor industry is the key field of the country’s scientific and technological innovation and industrial transformation and upgrading. Sensitivity analysis by random forest model can reflect the influence of input variables on the output response. Through sensitivity analysis, 32 financial factors will be considered and the weight coefficients affecting investors' investment decisions in the semiconductor industry will be determined and ranked using the random forest model. The research results show that mean deviation, Research & Development expense and other factors play a high weight in the investment decision of semiconductor companies. Based on the above research, it is effectively judge the profitability of all listed companies in the semiconductor industry according to the factors in the secondary factor pool. The application of the Random Forest model in the semiconductor sector provides valuable insights into key factors influencing investment returns.
Author: Wei Jiang
Institution: Zhejiang Wanli University
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405592298