Dilan Özcan Yaylalı, İman Askerzade
The application of machine learning methods for risk analysis of investment projects
The evaluation of investment projects is the centerpiece of all investment activities. Given the substantial financial losses that can result from various risk variables and uncertainty, risk analysis of investment projects is particularly important. Most frequently, investment appraisals employ cost-benefit metrics to guide investment decisions. Aiming at the risk analysis of the investment projects, we examined an application and compared several machine learning methods including deep learning techniques, to build a risk assessment model for investment projects and analyze investment risks scientifically and effectively. The suggested deep learning approach, which combines long short-term memory and convolutional networks, yielded the best performance. The study proves that using machine learning techniques for the risk analysis of investment projects enables businesses to detect and manage investment risks.
Keywords: Machine learning, Risk analysis, Investment projects
DOI: https://doi.org/10.54381/icp.2026.1.02
The application of machine learning methods for risk analysis of investment projects
The evaluation of investment projects is the centerpiece of all investment activities. Given the substantial financial losses that can result from various risk variables and uncertainty, risk analysis of investment projects is particularly important. Most frequently, investment appraisals employ cost-benefit metrics to guide investment decisions. Aiming at the risk analysis of the investment projects, we examined an application and compared several machine learning methods including deep learning techniques, to build a risk assessment model for investment projects and analyze investment risks scientifically and effectively. The suggested deep learning approach, which combines long short-term memory and convolutional networks, yielded the best performance. The study proves that using machine learning techniques for the risk analysis of investment projects enables businesses to detect and manage investment risks.
Keywords: Machine learning, Risk analysis, Investment projects
DOI: https://doi.org/10.54381/icp.2026.1.02