Investigating the Predictability of Starting Point and Ending Short-Term Trend of Stock Price Using the Bayesian Likelihood Network
The main objective of this research is to investigate the predictability of the starting points (floor) and the end (roof) of the short-term stock price trend using the Naibouz model for providing a decision support system. In this research, two variables including calendar and technical variables for modeling were used. The results of this study showed that the model used to identify and predict the end points (roof) in the stock price chart has a better performance than the other, and also the accuracy of the model used in the thirty of the industry survey has discrepancy differences. This is a generalization of the results of this research and the use of the Naibouz model to predict the points in the various industries. We can confidently comment on the turbulence behavior of the starting and ending points in the stock price chart, but we need to pay careful attention to probable behavior.
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.