مطالب مرتبط با کلیدواژه

artificial intelligence algorithm


۱.

Stock price analysis using machine learning method(Non-sensory-parametric backup regression algorithm in linear and nonlinear mode)(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Stock Price accounting variables artificial intelligence algorithm backup vector regression

حوزه‌های تخصصی:
تعداد بازدید : ۱۸۵ تعداد دانلود : ۱۱۹
The most common starting point for investors when buying a stock is to look at the trend of price changes. In recent years, different models have been used to predict stock prices by researchers, and since artificial intelligence techniques, including neural networks, genetic algorithms and fuzzy logic, have achieved successful re-sults in solving complex problems; in this regard, more exploitation Are. In this research, the prediction of stock prices of companies accepted in the Tehran Stock Exchange using artificial intelligence algorithm (non-sensory-parametric support vector regression algorithm in linear and nonlinear mode) has been investigated. The results of the research show that the PINSVR algorithm in nonlinear mode has been able to predict the stock price over the years, rather than linear mode.
۲.

Comparing the Effect of Information Quality on Economic Profit and Accounting Profit with the Artificial Intelligence Approach(مقاله علمی وزارت علوم)

کلیدواژه‌ها: Economic Profit accounting profit Information Quality artificial intelligence algorithm

حوزه‌های تخصصی:
تعداد بازدید : ۱۳۸ تعداد دانلود : ۱۳۰
Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation methods to reality and complete older methods, this issue undoubtedly enters a new field. Economic value added is a performance measure that accurately calculates how a company's value increases or decreases, considering the opportunity cost of shareholders and the time value of money. This research aims to identify the most influential factors for explaining economic and accounting profit using an artificial intelligence approach. There is no such internal research given the subject. The financial data of 127 companies from 2011 to 2019 was used to test the hypotheses. The findings indicate that the variables "profit quality," "profit stability," "profit predictability," "profit smoothing," "profit transparency," "close proximity to cash," "awareness," "conservatism," and "timeliness" have a significant relationship with economic and accounting profit. However, there is no meaningful relationship between economic profit and accounting profit and the variable "Profit relevance."