علی لعل بار

This research investigated the development of a stock trading strategy for companies on the New York Stock Exchange (NYSE), a prominent global market. Data was acquired from established libraries and the Yahoo Finance database. The model employed technical analysis indicators and oscillators as input features. Machine learning classification algorithms were used to design trading strategies, and the optimal model was identified based on statistical performance metrics. Accuracy, recall, and F-measure were utilized to evaluate the classification algorithms. Additionally, advanced statistical methods and various software tools were implemented, including Python, Spyder, SPSS, and Excel. The Kruskal-Wallis test was employed to assess the statistical differences between the designed strategies. A sample of 41 actively traded NYSE companies across diverse sectors such as financial services, healthcare, technology, communication services, consumer cyclicals, consumer staples, and energy were chosen using a filter-based approach on June 28th, 2021. The selection criteria included a market capitalization exceeding $200 billion and an average daily trading volume surpassing 1 million shares. Evaluation metrics revealed that the designed random forest trading strategy achieved a good fit with the data and exhibited statistically significant differences from other strategies based on classification learning algorithm.

Social trust is considered as an important type of social capital and in fact an informal institution in any country. The purpose of the present study is to evaluate the impacts of social trust and managers' over self-confidence on the investment efficiency. The general method used in this study had been an applied one in terms of purpose and a correlational and fundamental experimental method type in nature. To achieve this purpose, financial information of 130 companies in the years 2012 to 2021 has been extracted and analysed as the research statistical sample. A linear regression method has been used to test the hypotheses. The research findings showed that social trust has positive, significant positive and negative impacts on the investment efficiency, over-investment and under-investment, respectively. In addition, managers' over self-confidence has positive, significant positive and negative impacts on the investment efficiency, over-investment and under-investment, respectively.