Company Size

The aim of this paper is to analyze the multiscale pricing model with the wavelet analysis approach, Fama-French three-factor model, and nonliquidity in Tehran Stock Exchange. It was also desirable to figure out how stock returns, Fama-French factors, and nonliquidity were related in different intervals. According to the results, various outcomes were obtained at different intervals. Stock returns had significant relationships with  (the ratio of book value to market value) and nonliquidity in the long term. Stock returns had significant relationships with the beta,  , and company size in the midterm, too. There was also a significant relationship between stock returns and the company size in the short term. The proposed methodology suggests that investors should employ dynamic portfolio management strategy and multiscale risk-return evaluation to seize investment opportunities.

The purpose of this research is to investigate the non-linear effect of size and capital structure of companies on profitability in the framework of threshold panel regression in companies listed on Tehran Stock Exchange. For this purpose, 105 companies from different industries were selected as a statistical sample between 2010 and 2021. Hypotheses testing were analyzed under two scenarios: linear multivariate regression and non-linear multivariate regression (threshold panel regression method). Profitability as a dependent variable, capital structure and company size as independent variables and equity, sales growth and company life as control variables were examined. The results of statistical analysis showed that there is no significant relationship between company size and profitability in a non-linear mode. In the case of a threshold panel, the size of the company is known as the threshold variable and the capital structure is known as the dependent variable of the regime. The threshold value was estimated at 15.89, since the model has a threshold limit, so two different regimes were obtained for the capital structure variable. In both regimes, the relationship between capital structure and non-linear profitability is negative and significant. In this way, in the first regime, the capital structure up to the threshold value of the company's size reduces the profitability, and in the second regime, when the capital structure value exceeds the threshold value, the capital structure has less effect on the profitability and increases the profitability. It reduces less than before. According to the obtained results, the companies that are in the second regime have a more favorable capital structure and profitability than the companies in the first regime.

The concept of corporate social responsibility holds that a business must prioritize triple bottom lines, which include monitoring social and environmental issues in addition to its financial performance. This study aims to examine the effect of company size, profitability, leverage, and industry type on social responsibility disclosure. This study uses secondary data in the form of annual reports of manufacturing companies in 2022 listed on the Indonesia Stock Exchange (IDX). The population in this study are manufacturing companies listed on the Indonesian Stock Exchange. The sample used was 137 annual reports obtained through the purposive sampling method. The analysis method used is multiple linear regression analysis using a significance level of 5% (0.05). Based on the results of the study it can be concluded that company size, profitability, and leverage have a significant effect on corporate social responsibility disclosure. While the type of industry has no significant effect on social responsibility disclosure.