مطالب

According to the study of Fang and his colleagues in 2021, in order to reduce the fall of the stock market, companies pay attention to trading strategies and behavioral financial perspective, which have evaluated the assumptions and goals set in this regard; But there may be a gap in this path that prevents the connection or effect between the above variables, which is discussed in this study. This study aims to determine the effect of quantitative trading strategies on the fall of the stock market according to the perspective of behavioral finance (case study: companies admitted to the Tehran Stock Exchange). In order to analyze the research hypotheses, the statistical population was selected from 2016 to 2021 and for 6 years and included listed companies; the statistical sample was selected by elimination method and 90 companies. The research method used is a descriptive-analytical method and historical research data was collected and classified by referring to the financial statements and financial reports of the companies admitted to the Tehran Stock Exchange. The panel data method was used to analyze the statistical data; And in the analysis section, descriptive statistics, inferential statistics and various relevant tests were performed and data analysis was done using Eviews version 9 software. According to the analysis of the regression model, the findings of the research show that the main hypothesis has been confirmed and it was found that quantitative trading strategies have a negative and significant effect on the fall of the stock market according to the behavioral financial perspective of the companies admitted to the Tehran Stock Exchange. So that in this research, based on the t-statistics, the effectiveness of both special hypotheses (fall-timing and movement-reverse) was determined, and according to the mediating variable of behavioral financial perspective, they can also play a positive and significant role in reducing the fall of the stock market to be.

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.

Dictation is a traditional technique for both teaching and testing overall language ability and listening comprehension. In a dictation, a passage is read aloud by the teacher and examinees write down what they hear. Due to the peculiar form of dictations, psychometric analysis of dictations is challenging. In a dictation, there is no clear boundary between the items and every word in the text is potentially an item. This makes the analysis of dictations with classical and modern test theories rather difficult. In this study, we suggest a procedure to make dictations analyzable with psychometric models. Our strategy entailed using several independent short passages instead of a single long passage. The number of mistakes in each passage was counted and entered into the analysis. Rasch model analysis was then applied to the passage scores (mistakes). Our findings showed that dictations fit the Rasch model very well and it is possible to measure examinees’ ability on an interval scale using dictations.

Assessment of learners affects all processes of their learning. Generally, without assessment, it is very difficult to evaluate the effectiveness of the teaching and learning process. Understanding their weak points and difficulties in their writing would help teachers and administrators focus more on these areas. Therefore, this content analysis study was an attempt to investigate the relative contribution of each writing component to the variation in the overall writing performance of TEFL undergraduate students to determine areas of strength and weakness in their writing. To this end, the writing samples of 73 students who were willing to participate in this study at different universities in Tabriz, Iran, were assessed through an Analytical Scoring Scale. These participants were divided into two groups: group 1, first-year and second-year students, and group 2, third-year and fourth-year students. The results of Stepwise Multiple Linear Regression analysis revealed that the greatest contributions to the variance of the total rating of TEFL undergraduate students' writings were related to the grammar and punctuation components in groups 1 and 2, while the least contributions were related to the content and spelling in group 1, and vocabulary and spelling in group 2. In addition, results indicated that the weaknesses and issues of participants in both groups of this research were mostly related to the grammatical structure and using punctuation marks in paragraphs. Moreover, the positive effects of the analytical scoring scale as well as the implications of the findings were discussed.

A C-Test is a gap-filling test for measuring language competence in the first and second language. C-Tests are usually analyzed with polytomous Rasch models by considering each passage as a super-item or testlet. This strategy helps overcome the local dependence inherent in C-Test gaps. However, there is little research on the best polytomous Rasch model for C-Tests. In this study, the Rating Scale Model (RSM) and the Partial Credit Model (PCM) for analyzing C-Tests were compared. To this end, a C-Test composed of six passages with both RSM and PCM was analyzed. The models were compared in terms of overall fit, individual item fit, dimensionality, test targeting, and reliability. Findings showed that, although the PCM has a better overall fit compared to the RSM, both models produce similar test statistics. In light of the findings of the study, the choice of the best Rasch model for C-Tests will be discussed.

This paper continues applying the notion of the “Luciferian Existential” as a way of accounting for the extreme violence humans seem to be willing to perpetrate both in nuclear war and in ignoring climate change. We begin by letting humankind and Lucifer mutually reflect what initially seems to be their distinguishing attributes. This is done as a speculative attempt to shed light on the seemingly impossible sin or crime of the greatest of all creatures in relation to God and, on the side of human beings, the unimaginable horror of the actualization of the preparation for nuclear war and continued ignoring of climate change. The hope is that we may illuminate human experience as it underwrites both horrors and how possibly human experience may illuminate the mythic-theological figure of Lucifer. Although we feature human kind’s essential being out of balance, its dodging of its mortality, and its ontological restlessness, culminating in blinding “Luciferian” rage as a way of understanding the human propensity to extreme violence, it is clear that neither the build-up of nuclear armaments nor ignoring climate change seem to be rooted in ontological restlessness or sort of blindness caused by suppression of death, or its capacity for rage or even jealousy, but in something else. Antiquity singled out pride or inordinate self-love as the perennial culprit. There is doubtless inordinate self-love in play here too, but here we suggest that it is also [inseparably the dulling of a sense of what is of ultimate importance, i.e., there is a loss of interest in what used to be called wisdom.