مطالب

The companies with major customers can supply a considerable source of cash flows by selling a large portion of their products to them. Since the lack of purchase, loss, or bankruptcy of major customers can result in a significant reduction in cash flows in the company, thus the risk is the companies with major customers is higher than other companies. Thus, the present study aimed to investigate the effect of customer concentration on company risks. For this purpose, the effect of customer concentration on three criteria of stock price crash risk, bankruptcy risk, and employment risk was studied. The research sample included 127 companies listed in the Tehran Stock Exchange during 2011-2018. Multivariate regression models with panel data were used by the random-effects method to test the research hypotheses. The research findings indicated that customer concentration has a significant positive effect on stock price crash risk, bankruptcy risk, and employment risk. In other words, stock price crash risk, bankruptcy risk, and employment risk are higher in the companies where the concentration of major customers is higher. 

Investors pay special attention to risk criteria in assessing the status of companies. So companies can help attract investment by disclosing important risks. So, it is expected that risk disclosure through decreasing information asymmetric between managers and investors can reduce uncertainty and lead to an increase in the companies' value. This paper studies the impact of risk disclosure on firm value in listed companies on the Tehran Stock Exchange. We used Miihkinen (2012) model to calculate our risk disclosure index. Firm Value is calculated through Tobin's Q variable. The statistical population of this study is all companies listed on the Tehran Stock Exchange from 2010 to 2016. The final selected companies are 59. We find that corporate risk disclosure has significantly and positively impact on firm value. That is, as the disclosure of risk increases, so does the value of the company.

Considerable researches have been devoted to predicting financial distress by using financial ratios and there is a little knowledge about this issue and how report paragraphs and information may contribute to predict companies’ insolvency. The major purpose of this study is to explore the effects of audit report types, pre-opinion paragraphs, special emphasis paragraphs, and other explanatory paragraphs on financial distress among firms listed on the Tehran Stock Exchange. The research period is from 2011 to 2018 and the sample consists of 107 firms which are selected using a purposeful sampling method. Results of multiple regression analysis shows there is not any significant association between audit report type, the number of pre-opinion paragraphs, special emphasis paragraphs and other explanatory paragraphs with financial distress.

Resource allocation, as the main objective of managerial science, requires analyzing the long- and short-term effects of a policy, although this analysis would be more difficult in dynamic and volatile industries such as financial technology. Moreover, the integration of industries leads to more diverse product categories for a single company and makes it difficult for the implementation of decision making about resource allocation. In this regard, systemic PPM (PPM) models can be applied to balance long- and short-term generated values of the company by adopting policies about resource allocation for different products with respect to risk management concepts. The proposed systemic model should include interrelationships between different products, time relevant, and most importantly the potentials of dynamic analysis of product strategies, which is the main purpose of this research. The research strategy is to conduct a case study on the Iranian financial technology industry, by using systemic PPM modeling. In this research, a dynamic model was used in the payment industry, due to its competitive forces. Thus, system dynamics methodology was the research tool for analyzing data. Further, four cycles of risk management, resource allocation, innovation, and development were identified and then, analyzed in a dynamic approach to evaluating their efficiency for business development. Based on the results, the system dynamics methodology provided great outcomes for this problem. Finally, scenario analysis, focus, deep understandings of the decision-making process with respects to mental models, and stock and flow diagrams were among the most significant findings of this article.