جستجوی مقالات مرتبط با کلیدواژه "سقوط قیمت سهام" در نشریات گروه "مالی"

The purpose of this article is to investigate the impact of financial distress risk on the fall in the stock prices of companies listed on the Tehran Stock Exchange. In this research, statistical data of 195 companies admitted to the Tehran Stock Exchange during the years 2015-2019 have been used, and multiple regression using the panel data method has been used to analyze the data. To measure the variable of financial distress risk, Merton's distance to default index and to measure the fall of stock prices, four methods of risk period of stock price fall, negative skewness of stock returns, maximum sigma and low-to-high volatility have been used, as well as asset return ratio variables. leverage ratio, ratio of market value to book value and company size have been used as control variables. The results of the research show that there is a positive and significant relationship between financial distress risk and falling stock prices.

The stock price crash (SPC) is associated with profitability as the most important goal of investing. An increase in the phenomenon of SPC has raised the pessimism of investors in investing in the stock market, and this can ultimately lead to the withdrawal of resources from the stock market. The SPC can be a big, negative, sudden and unusual change in stock returns that occurs in the absence of an important economic event. The purpose of this study is to review and provide an on-line SPC detection model that is consistent with the definitions and theories. For this purpose, 49559 monthly specific returns of 299 companies listed on the Tehran Stock Exchange (TSE) from July 1992 to April 2018 were investigated. As a result, an on-line model for SPC detection was presented, based on Likelihood Ration (LR) and consistent with the agency theory. In this model, the Local Generalized Likelihood Ratio (LGLR) was used for detection of abrupt changes in the trend of specific returns. The results of this study showed that the proposed model is capable of SPC detection.

In the accounting culture, disclosure is a generic term and is classified as one of the accounting principles that covers all the important financial processes and also affects all aspects of finance. This study attempts to investigate the effect of disclosure policies of banks' accounting information on the information content of stock prices and the risk of stock price crash Iran. Following designing the information disclosure valuation indexes, the transaction information was collected from the Stock Exchange in the period of 2013-2017. The statistical sample consists of 17 banks selected by systematic elimination method resulting in totally 85 year-banks. In this research, linear regression and correlation analysis are used to investigate the hypotheses. EViews software has been used to analyze the data and test the hypotheses. What can be said in summing-up and concluding the general test of hypotheses is that if a bank has a disclosure policy of accounting information, its stocks simultaneously will have a higher return stock and lower risk of collapse. The results obtained in this study, to some extent, are consistent with the documentation referred in the theoretical framework of financial research and literature.

Investors are always concerned about protecting their investment and the stock price crash risk threatens this investment. The stock price crash risk, although related to the market, can be due to the type of business strategy of the company that managers of the company to compete with competitors So that they can increase their rewards by increasing profits, The stock price crash risk is a vital element in the return on equity for investors, therefore, the present research "Evaluating the impact of Defensive and Prospector strategies of business on stock price crash" has tried to investigate business strategies on falling stock prices in companies listed to Tehran Stock Exchange. The present research is based on the purpose of applied research and on the other hand, in terms of the nature and method of research, is a descriptive (correlation type). The statistical population of this research is all companies accepted in Tehran Stock Exchange. In this research, systematic elimination method was used for sampling. Finally, 113 companies were selected and a panel regression analysis was used to analyze the data. The results indicate that business defensive strategies will reduce the stock price crash risk, but prospective strategies will increase the stock price crash risk.

Short-term debt subjects managers to frequent monitoring, thus effectively reducing managerial discretion and enhancing information disclosure. Since lenders are more sensitive to decreases than increases in firm stock price, they have strong incentives to scrutinize borrowers and gather information about their financial conditions and future prospects. This research aims to study the economic concequences of debt maturity, to the impact of debt maturity choice on stock price crash risk of listed companies in Tehran Stock Exchange. In this regard, 120 companies were evaluated for the period 2008-2013. To test the hypothesis of the study panel data is used by software Eviews 7. We find that firms with a larger proportion of short-term debt tend to have lower future stock price crash risk, consistent with short-term debt playing an effective monitoring role over managers and constraining their bad news hoarding behavior. Our results also show that the inverse relation between short-term debt and future crash risk is more pronounced among firms with higher degree of information asymmetry. Overall, our paper shows that short-term debt not only preserves creditors’ interests, but also protects the value of shareholders.