majid ameri

The current research investigates the top 30 companies of the Tehran Stock Exchange from 2009 to 2021, looking at each quarter. In this study, the traditional stop-loss (SL1) and trailing stop-loss (SL2) methods were used to calculate the stop-loss and buy-and-hold strategies to compare their trading effectiveness. The return variable was calculated separately for the first, second, and third months and all three were used together. To investigate the relationship between variables, EViews and SPSS software was used. The variables were subjected to significant and descriptive statistical analysis. The Paired Simple Test results showed that the Trailing Stop-loss (SL2) strategy had a higher return than the other two strategies during the three months. The Wilcoxon nonparametric and Sign tests' results confirmed that the Stop-Loss strategy (SL2) performed better than others. Time series tests such as the Unit Root, Self-correlation, Momentum Behaviour, and Variance Heterogeneity tests were accomplished to investigate the correlation between returns. In brief, the results showed that the Trailing Stop-loss (SL2) strategy functioned better than the other two strategies on the Iranian Stock Exchange. This finding can help investors decide among different strategies to profit more on the Tehran Stock Exchange.

The main purpose of this study is to determine the factors affecting Stock Price Crash Risk in various domestic studies. The sample of this research is taken from the results of 57 internal studies based on meta-analysis approach. The results showed that the variables of conservatism, social trust, debt maturity, dividends, ownership concentration, auditor expertise in the industry and the effectiveness of internal controls had a negative and significant effect on Stock Price Crash based on the negative skewness of stock returns (NCSKEW). Also the variable of trading strategies is the only negative factor affecting Stock Price Crash based down-to-top volatility. Also, the ratio of M/B and size has a negative effect on the risk of falling stock prices based on the maximalist Sigma. On the other hand, information asymmetry, standard deviation of monthly return, investor heterogeneity, stock overvaluation and free cash flows are among the causes of exacerbating Stock Price Crash based on negative skewness of stock returns (NCSKEW). and growth opportunities and accrual items exacerbating Stock Price Crash based on maximalist Sigma.

In recent years، regarding the export of Food & Beverage is important. in Iran and the economic researchers have been noted it. The main objective of this paper is to examine the impact of market concentration as a structural variable، advertising and R&D expenditures as behavioral variables and investment productivity on the Iranian food exports as a performance variable. For this purpose، the data for Iranian food firms has been extracted from the Statistical Center of Iran over the period of 2000-2007. Moreover، the empirical model of this study has been estimated by the Static Panel Data approach (SPD). The empirical results indicate that the market concentration، advertising and R&D intensity and investment productivity have positive and significant effects on the Iranian food exports and the impact of researching intensity (as measured by the ratio of research & development expenditures on sale) is more than other explanatory variables. Therefore، the market conduct is one of the main determinants of Iranian food exports. Also، due to the direct impact of R & D spending effect on exports، we can say that if managers and policy makers increasing the research and development activity in Iranian food industry sector can promote non-oil exports، especially exports of food products in Iran. Moreover، Facilitate and encourage producers to participate in exhibitions and international markets sales increased exports of goods and services can help.