کرامت الله حیدری رستمی

One of the most important factors that investors pay attention to in stock markets is stock price fluctuations, which is the basis for evaluating the performance of company managers. The performance of the company's stock includes the yield from the resources under the company's control and is considered a suitable criterion for reaching the set goals. In the meantime, one of the things that influenced widely on the world financial markets is the outbreak of the 2019 Covid-19 epidemic. The Covid-19 pandemic is known as a black swan event since it was a rare, unexpected, unknown phenomenon with a high and universal impact. Therefore, the current research purpose is to investigate the fluctuations in the stock prices of petrochemical industry companies affected by the Covid-19 pandemic. For this purpose, 19 petrochemical companies of Tehran stock exchange were studied between 2017 to 2022. The data gathered daily and included 19 petrochemical companies in 220 working days for 5 years. The results showed that the shock caused by the growth of the corona virus initially caused a decrease in price volatility in petrochemical companies, but after two periods, the reaction of price volatility to the shock was positive. Finally, the shock effect disappeared after seven cycles.

Women have been trying to gain independence throughout history. In recent years, advances in technology and business have helped women to achieve this goal. According to women's personality and psychological characteristics, there are differences in their trading styles. One of the factors influencing the choice of this type of strategy is stress. In the last few years, stress and anxiety caused by Corona have become epidemic. In order to test the hypotheses, women traders active in the financial markets of Iran were examined using a Likert questionnaire in 2022, and interesting results were obtained. In order to carry out the research of this study, an interview was conducted first to find suitable questions and validity. Then, the statistical population and sample were selected, and the final questionnaire was distributed among them. MATLAB software was used to identify the number of common descriptive characteristics of the respondents, and finally, using EViews software, statistical analysis related to hypothesis testing was performed. The result shows that women play more conservatively and are risk-averse during the period of coronavirus infection. It has no effect on the volume and capital used in the transaction. The Corona anxiety has significant effects on the three dependent variables of conservatism, trading style, and trading (volume, capital, and number of transactions).