درخت حوزه‌های تخصصی

Stock price crash risk has a significant impact on investors, creditors, managers, and shareholders, so the prediction of this phenomenon is a very important issue in investment and risk management decisions. This research investigates the effect of business strategy and stock price synchronicity on stock price crash risk. Following Bentley et al.[2], composite strategy score has been used to proxy for an organization’s business strategy, expanded market model regression following Chen et al. [3] to measure the firm-specific crash risk, and R2 method of Johnstone [14] to calculate the stock price synchronicity. In order to achieve this point, financial information of 171 companies that are listed on Tehran stock exchange have been selected during the time period of 2013 to 2018, and data was analysed using regression model. According to the results, companies with defender (analyser and prospector) business strategy are less (more) prone to future crash risk. Moreover, results show that stock price syn-chronicity has positive effect on stock price crash risk, while in companies with analyser business strategy it can reduce the stock price crash risk. The interactive effect of business strategy and stock price synchronicity on stock price crash risk in companies with prospector and defender business strategy is not significant. Other findings suggest that Institutional ownership has positive, and company’s age has negative effect on stock price crash risk.

In the first nine months of 2018, the triple increase of dollar price made the stock market an attractive place for speculation, especially for non-professional investors. Hence, this study was aimed to investigate the profitability of speculation in the foreign exchange market (dollar) and to compare it with investment in three indices of sugar, oil products, and basic metals. First, the conditional Sharpe ratio was calculated separately for these four assets. Then, six investment portfolios were developed for these four assets. The results showed although dollar speculation with mean daily return of 0.6% had the highest return among the ten investment assets, dollar speculation was ranked last, or tenth (0.096) in terms of performance and profitability by considering the standard deviation or daily conditional risk using conditional Sharpe ratio. Moreover, the results indicated that from among the six portfolios with equal weight, three investment portfolios consisting of merely Tehran Stock Exchange indices had a better performance than three investment portfolios comprising dollar speculation and each stock exchange index. It was also found that the risk of lack of capital diversification by investors was higher than that of accepting a higher-level risk.

Banks as one of the most important and crucial economic sectors in each country play a significant role in economic growth and development and they face various risks one of which is liquidity risk. Managing liquidity risk is of great importance and identifying its effective factors is more vital. The present study aims to pre-sent a dynamic model to manage liquidity risk. System dynamics is used to find a risk making structure and present the most effective solution to manage it. In this method, by providing a mathematical model, simu-lating the results of various scenarios is possible. The results of implement-ing four scenarios on the model were simulated and analyzed. The results revealed that reducing legal deposits and nonperforming loans and increasing attraction of deposits is influential in banks liquidity risk.