درخت حوزه‌های تخصصی

High transaction costs have been cited as limiting access to credit in developing countries. This issue is much more critical for knowledge-based companies due to their position in accelerating economic growth and the particular characteristics of these companies. Therefore, this research aims to evaluate the transaction cost of financing knowledge-based companies from an official fund in Iran that provides financial support for innovations and technologies. The data was collected through interviews and questionnaires in a sampling of knowledge-based companies in 2022. In this study, after calculating the transaction costs of financing, the effect of the factors affecting it has been investigated. The investigated sample was 123 companies from the fund's customers. The results showed that, on average, the ratio of transaction cost to the facility, transaction cost rate, total cost rate (transaction cost and interest rate), and the ratio of transaction cost to interest rate are equal to 3.33, 7.04, 15.66, and 0.81, respectively. Based on the results, the facility amount, the number of payment steps, the distance between the request for the facility and the contract, the interest rate, and dummy variables for the type of facility have a positive and significant effect on the transaction cost

As a trading strategy, pairs trading is performed based on the arbitrage opportunities extracted from statistical models. It is an outcome of the distance between an asset pair and the equilibrium state. Consequently, selecting a pair with the potential to form long-term relationships and reverting to the mean is the main challenge associated with pair trading. Cointegration is one of the most famous statistical tests for selecting a pair's trading. The present study uses Empirical Mode Decomposition (EMD) to decompose the time series of an asset pair price into its constituent elements (intrinsic mode functions). This study examined the property of cointegration across different levels and the corresponding levels of 2- time series to find the cointegration pairs in different decomposition levels and finally examine the resulting profitability. To this end, the profitability of the pairs trading system related to 14 stocks of the Tehran Stock Exchange throughout 2012-2021 was investigated based on EMD. The results showed that the outputs are pretty noticeable for the first level of decomposition (the first intrinsic mode function), and the number of trading opportunities increased by more than two times compared to the normal pair trading with cointegration; the daily returns increased by four times; and the Sharpe ratio increased by about two times compared to the normal pairs trading. The system formed based on the second mode function also outperformed the normal cointegration, and the performance of the third intrinsic mode function is almost on par with that of cointegration. Moreover, the mean transaction duration decreased remarkably in the first and second mode functions.