درخت حوزه‌های تخصصی

One of the important factors in making a profit through financial markets is a quick and correct response to market events, which is possible only by examining all aspects of the market. Today, to solve this challenge, the use of trading algo-rithms has become inevitable and can be considered as transactions made by computers that these transactions are controlled and reviewed through algorithms. Depending on their type and purpose, these algorithms examine different aspects and, according to the strategies defined for them, make decisions and signal by order registration. These trading methods are growing rapidly in the world, espe-cially in strong and developed financial markets. Proper implementation of algo-rithmic transactions reduces transaction costs and increases the accuracy of inves-tors in their investments. One of the most widely used of these strategies is the trend-following strategy, which is welcomed by many traders. This strategy can be implemented in different ways and through different trading tools. In the pre-sent study, five types of them were examined and implemented on one of the most traded symbols of the Tehran Stock Exchange. The purpose of this study is to implement some of the popular strategies in algorithmic trading along with the introduction of algorithmic trading, its strategies in the Iranian stock market, which includes the study of its advantages and disadvantages. The present study is a cross-sectional retrospective and field survey in terms of applied purpose and in terms of data collection.

Purpose: Dynamic features of the market, increased competition, and globalization are primary requirements of active participation in new markets. These days, only companies which benefit from digital agility and function fast, as well as flexibly, can grow and expand their market. The present study aimed to design and illustrate a model of agile digital marketing capabilities in the insurance industry in Iran.Methodology: The present study is aimed at presenting a model of agile digital marketing capabilities in insurance industry by using semi-structured interviews. By nature the study is exploratory and qualitative; concerning research objective it is an applied study; it is, also, a descriptive survey study in terms of data collection. The population includes all senior managers of insurance firms and decision-makers in digital marketing of insurance industry. Accordingly, the sample includes 42 participants with required subject-matter experience and skill and expertise. By means of qualitative research methods in marketing, and the real-world data-based grounded theory (GT) systematic paradigm, the study tried to present a theoretical model.Findings: Based on the interview data and following the grounded theory approach, 246 open codes and 41 themes were identified regarding the agile digital marketing capabilities in the insurance industry. In this research, the main categories are Flexibility, Prediction and accountability-prevention, Quality, Reconfiguration, Functional mutual cooperation, Convenience and reaction speed, Perception, Trust and safety, Integrity of skills and performance, the ability of technical integration, the ability of organizational integration. In  addition to the central dimension, five other components (Casual factors, Contextual factors, Intervening factors, Strategies, and Consequences) were identified.Discussion and Conclusion: The final result of the study is a relatively comprehensive and complete paradigm based on the requirements and characteristics of the insurance industry. The present study aims to expand theoretical foundations and the existing literature on digital agile marketing through an applied and appropriate model, whereas previous researches are focused on speed and accuracy, or on organizational structure, culture, manpower, information equipment, technology, and process, or on reaction speed, flexibility, and responsiveness.  Also, the importance of channels, social media, digital communication, digital technology in digital marketing, and social networks, as well as the special value of the brand , are common knowledge. Studies, also, allude to team-making and management support, and culture . Also, in some cases, adaptability to changeable conditions, cooperative approach, integrative workplace, innovation speed, concentration on prediction, and monitoring market needs were attested in previous literature

Proving helpful in an efficient management of cash in order to reach optimal cash and clearly explain relevant optimization policies, this study examined the adjustment speed of cash holding using asymmetric models. The sample consisted of 117 firms listed in Tehran Stock Exchange and their financial details over the 2009-2018 period. Once the optimal level for cash holding was identified, asymmetric models such as the dummy variable approach, the quadratic model, and the threshold regression model were employed to test the adjustment speed of cash holding. The results revealed that cash-rich firms are moving toward optimal cash at a greater speed than cash-poor firms. In addition, the results from the quadratic model showed a non-linear, skewing effect of the cash holding adjustment speed in terms of the different cash levels. Therefore, there is an optimal level of cash holding that enables firms to deviate from the cash target. Should firms fall outside the optimal cash range, cash adjustment will occur at a greater speed, and it will be both partial and asymmetric.

The purpose of this study is a new understanding behaviour and net cash flow forecasting. The data of this research contains the daily trial balance for one year, which has been received from 48 bank branches. For this purpose, the optimal model out of 4 models; Geometric Brownie, Arithmetic Brownie, Vasicek and Modified Square Root at three levels of microscopic, mesoscopic and macroscopic have been investigated and the Geometric Brownie model has been approved as the optimal model in microscopic level . The results show that Geometric Brownian Motion model can simulate the net cash flow highly accurate in accordance with the criteria of mean absolute percentage error. also forecasting net cash flow for each under study time series has been done in various forecasting horizons involved 7, 14, 21, 30, 60, 90 and 180 day time period accordance with the criteria of mean absolute percentage error. Also The other results obtained from this study is that according to 8 different prediction accuracy criteria, By increasing the forecast hori-zon, ability of the GBM model in simulation and forecasting the net cash flow de-creases.

The present study explained the effective components' role in the relationship between investment efficiency and tax avoidance. The study's statistical population is the firms listed on the Tehran Stock Exchange. Using the systematic elimination sampling method, 128 companies were selected as the research sample in the 8 years between 2014 and 2021. Data for measuring the variables were collected from the Codal website and the companies' financial statements; preliminary calculations were made in Excel; then, the research hypotheses were analysed and tested using a multivariate regression model with panel data in Stata and Eviwes software. The results show that tax avoidance has a negative effect on investment efficiency. Also, the comparability and readability of financial statements have an inverse effect on the relationship between tax avoidance and investment efficiency. It can be concluded that the comparability and readability of financial statements weaken the inverse relationship between tax avoidance and investment efficiency. Other findings showed that the company's information environment has a direct and significant effect on the relationship between tax avoidance and investment efficiency, and competitive power does not significantly affect the relationship between tax avoidance and investment efficiency.