درخت حوزه‌های تخصصی

This study explores the considerable significance of candlestick chart patterns as a foundational asset within the realm of stock market analysis and prediction. As a graphical representation of historical price movements and patterns, Candlestick charts offer a distinct and valuable perspective for understanding how the financial market operates. This perspective assists us in accurately pinpointing the most advantageous times for making decisions to buy or sell financial securities, such as stocks or bonds. These charts provide insights into market trends and potential trading opportunities. We adopt an innovative approach by harnessing image processing techniques to extract and analyze patterns from Candlestick charts systematically. Our findings underscore the pivotal role of visual data in financial analysis, particularly in times of market volatility and uncertainty. Investors often resort to technical analysis strategies when confronted with erratic market trends, often relying on insights derived from chart-based analysis to guide their decision-making processes. By meticulously extracting essential insights from candlestick charts, our study aims to provide investors with more efficient and less error-prone tools. Ultimately, this endeavor contributes to the enhancement of decision-making precision and the mitigation of risks inherent in participating in the dynamic stock market landscape.

Objective: The tourism sector, a significant component of the global service industry, is vital for a nation’s economic development and income generation. Therefore, it is essential to ascertain the factors influencing the demand for this type of service. The main aim of this study is to examine the impact of exchange rates on tourism demand in Iran. Methods: This study examined the long-term and short-term relationships between Iran’s tourism arrivals and variables such as the exchange rate, political risk, and other factors influencing tourism demand, including inflation, foreign investment, oil revenue, GDP, and population, employing time series data from 1995 to 2024 and the Dynamic ARDL simulation method. Results: The results indicate that political risk significantly detrimentally affects Iran’s tourism demand, whereas the exchange rate has a notable positive influence. Since 2010, when the fourth round of sanctions began, political risk has escalated owing to internal and external conflicts, negatively impacting international tourism demand. Conclusions: The interplay between exchange rate variables and political risk was found to positively influence tourism demand. The increase in the exchange rate decreases the costs of tourism services, and also stimulates creative business endeavors in the tourism industry.

Financial sanctions have economic consequences for the oil-dependent economies. We examined the impact of financial sanctions on exchange rate fluctuations and macroeconomic variables in Iran. To this end, we employed a new Keynesian DSGE model. The results indicated that with the shock in foreign exchange, production (Y) and imports initially decreased. Oil production has shown a positive reaction initially and a negative reaction in the medium term, and after 7 periods, the effect of the shock has disappeared. The capital stock (K) also decreased initially, and in two periods, it reacted positively. In the tenth period, its effect disappeared, and in the long term, it became partially negative, and its effect disappeared. The inflation rate has decreased initially, and its effect disappeared over time. Consumption decreased, and after five cycles, the reaction became positive and then disappeared. The interest rate increased initially and then decreased, and in the 10th period, the shock effect disappeared. The exchange rate initially decreased and then increased after one period.

The development of the nation’s economy is supported by the growing diversity and enthusiasm of interest among academics, particularly in the transforming procedures with an entrepreneurial orientation. The study investigates changing entrepreneurial-oriented practices and the performance of SMEs utilizing a cross-sectional survey amongst the four top grocery registered SMEs operating in Ikorodu local government division of Lagos State, Nigeria. The tool for gathering data is a questionnaire with two sections: bio-data and research questions. While 100 respondents formed the sample size proportionally selected from the study focus. Pearson correlation is the statistical tool for data analysis. The study reveals that creativeness and alleviation of business loss have a highly significant impact on SMEs performance; with pro-activeness having a weak, but positive relevance on SMEs performance. In conclusion, to further improve and optimize entrepreneurial orientation practices and adapt to future threatening changes, firms need to strengthen the desire for healthy competition, identifying and targeting the weaknesses of their competitors. It is recommended that more innovativeness should be sought after as guiding principles for capability and adaptability to handle the complexity of the ever-changing business surrounding, while involvement in risk-taking should be adopted with inevitable zeal and willingness to attain organizational growth and improved performance. Pro-activeness should be given adequate consideration to maintain and surpass existing performance as opportunities come but once. Despite study limitations, future researchers may need to enlarge the sample size and create awareness of research conducted on SMEs generally. Keywords: Change, Entrepreneurial orientation, Performance, Practices, SMEs.

Today, numerous studies have investigated the role and effects of intangible assets on companies' performance. The existence of extensive literature regarding the use of intangible assets as a competitive advantage, in addition to the importance of performance dimensions affected by these assets, is the focus of the attention of various researchers. Regarding examining the performance dimensions of banks, the CAMEL model can be a suitable basis for evaluating the effects of intellectual capital. Although there are many models for calculating intellectual capital, the added value of the intellectual coefficient is still one of the most common methods. Therefore, in the current research, the effects of intellectual capital (based on the calculation model of the coefficient of added value of intellectual capital) on the performance of banks (based on the CAMEL model) have been investigated. Also, the shape of the function (linear or nonlinear) has been investigated in this research. The results show that the value added of the intellectual capital coefficient in the ninth quantile has a significant relationship with the variable of capital adequacy. The form of the relationship is nonlinear and inverted U. This variable affects the quality of assets in the seventh to ninth quantiles, management in the eighth and ninth quantiles, income in the first and second and sixth to ninth quantiles, and liquidity in the first to fourth quantiles. The shape of the function is U, inverse U, and inverse U, respectively.

The positive impacts of fiscal policy could be undermined when accompanied by uncertainty. We examined the effect of fiscal policy uncertainty on economic activities in the provinces of Iran. It includes production, investment, unemployment, and economic participation of the active workforce in these provinces, taking into account the effects of economic sanctions imposed on the economy. We employed two types of shocks: fiscal level shock (representing fiscal policy) and its volatility shock (as fiscal policy uncertainty), which derived from a specified fiscal reaction function. We estimated a Panel VAR model using provincial data from 2003 to 2020. The results of the impulse response function indicated that following the impulse in the fiscal policy uncertainty, the response shows an increase in the unemployment rate in the short run, a decrease in the capital investment, and an increase in the inflation rate in the short and medium terms. In the medium and long term, the response indicates a decrease in GDP growth and a reduction in the economic participation rate of the active workforce.