درخت حوزه‌های تخصصی

The purpose of this study is to design and explain the model of online advertising with an image-based marketing approach. In this regard, while reviewing the concepts of online advertising, image-based marketing (GIF marketing) and tourism using confirmatory factor analysis and structural equation modeling, we designed and explained the online advertising model with the gif marketing approach in oil and gas’s Industrial tourism hubs of Iran. The research strategy includes a combined qualitative study of content analysis, granded theory and delphi analysis and quantitative study in survey. The study population in the qualitative part includes experts in the field of advertising focusing on the tourism industry and in the quantitative part all tourists are in the oil and gas’s Industrial tourism hubs of Iran. Normal test and confirmatory factor analysis and structural equation modeling test were used to confirm the components and model. The results showed that the components (causal factors, contexts and outputs) of online advertising model with GIF marketing approach in oil and gas’s Industrial tourism hubs are in order of priority. In order to conduct open interviews and coding, 62 indicators were finally extracted. The results of model validation and model overall fit index (GOF), which has a value of 0.794, showed that the overall fit of the model is desirable and as a result, the overall model is valid and approved. Also, in Q2 index, positive numbers showed more than 0.35, which showed the high predictive power of the model.

One of the most critical investment issues faced by different investors is choosing an optimal investment portfolio and balancing risk and return in a way that, maximizes investment returns and minimize the investment risk. So far, many methods have been introduced to form a portfolio, the most famous of the Markowitz approach. The Markowitz mean-variance approach is widely known in the world of finance and, it marks the foundation of every portfolio theory. The mean-variance theory has many practical drawbacks due to the difficulty in estimating the expected return and covariance for different asset classes. In this study, we use the Hierarchical Risk Parity (HRP) machine learning technique and compare the results with the three methods of Minimum Variance (MVP), Uniform Distribution (UNIF), and Risk Parity (RP). To conduct this research, the adjusted price of 50 listed companies of the Tehran Stock Exchange for 2018-07-01 to 2020-09-29 has been used. 70% of the data are considered as in-sample and the remaining 30% as out-of-sample. We evaluate the results using four criteria: Sharp, Maximum Drawdown, Calmer, Sortino. The results show that the MVP and, UNIF approach within the in-sample and, the UNIF and HRP approach out-of-sample have the best performance in sharp measure.

As one of the most important components of the financial market, the stock market plays a significant role in facilitating the transfer of financial resources to the productive sector; therefore, identifying the factors that influence this market and the response of this market to shocks that occur has always attracted the interest of policymakers and analysts. The present study focuses on the response of stock market returns of major oil-importing countries to the oil price shock, oil supply shock, and aggregate demand shock over the period 2010-2019 using the Panel Vector Autoregressive (PVAR) method. Based on the extracted impulse response functions (IRFs), the response of the stock market index to the oil price shock and the oil supply shock is negative, while the response of the stock market index to the aggregate demand shock is generally positive. The results of variance analysis show that the oil price shock, oil supply shock, and aggregate demand shock have the largest impact on the fluctuations of the stock market index, and indicate the selected oil-importing countries have taken measures to hedge their stock market against the oil price shock during the crisis period. JEL Classification: C58, E44, G10, Q43

Sanction is defined as the restrictions over economic activity imposed by one international actor. It is a foreign policy tool in the United States foreign policy. Three key terms discussed throughout the book are sanction, pain, and resolve of sanctioned country. In the nine chapters of the book, the author discussed the design, and implementation of economic sanctions. The main points raised in the review are: a one-sided account of the book. It is an account of the sanction sender’s perspective. The other side of sanctions is the humanitarian problem stemming from sanctions. Moreover, studies on the economic consequences of sanctions on Iran were briefly presented, which are ignored in analyzing the implementation of the sanctions. The literature includes reducing economic growth, increasing income inequality, intergenerational effects of sanctions, effect of sanctions on food security, and impact of sanctions on public health expenditures._x000D_ Sanction is defined as the restrictions over economic activity imposed by one international actor. It is a foreign policy tool in the United States foreign policy. Three key terms discussed throughout the book are sanction, pain, and resolve of sanctioned country. In the nine chapters of the book, the author discussed the design, and implementation of economic sanctions. The main points raised in the review are: a one-sided account of the book. It is an account of the sanction sender’s perspective. The other side of sanctions is the humanitarian problem stemming from sanctions. Moreover, studies on the economic consequences of sanctions on Iran were briefly presented, which are ignored in analyzing the implementation of the sanctions. The literature includes reducing economic growth, increasing income inequality, intergenerational effects of sanctions, effect of sanctions on food security, and impact of sanctions on public health expenditures.