The pandemic of Covid-19 has affected the equity market to become highly volatile. This study aims to investigate the Autoregressive Conditional Heteroskedasticity (ARCH) family models in forecasting the Dow Jones conventional and Islamic indices, and to examine the impact of the Covid-19 pandemic on both the Dow Jones conventional and Islamic indices. This study employs a time series of daily data over the period 2013 to 2021. The results show that the GARCH, TGARCH and EGARCH were the best models in predicting the Dow Jones indices. However, when the data is divided into sub-period, it is found that only TGARCH is the best model in forecasting Dow Jones indices. Interestingly, the findings show that bad and good news can significantly affect the conditional volatility of all Dow Jones conventional and Islamic indices returns. The findings of this study conclude that securities regulation department in the United States of America had captured the influence of corona pandemic. This is mainly because of the strong relationship between the fluctuation of the stock prices and the pandemic itself. Accordingly, the international investors should pay attention to prediction models which offers to utilize these results to adjust their investment counter position for the future volatility and employ hedging strategies during the corona pandemic.

This paper investigates the impact of the macroeconomy on Vietnam real estate market (REM). The research data were collected by the authors on a quarterly basis, from the third quarter of 2004 to the last counterpart of 2020. The authors utilize the Autoregressive Distributed Lag (ARDL) approach. The results reveal that REM is negatively influenced by the macroeconomy (interest rate and global crisis) in the short run and long run. This result is completely consistent with the wealth effect theory, the Austrian Business Cycle Theory (ABC), as well as the Arbitrage Pricing Theory (APT). However, the findings in this paper are valuable empirical evidence on the impact of the macroeconomy on REM in Vietnam, a developing country with relatively nascent REM. In particular, this study has achieved novelty compared to previous studies by finding the negative impact of the global crisis on REM, where the global crisis is defined to include the global financial crisis and the Coronavirus (COVID-19) pandemic crisis. Based on this, Vietnam needs to operate macroeconomic policies flexibly and in accordance with each period in order to develop REM in a stable and sustainable manner.

Location and allocation in queuing systems is one of the most important decisions to improve the quality of service. Optimizing these two important decisions can have many positive effects on customer service. In this research, the problem of location-hierarchical allocation of facilities has been investigated by considering the priority of customers in the framework of queuing systems. To this end, a multi-objective nonlinear mathematical model has been developed. The objective functions of this issue include reducing the total waiting time of customers and maximizing the unemployment of facilities. To solve this mathematical model, a multi-objective genetic algorithm has been used. Also, the parameters of this algorithm are adjusted using Taguchi method. The results show that the establishment of customer priority system reduces the average waiting time of all customers. Therefore, it can be concluded that in the design of hierarchical facilities, if the goal is to reduce the waiting time of a particular segment of customers, they should be prioritized.

The emergence of private and foreign TV channels since 2002 have brought strategic changes in advertisement policies, especially in majority adds where the number of women portrayals adds are encouraged. This phenomenon leads more opportunities for women entrepreneurship in media business industry. The present study has investigated that how education play a role in enhancing more business opportunities for women entrepreneurs in advertising media. Using qualitative approach, a comparative analysis of PTV news (public) and GEO news (private) channels was done channel gives more prominence and frequency to women opportunities in their ads broadcasted in prime time (9 to 10 pm) during 30 days of simultaneous period in June 2020 amid CIVID-19 pandemic. The results shows that less educated females as media practitioners in advertisements may get less opportunities and educated females avail lucrative opportunities in Media Industry. Educational richness makes women more capable to influence more audience and grab their attention towards specific product/service with ample marketing skills and entrepreneurial eminency. Results also show that ratio of educated females in private channel advertisements is comparatively high and opportunities for highly educated female practitioners as entrepreneur are high. It is concluded that we need to support young women

Monetary policy seeks, through its tools, to stabilize the prices of goods and services, stabilize the exchange rate of the local currency, and create an appropriate interest rate structure that is consistent with economic and local conditions. The research problem is a question. Has the economic policy in Iraq succeeded in being in meshes with the directions of monetary policy and investing the stability opportunities provided, to promote the development activity of the country properly, by strengthening the role of local investment, especially in small industrial projects with the desired product locally. This study dealt with measuring indicators of monetary stability in the development of small industrial enterprises. The industrial system for small enterprises in Iraq is characterized by the high volume of small-sized industrial units, which accounted for (96.99%) of the total establishments operating in the industrial sector. The existence of a direct effect between the exchange rate and the number of workers, and the existence of an adverse effect between inflation and the value of production.

The number of security incidents related to the manufacturing industry has been steadily increasing over the past decade. The most prominent security risks impacting the manufacturing industry are intellectual property theft, supply chain interruptions, industrial espionage, data breaches, and ransomware attacks. Blockchain is an emerging technology that offers distributed, highly available, resilient, and traceable ledger-based databases and thus opens new ways of dealing with conventional security challenges in the confidentiality, integrity, and availability domains. ISA95 outlines manufacturing functions in a number of areas and characterizes the information flows. Moreover, ISA95 constitutes a common blueprint for the manufacturing industry and this research paper systematically assesses the suitability of the blockchain technology for the ISA95 enterprise core functions and sub-functions as a way to ultimately increase the confidentiality, integrity, and availability of manufacturing systems.

this paper extends the literature on the elements and effect of financial literacy by investigating the elements of financial literacy and the impact of financial literacy on financial inclusion and savings. This research confirms the results of researches of other economies but exposes some dissimilarities as well. The principal factors of financial literacy are discovered to be government efficiency, educational level, income, economic performance and infrastructure. Both education levels and financial literacy are found to be meaningfully and positively linked to financial inclusion and savings in G20 economies.

The ultimate goal of investment in financial markets is to achieve the maximum expected rate of return. Risk is one of the most important factors in making profitable investment decisions. Therefore, in the literature, many efforts have been made to define, model, and determine the effect of it in making financial decisions. The first and the most fundamental attempt to quantitatively model the risk and involve it in making investment decisions is related to Markowitz’s studies. The results of these studies, besides many financial applications, have been the basis for other riskbased studies. Such methods have been investors’ main instrument in developing profitable investment strategies. However, despite scientific and practical advantages, none of them consider the predictability of under-study systems. While the predictability logically has a non-strict inverse relationship with the risk. In this paper, a new method for measuring risk based on the predictability is presented to eliminate this disadvantage. In the proposed method, Markowitz methods have been developed by entering predictability. Accordingly, the proposed method, besides the advantages of Markowitz methods, enters predictability in risk measurement. In order to evaluate the performance of the proposed method in risk measurement and investment decisions, in comparison to other methods, data from twenty companies listed on the Tehran Stock Exchange were used. The empirical results indicate the efficiency of the proposed method to make financial decisions in comparison with other methods.

This research aims to analyze the determinant of capital structure and profitability. Besides, it will also be tested to know whether there is a reciprocal relationship between this capital structure and profitability or not. The object of this research is using the registered manufacture company on the Indonesian Stock Exchange. The number of companies pointed as the samples in this research is 115 companies. The observation period is between 2012 – 2018 or for about 7 years so that the analysis units of this research are 805. The analysis tool used in this research is the Structural Equation Modeling by using generalized structural component analysis. It creates the results of Nondebt tax shield, effective tax rate, financial flexibility, liquidity; growth, uniqueness, assets utilization, firm size, tangibility, volatility, and profitability have an impact on the capital structure. It is known that only a firm age that doesn’t have any significant impacts on the capital structure. Liquidity, growth, firm age, uniqueness, firm size, tangibility, volatility, advertising, assets turnover, and capital affect profitability. Besides that, capital structure and profitability have a significant reciprocal relationship.

Several CEA tools are available to the analyst. Usually an analytical tool, such as the cause and effect diagram is applied for the investigation phase while a visual display tool, such as Pareto and pie charts, is used for presentation and decision support. A thorough look into these tools reveals the presence of fundamental limitations such as: (i) the particular tool is only efficient in the investigative stage but not in decision support, (ii) no qualitative and/or quantitative relationships between causes and effects can be obtained or (iii) the tool cannot accommodate multi-level CEA analyses. A new tool called the Drain-Pipe-Diagram (DPD) has been developed to overcome these limitations and enable easy decision making. The principle of the DPD derives from the working nature of a typical drainpipe network where the main collection-pipe resembles the “main effect” whereas higher-level feeding pipes resemble causes and subcauses. In addition, color coding and diametrical ratios were used to signify importance and share, respectively. The DPD was assessed against other CAE tools using a practical case study and proved to be superior to all compared CEA tools in both diagnostic and presentation abilities. Furthermore, the DPD was successfully applied to nontechnical areas including environmental applications.