درخت حوزه‌های تخصصی

In this article, the pricing of option contracts is discussed using the Mikhailov and Nogel model and the artificial neural network method. The purpose of this research is to investigate and compare the performance of various types of activator functions available in artificial neural networks for the pricing of option contracts. The Mikhailov and Nogel model is the same model that is dependent on time. In the design of the artificial neural network required for this research, the parameters of the Mikhailov and Nogel model have been used as network inputs, as well as 700 data from the daily price of stock options available in the Tehran Stock Exchange market (in 2021) as the net-work output. The first 600 data are considered for learning and the remaining data for comparison and conclusion. At first, the pricing is done with 4 commonly used activator functions, and then the results of each are com-pared with the real prices of the Tehran Stock Exchange to determine which item provides a more accurate forecast. The results obtained from this re-search show that among the activator functions available in this research, the ReLU activator function performs better than other activator functions.

Innovation is one of the basic tools of growth strategies to enter new markets, increase market share and create a competitive advantage. The purpose of this study is to evaluate the efficiency of innovative techniques in improving new and traditional criteria of ICT field companies’ performance during the years 2013 to 2017. Based on this goal, the research was conducted qualitatively and quantitatively. Based on Cochran sampling, 8 companies were selected as a statistical sample. In the first phase, to identify and determine the centers of decision-making units, inputs and outputs of the departments through Delphi method, distribution of questionnaires and aggregation of opinions of individuals and in in the second phase, the classification of model inputs and outputs and weighting of parameters by Delphi method and network analysis process method, and in the third phase of the research, the efficiency of innovative techniques in improving new and traditional performance criteria of ICT fieldcompanies is investigated. According to the results of the present study and in general among 8 sample companies, the first rank of efficiency is awarded to Iran Arqam Company and the 8th rank is awarded to Iran Telecommunication.

Iran Mercantile Exchange is striving to become a regional hub for price discovery of essential commodities and raw materials, providing producers with financial instruments and risk management tools. This study investigates the optimal hedge ratio in future and commodity deposit receipts (spot) contracts for Round Fandoghi pistachios. Using the BEKK-VAR-TARCH model, the impact of seasonal and daily volatility on returns and hedge ratios was assessed over the period from 19 October 2018 to 18 January 2022. The results showed that volatility on specific days of the week and during different seasons affect speculative and investment decisions in the commodity exchange. Particularly, sharp volatility during certain periods can lead to significant changes in returns and hedge ratios. These findings suggest that investors should update their investment strategies based on seasonal and daily volatilities. Additionally, the importance of utilizing financial instruments suited to market conditions for managing existing risks was confirmed. Ultimately, investors, speculators, and policymakers in the commodity exchange are advised to pay special attention to temporal changes and existing volatilities when composing their investment portfolios and adjusting hedge strategies. Furthermore, the use of futures contracts and derivative instruments is recommended as risk management approaches. This study contributes to a better understanding of volatility behavior and offers strategies for improved risk management in the Round Fandoghi pistachio market.

Etisalat is a global business which currently operates in 16 countries across the Middle East, Asia and Africa, and as one of the 25 leading global telecoms companies, the management team has identified Nigeria, the largest black Nation on earth as a strategic opportunity to increase both its brand perception and returns to its shareholders. This piece, written based on few frameworks and models to provide an analytical recommendation to the leadership of Etisalat on how to penetrate the market, and also sustain its presence despite the monopolistic competition. The report provides an insight into a business case establishing the growth of LTE subscriptions in the market and also provides a macroeconomic analysis of the business environment of the Nigerian market. The popular SWOT analysis framework guided the critics of the status and capability of Etisalat as a global business, providing insight to its competitive advantages and its area of development as a brand. One identified opportunity for Etisalat, among many others, is the strong governmental and public relations capability of Etisalat which is considered a strategic opportunity to grow its presence in the region. The report also analyzed the economy of the country from a macro and more objective perspective. Identifying key challenges and strategic case for why Etisalat would succeed in Nigeria despite the obvious challenges. Identifying FDI in the telecoms industry as a growing area, the country has been able to help service businesses attract more infrastructural investment which has also reduced the cost of operation at scale. Finally, the piece provides critical short-term and long-term recommendations with an implementation plan which further identifies areas of immediate opportunities

Although it is unclear whether these services are reaching their full potential, mobile technology may assist smallholder farmers in receiving better financial services. This article fills the lacuna by providing an exploratory overview of the research on the effects of financial services offered by mobile phones on farmers, with a slight focus on Africa and other developing countries. The review emphasizes how little empirical data there is in this field. Results imply that farmers profited from advances in risk management, input management, post-harvest sales and loan disbursement ease. The evaluation also identifies several methodological flaws, most notably the use of lack of creditworthiness data and the diversion of resources by smallholder farmers

This paper examines the credit risk in the Iranian banks during 2008 to 2018 through the Z-score (Accounting based data) and the KMV-Merton (Market based information) models. In the Merton model, equity is equal to call option on underlying value of the bank’s asset. The market value of assets is estimated by share price. The value of assets is then compared to the value of liabilities. Therefore, default when occurs that the market value of assets is less than the book value of debts. so, value of equity becomes negative. In the Z-score model, Return on Assets and Equity to Assets as the numerator and standard deviation of ROA as the denominator are applied. If the mentioned ratios of numerator increase and the denominator decrease, the probability of default decline. As well as, Independent variables are divided into five groups: leverage, management efficiency, profitability quality, financial health, and liquidity. As a result, capital adequacy and profitability have a greater impact on both models. Also, the ANOVA table proves the validity of two models. The value of ROC test in both models is above average (0.5) which are efficient and their efficiency is 99.48% and 92.68%, respectively. Also, in terms of Voung’s test, the KMV is more efficient than the Z-score.