XML
-
-
List of Articles
-
Open Access Article
1 - The improved Semi-parametric Markov switching models for predicting Stocks Prices
Hossein Naderi Mehrdad Ghanbari Babak Jamshidi Navid Arash NademiThe modelling of strategies for buying and selling in Stock Market Investment have been the object of numerous advances and uses in economic studies, both theoretically and empirically. One of the popular models in economic studies is applying the Semi-parametric Markov MoreThe modelling of strategies for buying and selling in Stock Market Investment have been the object of numerous advances and uses in economic studies, both theoretically and empirically. One of the popular models in economic studies is applying the Semi-parametric Markov Switching models for forecasting the time series observations based on stock prices. The Semi-parametric Markov Switching models for these models are a class of popular methods that have been used extensively by researchers to increase the accuracy of fitting processes. The main part of these models is based on kernel and core functions. Despite of existence of many kernel and core functions that are capable in applications for forecasting the stock prices, there is a widely use of Gaussian kernel and exponential core function in these models. But there is a question if other types of kernel and core functions can be used in these models. This paper tries to introduce the other kernel and core functions can be offered for good fitting of the financial data. We first test three popular kernel and four core functions to find the best one and then offer the new strategy of buying and selling stocks by the best selection on these functions for real data. Manuscript profile -
Open Access Article
2 - Moderating Role of Managerial Entrenchment to Effect of Technology-Based Capabilities on Product Market Competition: Resource-Based View (DEA)
Hamideh Ajazm Ekrani Mohammadreza Abdoli Hossien BakhshiThe development of knowledge and advancement in technology has created a wide-ranging transformation in societies and has led to changes in the per-formance of companies in order to respond to environmental turmoil and social expectations. In this way, they tried to gai MoreThe development of knowledge and advancement in technology has created a wide-ranging transformation in societies and has led to changes in the per-formance of companies in order to respond to environmental turmoil and social expectations. In this way, they tried to gain a significant competitive advantage over other competitors. The purpose of this study was to investi-gate the moderating role of managerial fortification in relation to the impact of technology-based capabilities on the product market competition of knowledge-based companies in the capital market: a source-based capabili-ties (DEA). This research is applied in terms of purpose and in terms of data envelopment analysis is a quasi-experimental and post-event research in the field of positive accounting research. Then, based on multivariate regression, the research hypothesis was tested using Eviews software. The statistical population studied in this study consisted of knowledge-based companies listed on the Tehran Stock Exchange during the years 2015 to 2019 and 79 companies were selected and reviewed based on systematic screening. The result of testing the research hypothesis is that the technological capabilities have a positive and significant effect on the product market competition of knowledge-based companies in the capital market. This result demonstrates that the resource-based technology capability based on the source-based capabilities is seen as a resource against stagnation in a competitive environ-ment and helps the company, to maintain flexibility in the face of environ-mental change in order to respond faster, at the same time to develop the company's competitive capacity to create new resources or new and innova-tive products, and to make the company's future more attractive to stake-holders with greater returns and potential risk control. Manuscript profile -
Open Access Article
3 - The efficiency of innovative techniques in improving new and traditional standards of corporates’ performance
Kianoosh Mansourkhani Majid Zanjirdar Majid Davoudi Nasr Mohammad IzadikhahInnovation 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 fi MoreInnovation 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. Manuscript profile -
Open Access Article
4 - Portfolio optimization considering cardinality constraints and based on various risk factors using the differential evolution algorithm
Behnaz Ghadimi Mehrzad Minooei Gholamreza Zomorodian Mirfeiz FallahshamsAs the main achievement of the modern portfolio theory, portfolio diversifica-tion based on risk and return has attracted the attention of many researchers. The Markowitz mean-variance problem is a convex quadratic problem turned into a mixed-integer quadratic programmi MoreAs the main achievement of the modern portfolio theory, portfolio diversifica-tion based on risk and return has attracted the attention of many researchers. The Markowitz mean-variance problem is a convex quadratic problem turned into a mixed-integer quadratic programming problem when incorporating car-dinality constraints. Due to the high number of stocks in a market, this problem becomes an NP-hard problem. In this paper, a metaheuristic approach is pro-posed to solve the portfolio optimization problem with cardinality constraints using the differential evolution algorithm, while it is also intended to improve the solutions generated by the algorithm developed. In addition, variance, val-ue-at-risk, and conditional value-at-risk are assessed as risk measures. Candi-date models are solved for 50 top stocks introduced by the Tehran Stock Ex-change by considering the cardinality constraints of not more than five stocks within the portfolio and 24 trading periods. Finally, the obtained results are compared with the results of genetic algorithm. The results show that the pro-posed method has reached the optimal solution in a shorter time. Manuscript profile -
Open Access Article
5 - Comparing the performance of the Auto-Regressive Integrated Moving Average (ARIMA) method with that of the Recursive Neural Network (RNN) of long-short term memory (LSTM) in forecasting stock price
Ehsan Taieby sani Hossein AmeriIn this research, due to the importance of investing and especially investing in the stock market, we predicted the stock price return on the stock exchange through the Auto-Regressive Integrated Moving Average (ARIMA) and Recursive Neural Network (RNN) of long-short te MoreIn this research, due to the importance of investing and especially investing in the stock market, we predicted the stock price return on the stock exchange through the Auto-Regressive Integrated Moving Average (ARIMA) and Recursive Neural Network (RNN) of long-short term memory (LSTM). Then, to reduce the risk of decision-making, we compared the predictive power of these two models to determine a better model. The research variable is the stock price of the top 20 (in market cap) companies on the stock exchange for the period of the 11th Feb 2015 to 22th Jan 2022. We considered the data of the last 10 days as experimental data and the previous data as educational data. Initially, we calculated the mean and standard deviation of the prediction error of both models; these criteria had less value for the LSTM recursive neural network model than the ARIMA model. To measure the significance of this difference in predictive power, we used Harvey, Liborne, and New Bold tests. The results showed that in predicting the stock prices of the top 20 companies of the stock exchange, the predictive power of the LSTM recursive neural network model was statistically and significantly higher than the ARIMA model which means better predition of stock prices and higher return for investors. In the end, it is believed that the LSTM model may have the best predictive ability, but it is greatly affected by the data processing. Manuscript profile -
Open Access Article
6 - A New Non-monotone Line Search Algorithm to Solve Non-smooth Optimization Finance Problem
Saeed Banimehri Hamid EsmaeiliIn this paper, a new non-monotone line search is used in the diagonal discrete gradient bundle method to solve large-scale non-smooth optimization problems. Non-smooth optimization problems are encountered in many applications in fi-nance problems. The new principle cau MoreIn this paper, a new non-monotone line search is used in the diagonal discrete gradient bundle method to solve large-scale non-smooth optimization problems. Non-smooth optimization problems are encountered in many applications in fi-nance problems. The new principle causes the step in each iteration to be longer, which reduces the number of iterations, evaluations, and the computational time. In other words, the efficiency and performance of the method are improved. We prove that the diagonal discrete gradient bundle method converges with the pro-posed non-monotone line search principle for semi-smooth functions, which are not necessarily differentiable or convex. In addition, the numerical results confirm the efficiency of the proposed correction. Manuscript profile -
Open Access Article
7 - Patterning Mergers and Acquisitions by Network Data Envelopment Analysis in the Iranian Insurance Companies
Elham Sadeghi Mohsen Rostamy-Malkhalifeh Mohammad Reza Miri Lavasani mohammad hamed khan mohammadiOne of the most important factors of the development of an economy is the mergers or acquisitions (M&A) at the level of its active companies such as insurance companies. The main purpose of this study is to examine the efficiency of merger and acquisition before doi MoreOne of the most important factors of the development of an economy is the mergers or acquisitions (M&A) at the level of its active companies such as insurance companies. The main purpose of this study is to examine the efficiency of merger and acquisition before doing this process in the insurance industry using network data envelopment analysis and can select the companies that potentially facilitate achieving the purposes of the merger and acquisition process and improve of this action. For this purpose, in this study, first the efficiency of 20 insurance companies was measured through the Modified Slack-Based Measure (MSBM) in the two-stage data envelopment analysis approach during three years 2017, 2018 and 2019. Then, considering the calculated efficiency, Asia Insurance Company, Parsian, Dey, Pasargad, Kowsar and Taavon, which have had efficient performance in the last three years, were excluded from the calculations and other companies were selected for M&A . After ensuring that no monopoly is considered via Herfindahl- Hirschman Index, M&A is performed and then the overall efficiency was measured and it was divided into three parts: technical, harmony and scale. The results showed that the two consolidations Dana-Mihan and Dana-Sina had the best efficiency and the three consolidations Alborz-Mellat, Sina-Arman and Sina-Sarmad had the lowest efficiency and potential for the highest improvement. Calculations also showed that if the scale effect in the composition is greater than 1, then the coordination effect is smaller than 1 and the inverse relationship are not necessarily satisfied. Manuscript profile -
Open Access Article
8 - Fixed Cost Allocation Based on DEA Cross Efficiency Considering Semi-Additive Production Technology: An Application to Bank Branches
Javad GeramiIn the real world, situations frequently occur when we want to allocate a fixed cost between a set of decision-making units (DMUs) such as institutions, organizations. In this paper, we use the data envelopment analysis (DEA) technique to allocate fixed costs among DMUs MoreIn the real world, situations frequently occur when we want to allocate a fixed cost between a set of decision-making units (DMUs) such as institutions, organizations. In this paper, we use the data envelopment analysis (DEA) technique to allocate fixed costs among DMUs. First, we introduce semi-additive production technology in DEA and present efficiency evaluation models in this technology. In estimating the frontier of this technology, in addition to the observed DMUs, the set of all aggregations of these DMUs are also used. In the following, we propose an interactive process for fixed cost allocation between DMUs in DEA based on the concept of cross-efficiency. We show that our proposed iterative approach is always feasible, and ensures that all DMUs become efficient after the fixed cost is allocated as an additional input measure. The cross-efficiency scores corresponding to all DMUs are improved at each stage of the interactive process. We also illustrate the proposed approach with a numerical example. The proposed approaches are demonstrated using an application of the fixed cost allocation problem for branches of commercial banks. Finally, we bring the results of the research. Manuscript profile -
Open Access Article
9 - Firm Value, Tax Evasion, Tax Planning Opportunity and Financial Crisis of Firms
Navid Paidarmanesh Alireza Mehrazin Mohammad Reza Abbas zadeh Abolghassem MassihabadeeThe purpose of this research is to investigate the reasons for tax evasion in companies, which uses two independent variables (financial constraints and tax planning opportunities) and tow dependent variable (firm value and tax evasion by tax difference method) in the f MoreThe purpose of this research is to investigate the reasons for tax evasion in companies, which uses two independent variables (financial constraints and tax planning opportunities) and tow dependent variable (firm value and tax evasion by tax difference method) in the form of 13 models. The 11 indicators have been considered for the variable of financial constraints of companies, and the model is implemented for all these indicators. The research was conducted in the 5-year period from 2015 to 2019 in the Tehran Stock Exchange, and Eviews software was used to analyse the data and fit them for 3 research hypotheses. The results of the research show that the opportunity for tax planning has a negative effect on the value of the company, and the increase in the opportunity for tax planning and subsequently tax evasion causes a decrease in the value of the company. Also, the research results showed that there is a significant relationship between tax planning opportunity and tax evasion (by tax differences method) of companies, while there is no positive relationship between financial constraints and tax evasion (by tax difference method) in companies that have tax planning opportunities. Manuscript profile -
Open Access Article
10 - Voluntary Disclosure Dynamics under Risk and Ambiguity for Digital Corporates in Tehran Stock Exchange Market
Mohammad Feghhi Kashani Teimor Mohammadi Hadi PirdayeThis study aims at investigating the effects of the change in the information environment from risk to ambiguity, disclosure dynamics, and the ambiguity aversion behavior of investors on the disclosure of integrated information for selected corporates operating in digit MoreThis study aims at investigating the effects of the change in the information environment from risk to ambiguity, disclosure dynamics, and the ambiguity aversion behavior of investors on the disclosure of integrated information for selected corporates operating in digital industry listed on the Tehran Stock Exchange during 2012-2022. The corporate voluntary disclosure lag, stock return volatility, and the probability of favorable returns incidence represent respectively the disclosure dynamics, firm risk, and investors' ambiguity aversion, within dynamic panel models. To investigate robustness of the estimates we have also included capital market ambiguity, firm size and stock liquidity indices in the model. The findings are consistent with existing theories. Firm risk and the capital market ambiguity have an increasing impact on the integrated information voluntary disclosure. However, the ambiguity at firm's level has decreased its voluntary disclosure. Likewise, a rise in ambiguity aversion (in-dependent of the ambiguity level), which makes investors more pessimistic about the firm's cash flows, makes the manager to increase the level of voluntary disclosure. Further, inertia in voluntary disclosure has been detected among the studied digital corporates. Depending on the magnitudes of the risk, ambiguity, ambiguity aversion, and the source of investors' ambiguity, the corporate managers decide on their voluntary disclosure policy appropriately. Manuscript profile -
Open Access Article
11 - The Factors Determining the Transparency of Financial Information: Presentation of a mental model by cognitive mapping technique
Ahmad Nategh Golestan Naser ZeinabiThe purpose of this study is to examine the factors affecting the transparency of financial information by the experts and their understanding of the factors influencing financial transparency. The research methodology is based on qualitative approach and has been done MoreThe purpose of this study is to examine the factors affecting the transparency of financial information by the experts and their understanding of the factors influencing financial transparency. The research methodology is based on qualitative approach and has been done with cognitive mapping technique. The basis of this qualitative analysis is experience, knowledge and expertise of 15 experts and professors of the universities of Mashhad which is conducted with a semi-structured interview. Using structural analysis method, at first 44 factors were identified .In the screening stage, experts had the most consensus among the five factors. And in the last step, the experts compared these five factors in the binary matrix of interaction and from 0 to 3 were valued. Then the MIC_MAC software extracted the cognitive map and its graph and the results were analyzed. The result of this study showed that the company's characteristics, including size of company, ownership, board of directors, financial ratios, profitability, and audit quality of the company have the most impact on information transparency. Manuscript profile -
Open Access Article
12 - Asymmetric Cost Behavior, Industry Type, and Levels of Conservatism (Comparative Study of Non-Operating Accrual, Basu, and Market Value Models)
Zakvan Imani Mohammad Hossein Ranjbar Faegh Ahmadi Hamidreza VakilifardThe present study aims to examine the relationship between cost stickiness and conservatism levels according to the type of industry. This purpose is achieved using the combined data technique and three models of non-operating accruals, the Basu model, and the market va MoreThe present study aims to examine the relationship between cost stickiness and conservatism levels according to the type of industry. This purpose is achieved using the combined data technique and three models of non-operating accruals, the Basu model, and the market value model with a sample consisting of 113 companies listed on the Tehran Stock Exchange (TSE) over the period 2011 to 2020. Findings show that based on the model of non-operating accruals in the automotive, pharmaceutical, chemical, and food industries, cost stickiness decreases the level of conservatism. However, in the machinery industry, the relationship is significantly based on this model, but cost stickiness does not reduce the level of conservatism. According to the Basu model in the chemical, food, and basic metals industries, cost stickiness reduces the level of conservatism. But in the pharmaceutical industry and machinery and equipment, there is a significant relationship according to this model, but cost stickiness does not decrease the level of conservatism in companies. Also, based on the market value model in the automotive, chemical, machinery, and basic metal industries, there is a significant association, but cost stickiness does not decrease the level of conservatism in companies. Manuscript profile -
Open Access Article
13 - Central Bank Transparency and Capital Market Reaction: A Systematic Review
Mehdi Moazzami Mohsen Rasoulian Mohammad Hossein Vadiei Nowghabi Meysam Arabzadeh Esmail Mazroui NasrabadiIn an expansive test of nations over distinctive geographic districts and over a long period of time, we discover restricted nation and variable-specific impacts of central bank straightforwardness on figure exactness and their scattering among an expansive set of profi MoreIn an expansive test of nations over distinctive geographic districts and over a long period of time, we discover restricted nation and variable-specific impacts of central bank straightforwardness on figure exactness and their scattering among an expansive set of proficient figures of monetary and macroeconomic factors. More communication indeed increments estimate mistakes and scattering. So the aim at this study is a systematic review of central bank transparency and capital market reaction. This study was conducted using a systematic review. At first all papers (n=165) related to keywords (capital market reaction and central bank transparency) searched for Persian and English databases; Google, Google scholar, PubMed covering the period from 2012 through 2022 was performed. Then all qualitative and quantitative papers related to central bank transparency selected and analyzed (n=28). As a result to inclusion and exclusion criteria, papers related to central bank transparency were found and analyzed (n=28). Predefined inclusion and exclusion criteria were: papers related to central bank transparency, papers were Persian and English, types of papers were original and all the papers were free full text. In the initial search, 165 papers were found that after reviewing the titles and abstract articles and removing repetitive and non-related, 54 possible related articles were investigated. Of these, 31 papers were omitted from the abstract because of lack of access to the original article and lack of sufficient information. Finally, 28 papers were included in the study. There are very few studies that have examined the effect of central bank transparency on capital market turmoil. The effect of central bank transpar-ency on the domestic capital market has not been studied. There is no agreement in the literature on theoretical discussions on whether increasing central bank transparency affects capital market turmoil. In foreign research, we can also refer to the study of Dinser and Eichngreen (2007) who have studied this effect empirically using the main transparency index. The pre-sent systematic review shows that almost whole of papers on central bank transparency and capital market reaction highlighted similar findings con-cerning monetary policy decisions. Manuscript profile -
Open Access Article
14 - Application of meta-heuristic algorithms in portfolio optimization with capital market bubble conditions
Iman Mohammadi Hamzeh Mohammadi Khoshouei Arezo Aghaee chadeganiThe existence of bubbles in the market, especially the capital market, can be a factor in preventing the participation of investors in the capital market process and the correct allocation of financial resources for the economic development of the country. On the other MoreThe existence of bubbles in the market, especially the capital market, can be a factor in preventing the participation of investors in the capital market process and the correct allocation of financial resources for the economic development of the country. On the other hand, due to the goal of investors in achieving a portfolio of high returns with the least amount of risk, the need to pay attention to these markets increases. In this research, with the aim of maximizing return and minimizing investment risk, an attempt has been made to form an optimal portfolio in conditions where the capital market has a price bubble. According to the purpose, the research is of applied type, and in terms of data, quantitative and post-event, and in terms of type of analysis, it is of descriptive-correlation type. In order to identify the months with bubbles in the period from 2015 to 2021 in the Tehran Stock Exchange market, sequence tests and skewness and kurtosis tests were used. After identifying periods with bubbles, the meta-heuristic algorithms were used to optimize the portfolio. The results indicate the identification of 14 periods with price bubbles in the period under study. Also, in portfolio optimization, selected stock portfolios with maximum returns and minimum risk are formed. This research will be a guide for investors in identifying bubble courses and how to form an optimal portfolio in these conditions. Manuscript profile -
Open Access Article
15 - Providing the optimal model for stock selection based on momentum, reverse and hybrid trading strategies
Seyed Saadat Hosseini Asgar Pakmaram Nader Rezaei Rasol AbdiMomentum strategy, despite its outstanding performance, offers different results at different time intervals. In this study, we aimed to provide an opti-mal model for stock selection based on momentum, reverse and hybrid trad-ing strategies using the data panel model. T MoreMomentum strategy, despite its outstanding performance, offers different results at different time intervals. In this study, we aimed to provide an opti-mal model for stock selection based on momentum, reverse and hybrid trad-ing strategies using the data panel model. The present research method was applied on the information of 180 companies in the period 2011 to 2021 was used to estimate the model. (Eviews12) software has been used to estimate the models. Based on the results of 8 time periods of 3, 6, 9, 12, 24, 36, 48 and 60 months based on different momentum and inverse strategies and a combination of loser, winner and loser-winner, winner-loser were analyzed. According to the data panel method, the studied strategies in small companies give more additional returns to investors than large companies. Also, based on the results of hybrid strategies, investors will receive more additional returns in the long run than simple momentum strategies. Manuscript profile -
Open Access Article
16 - Predicting Social Responsibility Reporting using Financial Ratios
Mohammad Javad Zare Bahnamiri mahsa golkar niloofar BeikyThe purpose of this research is to investigate the prediction of corporate social responsibility reporting using financial ratios. To answer the research question, four prediction models of linear regression, K Nearest Neighbor, decision tree, and deep learning were inv MoreThe purpose of this research is to investigate the prediction of corporate social responsibility reporting using financial ratios. To answer the research question, four prediction models of linear regression, K Nearest Neighbor, decision tree, and deep learning were investigated. Also, 61 financial ratios were used according to previous research using data related to listed and non-listed companies of Iran from the years 2012 to 2018. According to the re-sults obtained from the estimation of each of the proposed prediction mod-els, it can be stated that the k-nearest neighbor model has the lowest RMSE value, and in fact, this model predicts the amount of social responsibility with less error than other models. The linear regression model with the high-est RMSE value has a weaker performance than other models. LSTM model and decision tree respectively had the lowest RMSE value after the k-nearest neighbor model. As a result, since the LSTM model requires a large number of test sam-ples for deeper learning, it could not achieve high performance in the evaluated data set. Based on the investigations, it can be stated that the current research does not have a similar example inside or outside of Iran. Manuscript profile -
Open Access Article
17 - Applying the ELECTRE Method to Determine the Effects of Calendar Anomalies on the Index Returns of Banks Listed on the Tehran Stock Exchange
sahand Vahabi Bahareh Banitalebi DehkordiIn today's world, financial markets, as the main arteries of any country's economic system, have created an attractive environment for investors, and therefore it is necessary to identify the behavior of investors in this space and variables affecting prices and stock r MoreIn today's world, financial markets, as the main arteries of any country's economic system, have created an attractive environment for investors, and therefore it is necessary to identify the behavior of investors in this space and variables affecting prices and stock returns in these markets. The purpose of this study is to use the method of random dominance analysis and electrification technique as a new method in financial research to investigate the effect of calendar anomalies on the index returns of banks listed on the Tehran Stock Exchange in the period 2016-2020. Findings show that according to the three main hypotheses that there is a significant difference between the returns of the banking industry index on Saturdays to Wednesdays, in the first, second, third and fourth weeks of each month and in the months of April to March based on accuracy Market efficiency assumptions were formulated, all three hypotheses were rejected. It was also found that Wednesdays and the second weeks of each month are the best time to invest in the banking sector. In addition, June is the best and March is the most unsuitable month of the year to invest in this field. Manuscript profile -
Open Access Article
18 - Jump Identification as a Proxy of Information Shocks, In Tehran Stock Exchange.
Hadis Taghaddosi Farimah Mokhatab Rafiei Ali Husseinzadeh KashanUsing jumps in stock prices as a proxy for information shocks to examine investors' reactions to significant events is the most effective method for identifying information shocks. Compared to other studies, this method has advantages listed at the end of the liter MoreUsing jumps in stock prices as a proxy for information shocks to examine investors' reactions to significant events is the most effective method for identifying information shocks. Compared to other studies, this method has advantages listed at the end of the literature review. We provide evidence consistent with short-term overreaction on the Tehran Stock Exchange. Thus, through the contrarian investment strategy, i.e., buying stocks with negative lagged jump returns and selling those with positive lagged jump returns, earn significantly positive returns over the next one- to three-month horizons. This research analyzed the adjusted daily closing prices of the top thirty stocks on the Tehran Stock Exchange in terms of market value and turnover during 2013-2020. Manuscript profile -
Open Access Article
19 - Visualized Portfolio Optimization of stock market: Case of TSE
Fatemeh Lakzaie Alireza Bahiraie saeed mohammadianAn investment portfolio is a collection of financial assets consisting of investment tools such as stocks, bonds, and bank deposits, among others, which are held by a person or a group of persons. In this research, we use the Markowitz model to optimize the stock portfo MoreAn investment portfolio is a collection of financial assets consisting of investment tools such as stocks, bonds, and bank deposits, among others, which are held by a person or a group of persons. In this research, we use the Markowitz model to optimize the stock portfolio and identify the minimum spanning tree (MST) structure in the portfolio consisting of 50 stocks traded in the TSE. The observable which is used to detect the minimum spanning tree (MST) of the stocks of a given portfolio is the synchronous correlation coefficient of the daily difference of logarithm of closure price of stocks. The correlation coefficient is calculated between all the possible pairs of stocks present in the portfolio in a given time course. The goal of the present study is to obtain the taxonomy of a portfolio of stocks traded in the TSE by using the information of time series of stock prices only. In this research, report results obtained by investigating the portfolio of the stocks used to compute 50 stocks of the Iran Stock Exchange in the time period from January 2012 to October 2022. Manuscript profile -
Open Access Article
20 - Option pricing with artificial neural network in a time dependent market
Mehran Araghi Elham Dastranj Abdolmajid Abdolbaghi Ataabadi Hossein Sahebi FardIn 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 ar MoreIn 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. Manuscript profile
-
The rights to this website are owned by the Raimag Press Management System.
Copyright © 2021-2024