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Salehi, Mahdi
- Effective Components on the Forecast of Companies' Dividends using Hybrid Neural Network and Binary Algorithm Model
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Authors
Affiliations
1 Department of Accounting, Ferdowsi University of Mashhad, IR
2 Department of Accounting, Science and Research of Hormozgan Branch, Islamic Azad University, Hormozgan, IR
1 Department of Accounting, Ferdowsi University of Mashhad, IR
2 Department of Accounting, Science and Research of Hormozgan Branch, Islamic Azad University, Hormozgan, IR
Source
Indian Journal of Science and Technology, Vol 5, No 9 (2012), Pagination: 3321-3327Abstract
The issue of accounting profit has been noticed from long time by investors, managers, financial analysts and creditors. Due to the importance of dividend per share is disclosed by companies and the role of dividend in decisions and because the most important source of information for investors and managers and other users in the stock, is the forecasted dividend by companies, this study follows to recognize the affecting factors on 23 chemical companies in the Tehran Stock Exchange dividend using genetic algorithms combined with artificial neural network. Finally, the variables affecting the output are used to predict dividends in the model that is by neural network designed. The error is calculated and be the basis of comparison with other methods. The study included chemical companies accepted in Tehran Stock Exchange during 2006-2010. The independent variables in this study are accounting ratios and stock cash dividend is dependent variable.Keywords
Prediction, Dividends, Neural Network, Binary AlgorithmFull Text
References
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- Jahankhani A and Ghorbani S (2006) Identifying and explaining affecting factors on the dividend policy in adopted companies on the Tehran stock exchange. Finan. Res. 20, 27-84.
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- Makvandi P, Jasbi A and Alavi H (2008) Selecting influencing elements on forecast of future stock dividends using a combination of genetic algorithms and neural networks. Econ. Res. 5(10), 163-201.
- Mashayekh Sh and Shahrokhi Samane (2007) Evaluation of accuracy of dividends forecasts by management and its influencing factors. Studies of Accoun. & Auditing. 14(50), 80-65.
- Nikbakht MR and Sharifi M (2010) Prediction of financial bankruptcy in the Tehran stock exchange companies using artificial neural network. Indust. Manage. 2 (4), 163- 180.
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- Sarebanha MR and Ashtab A (2008) Identifying influencing factors on dividends forecast errors of newly accepted companies at the Tehran stock exchange. J. Soc. & Human Sci., Econ. Sci., 60, 28-63.
- Savov S and Weber M (2006) Fundamentals or market movements: What drives the dividend decision? Working paper; available at: www.ssrn.com.
- Prediction of Financial Distress in Tehran Stock Exchange Using DEA Approach
Abstract Views :454 |
PDF Views:120
Authors
Affiliations
1 Department of Economics and Social Science, Payam-e-Noor University, Pobox 19395-4697, Tehran, IR
2 Department of Accounting, Ferdowsi University of Mashhad, Mashhad, IR
1 Department of Economics and Social Science, Payam-e-Noor University, Pobox 19395-4697, Tehran, IR
2 Department of Accounting, Ferdowsi University of Mashhad, Mashhad, IR
Source
Indian Journal of Science and Technology, Vol 5, No 10 (2012), Pagination: 3461-3473Abstract
Data Envelopment Analysis (DEA) is employed as a tool to evaluate the efficiency score of Tehran Stock Exchange. For predicting financial distress, it is designed and tested a model base on efficiency score. Its accuracy was verified by employing another model designed by financial ratios and variables based on Multivariate Discriminant Analysis (MDA). Ultimately, to investigate the effectiveness of firm's efficiency score on financial distress prediction, its score combined with financial ratios is entered in an MDA model. The results show that all the three proposed models, in this paper, have better ability of predicting financial distress in Tehran Stock Exchange for two years prior to its occurrence. It implies that, DEA efficiency score is an effective predictor variable.Keywords
Efficiency Score, Data Envelopment Analysis, Financial Distress, Tehran Stock ExchangeFull Text
References
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- The Study of Factors Affecting the Quality of Audit Committee
Abstract Views :329 |
PDF Views:0
Authors
Affiliations
1 Ferdowsi University of Mashhad, IR
2 Arak Branch, Islamic Azad University, Arak, IR
1 Ferdowsi University of Mashhad, IR
2 Arak Branch, Islamic Azad University, Arak, IR
Source
Indian Journal of Education and Information Management, Vol 1, No 8 (2012), Pagination: 306-313Abstract
The expansion of private ownership scope, through privatization of state owned enterprises and decentralization has increased the attention towards the capital owners' interests to strengthen accountability culture and to promote the information transparency of companies and other economic units in which all or a part of capital is supplied by the public. This aims to require mechanisms to ensure the proper governance in companies and other economic firms. Corporate governance has particular elements. Audit committee is a key element of corporate governance that strengthens the health of financial reporting. In the current study it is attempted to examine factors affecting the quality of the audit committee. The research sample includes all financial managers or board members of listed companies in the Tehran stock exchange in which the final sample consists of financial managers or board members of 185 listed companies. The research results indicate that the enhancement in independency, expertise and activities of non-executive members of board increases independency, expertise and activities of the audit committee and also there is a meaningful relationship between the size of non-executive members of board and the size of the audit committee.Keywords
Audit Committee, Board of Directors, Executive Members of Board of Directors and Non-executive Members of Board of DirectorsFull Text
References
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- Analysis of Risk and Return on Investment of Local Entrepreneurs in Iran
Abstract Views :179 |
PDF Views:0
Authors
Affiliations
1 Geography and Rural Planning, Ferdowsi University of Mashhad, IR
2 Accounting, Ferdowsi University of Mashhad, Mashhad
1 Geography and Rural Planning, Ferdowsi University of Mashhad, IR
2 Accounting, Ferdowsi University of Mashhad, Mashhad
Source
Journal of Rural Development, Vol 37, No 3 (2018), Pagination: 539-564Abstract
The purpose of this study is to analyse the risk and return on investment of local entrepreneurs in Iran because investment in any activity is associated with variables such as risk and return. This issue reveals the importance of entrepreneurship in rural areas. Investigating and controlling risk and return on investment in small entrepreneurial activities is one of the issues which improves returns and reduces the investment risk. For this purpose, descriptive-analytic research method is used to collect field data among 5770 entrepreneurial businesses in rural areas of Mashhad in Iran in 2015. The results showed that return on investment of sample entrepreneurs in rural areas is smaller than the average. That’s why, in most cases, entrepreneurs are not willing to use rural environments for investment and they often try to establish businesses in urban environments or around the city because of lower investment risk and easier access to public services, governmental support and sales market.Keywords
Investment Risk, Return on Investment, Small and Medium-Sized Entrepreneurial Activity, Factor Analysis.
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