Multi-Attribute Decision Making
Seyed Fakhreddin Fakhrhosseini; Meysam Kaviani
Abstract
Purpose: The main objective of this study is to rank methods of improving debt-asset management at branches of Bank Sepah in Tehran.Methodology: Questionnaires were the tool to collect data, and statistical sample is 146 managers and experts of Bank Sepah in Tehran that have been selected by the simple ...
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Purpose: The main objective of this study is to rank methods of improving debt-asset management at branches of Bank Sepah in Tehran.Methodology: Questionnaires were the tool to collect data, and statistical sample is 146 managers and experts of Bank Sepah in Tehran that have been selected by the simple random sampling method. In this study, by using Multiple Criteria Decision-Making (MCDM) techniques of fuzzy TOPSIS, we have ranked the goals of debt asset management in Bank Sepah.Findings: Based on the results, among the main criteria for Asset and Liability Management (ALM) goals, “the risk management of interest rate” with a weight of 3. 83 is at the first priority, then the “maintenance of adequate capital” with a weight of 3. 67 is in the second place and then “liquidity risk management” with a weight of 3. 41 is in the third priority. Also, according to Friedman test results؛ there are differences between the achievements for each of the major debt-asset management in Bank Sepah in Tehran.Originality/Value: This study is a mixed method (Delphi (qualitative) and survey (quantitative)) in terms of performance and in terms of data collection. By using MCDM techniques, we have ranked the major objectives of asset-debt management in Bank Sepah. In addition, the results could be used in the planning process of banks and financial institutions.
Financial modeling
Meisam Kaviani
Abstract
The present research is aimed at predicting the beta coefficient (systematic risk) prediction dynamics within the framework of two macroeconomic structural models, the model in the context of dynamic stochastic general equilibrium (DSGE) and Panel Vector Autoregressive (PVAR) with the inclusion of financial ...
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The present research is aimed at predicting the beta coefficient (systematic risk) prediction dynamics within the framework of two macroeconomic structural models, the model in the context of dynamic stochastic general equilibrium (DSGE) and Panel Vector Autoregressive (PVAR) with the inclusion of financial data of companies and Some of the facts observed in the Iranian economy during the 15-year period (2002-2016). The results of the research show that economic shocks affect the beta coefficient of the stock. Also, in three approaches to predict stock beta coefficient, the VAR model has a lower error than the DSGE model. Finally, by comparing the moments of the present variables in the DSGE model and the real data of Iran's real moments, it shows the relative success of this model in the realities of Iran's economy.
Financial modeling
Meysam Kaviani; Seyed Fakhreddin Fakhrehosseini
Abstract
This article shows that Operations research techniques play an important role in the development researches of financial and investment, and in recent years, with significant improvements in terms of the availability of real-time data and the speed of computer, this role has increased and in line with ...
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This article shows that Operations research techniques play an important role in the development researches of financial and investment, and in recent years, with significant improvements in terms of the availability of real-time data and the speed of computer, this role has increased and in line with it by creating more opportunities for these techniques, more importance has been given to research and output. Given the importance of the issue today, there is a two-way relationship between financial concepts and investment with operational research techniques, that is, as various techniques of research in operations for financial affairs have been used, financial theories also require the development and improvement of solution Operations research techniques.The present paper shows that depending on the type of decision making in the field of finance and investment through research results, these techniques, in addition to raising the accuracy of the results of financial research, can lead to a greater variety of research, especially for the fields Financial engineering.