Financial Economics
Vahid Taghinezhadomran; Zahra Mila Elmi; Fatemeh Zahra Husseinpor
Abstract
Banks have a considerable ability to use financial leverage compared to non-bank firms to earn high profits and returns with support of the central bank as a last resort lender. The ability of banks to use leverage depends on internal characteristics such as size, profitability and risk, as well as environmental ...
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Banks have a considerable ability to use financial leverage compared to non-bank firms to earn high profits and returns with support of the central bank as a last resort lender. The ability of banks to use leverage depends on internal characteristics such as size, profitability and risk, as well as environmental variables such as inflation, which affect the Business cycle. This study aims to find the effects of these variables on the dependency of banks on financial leverage in recession and booms periods. To this end, Hodrick-Prescott filter was used to extract business cycles. The Generalized Method of Moments (GMM) based on the data from 18 Iranian banks during 2005-2018 was used in order to test the research hypotheses. The results show that larger banks are more inclined to leverage and economic conditions have no significant effect on this desire. Banks with better financial stability and less risk rely on lower financial leverage in times of economic prosperity. The effect of profitability criteria on the leverage of banks depends on economic conditions. In times of economic prosperity, banks with better profitability have a higher incentive to leverage. Also, how the inflation affects the financial leverage of banks depends on the economic conditions. During an economic boom, inflation encourages more reliance on leverage in banks.
Reza Yousefi Hajiabad; Zohreh Hooshmand; Maryam Khoshnevis
Abstract
The main purpose of this paper is to investigate the interaction effects of risk, capitalization and inefficiency in Iran's banking system. For this purpose, combined data of commercial and private banks of Iran in years (1999-2012), were collected and analyzed using simultaneous equation approach and ...
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The main purpose of this paper is to investigate the interaction effects of risk, capitalization and inefficiency in Iran's banking system. For this purpose, combined data of commercial and private banks of Iran in years (1999-2012), were collected and analyzed using simultaneous equation approach and fixed effects two-stage least squares (FE2SLS), The results confirm the belief that these three variables are simultaneously determined. The results indicate that relationship between inefficiency with quality of loans is significant and positive. Capitalization and loan growth have positive effect on inefficiency. Capital accumulation will decrease quality loans. Capital accumulation also has negative effects on the quality of banking risk indicator.On the other hand ,due to the inefficiency of the banking system's cost and return on assets on capital accumulation, banks that aren't in a good position in terms of performance, are not in a right position in terms of equipping and capital accumulation either.
Mohammad Naghi Nazarpour; Majid Habibian Naghibi; Hossein Kafshgar Jelodar
Volume 19, Issue 59 , July 2014, , Pages 181-153
Abstract
Economic development in Islamic countries, emergence of new needs for financial resources and economic development, relative achievement in Islamic investment market, and the necessity of preventing riba have compelled Muslim scholars to design new Islamic financial instruments. Capabilities of Islamic ...
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Economic development in Islamic countries, emergence of new needs for financial resources and economic development, relative achievement in Islamic investment market, and the necessity of preventing riba have compelled Muslim scholars to design new Islamic financial instruments. Capabilities of Islamic contracts and the accumulation of experience in financial markets have made designing and administrating new Islamic financial instruments possible. Besides the necessity of designing new Islamic financial instruments and specialized jurisprudential investigation on sukuk to answer the increasing number of questions and meet the needs of investors, another issue should be also addressed, which is that of risk management. It must be considered in designing new Islamic financial instruments. The role of risk in this new financial instrument should not be overlooked. That is, all the risks of the bonds should be identified and ranked. This paper is an attempt in ranking morabeheh sukuk risks using simple additive weighting (SAW) method and the technique for order preference by similarity to an ideal solution (TOPSIS).Using library resources, it was made possible to describe this instrument. Based on the risk rankings, inflation risk is the most important one among all primary and secondary market risks. Other risks, such as political, interest rates, and market risks as well as currency rate fluctuations are considered secondary. In other words, the risks of secondary market are more important, compared with those of the primary market. This paper investigated the validity of two hypotheses: (1) It is possible to rank the risks of morabehe sukuk, and (2) that bonds with fixed returns, such as murabaha are less risky, compared to the bonds with expected returns.
mirhossein mousavi; Hossein Raghfar; Mansooreh Mohseni
Volume 18, Issue 54 , April 2013, , Pages 119-152
Abstract
The traditional approaches for estimating VAR assume that the joint distribution is well-known and the most commonly used normality of the joint distribution of the assets return. In reality, the financial asset return distribution has fatter tails than normal distributions. On the other hand, the use ...
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The traditional approaches for estimating VAR assume that the joint distribution is well-known and the most commonly used normality of the joint distribution of the assets return. In reality, the financial asset return distribution has fatter tails than normal distributions. On the other hand, the use of linear correlation to model the dependence structure shows many disadvantages. Therefore, the problem raised from normality could lead to an inadequate VaR estimate. In order to overcome these problems, this paper resorts to the copula theory which allows the joint distribution of the portfolio to be free from any normality and linear correlation. Combining copula and the forecast function of the GARCH model, this paper proposes a new method, called conditional copula-GARCH, to compute the VaR of portfolios. Examined data in this study includes daily price of selected portfolio, composed of 17 equities for 1082 days in Tehran stock exchange. Presented model compared with traditional methods (including the historical simulation method & variance_covariance method). the results show that conditional copula-GARCH model captures the VaR more successfully at 95% confidence.
Hassan Sobhani; Majid Habibian Nagibi
Volume 17, Issue 52 , October 2012, , Pages 115-141
Abstract
Risk and benefit are key concepts of capital market. This issue has been studied sufficiently in various models of the conventional literature, with all its advantages and disadvantages. Islamic capital market often faces with new instrument. Thus, risk management in its discussions suffers from noticeable ...
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Risk and benefit are key concepts of capital market. This issue has been studied sufficiently in various models of the conventional literature, with all its advantages and disadvantages. Islamic capital market often faces with new instrument. Thus, risk management in its discussions suffers from noticeable poverty. Sukuk Manfe'ah (benefit securities) is one of the latest instruments for Islamic capital market. This paper assumes the readers are familiar with the nature of sukuk manfe'ah (benefit securities), so it explains the risks in this market and the sides who take that. Then this paper tries to analysis the risk and the benefit of the sukuk manfe'ah (benefit securities) according to the capital asset pricing model (CAPM). Undoubtedly, the main role of this paper in knowkedge production, is to use the capital asset pricing model (CAPM) in Islamic capital market, which so far is unprecedented.
Abbas Rezaei Pandari; Adel Azar; Alireza Rayati Shavazi
Volume 16, Issue 48 , October 2011, , Pages 109-134
Abstract
Generally, investors consider simultaneously conflicting objectives such as rate of return, risk and liquidity in portfolio selection. On the other hand, every investor has his own specific preferences about objectives. Therefore, we can use Multi Objective Decion Making (MODM) techniques in order to ...
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Generally, investors consider simultaneously conflicting objectives such as rate of return, risk and liquidity in portfolio selection. On the other hand, every investor has his own specific preferences about objectives. Therefore, we can use Multi Objective Decion Making (MODM) techniques in order to solve portfolio selection problem. The Studies shows that a MODM technique by nonlinear goals such as minimization of nonsystematic risk and skewness maximization isn’t employed for portfolio selection, so a new approach is applied. We employ MODM model to select a best portfolio in 50 superior companies in Tehran stock exchange with regards to optimization objectives of return, systematic risk, nonsystematic risk, skewness, liquidity and sharp ratio. This model is non-convexed, so operational research algorithms can not find the best solution; therefore we use Genetic Algorithms (GA) for achieving nonlinear multi-objective model. In the end, the result of GA is comprised with Markwitz classic model and goal programming (containing linear and nonlinear objectives). The comparison indicates that although return of the portfolio of GA model is less than the other models, but GA has the best results in decreasing risk criteria which completely cover the return and lead to best results. The other advantage of using GA is a higher diversification in its proposed portfolio in comparison with other models.
Rahim Goodarzi; Masode Homaionyfar
Volume 10, Issue 34 , April 2008, , Pages 125-144
Abstract
The purpose of this paper is twofold. The first aim is to illustrate the relationship between game theory and linear programming. The other aim is to apply game theory to field crops. We have used the main field crops (wheat, barley, paddy, maize, chickpea, lentil ,cotton and potato) in Province of Fars. ...
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The purpose of this paper is twofold. The first aim is to illustrate the relationship between game theory and linear programming. The other aim is to apply game theory to field crops. We have used the main field crops (wheat, barley, paddy, maize, chickpea, lentil ,cotton and potato) in Province of Fars. The data included time series of gross product values of the investigated crops for the period 1362-1382. The Wald decision-making criterion was applied to the game theory model to determine the highest income under the worst conditions. The results of the model indicate that potato and paddy were the most risky crops for the the period of study. As potato and paddy provide the highest expected income under the worst conditions these crops enter the optimum plan. Furthermore, these two crops have the highest variation coefficients compared to the other crops. It is concluded that the game theory model can be used to select alternative management strategies.
