Original Research Paper
A. Rezazadeh; T. Shokri; M. Imanzadeh; S. Khodaverdizadeh
Abstract
In today's world, life insurance is one of the most important economic tools and it has many uses, and it plays the most important role in providing and guaranteeing the future of families. In this regard, the aim of the present study is to investigate the threshold effect of the real GDP on the per ...
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In today's world, life insurance is one of the most important economic tools and it has many uses, and it plays the most important role in providing and guaranteeing the future of families. In this regard, the aim of the present study is to investigate the threshold effect of the real GDP on the per capita life insurance premium of Iran during the years 1360-1394 and using the non-linear approach of soft transfer regression. The results of the research indicate that the third break of the real GDP in the form of a three-regime structure has affected the per capita life insurance premium. Also, the real GDP has had a negative effect on the per capita life insurance in the marginal regimes and a positive effect in the middle regime. Other results of the study indicate that the savings rate variables and the financial development index in the marginal and middle regimes have led to an improvement in the per capita life insurance premium.
Original Research Paper
M. Kaviani; M. Hamidian; S. Boostani
Abstract
The purpose of this article is to evaluate the impact of corporate governance mechanisms on efficiency based on the data coverage analysis model in Iran's insurance industry. First, by using the data coverage analysis approach, the efficiency of the companies is determined through the input variables ...
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The purpose of this article is to evaluate the impact of corporate governance mechanisms on efficiency based on the data coverage analysis model in Iran's insurance industry. First, by using the data coverage analysis approach, the efficiency of the companies is determined through the input variables (operating and administrative workforce, shareholders' capital, and administrative and general expenses) and output (cost of incurred damages and intermediary costs) and then by calculating the mechanisms Corporate governance and the effect of each of these mechanisms on the efficiency of the insurance industry has been studied through the self-regulation regression method. In this article, 14 companies have been selected by the systematic elimination method, and their efficiency was determined using the Anderson and Peterson method. According to the information obtained from the average efficiency score of the companies in the six-year period (1389-1394), we have seen fluctuations in the efficiency of this industry, and the findings of the research also indicate that corporate governance has had an impact on the efficiency of these companies, and among the governance mechanisms Corporate, board size, board independence and financial expertise have had a positive and significant effect on the efficiency of the insurance industry.
Original Research Paper
M. Akbari; M. R. Ramezanian; M. Qasemi Shams; H.R. Rasooli
Abstract
Fraud is one of the most important threats that insurance companies face today. The purpose of this research is to investigate the effect of customer dissatisfaction on their fraud level by moderating the level of Machiavellianism of customers. The statistical population of the current research consisted ...
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Fraud is one of the most important threats that insurance companies face today. The purpose of this research is to investigate the effect of customer dissatisfaction on their fraud level by moderating the level of Machiavellianism of customers. The statistical population of the current research consisted of all the customers of an insurance company in Gilan province, whose total number was considered to be between 40 and 50 thousand customers, and using Cochran's formula, a sample size of 400 customers was determined, and the questionnaire was non-probably Access was distributed among them. This research is applied in terms of research directions, descriptive in terms of research goals, survey in terms of research strategies, and questionnaire in terms of data collection methods. In the end, the results of SPSS and Smart PLS software indicated that customer dissatisfaction with compensation increases the scope of fraud. Also, Machiavellianism moderates the relationship between customer dissatisfaction and insurance customer fraud.
Original Research Paper
M. Zokai; M.R. KordBagheri; A.R. KordBagheri
Abstract
Financial wealth is one of the important topics in risk management of financial institutions, especially insurance companies. In examining financial wealth, technical reserves are one of the most important parts and elements that have always been emphasized and addressed in laws and regulations. The ...
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Financial wealth is one of the important topics in risk management of financial institutions, especially insurance companies. In examining financial wealth, technical reserves are one of the most important parts and elements that have always been emphasized and addressed in laws and regulations. The purpose of this article is to model non-life insurance risks based on the actuarial approach in a multi-year context. There are different points of view in the time review of non-life insurance risks. In traditional methods, only the final point of view was considered; This means that uncertainty was determined from the risk to the final settlement. Recently, based on financial wealth, these risks should be evaluated and specified in a one-year perspective. Insurance companies need to review risks in the next few years for better risk management, especially in economic decisions. To model the risks, we use the collective loss random storage method, which is one of the actuarial methods, and a set of analytical formulas are presented based on it to calculate the multi-year non-life insurance risk. The risk of non-life insurance consists of the sum of the two risks of reserve (settlement of pending claim) and premium (settlement of future claim). Using the numerical example related to the third-party insurance policy, we estimate the non-life risks in one-year, final and multi-year time horizons.
Original Research Paper
M. Safari
Abstract
Pension systems are among the most important means of responding to the responsibility of providing and guaranteeing the minimum standard of living for the elderly. Therefore, with the aim of providing some kind of security to guarantee the minimum standard of living of the people, the governments have ...
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Pension systems are among the most important means of responding to the responsibility of providing and guaranteeing the minimum standard of living for the elderly. Therefore, with the aim of providing some kind of security to guarantee the minimum standard of living of the people, the governments have obliged themselves to formulate the design of pension funds. This is despite the fact that in recent years, government pension schemes have faced huge challenges in most parts of the world. These plans, which often provide coverage of certain benefits, have created major debts for the governments and therefore have made thinkers think about reforming the pension systems. One of the suitable alternatives used in the world is the use of combined private pension plans. These plans are more efficient due to their special features such as good governance, competitiveness and the possibility of risk-based monitoring. The current research deals with the financial feasibility of implementing these plans. For this reason, by using the fuzzy mapping method, the effective factors on the stability of combined retirement plans were calculated and the effect of each factor was determined. Then, using system dynamics methodology, the research model was simulated and tested. The twenty-year simulation results indicate the unsustainability of plans with defined benefits, while in combined pension plans, the net cash flow of the plan during the studied years was not only negative, but also had an increasing trend.
Original Research Paper
M. Hasan Shahi
Abstract
The purpose of this study is to investigate the effective factors, determine their direction and how each factor affects the probability of a person being placed in different levels of medical insurance demand, in this regard, from the generalized cumulative logit model, information of 289 households, ...
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The purpose of this study is to investigate the effective factors, determine their direction and how each factor affects the probability of a person being placed in different levels of medical insurance demand, in this regard, from the generalized cumulative logit model, information of 289 households, public health questionnaire, risk-Madsij questionnaire, The financial risk tolerance questionnaire, the standard questionnaire of the five dimensions of the quality of medical services and the researcher-made questionnaire were used. The results of the model validity tests, including goodness of fit, parallel regressions and maximum likelihood method-Newton-Raphson algorithm, indicate the validity of the model up to 84% confidence, according to the results of people who were healthier at birth, insurance is less desirable for them and therefore the probability of their occurrence At lower levels, the demand for health insurance increases. With increasing age, the probability of contracting a disease and the possibility of increasing the demand for health insurance increases. As treatment costs increase, the utility of insurance will increase. People who pay more attention to their health have more demand for health insurance. With the increase in the level of literacy, the individual's understanding and understanding of the value of health will be improved and will make treatment insurance more desirable. Increasing a person's level of awareness of the negative consequences of the disease (positive health) increases the final utility of health and, as a result, the demand for insurance. Increasing the financial risk of illness, horizontal and vertical insurance coverage increases insurance satisfaction. According to the results of the neural network model, financial risk variables, insurance premiums and medical expenses have the most influence and beliefs and health savings have the least effect on medical insurance demand. This means that financial risk, insurance premiums and medical expenses are very effective in people's decision to buy insurance.
