Insurance linked securities as a financial derivative are one of the common tools in the financial economy that risk management specialists in the Insurance Industry use with the purpose of financing and transferring risk to the capital market. Nevertheless, despite the fact that these bonds have been in use in the global financial markets for more than 30 years, in Iran, due to the lack of infrastructure, some ambiguities in interpretation, the complex and technical nature of Insurance operations, and as a result The complexity of ILS bonds, this financial instrument has not been used in the Insurance Industry. On the other hand, with the start of sanctions on the Insurance Industry since 2009 and the withdrawal of brokers and reinsurers from the country's Insurance Industry, it was not possible to transfer large and catastrophic risks outside the geographical borders of Iran, and this risk accumulation In the country, the risk of bankruptcy of Insurance companies has increased in the event of a major and catastrophic accident. Based on this, in this article, using Markov-switching approaches, value at risk (VAR) and scenario building, the design of excess damage coefficient bonds as one of the types of ILS bonds in the field of fire and It has been paid in the country's Insurance Industry. Based on the findings of this study, it can be said that the papers designed in this study meet three conditions; Guaranteeing the principal of the buyers of ILS bonds (with the aim of solving the jurisprudential problem), the expected return higher than the risk-free return rate in the market, as well as the attractive premium rate (proportion between the commitment limit and the premium rate), can be the basis for issuing these bonds in provide Iran's capital market.

In this paper we consider deregulation as an effective ingredient for Insurance companies' organizational structure when organizational structure is intended as a dependent variable. Our fmdings here is based on the views of 168 executives and assistants in central branches of private Insurance companies in Tehran, with at least 5 years experience in Insurance Industry. These data were analyzed using covariance structure (structural equations modeling) and confirmatory factor analysis with parametric tests to compare group correlations. The results indicated that after deregulation, Insurance companies' organizational structure will change and formalization, centralization becomes more focused. In fact, after deregulation, msurance companies' organizational structure will be more automated.

In this paper, we used the models based on Panel Data to determine the factors that affecting demand for supplementary health Insurance in Iran. For this purpose, statistics and information about the provinces has been gathered during the period of 1380-1387. The result of Hausman test confirms the compatibility of estimation which based on fixed effects regression model (FEM). According to the results, the per capita income, health expenditures per capita and inflation rate are the most important factors that determining the demand for this branch of Insurance.The income elasticity of demand for the supplemental health Insurance has been estimated 0.83 that shows this product is a necessary good in the consumption basket of households. Also, the demand elasticity of health expenditures and inflation calculated 0.1 and 0.23 respectively which indicates low elasticity of demand on these variable. In fact, increase in family income plays more fundamental role in the development of health Insurance.

The life of issuance of Insurance linked securities (ILS) in the world has been around for decades. The most famous of these securities is Catastrophe Bond or CAT BOND which has been widely advertised by Insurance companies and reInsurance companies over the past few decades. With a quick look at the history of these securities, we find that most of these securities have been published in disaster-prone countries, including the United States and Japan. In this research, while reviewing the conventional global models, the possibility of publishing these securities by Insurance companies in Iran has been investigated. According to investigations carried out in Iran as an accident-prone country, we find that Insurance companies and reInsurance companies because of their limited amount of capital to pay for their obligations and damages caused by natural disasters, can use this method to issue Insurance linked securities (ILS). In this study, it has been shown that, in regard to good capacities of Iranian capital market and the active pillars in issuance of fixed income securities, as well as the need of Insurance Industry to reach new markets for financing and risk transferring, it is possible to design and issue Catastrophe Bond.

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Traditional approach to the firm size and its growth rate is based on comparative statics analysis and it does not really deal with the dynamics of growth. This paper takes a dynamic approach to investigate the relationship between firm size and its growth rate for Iranian Insurance firms during 2003-2009. The study applies two ways to verify the validity of Gibrat’s law in Iranian Insurance Industry. First way is to consider the independence of two important attributes of firms including firm size and growth rates. The second way is based on panel regression estimation. The results of the study reject the validity of Gibrat’s law and indicate the fact that small firms grow faster than their larger counterparts.

This is a needs assessment study that aimed to develop an integrated model for Insurance Industry employees. The model was supposed to overcome shortcomings involved in needs assessment including costly and time-consuming processes and a lack of clarity in terms of tasks and administrative procedures. To this end, a company with 6 departments and 295 employees was approached. Initially, two models were combined to provide an integrated model for needs assessment. Then, job descriptions in various departments were considered along with required knowledge, attitude, and skills for each position. Data analysis revealed training needs of employees in different categories including instant, strategic, continuous, and neutral. Finally, the integrated model was revised and finalized based on findings.

One of the indicators of economic development of countries is the level of development of their Insurance Industry. In recent years, policymakers have focused on spreading financial technology especially in the Insurance sector as one of the pillars of the financial Industry and one of the key sectors of the economy. Today, the use of technology in the Insurance Industry to give more people access to financial services is increasingly considered so that start-up Insurance businesses or insurtechs have entered to the field of competition with traditional Insurance companies by creating unique value proposition and improving the business model. they lead to cost reduction, improved customer experience, new product launches and effective risk management Using artificial intelligence, machine learning, IoT, blockchain technologies and other new technologies. In this research, based on a systematic review of texts and reports of top global consulting groups, the macro trends of the Insurance Industry, the challenges of the Insurance Industry and solutions to solve these challenges have been studied. Findings showed that macro trends in the Insurance Industry include seven areas of customer-centricity, social and environmental changes, technological change and digitalization, fierce competition, the need for human capital and talent from other sectors, strategic partnership and cooperation, emerging new business models and key challenges include limited purchasing power, limited knowledge, low trust, poor communication and CRM, disproportionate products, poor distribution, and poor business models. In the following, solutions are provided for each of the challenges based on the stated trends.

This paper attempts to develop a method for readiness assessment of potential electronic commerce (e-commerce) success of Iran’s Insurance Industry. This method can expand in other industries. Key factors impacting e-commerce are identified from Wells, D. and Thomann, j. (2006) researches. This model is a two-dimension 3*4 matrix. Each dimension consists of variables that influence on Insurance industries readiness. These variables on horizontal dimension are: People Readiness, IT Readiness, and Business Readiness and on vertical dimension are: Business Imperative, Executive Sponsorship, Development Method and Business Process Orientation. Each cells of this matrix evaluated by 5 questions. This research’s data are collected via a 60-questions questionnaire-based survey from Iranian Insurance companies. At the end of the research, the Iranian Insurance companies were strongly recommended by us to invest on e-commerce and e-Insurance area.

This article studies the circumstances of motivational factor’s which has influence on brand selection. So, it tries to survey the efficient motives on selection of Insurance company by customer during his decision- marking process for buying Insurance. Due to the nature of research, the research method is descriptive and in terms of data collection, research method is surveying. Data was collected through questionnaire and sampling was done through classified random method. In order to answer research questions, 144 third party Insurance buyers of Insurance were selected as the statistical sample of this study. Results of research suggest that there is significant relationship between the motivational factors and selection of insurer.Also, factors such as transparency and honesty in informing brands, personal experience in using services of a brand, the brand’s reputation and word of mouth interaction with customers are dissatisfied insurer in order to select the most effective stimuli brands were expressed in the Insurance Industry.