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The purpose of this study is to analyze the market performance of non-life insurance companies registered in Borsa Istanbul (BIST) for the period 2013-2019 with a hybrid model consisting of integrated SV (Statistical Variance) and EDAS (Evaluation based on Distance from Average Solution) methods. The study covers the data of five insurance companies whose shares are traded on BIST. The SV method was employed to determine the importance weights of the market variables selected in the study, and the EDAS method was used to identify the performance scores of insurance companies. According to the results obtained from the SV method, the most important criterion affecting the performance of insurance companies is the market value added criterion in all years, except 2016. However, it was determined that the most ineffective criterion on performance during the analysis periods was Tobin's Q. In addition, according to EDAS ranking results, Anadolu Sigorta is the company with the highest performance score, while Aksigorta is the lowest performing company. [ABSTRACT FROM AUTHOR]

In insurance industry, there has been an increasing demand for technology to detect risks, process claims and calculate premiums. Artificial intelligence is used for an efficient and rapid management of these processes via telematics, mobile applications and algorithms. Insurance companies benefiting from artificial intelligence to gather and interpret the data that may affect the risks related to insurance contract raises the question, whether the duty of pre-contractual disclosure and the scope of insurer's concerning knowledge shall be redefined. In this paper, the term of artificial intelligence, its use in insurance industry and legal consequences concerning Article 1438 of the Turkish Commercial Code are discussed. [ABSTRACT FROM AUTHOR]

The fact that the revenues and expenditures of local governments are not predictable interrupts the strategic planning process and affects financial autonomy negatively. In this context, how to make the expense budget predictable in local governments is an important problematic. The purpose of the study is to examine how convenient the Grey Prediction Method can be used in estimating the expense budgets of metropolitan municipalities. In this framework, the expenditure budget of the Istanbul Metropolitan Municipality (IMM) is analyzed for the 2021-2024 period. A two-stage pathway was followed in the study. First of all, it has been tested whether the results are consistent or not by applying the Grey Prediction Method to IMM's data between 2018-2020. At this stage, the deviation rate was determined as 1.88%, indicating that the method is valid and reliable. As a matter of fact, considering that the deviation rate between the current estimates made by IMM and the actual figures is at a high level of 12%, the deviation rate of the study is at a reasonable level. Considering this determination, the second stage was passed and the method was applied again for expenditure-budget estimation for the period between 2021-2024. According to the findings obtained, the total expenditure budget of IMM is estimated as 29.492.566.776 TL for 2021, 33.321.097.278 TL for 2022, 37.646.622.359 TL for 2023 and 42.533.658.577 TL for 2024. [ABSTRACT FROM AUTHOR]

Life insurance protects individuals against their own risks and helps to increase their savings. Life insurance as a component of insurance business have part in maintaining economic growth of a country. Despite the fact that life insurance has importance for countries and individuals, it is known that developing countries show low life insurance consumption. Detecting life insurance determinants is important for explaining development of life insurance industry. The aim of the study is to detect economic, financial and demographic determinants of life insurance demand in Turkey. The literature includes Turkey in panel data or cross section samples with different countries. However, research which focus on Turkey in particular has beenshown limited attention. In this context, time series analysis was carried out on quarterly data between 2009-2019 periods. Determinants of the study are income, real interest rate, inflation, financial deepening, complexity of financial structure and population dependency ratio. As a result of model estimation, all variables were found to have significant effect. The income variable as an economic variable had positive effect. As expected, economic variables which are inflation and real interest rates negatively affects life insurance demand. It has been determined that financial deepening has a positive effect. The complexity of the financial structure factor was negative. Finally, the population dependency ratio, which is considered as a demographic variable, was not statistically significant. [ABSTRACT FROM AUTHOR]

Introduction: The study was performed to test the reliability and validity of the Turkish ver-sion of The Process of Retirement Planning Scale-PRePS (Noone, Stphens and Alpass, 2010) developed to measure employees' planning behaviors of preparation for the retirement years. Materials and Method: The study was conducted over a total of 216 participants who are working as academic and administrative staff at Karabuk University. The scale was made up of four subscales, namely the process of financial planning, lifestyle planning, psychosocial planning and health planning which attempt to measure the process of retirement planning behaviors of the employees. Besides The Process of Retirement Planning Scale-PRePS, to test the validity of the Turkish version of the scale, Future Time Perspective Scale and SF-36 quality of life scale were also administered to the participants. Results: The structural validity of the scale was investigated by factor analysis. The results of the factor analysis were composed of four subscales in accordance with the original form of the scale. The results indicated high convergent and criterion related validities. Reliability analyses showed that the Process of Retirement Planning Scale-PRePS had a high internal consistency (Cronbach Alpha 0.88) and high test-retest (0.86) and split half (0.87) reliability coefficients. Conclusion: The results of the factor analysis were compatible with the results of Noone, Stphens and Alpass's (2010). Based on these findings, it was concluded that the Turkish version of the PRePS had sufficiently high reliability and validity to justify its use as a tool to measure employees' retirement planning behaviors in Turkey. [ABSTRACT FROM AUTHOR]

Small and Medium Size Enterprises (SME), the locomotive of the economies, constitute approximately 98% of firms in Turkey. It can be said that SMEs providing a large part of production and employment in Turkey in one sense direct the national economy. Therefore, it's clear that the problems of SMEs will affect the production and employment in that country. SMEs face some problems especially in developing countries. In this study, in terms of the financialmanagementandfinancialplanning, the financingproblemsof SMEsin the province of Trabzon and professionalfinancialmanagementissuesthatimpact on these problems was investigated.As a result, the majority of SMEs in Trabzon don't have finance managers and professional finance departments have been determined. And also state Incentives and institutional supports providing SMEs was found inadequate. [ABSTRACT FROM AUTHOR]