Ebrahim Abdi, Farhad Khodadad Kashi, Mrs. Yeganeh Mosavi Jahromi,
Volume 9, Issue 33 (10-2018)
Abstract
The present study examined the impact of financial development on the investment of the companies listed on the Tehran Stock Exchange. To achieve this goal, data gathered from 258 companies during 2005 to 2016 and the dynamic generalized method of moments were utilized to formulate the investment model with financial constraints. The results of the study showed that these companies faced financial constraints on investment and financial development has increased their investment by reducing the financial constraints. The results also indicated that the positive effect of financial development on investment has been bigger in the case of larger companies than in smaller companies. It was further revealed that during the economic boom, financial constraints on companies were reduced and financial development led to the reinforcement of the positive effect of the boom on reduction of the companies’ financial constraints
Dr Samira Motaghi, Dr Yegane Mosavi Jahromi, Mr Mohammad Amin Taheri Gorgani,
Volume 14, Issue 51 (5-2023)
Abstract
Purpose: The insurance penetration rate is one of the most important indicators used to evaluate the insurance industry of a country. This ratio is also a measure to compare the performance of the insurance industry between developed and developing countries. The aim of this research is to compare the insurance penetration rate and the factors affecting it in high and low income countries.
Methodology: The current research examines the effect of variables such as inflation rate, education, labor productivity, dependency ratio and income on the insurance penetration rate in the period 2011-2021 and using PMG and ARDL methods to derive short-term and long-term equations in 18 countries with income High and low income and the country of Iran pays.
Findings: The results obtained from the estimation of long-term PMG models in high-income countries indicate a positive effect of dependency ratio, income level and fertility level on the insurance penetration rate, as well as a negative effect of inflation rate and labor productivity on the dependent variable, also in selected countries with high income. All the variables, except for education and dependency ratio, which had a positive and significant effect on the insurance penetration rate, are statistically meaningless. On the other hand, the findings from the estimation of the long-term ARDL model in Kesho Iran show the negative impact of the inflation rate on the insurance penetration rate and the positive impact of the education level, income level and dependency ratio on the insurance penetration rate.
