بررسی ارتباط پویای فرکانس-زمان با استفاده از الگویTVP-VAR-BK برای شرکت‌های بیمه، بانک، سرمایه‌گذاری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده علوم اقتصادی و اداری، دانشگاه قم

2 گروه اقتصاد/دانشگاه قم

3 دانشجوی کارشناسی ارشد اقتصاد دانشگاه قم

10.22034/epj.2024.21037.2548

چکیده

هدف این مطالعه بررسی ارتباط پویای فرکانس-زمان با استفاده از الگویTVP-VAR-BK برای شرکت‌های بیمه، بانک، سرمایه‌گذاری در اقتصاد ایران است. در راستای تجزیه و تحلیل نتایج از روش الگویTVP- VAR-BK در بازه زمانی 1390-1402 بر اساس فراوانی داده‌های روزانه استفاده گردید. نتایج بدست آمده از تحلیل شبکه‌ای پژوهش نشان داد که به‌طور کلی سرریز بازدهی از شرکت‌های سرمایه-گذاری با شدت زیاد به شرکت‌های بیمه و با شدت کمتر به صنعت بانکی منتقل شده است و همچنین سرریز ریسک به‌طور ضعیف از صنعت بیمه به بانک منتقل شده است. در دوره کوتاه‌مدت سرریز بازدهی به‌صورت شدید از سرمایه‌گذاری به بانک و با شدت کمتر از سرمایه‌گذاری به صنعت بیمه منتقل شده است. در دوره میان‌مدت سرریز بازدهی از سمت سرمایه‌گذاری‌ها به بیمه و به‌صورت ضعیف از بانک‌ها به سرمایه‌گذاری بوده است. همچنین در این دوره انتقال بازدهی از صنعت بیمه به بانک بوده است. در دوره بلندمدت بازدهی به‌صورت قوی از سرمایه‌گذاری به بیمه و به شکل قوی‌تر از بیمه به بانک منتقل شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Examining the frequency-time dynamic relationship using the TVP-VAR-BK model for insurance, bank, and investment companies

نویسندگان [English]

  • Yazdan Gudarzi Farahani 1
  • Omidali Adeli 2
  • Arezo Torabi Gudarzi 3
1 Faculty of Economic and Administrative Sciences, Qom University
2 Economics/Qom university
3 دانشجوی کارشناسی ارشد اقتصاد دانشگاه قم
چکیده [English]

The purpose of this study is to investigate the quantitative relationship of risk spillover using the TVP-VAR-BK model for insurance companies, banks, and investment in Iran's economy. In order to analyze the results, the TVP-VAR-BK model method was used in the period of 2012-2023 based on the frequency of daily data. The results obtained from the network analysis of the research showed that, in general, the risk spillover from investment companies was transferred with a high intensity to the insurance companies and with a lower intensity to the banking industry, and also the risk spillover as it has been weakly transferred from the insurance industry to banking. In the short-term period, the risk spillover has been strongly transferred from investment to the bank and less intensively from investment to the insurance industry. In the medium-term period, risk spillover has been from investments to insurance and weakly from banks to investments. Also, during this period, there has been a transfer of profits from the insurance industry to the bank. In the long-term period, the return has been strongly transferred from investment to insurance and more strongly from insurance to bank.

The purpose of this study is to investigate the quantitative relationship of risk spillover using the TVP-VAR-BK model for insurance companies, banks, and investment in Iran's economy. In order to analyze the results, the TVP-VAR-BK model method was used in the period of 2012-2023 based on the frequency of daily data. The results obtained from the network analysis of the research showed that, in general, the risk spillover from investment companies was transferred with a high intensity to the insurance companies and with a lower intensity to the banking industry, and also the risk spillover as it has been weakly transferred from the insurance industry to banking. In the short-term period, the risk spillover has been strongly transferred from investment to the bank and less intensively from investment to the insurance industry. In the medium-term period, risk spillover has been from investments to insurance and weakly from banks to investments. Also, during this period, there has been a transfer of profits from the insurance industry to the bank. In the long-term period, the return has been strongly transferred from investment to insurance and more strongly from insurance to bank.

کلیدواژه‌ها [English]

  • Return spillover
  • financial markets
  • banking system
  • insurance
  • TVP model