Title of article :
Analysis of the formation of the price bubble in the financial market: with an emphasis on the price bubble in the insurance industry and the stock market with the Markov-switching approach
Author/Authors :
Sadidi, Mahdi Faculty Member - Allameh Tabataba,i University - Tehran, Iran , tavakolian, Hossein Faculty Member - Allameh Tabataba,i University - Tehran, Iran , Asim, Mohammad Allameh Tabataba,i University - Tehran, Iran
Abstract :
This article investigates the formation of price bubbles in the insurance industry index in the Tehran
Stock Exchange with the total price index, considering the importance of the price trend and the
formation of bubbles in the stock market in order to get a better understanding of the price trend
of the insurance industry compared to the total index of Tehran Stock Exchange. The time period
studied in this article is from April 2017 to April 2020. The method used here is the Markov switching
method. Also, the basis of this study to identify the price bubble is two-regime state-space model
of Wu (1995) and Campbell and Shiller (1988), which considers bubble formation in one state and
bubble burst in the other. The results show that the trend of price bubble formation in the insurance
industry in Tehran Stock Exchange and the total price index of the stock exchange are different and
fluctuations in the insurance industry index have been more than fluctuations in the total stock
index. Also, based on the results, the number of bubble formation trends related to the insurance
industry index is about 26 times and the total index is 19 times. In addition, the bubbles that occur
are less compatible with each other, so that studies show that in the period of 2017 to 2018, the total
index did not face the formation of bubbles, but the insurance industry index has experienced about
12 bubble formation processes in the same period.
Keywords :
Price bubble , Insurance industry , Tehran Stock Exchange
Journal title :
International Journal of Nonlinear Analysis and Applications