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Examining the Jaccard index in the volatility of thirty companies index shares: The bubble period and the fall of the Iranian stock market
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Samaneh Bagheri *   |
| Ph.D. in Economics, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran , samanehbagheri@stu.yazd.ac.ir |
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Abstract: (4 Views) |
It is very important for investors to identify the behavior of shares during the periods of bubble and crash of the stock market. Identifying this behavior helps investors make better decisions during periods of stock market bubbles and crashes. This research, for the first time, examines the Jaccard similarity coefficient in the volatility of the index shares of 30 companies during the bubble period for the period 5/19/1399-5/1/1399 and the stock market crash for the time period 11/5/1400-5/20/1400 using Jaccard similarity coefficient and complex network. During the bubble period of the Iranian stock market, Khasapa and Khodro shares have the lowest Jaccard distance and the highest Jaccard similarity coefficient in the network. In this period, the highest correlation of volatility is related to Khasapa and auto shares. Shasta and Pars stock markets have the highest Jacquard distance and the lowest Jacquard similarity coefficient. Shasta and Pars shares have the lowest volatility correlation in the market. During the market crash period, Kegel and Hekeshti shares have the highest Jaccard similarity coefficient and the lowest Jaccard distance, these two shares have the highest volatility correlation. The lowest correlation of turbulence and the highest Jaccard distance are related to two shares of Shepena and Shekharak. The share of news in the period of the stock market collapse has a greater correlation of volatility, and it shows that this share has a greater correlation of volatility with the rest of the shares during the period of the bubble and market collapse. Is. Shapna and Shakhark shares have the lowest Jaccard similarity coefficient and the highest Jaccard distance in the share market network. This research helps investors to choose stocks for their portfolio during the stock market crash. |
Article number: 6 |
| Keywords: Jaccard similarity coefficient, Jaccard distance, stock market crash, stock market bubble |
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Full-Text [PDF 1264 kb]
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Article type: Research |
Subject:
Special
Received: 2026/04/3 | Accepted: 2026/05/30 | Published: 2026/08/23
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