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Stability Analysis of Chinese Stock Market Based on GARCH Model

Published: 19 March 2020 Publication History

Abstract

Under the background of vigorously developing finance in the country, as an important part of Chinese financial market, how to make the development of the stock market stable healthy and safety is one of the important problems of present research. This study selects Shanghai composite index as the research object. Through sorting out relevant theories and literatures, this study using Eviews10.0 software and GARCH model to analyze and research the historical data from 2004 to 2019 and analyze the stable situation of China's stock market. On the basis of a large number of data analysis, the corresponding conclusions can be drawn. By studying the stability of the stock market, we can further understand the internal rules of the stock market and the realization of the function of resource allocation. At the same time, the study of the stability of China's stock market is of far-reaching significance for preventing financial risks and financial regulation, and provides new ideas for better research on the stability of China's stock market.

References

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Cheng Cheng. Analysis of volatility characteristics of Shanghai composite index based on GARCH model [D]. Shandong university, 2014.
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Jinfeng Shi, Weiqi Liu, wei Yang. Stability test of financial market based on quantile regression [J]. China management science. 2011(02)
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Tiemei Gao. Econometric analysis methods and modeling: Eviews applications and examples (3rd edition) [M]. Tsinghua university press. 2017.4
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Jing Kong. Empirical analysis of the volatility of Shanghai and shenzhen stock markets in China [J]. China market, 2016(14):87--88.
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Changan Yang. Research on volatility of China's stock market return rate -- analysis of Shanghai composite index based on GARCH model [J]. Knowledge economy, 2015(01):84+93.
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Junsheng Qin. Volatility of Chinese stock market and its influencing factors [D]. Anhui university of technology, 2012.
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li Pan. Empirical research on the volatility characteristics of China's stock market before and after the reform of non-tradable shares [D]. Southwest university of finance and economics, 2009.
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Ming Ma. Analysis of stock market volatility characteristics and correlation based on GARCH model [D]. Nanjing university of science and technology, 2007.
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Zhenlong Zheng, Yizhou Huang. Volatility prediction: GARCH model and implied volatility [J]. Quantitative economics research, 2010, 27(01):140--150.

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  1. Stability Analysis of Chinese Stock Market Based on GARCH Model

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    cover image ACM Other conferences
    EBIMCS '19: Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science
    August 2019
    175 pages
    ISBN:9781450366496
    DOI:10.1145/3377817
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 March 2020

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    Author Tags

    1. GARCH Model
    2. Volatility
    3. the Stability of Stock Market

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    EBIMCS '19

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    EBIMCS '19 Paper Acceptance Rate 31 of 142 submissions, 22%;
    Overall Acceptance Rate 143 of 708 submissions, 20%

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