Residential College | false |
Status | 已發表Published |
Early Warning of American Stock Market Crises Based on Volatility Model | |
Zhu, Simu | |
2022-01-14 | |
Conference Name | 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022 |
Source Publication | ACM International Conference Proceeding Series |
Pages | 486-492 |
Conference Date | 14 January 2022through 17 January 2022 |
Conference Place | Virtual, Online |
Abstract | This paper employs ARMA-GARCH model to analyze and predict the volatility of the U.S. stock market and evaluates the effectiveness of the model using the three main stock indexes ranging from S&P, Dow Jones Industrial Average to NASDAQ Composite Index. The value at risk is estimated in this paper to give a measure of the risk of loss and an early warning for the American stock market crisis. The result shows a high risk in the overall U.S. stock market and there exists stationary, autocorrelation, and volatility clustering effect in the return series. Moreover, the volatility model has proper goodness of fit and strong robustness. |
Keyword | Arma-garch Model Early Warning Of Crises Value At Risk Volatility Clustering Effect |
DOI | 10.1145/3514262.3514332 |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85129176849 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology |
Affiliation | University of Macau, Faculty of Science and Technology, Macao |
First Author Affilication | Faculty of Science and Technology |
Recommended Citation GB/T 7714 | Zhu, Simu. Early Warning of American Stock Market Crises Based on Volatility Model[C], 2022, 486-492. |
APA | Zhu, Simu.(2022). Early Warning of American Stock Market Crises Based on Volatility Model. ACM International Conference Proceeding Series, 486-492. |
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