An Empirical Study on the Volatility of Public Opinion on Coal Mine Safety Accidents

Songhua LI

Abstract


This paper empirically studies the volatility of public opinion evolution on coal mine safety accidents based on weekly average data of coal mine accidents from January 2011 to May 2014 in Baidu search index. The findings are as follows: The volatility of public opinion evolution of coal mine safety accidents shows some characteristics such as aggregation, ARCH effect. And, the estimation of a GARCH model shows that public opinion evolution of coal mine safety accidents has conditional heteroscedasticity character, and this GARCH model successfully portrays the volatility of the public opinion on coal mine safety accidents.


Keywords


Coal mine safety; Public opinion; Volatility; GARCH model

Full Text:

PDF

References


Basel, M. A., & Valentina Corradi, V. (2005). Predicting the volatility of the S&P -500 stock index via GARCH Models: The role of asymmetries. International Journal of Forecasting, (1), 167-183.

Chen, Q. L., & Shao, F. C. (2002). Study on the returns volatility of Shanghai stock index. The Journal of Quantitative & Technical Economics, (6), 122-125.

Gu, F. J., & Cen, Z. D. (2011). Study on the volatility of Chinese Shanghai and Shenzhen stock markets with GARCH and SV Models. Journal of Mathematics in Practice and Theory, (1), 4-22.

Liu, H.-C., & Hung, J.-C. (2010). Forecasting S&P-100 stock index volatility: The role of volatility asymmetry and distributional assumption in GARCH Models. Expert Systems with Applications, (7), 4928-4934.

Liu, J. Q., & Chang, C. (2002). An empirical study on the returns and volatility of Chinese Shanghai and Shenzhen stock markets. The Quarterly Journal of Economics, (1), 885-898.

Sabiruzza-Man, M. D., et al. (2010). Modeling and forecasting trading volume index: GARCH versus TGARCH approach. The Quarterly Review of Economics and Finance, (2), 141-145.

Yang, C. H., & Liu, X. M. (2012). Study on the Influence of Macroeconomic informations on the volatility of Shanghai and Shenzhen 300 Index. Journal of Shanxi University of Finance and Economics, (3), 38-44.

Yue, C. L. (2002). An empirical study on the Shanghai Stock market yields with GARCH models. The Journal of Quantitative & Technical Economics, (4), 56-59.

Zakoian, J. M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, (18), 931-955.

Zhang, J. L., & He, Q. G. (2012). Study on the time-varying linkage and volatility spillover of China’s gem and main board markets. Journal of Zhongnan University of Economics and Law, (2), 100-106.




DOI: http://dx.doi.org/10.3968/n

Refbacks

  • There are currently no refbacks.


Copyright (c) 2016 Management Science and Engineering




Share us to:   


Reminder

  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures