Determining economic news about China in global news feed: Evidence from Global Database of Events, Language and Tone

Current literature on economic news coverage mainly focuses on the economic news about domestic economy. This study asks a further question: will international economic news be accurately reflecting the economic performance of a foreign country? This study takes China as the target country and economic news coverage from other countries from the Global Database of Events, Language and Tone for this research and constructs a Poisson Lagged Regression model for news volume and compares autoregressive conditional heteroskedasticity model versus autoregressive integrated moving average model for economic news tone change. The results show that international economic news coverage is largely different from domestic news coverage, and the attention of foreign news on Chinese economy is negativity related to the performance of the Shanghai Stock Index. Moreover, the economic news tone about China’s economy showed a seasonal pattern