Clustering to determine predictive model for news reports analysis and econometric modeling

Author(s):  
Sanjoy Kumar Mukherjee ◽  
Sivaji Bandyopadhyay
2001 ◽  
Vol 8 (6) ◽  
pp. 363-365
Author(s):  
A Mayhew
Keyword(s):  

2017 ◽  
pp. 88-110 ◽  
Author(s):  
S. Drobyshevsky ◽  
P. Trunin ◽  
A. Bozhechkova ◽  
E. Gorunov ◽  
D. Petrova

The article investigates the Bank of Russia information policy using a new approach to measuring information effects on Russian data, including the analysis of the tonality of news reports, as well as internet users’ queries on Google. The efficiency of regulator’s information signals is studied using EGARCH-, VAR- models, as well as nonparametric tests. The authors conclude that the regulator communicates effectively in terms of the predictability of interest rate policy, the degree to which information signals affect the money and foreign exchange markets.


Author(s):  
Michael B. Munnik

Muslims are a subsidiary concern for religion reporting in Scotland’s news media. If journalists must cover religion, issues pertaining to Christian sectarianism still occupy a central focus, although, as more Scots identify with no religion, news reports take on a memorialising tone, marking religion’s decline. Sometimes these storylines merge, as was the case with the biggest religion story in the news during my research about Muslims and the news media in Scotland: the revelation of the sexual abuse of several priests by Cardinal Keith O’Brien (Deveney, 2013). The dominant Scottish story overall was the preparation for the referendum on independence. Muslims played a humble part in coverage of the second story and no part at all in the first.


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