We perform principal components analyses of the University of Michigan Index of Consumer Sentiment and TV sentiment in order to gain information on their structure and information content. By introducing the new sentiment variable TV sentiment, gathered from sentiment from statements from over...

With a novel data set, we test whether sentiment in TV news can be used as a proxy for consumer sentiment in order to explain changes in private consumption growth in the United States. The University of Michigan Index of Consumer Sentiment (ICS) is taken to compare its explanatory power with TV...

We examine the information content of a newly created news sentiment index from over 300,000 articles from some of the most widely read newspapers in the US to explain changes in the University of Michigan Index of Consumer Sentiment from 1995 to 2009. Using ARMA-models, we show that consumer...