Corpus ID: 85528890

Aggregating Google Trends: Multivariate Testing and Analysis

@article{France2017AggregatingGT,
  title={Aggregating Google Trends: Multivariate Testing and Analysis},
  author={Stephen L. France and Yuying Shi},
  journal={arXiv: Econometrics},
  year={2017}
}
Web search data are a valuable source of business and economic information. Previous studies have utilized Google Trends web search data for economic forecasting. We expand this work by providing algorithms to combine and aggregate search volume data, so that the resulting data is both consistent over time and consistent between data series. We give a brand equity example, where Google Trends is used to analyze shopping data for 100 top ranked brands and these data are used to nowcast economic… Expand
Using Popular Search Terms in Stock Price Prediction
TLDR
Results showed that different companies can be influenced by popular search terms at different weights, and distinguished also in the work between negative or positive influence where keywords can be correlated to the decrease or increase of stock prices. Expand

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