Counting Google searches predicts market movements

By Philip Ball. 2013

16 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Epidemiology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Yang Yu
2. Qiang Yang
3. Xueqi Cheng
4. Huawei Shen
5. Xiaoqian Sun
6. Wei-Wei Tu

Citations in the corpus

• Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion (2019, background): “During the past decades, machine learning has achieved great successes in many applications, e.g., computer vision (Bradski 1998), recommender system (Broder 2008), financial market analysis (Ball 2013), and so on.”
• Trading Network Predicts Stock Price (2014, background): “By analyzing Google search volume for 98 terms of varying financial relevance, they found that the increases in search volume for financially relevant search terms tend to precede large losses in financial markets 10,11 .”