TY - JOUR U1 - Wissenschaftlicher Artikel A1 - Herzog, Bodo T1 - Google’s search data and its application in finance JF - International journal of economics, finance and management sciences N2 - This paper examines the relationship of asset Price determination via Google data. To capture this relation, I create a model and estimate several time series’ regressions. I use weekly data from 2004 to 2010 from 30 international banks. To my knowledge this is the first study which differentiates between Google’s search volume and Google’s search clicks. I show that asset prices are positively related to the rate of change in Google’s search volume, trading volume and the level of Google search clicks. Secondly, I demonstrate that the absolute level of Google’s search volume and Google’s search clicks behave differently regarding the asset price dynamics. Google’s search volume, which measures long-run searches, is negatively related while Google’s search clicks have a positive relationship to asset prices. Hence, Google’s data offer new insights on both measuring attention and pricing financial assets. KW - search data KW - asset price KW - asset bubbles KW - Google measures Y1 - 2014 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-478 SN - 2326-9553 SS - 2326-9553 U6 - https://doi.org/10.11648/j.ijefm.20140201.11 DO - https://doi.org/10.11648/j.ijefm.20140201.11 VL - 2 IS - 1 SP - 1 EP - 7 S1 - 7 PB - Science Publishing Group CY - New York ER -