TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
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  -