Arbeitspapier

Bitcoin and web search query dynamics: is the price driving the hype or is the hype driving the price?

Using a battery of timely multivariate time series techniques I study the Bitcoin cryptocurrency price series and web search queries with regard to their mutual predictability, Granger-causality and cause-effect delay structure. The Bitcoin is at first treated as a general currency, then as a generic asset. Google queries, although cointegrated, are found to be not helpful in predicting the USD exchange rate of Bitcoin as the speculative bubble in the latter antedates explosive behavior in the former. Chinese Baidu engine queries and compounded Baidu-Google queries predict Bitcoin price dynamics at relatively high frequencies ranging from two to five months. In the other direction, causality runs from the cryptocurrency price to queries statistics across nearly all frequencies. In both directions, the reaction time computed from a phase delay measure for the relevant frequency bands with significant causality ranges from slightly more than one month to about four months.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 7675

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Business Fluctuations; Cycles
Monetary Systems; Standards; Regimes; Government and the Monetary System; Payment Systems
Asset Pricing; Trading Volume; Bond Interest Rates
International Financial Markets
Subject
bitcoin
bubbles
frequency domain
causality

Event
Geistige Schöpfung
(who)
Süssmuth, Bernd
Event
Veröffentlichung
(who)
Center for Economic Studies and ifo Institute (CESifo)
(where)
Munich
(when)
2019

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Süssmuth, Bernd
  • Center for Economic Studies and ifo Institute (CESifo)

Time of origin

  • 2019

Other Objects (12)