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The Examination of the Relationship Between Bitcoin (BTC) Trading Volume in Türkiye and Google Trends Data on Bitcoin Searches in Google Search Engine

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  • Mehmet UZUN

Abstract

Bitcoin and cryptocurrencies have recently rekindled discussions in financial circles, both due to their technologies and price movements. The increasing inclination of investors who seek returns and embrace risk towards cryptocurrency markets is evident, driven by sudden price fluctuations. The potential of cryptocurrencies to serve as alternatives to traditional investment instruments continues to be debated within the financial framework. Researchers are persistently exploring financial instruments associated with the price fluctuations of Bitcoin and cryptocurrencies. This study investigates the interest in Bitcoin in Türkiye within the scope of Bitcoin trading volume and the "Bitcoin" search results on Google Trends. Bitcoin trade volume of BTCTurk and Paribu, two cryptocurrency exchanges operating in Türkiye, and Bitcoin search data on Google were included in the study. In this context, the long-term relationship between Bitcoin trading volume and Google Trends results is examined using the Engle-Granger cointegration test, and the existence of causality is explored through the Toda-Yamamoto causality test. According to the findings of the study, a cointegration relationship among the variables is identified. It is revealed that there is no bidirectional causality between Bitcoin trading volume and Google Trends search results. However, it is established that Google Trends is the cause of Bitcoin trading volume.

Suggested Citation

  • Mehmet UZUN, 2024. "The Examination of the Relationship Between Bitcoin (BTC) Trading Volume in Türkiye and Google Trends Data on Bitcoin Searches in Google Search Engine," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 2.
    • Handle: RePEc:fis:journl:240215
    DOI: 10.25295/fsecon.1420143
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    References listed on IDEAS

    as
    1. Philippas, Dionisis & Rjiba, Hatem & Guesmi, Khaled & Goutte, Stéphane, 2019. "Media attention and Bitcoin prices," Finance Research Letters, Elsevier, vol. 30(C), pages 37-43.
    2. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    3. Syed Ali Raza & Larisa Yarovaya & Khaled Guesmi & Nida Shah, 2022. "Google Trends and cryptocurrencies: a nonparametric causality-in-quantiles analysis," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(12), pages 5972-5989, May.
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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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