Skip to main content

Investor Attention and Bitcoin Trading Behaviors

  • Chapter
  • First Online:
Essays on Financial Analytics

Part of the book series: Lecture Notes in Operations Research

  • 193 Accesses

Abstract

The rise of cryptocurrencies and social media platforms has given us unique insight on the impact of investor attention on investor trading behavior. In this paper, we focus specifically on the impact of news and social media attention on Bitcoin across five major global exchanges: Bitfinex, Bitstamp, BTC-e, Coinbase, and Kraken. We break attention into three categories: social media attention by existing investors proxied through Reddit posts (seasoned attention), social media attention by new investors proxied through Reddit subscribers (novice attention), and traditional online media attention proxied through the number of Bloomberg news articles. We find that new entrants have a greater impact on Bitcoin than discussions and posts by existing Bitcoin holders. This suggests that rise in Bitcoin prices is driven by new investors entering into the market rather than by existing investors adjusting their valuations and beliefs. In short, the increase in attention by new investors has pushed Bitcoin prices and induced extra noise in the market. We also document some asymmetries in the transmission of investor attention to Bitcoin trades depending on exogenous news shocks.

Disgraced football coach Mark Thompson admitted to obsessively trading cryptocurrencies for 12 hours a day in the lead up to his arrest …and that he’d been consumed by watching YouTube tutorials.

– Sydney Morning Herald, June 26, 2019

The views expressed in the text belong solely to the authors and do not reflect the authors’ employers. The research was conducted during the time where Wang Chun Wei was employed as an Assistant Professor at the University of Queensland, St Lucia, QLD, Australia. All errors are our own.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Since the Bitcoin investor demographic is largely dominated by young men, which correlated well with the Reddit user base. source: from a survey of 5,700 adults in 2018 by the Global Blockchain Business Council, the majority of crypto investors are young males, source: http://fortune.com/2018/01/24/young-men-buying-bitcoin.

  2. 2.

    https://docs.google.com/document/d/1Y2fKK1cJla7r14lPz3y7w7AlkYgg_AM46_RkB-tggEM/edit.

  3. 3.

    Source: https://www.theguardian.com/technology/2018/apr/10/bitcoin-soaring-value-buyers-infectious-disease-barclays-economists-say.

  4. 4.

    Zakon (2018) blockchain timeline: https://www.zakon.org/robert/blockchain/timeline/.

  5. 5.

    Bitcoinwiki bitcoin timeline: https://en.bitcoinwiki.org/wiki/Bitcoin_history#Bitcoin_in_2018.

  6. 6.

    As of March 2019.

References

  • Barber, B., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. The Review of Financial Studies, 21(2), 785–818.

    Article  Google Scholar 

  • Blume M. E., MacKinlay, A. C., & Terker, B. (1987). Order imbalances and stock price movements on October 19 and 20, 1987. The Journal of Finance, 44(4), 827–848.

    Article  Google Scholar 

  • Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention. Journal of Finance, 66, 1461–1499.

    Article  Google Scholar 

  • Feng, W., Wang, Y., & Zhang, Z. (2018). Can cryptocurrencies be a safe haven: A tail risk perspective analysis. Applied Economics, 50(44), 4745–4762.

    Article  Google Scholar 

  • Garman, M. B., & Klass, M. J. (1980). On the estimation of security price volatilities fom historical data. The Journal of Business, 53(1), 67–78.

    Article  Google Scholar 

  • Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American Economic Review, 70(3), 393–408.

    Google Scholar 

  • Kristoufek, L. (2013). Bitcoin meets Google Trends and Wikipedia: Quanitifying the relationship between phenomena of the Internet era. Nature: Scientific Reports, 3, 3415.

    Google Scholar 

  • Lee, C. (1992). Earnings news and small traders: An intraday analysis. Journal of Accounting and Economics, 15(2), 265–302.

    Article  Google Scholar 

  • Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. The Journal of Finance, 42(3), 483–510.

    Article  Google Scholar 

  • Parkinson, M. (1980). The extreme value method for estimating the variance of the rate of return. The Journal of Business, 53(1), 61–65.

    Article  Google Scholar 

  • Peress, J. (2014). The media and the diffusion of information in financial markets: Evidence from newspaper strikes. Journal of Finance, 69(5), 2007–2043.

    Article  Google Scholar 

  • Phillips, R. C., & Gorse, D. (2017). Predicting cryptocurrency price bubbles using social media data and epidemic modelling. IEEE Symposium Series on Computational Intelligence, 1–7

    Google Scholar 

  • Shen, A., Li, X., & Zhang, W. (2017). Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks. Finance Research Letters, 23, 210–216.

    Article  Google Scholar 

  • Shen, D., Urquhart, A., & Wang, P. (2019). A three-factor pricing model for cryptocurrencies. Finance Research Letters, 34, 1012–1048.

    Google Scholar 

  • Sias, R. W., & Starks, L. T. (1997). Return autocorrelation and institutional investors. Journal of Financial Economics, 46(1), 103–131.

    Article  Google Scholar 

  • Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80–82.

    Article  Google Scholar 

  • Vozlyublennaia, N. (2014). Investor attention, index performance, and return predictability. Journal of Banking & Finance, 41, 17–35.

    Article  Google Scholar 

  • Wei, W. C. (2018a). Liquidity and market efficiency in cryptocurrencies. Economics Letters, 168, 21–24.

    Article  Google Scholar 

  • Wei, W. C. (2018b). The impact of Tether grants on Bitcoin. Economics Letters, 171, 19–22.

    Article  Google Scholar 

  • Yang, D., & Zhang, Q. (2000). Drift-independent volatility estimation based on high, low, open, and close prices. The Journal of Business, 73(3), 477–491.

    Article  Google Scholar 

  • Zakon, R. H. (2018). Hobbes’ Blockchain timeline. www.zakon.org.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dimitrios Koutmos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Wei, W.C., Koutmos, D. (2023). Investor Attention and Bitcoin Trading Behaviors. In: Alphonse, P., Bouaiss, K., Grandin, P., Zopounidis, C. (eds) Essays on Financial Analytics. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-29050-3_6

Download citation

Publish with us

Policies and ethics