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Investigating Market Behavior Correlations between Classified Tokens using the International Token Classification Framework

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  • van Walbeek, Felix

Abstract

This paper explores the novel International Token Classification framework, creates a large sample set of tokens classified according to the framework, clusters the tokens into groups, and performs statistical analysis regarding the selected token's correlation. It investigates how the current token landscape looks by classifying 200 tokens. These tokens are clustered in three different groups, payment token, DeFi ecosystem token, and network utility tokens. We first investigate whether tokens tend to move in the same direction with the tokens from their group, and secondly, we use a created average portfolio return to compare the single token return with the different groups. According to the results, we mainly found utility and payment tokens from the IT and Finance industries. Out of the three groups, tokens clustered in the payment token group showed the highest correlations within the group and with their own group portfolio average. Overall, we conclude that the classification indeed has an impact on the relationship of token pairs. However, the results show that many more factors influence the market behavior of tokens, which should also be considered.

Suggested Citation

  • van Walbeek, Felix, 2022. "Investigating Market Behavior Correlations between Classified Tokens using the International Token Classification Framework," Junior Management Science (JUMS), Junior Management Science e. V., vol. 7(2), pages 524-542.
    • Handle: RePEc:zbw:jumsac:294994
    DOI: 10.5282/jums/v7i2pp524-542
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    1. Hughes, Alex & Park, Andrew & Kietzmann, Jan & Archer-Brown, Chris, 2019. "Beyond Bitcoin: What blockchain and distributed ledger technologies mean for firms," Business Horizons, Elsevier, vol. 62(3), pages 273-281.
    2. Sabrina T Howell & Marina Niessner & David Yermack & Jiang Wei, 2020. "Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales," The Review of Financial Studies, Society for Financial Studies, vol. 33(9), pages 3925-3974.
    3. Sha Wang & Jean-Philippe Vergne, 2017. "Buzz Factor or Innovation Potential: What Explains Cryptocurrencies’ Returns?," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-17, January.
    4. Gang-Jin Wang & Chi Xie & H. Eugene Stanley, 2018. "Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 607-635, March.
    5. Richard H. Thaler & Shlomo Benartzi, 2001. "Naive Diversification Strategies in Defined Contribution Saving Plans," American Economic Review, American Economic Association, vol. 91(1), pages 79-98, March.
    6. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    7. Jenna Birch & Athanasios A. Pantelous & Kimmo Soramäki, 2016. "Analysis of Correlation Based Networks Representing DAX 30 Stock Price Returns," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 501-525, April.
    8. Chen, Yan, 2018. "Blockchain tokens and the potential democratization of entrepreneurship and innovation," Business Horizons, Elsevier, vol. 61(4), pages 567-575.
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