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Readability of token whitepaper and ICO first-day return

Author

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  • Zhang, Shuyu
  • Aerts, Walter
  • Lu, Liping
  • Pan, Huifeng

Abstract

We study the association between readability of the ICO whitepaper and the offering’s first-day return. Using data from the four largest tokens exchanges in Asia, we find that an ICO whitepaper narrative with more readable disclosures is likely to result in a higher initial return for ICO investors.

Suggested Citation

  • Zhang, Shuyu & Aerts, Walter & Lu, Liping & Pan, Huifeng, 2019. "Readability of token whitepaper and ICO first-day return," Economics Letters, Elsevier, vol. 180(C), pages 58-61.
    • Handle: RePEc:eee:ecolet:v:180:y:2019:i:c:p:58-61
    DOI: 10.1016/j.econlet.2019.04.010
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    References listed on IDEAS

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    1. Cheah, Eng-Tuck & Mishra, Tapas & Parhi, Mamata & Zhang, Zhuang, 2018. "Long Memory Interdependency and Inefficiency in Bitcoin Markets," Economics Letters, Elsevier, vol. 167(C), pages 18-25.
    2. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    3. Bijl, Laurens & Kringhaug, Glenn & Molnár, Peter & Sandvik, Eirik, 2016. "Google searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 150-156.
    4. Guay, Wayne & Samuels, Delphine & Taylor, Daniel, 2016. "Guiding through the Fog: Financial statement complexity and voluntary disclosure," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 234-269.
    5. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    6. Shuyu Zhang & Xuanyu Zhou & Huifeng Pan & Junyi Jia, 2019. "Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1445-1468, March.
    7. Shuyu Zhang & Walter Aerts & Huifeng Pan, 2019. "Causal language intensity in performance commentary and financial analyst behaviour," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 46(1-2), pages 3-31, January.
    8. Dwyer, Gerald P., 2015. "The economics of Bitcoin and similar private digital currencies," Journal of Financial Stability, Elsevier, vol. 17(C), pages 81-91.
    9. Lawrence, Alastair, 2013. "Individual investors and financial disclosure," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 130-147.
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    Cited by:

    1. Akyildirim, Erdinç & Corbet, Shaen & Cumming, Douglas & Lucey, Brian & Sensoy, Ahmet, 2020. "Riding the Wave of Crypto-Exuberance: The Potential Misusage of Corporate Blockchain Announcements," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    2. Shih‐Chu Chou & Zhe‐An Li & Tawei Wang & Ju‐Chun Yen, 2023. "How the quality of initial coin offering white papers influences fundraising: Using security token offerings white papers as a benchmark," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(1), pages 3-18, January.
    3. Muneer M. Alshater & Mayank Joshipura & Rim El Khoury & Nohade Nasrallah, 2023. "Initial Coin Offerings: a Hybrid Empirical Review," Small Business Economics, Springer, vol. 61(3), pages 891-908, October.
    4. Thewissen, James & Shrestha, Prabal & Torsin, Wouter & Pastwa, Anna M., 2022. "Unpacking the black box of ICO white papers: A topic modeling approach," Journal of Corporate Finance, Elsevier, vol. 75(C).
    5. Bongini, Paola & Osborne, Francesco & Pedrazzoli, Alessia & Rossolini, Monica, 2022. "A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Carolina Camassa, 2023. "Legal NLP Meets MiCAR: Advancing the Analysis of Crypto White Papers," Papers 2310.10333, arXiv.org, revised Oct 2023.
    7. Shuyu Zhang & Dunli Zhang & Jianming Zheng & Walter Aerts & Dandan Xu, 2023. "Plus Token and investor searching behaviour – A cryptocurrency Ponzi scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4713-4728, December.
    8. Meoli, Michele & Vismara, Silvio, 2022. "Machine-learning forecasting of successful ICOs," Journal of Economics and Business, Elsevier, vol. 121(C).
    9. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    10. Florysiak, David & Schandlbauer, Alexander, 2022. "Experts or charlatans? ICO analysts and white paper informativeness," Journal of Banking & Finance, Elsevier, vol. 139(C).
    11. Pastwa, Anna M. & Shrestha, Prabal & Thewissen, James & Torsin, Wouter, 2021. "Unpacking the black box of ICO white papers: a topic modeling approach," LIDAM Discussion Papers LFIN 2021018, Université catholique de Louvain, Louvain Finance (LFIN).
    12. Arora, Jagriti & Chakraborty, Madhumita, 2021. "Does the ease of reading of financial disclosures influence investment decision?," Economics Letters, Elsevier, vol. 204(C).
    13. Cahill, Daniel & Liu, Zhangxin (Frank), 2021. "Limitations of imitation: Lessons from another Bitcoin copycat," Journal of Corporate Finance, Elsevier, vol. 69(C).
    14. Wang, Tong & Zhao, Sheng & Zhou, Mengqiu, 2022. "Does soft information in expert ratings curb information asymmetry? Evidence from crowdfunding and early transaction phases of Initial Coin offerings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    15. André Meyer & Lennart Ante, 2020. "Effects of initial coin offering characteristics on cross-listing returns," Digital Finance, Springer, vol. 2(3), pages 259-283, December.
    16. de Andrés, Pablo & Arroyo, David & Correia, Ricardo & Rezola, Alvaro, 2022. "Challenges of the market for initial coin offerings," International Review of Financial Analysis, Elsevier, vol. 79(C).
    17. Chitsazan, Hasti & Bagheri, Afsaneh & Tajeddin, Mahdi, 2022. "Initial coin offerings (ICOs) success: Conceptualization, theories and systematic analysis of empirical studies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    18. Sapkota, Niranjan & Grobys, Klaus, 2023. "Fear sells: On the sentiment deceptions and fundraising success of initial coin offerings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    19. Samieifar, Shadi & Baur, Dirk G., 2021. "Read me if you can! An analysis of ICO white papers," Finance Research Letters, Elsevier, vol. 38(C).

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