Cong, LW, Li, X, Tang, K and Yang, Y (2021). Crypto Wash Trading. Management Science 69(11), pp. 6427-6454.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
| Cano-Rodríguez, M (2025). How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP). Preprint arXiv:2506.09915 [econ.EM]; last accessed August 27, 2025. DOI:10.48550/arXiv.2506.09915.
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| Cano-Rodríguez, M (2025). Deviations from Benford’s Law in Asset Valuations: Market Prices vs. Expert Estimates. Finance Research Letters 86. ISSN/ISBN:1544-6123. DOI:10.1016/j.frl.2025.108492.
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| Cano-Rodríguez, M, Núñez-Nickel, M and Licerán-Gutiérrez, A (2025). Divergence from Benford’s law fails to measure financial statement accuracy. International Journal of Accounting Information Systems 56, pp. 100745. DOI:10.1016/j.accinf.2025.100745.
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| Falk, BH, Tsoulalas, G and Zhang, N (2023). Crypto Wash Trading: Direct vs. Indirect Estimation. Preprint arXiv:2311.18717 [econ.GN]; last accessed January 4, 2024.
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| Sila, J, Kocenda, E, Kristoufek, L and Kukacka, J (2024). Determinants of wash trading in major cryptoexchanges. Preprint on SSRN; last accessed October 20, 2024.
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| Wang, H, Liu, T, Zhang, Y, Wu, Y, Sun, Y, Dong, J and Huang, W (2023). Last Digit Tendency: Lucky Numbers and Psychological Rounding in Mobile Transactions. Fundamental Research. DOI:10.1016/j.fmre.2023.11.011.
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