Cross Reference Up

Cong, LW, Li, X, Tang, K and Yang, Y (2021). Crypto Wash Trading. Management Science 69(11), pp. 6427-6454.

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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. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work