This work is cited by the following items of the Benford Online Bibliography:
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969. | ||||
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Preprint arXiv:2104.07962 [q-fin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969. | ||||
Bannier, C, Ewelt-Knauer, C, Lips, J and Winker, P (2020). Benford’s Law and Its Application to Detecting Financial Fraud and Manipulation. Ch. 18 in: Corruption and Fraud in Financial Markets: Malpractice, Misconduct and Manipulation, C. Alexander and D. Cumming (Eds.), John Wiley & Sons: Chichester, U.K., pp. 473-504. ISSN/ISBN:978-1-119-42177-1. | ||||
Bannier, C, Ewelt-Knauer, C, Winker, P and Lips, J (2019). Benford’s law and its application to detecting financial fraud and manipulation. Chapter 5 of Econometric Modelling of Energy & Financial Markets, Doctoral Thesis of Johannes Lips, Justus-Liebig University Gießen . | ||||
Corazza, M, Ellero, A and Zorzi, A (2018). The importance of being “one” (or Benford’s law). Lettera Matematica 6(1), pp. 33–39. DOI:10.1007/s40329-018-0218-4. | ||||
Frunza, M-C (2016). Benford's Law. Chapter 2K in: Solving Modern Crime in Financial Markets: Analytics and Case Studies, Academic Press, New York, pp. 233-245. DOI:10.1016/B978-0-12-804494-0.00017-6. | ||||
Hofmacher, P and Hornik, K (2013). First Significant Digits and the Credit Derivative Market During the Financial Crisis. Contemporary Economics 7(2), pp. 21-29. DOI:10.5709/ce.1897-9254.80. | ||||
Lee, J and de Carvalho, M (2019). Technological improvements or climate change? Bayesian modeling of time-varying conformance to Benford’s Law. PLoS ONE 14(4): e0213300. DOI:10.1371/journal.pone.0213300. | ||||
Li, F, Han, S, Zhang, H, Ding, J, Zhang, J and Wu, J (2019). Application of Benford’s law in Data Analysis. Journal of Physics: Conference Series 1168, pp. 032133. DOI:10.1088/1742-6596/1168/3/032133. | ||||
Mataković, IC (2019). The empirical analysis of financial reports of companies in Croatia: Benford distribution curve as a benchmark for first digits. Croatian Review of Economic, Business and Social Statistics (CREBSS) 5(2), pp. 90-100 . DOI:10.2478/crebss-2019-0014. | ||||
Mataković, H (2021). Tourism Data in Croatia Assessed by Benford's Law. Journal of Public Administration, Finance and Law 19, pp. 166-184. DOI:10.47743/jopafl-2021-19-13. | ||||
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. | ||||
Mukherjee, S (2018). Can Benford's Law explain CEO pay?. Corporate Governance 26(2), pp. 143-156. DOI:10.1111/corg.12195. | ||||
Munther, E and Wright, R (2021). Did 2001 Mark the Beginning of a More Manipulated Market? An Analysis of Financial Markets via Benford’s Law. Bachelor’s Degree Project in Mathematics, Division of Mathematics and Physics Mälardalen University, Sweden . | ||||
Riccioni, J and Cerqueti, R (2018). Regular paths in financial markets: Investigating the Benford’s law. Chaos, Solitons and Fractals 107, pp. 186-194. DOI:10.1016/j.chaos.2018.01.008. | ||||
Schiavo, M (2010). Analisi statistica sulla legge di benford. Tesi di Laurea, Facoltà di Scienze Statistiche, Universita' degli studi di Padova. ITA | ||||
Shi, J, Ausloos, M and Zhu, T (2018). Benford's law is the first significant digit and distribution distances for testing the reliability of financial reports in developing countries. Physica A: Statistical Mechanics and its Applications 492(1), pp. 878-888. DOI:10.1016/j.physa.2017.11.017. | ||||
Yildiz, MS (2018). Benford Yasasının Veri Doğruluğunun Değerlendirilmesi Amaçlı Kullanımı: Hastane Verileri İçin Bir Uygulama [Use of Benford's Law to Evaluate Data Accuracy: An Application for Hospital Data]. Yönetim ve Ekonomi 25(3), pp. 849-861. DOI:10.18657/yonveek.336919. TUR |