1. [1] L. Joneidi, M. Norouzi, "Recognizing hidden information in stock market," The Law Quarterly, vol. 39, no. 3, 2009.
2. [2] N. Katouzian, "General Theory of Commitment", Mizan Publications, Tehran 2012.
3. [3] M. E. Roszkowski, "Business law: Principles, cases and policy", Newyork. Addison Wesley. 1997.
4. [4] S. M. Bainbridge, "Insider treading", Newyork. Foundation. 1999.
5. [5] S. E. Sharifi, "Investigating legal aspects of stock market transactions via private information", The Journal of Legal Research, no. 6, 2004.
6. [6] H. E. Leland, "Insider treading: should it be prohibited?" The journal of political economy, 1992. [
DOI:10.1086/261843]
7. [7] I. Dadashi, S. Kord-Monjiri, M. Baradaran, "The impact of internal auditing on Financial Statement Fraud in companies registered in Tehran stock market", The Auditing Science, vol. 18, no. 70, 2018.
8. [8] A. Ansari, M. H. Sourashjani, "Legal analysis of stock market transactions", Stock Market Quarterly, no. 27, 2014.
9. [9] Y. Kim, and S. Y. Sohn, "Stock fraud detection using peer group analysis," Expert Systems with Applications. vol. 39, no. 10, pp. 8986-92, 2012. [
DOI:10.1016/j.eswa.2012.02.025]
10. [10] D. Diaz, B. Theodoulidis, and P. Sampaio, "Analysis of stock market manipulations using knowledge discovery techniques applied to intraday trade prices," Expert Systems with Applications, vol. 38, no. 10, pp. 12757-71, 2011. [
DOI:10.1016/j.eswa.2011.04.066]
11. [11] H. Öğüt, M. M. Doğanay, and R. Aktaş, "Detecting stock-price manipulation in an emerging market: The case of Turkey," Expert Systems with Applications. Vol. 36, no. 9, pp. 11944-49, 2009. [
DOI:10.1016/j.eswa.2009.03.065]
12. [12] K. Golmohammadi, and O. R. Zaiane, "Data mining applications for fraud detection in securities market", In Intelligence and Security Informatics Conference (EISIC), pp. 107-114, 2012. [
DOI:10.1109/EISIC.2012.51]
13. [13] M. L. Huang, J. Liang, and Q. V. Nguyen, "A visualization approach for frauds detection in financial market. In Information Visualisation", 2009 13th International Conference. IEEE, pp. 197-202, [
DOI:10.1109/IV.2009.23] [
PMCID]
14. [14] K. Golmohammadi, O. R. Zaiane, D. Díaz, "Detecting stock market manipulation using supervised learning algorithms," In2014 Inter-national Conference on Data Science and Advanced Analytics (DSAA), pp. 435-441, 2014. [
DOI:10.1109/DSAA.2014.7058109]
15. [15] P. Ravisankar, V. Ravi, G. R. Rao, and I. Bose, "Detection of financial statement fraud and feature selection using data mining techni-ques," Decision Support Systems, 50(2), pp. 491-500, 2011. [
DOI:10.1016/j.dss.2010.11.006]
16. [16] F. H. Glancy, and S. B. Yadav, "A computational model for financial reporting fraud detec-tion," Decision Support Systems, no.50(3), pp. 595-601, 2011. [
DOI:10.1016/j.dss.2010.08.010]
17. [17] R. Kanapickienė, and Ž. Grundienė, "The model of fraud detection in financial statements by means of financial ratios", Procedia: Social and Behavioral Sciences, 213, pp. 321-327, 2015. [
DOI:10.1016/j.sbspro.2015.11.545]
18. [18] C. C. Lin, A. A. Chiu, S. Y. Huang, and D. C. Yen, "Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts' judgments".- Knowledge-Based Systems, no. 89, pp.459-470, 2015. [
DOI:10.1016/j.knosys.2015.08.011]
19. [19] H. Etemadi, H. Zolfi, "Application of logistic regression in financial statement fraud detection", The Auditing Science, vol. 13, no. 51, 2013.
20. [20] K. F. Haghighi, A. Hashemi, A. F. Dehkordi, "A study of correlation between profit management and financial statement fraud in the companies registered in Tehran stock market", The Auditing Science, vol. 4, no. 21, pp. 47-68, 2014.
21. [21] C. D. Katsis, Y. Goletsis, P. V. Boufounou, G. Stylios, and E. Koumanakos, "Using ants to detect fraudulent financial statements", Journal of Applied Finance and Banking, no.2(6), pp. 73, 2012.
22. [22] D. I. Topor, "The Auditor's Responsibility for Finding Errors and Fraud from Financial Situations: Case Study", International Journal of Academic Research in Accounting, Finance and Management Sciences, no.7(1), pp. 342-352, 2017. [
DOI:10.6007/IJARAFMS/v7-i1/2862]
23. [23] B. W. Silverman, "Density estimation for statistics and data analysis," Routledge, 2018. [
DOI:10.1201/9781315140919]