Financial Statement Fraud in the Turkish Financial Services Sector

被引:0
|
作者
Aslan, Lale [1 ]
机构
[1] Istanbul Yeni Yuzyil Univ, Fac Econ & Adm Sci, Dept Business Adm, Istanbul, Turkey
来源
ISTANBUL BUSINESS RESEARCH | 2021年 / 50卷 / 02期
关键词
Audit; Regulation; Banks; Brokerage Firms; Portfolio Management;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Financial statement fraud is a huge obstacle to economic growth and it results in the loss of investors' trust in the financial system. In literature, financial statement fraud detected in real sector companies is investigated thoroughly, however, financial statement fraud in financial institutions is somewhat ignored. In this article, the researcher investigates the typologies and frequencies of financial statement fraud detected by the regulator. The financial services sector framework is made up of companies like banks, intermediary institutions and portfolio management companies and the Capital Markets Board of Turkey (CMB) is the regulator and auditor for the Turkish financial services sector. The author based her research on the audit findings of CMB between 2012 and 2020. According to research results, intermediary institutions are found to be the riskiest type of institution with the majority of fraud cases and the most frequently seen type of fraud is asset misappropriation of client assets. Moreover, CMB is likely not to pursue legal allegations if the company in question is awarded a sanction according to the correlation analysis result. This article has a unique approach that combines jurisprudence and fraud cases and draws attention to financial statement fraud in the financial services sector, which is a pioneer for the Turkish economy.
引用
收藏
页码:385 / 409
页数:25
相关论文
共 50 条
  • [41] RISK PREFERENCE, DECISION MOOD AND CEO FINANCIAL STATEMENT FRAUD
    Chen, Yan
    Shapeero, Mike
    Kong, Chen
    2016 BAASANA INTERNATIONAL CONFERENCE PROCEEDINGS, 2016, : 165 - 180
  • [42] Increasing the Detection of Minority Class Instances in Financial Statement Fraud
    Moepya, Stephen Obakeng
    Nelwamondo, Fulufhelo V.
    Twala, Bhekisipho
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2017), PT II, 2017, 10192 : 33 - 43
  • [43] Financial Statement Audit and Risk of Material Misstatement Formed by Fraud
    Domaracka, Denisa
    Hunyady, Katarina
    MANAGING AND MODELLING OF FINANCIAL RISKS, 8TH INTERNATIONAL SCIENTIFIC CONFERENCE, PTS I & II, 2016, : 166 - 169
  • [44] Fraud detection in financial statement: a study using Beneish algorithm
    Sankar, B. P. Bijay
    Bhanawat, Hemant
    INTERNATIONAL JOURNAL OF MANAGERIAL AND FINANCIAL ACCOUNTING, 2024, 16 (04)
  • [45] Financial statement fraud detection through multiple instance learning
    Tang, Lingbing
    Peng, Pin
    Luo, Changqing
    Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2016, (03): : 146 - 155
  • [46] Externalities of Financial Statement Fraud on the Incoming Accounting Labor Force
    Carnes, Robert R.
    Christensen, Dane M.
    Madsen, Paul E.
    JOURNAL OF ACCOUNTING RESEARCH, 2023, 61 (05) : 1531 - 1589
  • [47] The use of machine learning algorithms to predict financial statement fraud
    Lokanan, Mark
    Sharma, Satish
    BRITISH ACCOUNTING REVIEW, 2024, 56 (06):
  • [48] A Meta-Learning Approach to Predicting Financial Statement Fraud
    Mckee, Thomas E.
    JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 2009, 6 (01) : 5 - 26
  • [49] The role of social control in deterring corporate financial statement fraud
    Dewi Nur Maulidiyah
    Puji Harto
    Discover Global Society, 3 (1):
  • [50] Financial Statement Fraud Casebook: Baking the Ledgers and Cooking the Books
    Clatworthy, Mark A.
    ACCOUNTING IN EUROPE, 2014, 11 (01) : 139 - 141