Financial Statement Analysis: Evidence from Chinese Firms

2018 ◽  
Vol 21 (04) ◽  
pp. 1850027 ◽  
Author(s):  
Li Li Eng ◽  
Xi Tian ◽  
T. Robert Yu

This paper conducts a fundamental analysis of Chinese firms based on accounting numbers in their financial statements. The sample consists of 2,164 Chinese firms listed on Shanghai and Shenzhen Stock Exchanges during the period 2001 to 2013. We use nine fundamental signals and specify a benchmark model and an augmented model. We regress future excess returns on the signals and find that they are associated with excess returns; five of the signals are negatively associated with excess returns, while the other four are positively associated with excess returns. Further analysis suggests that our finding is mainly driven by state-owned firms.

2012 ◽  
Vol 31 (1) ◽  
pp. 79-96 ◽  
Author(s):  
Alan I. Blankley ◽  
David N. Hurtt ◽  
Jason E. MacGregor

SUMMARY We investigate the relationship between audit fees and subsequent financial statement restatements in the years following the Sarbanes-Oxley Act of 2002 (SOX). After controlling for internal control quality, we find that abnormal audit fees are negatively associated with the likelihood that financial statements are subsequently restated. This result conflicts with prior work that finds that audit fees are positively associated with future restatements. Overall, our evidence is consistent with the notion that restatements reflect low audit effort or underestimated audit risk in the periods leading up to the restatement year.


Author(s):  
Indra Lila Kusuma ◽  
Avesti Nila Nawangsari

This study aims to examine the analysis of the effect of profitability and managerial ownership over the period of submission of financial statements in the stock exchanges of Indonesia. This research uses secondary data with population and sample of financial data of State Owned Enterprise (BUMN) listed in Indonesia Stock Exchange in 2012 until 2016. The analysis technique used is classical assumption test which includes normality test, multicollinearity, heterokedastisitas and test Autocorrelation. Other tests use multiple linear regression test, T test, F test and Coefficient of determination test. The results showed that Profitability and Managerial Owners Influence all on the Period of Submission of Financial Statements.Profitability, Managerial Ownership and Time of Submission of Financial Statement.


2019 ◽  
Vol 4 (2) ◽  
pp. 157
Author(s):  
Centhya Wati ◽  
Windhy Puspitasari

<p><em>This </em><em>research</em><em> aimed to examine the effect of diamond fraud, corporate governance and complexity of the bank to financial statement fraud in companies engaged in banking activities using secondary data. </em><em></em></p><em>The population in this research was banking companies that listed in Indonesia Stock Exchange for the period 2013-2015. The method used is multiple regression analysis by purposive sampling as sampling method. Selected samples of 30 companies during of 3 periods are 90 samples. Data were obtained through the annual financial statements which have been provided in the Indonesia Stock Exchange. The results showed that pressure has significant positive effect on financial statement fraud, while opportunity, rationalization, capability, corporate governance and complexity have not significant effect on financial statement fraud. Adjusted R Square value of 0,115 can illustrate that the dependent variable was explained by the independent variable variabelitas for 11,5% while 88,5% are influenced by the other variables</em>


Author(s):  
Eva Hýblová ◽  
Alena Kolčavová

Directive 13/34/EC of the European Parliament and of the Council of 26 June 2013 on the annual financial statements, consolidated financial statements and related reports of certain types of undertakings is an instrument of the harmonisation of accounting in member states of the European Union. The Directive contains a number of various ways for recognition and measurement of financial statements, alternative forms of statements or simplifications for small and medium sized enterprises, worded as “permit or require”. On the one hand, these differing ways can facilitate application of the Directive in national legislations; on the other hand, they can significantly reduce the comparability of information published in financial statements. The aim of the paper is to verify the relation between the options to be chosen and the variability of the resulting values of the financial statement items. Based on the findings, the results are evaluated in relation to the informative function of financial reporting.


Author(s):  
Nguyen Tien Hung ◽  
Huynh Van Sau

The study was conducted to identify fraudulent financial statements at listed companies (DNNY) on the Ho Chi Minh City Stock Exchange (HOSE) through the Triangular Fraud Platform This is a test of VSA 240. At the same time, the conformity assessment of this model in the Vietnamese market. The results show that the model is based on two factors: the ratio of sales to total assets and return on assets; an Opportunity Factor (Education Level); and two factors Attitude (change of independent auditors and opinion of independent auditors). This model is capable of accurately forecasting more than 78% of surveyed sample businesses and nearly 72% forecasts for non-research firms.  Keywords Triangle fraud, financial fraud report, VSA 240 References Nguyễn Tiến Hùng & Võ Hồng Đức (2017), “Nhận diện gian lận báo cáo tài chính: Bằng chứng thực nghiệm tại các doanh nghiệp niêm yết ở Việt Nam”, Tạp chí Công Nghệ Ngân Hàng, số 132 (5), tr. 58-72.[2]. Hà Thị Thúy Vân (2016), “Thủ thuật gian lận trong lập báo cáo tài chính của các công ty niêm yết”, Tạp chí tài chính, kỳ 1, tháng 4/2016 (630). [3]. Cressey, D. R. (1953). Other people's money; a study of the social psychology of embezzlement. New York, NY, US: Free Press.[4]. Bộ Tài Chính Việt Nam, (2012). Chuẩn mực kiểm toán Việt Nam số 240 – Trách nhiệm của kiểm toán viên đối với gian lận trong kiểm toán báo cáo tài chính. [5]. Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of financial economics, 3(4), 305-360.[6]. Võ Hồng Đức & Phan Bùi Gia Thủy (2014), Quản trị công ty: Lý thuyết và cơ chế kiểm soát, Ấn bản lần 1, Tp.HCM, Nxb Thanh Niên.[7]. Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston: Pitman independence on corporate fraud. Managerial Finance 26 (11): 55-67.[9]. Skousen, C. J., Smith, K. R., & Wright, C. J. (2009). Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99. Available at SSRN 1295494.[10]. Lou, Y. I., & Wang, M. L. (2011). Fraud risk factor of the fraud triangle assessing the likelihood of fraudulent financial reporting. Journal of Business and Economics Research (JBER), 7(2).[11]. Perols, J. L., & Lougee, B. A. (2011). The relation between earnings management and financial statement fraud. Advances in Accounting, 27(1), 39-53.[12]. Trần Thị Giang Tân, Nguyễn Trí Tri, Đinh Ngọc Tú, Hoàng Trọng Hiệp và Nguyễn Đinh Hoàng Uyên (2014), “Đánh giá rủi ro gian lận báo cáo tài chính của các công ty niêm yết tại Việt Nam”, Tạp chí Phát triển kinh tế, số 26 (1) tr.74-94.[13]. Kirkos, E., Spathis, C., & Manolopoulos, Y. (2007). Data mining techniques for the detection of fraudulent financial statements. Expert Systems with Applications, 32(4), 995-1003.[14]. Amara, I., Amar, A. B., & Jarboui, A. (2013). Detection of Fraud in Financial Statements: French Companies as a Case Study. International Journal of Academic Research in Accounting, Finance and Management Sciences, 3(3), 40-51.[15]. Beasley, M. S. (1996). An empirical analysis of the relation between the board of director composition and financial statement fraud. Accounting Review, 443-465.[16]. Beneish, M. D. (1999). The detection of earnings manipulation. Financial Analysts Journal, 55(5), 24-36.[17]. Persons, O. S. (1995). Using financial statement data to identify factors associated with fraudulent financial reporting. Journal of Applied Business Research (JABR), 11(3), 38-46.[18]. Summers, S. L., & Sweeney, J. T. (1998). Fraudulently misstated financial statements and insider trading: An empirical analysis. Accounting Review, 131-146.[19]. Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1996). Causes and consequences of earnings manipulation: An analysis of firms subject to enforcement actions by the SEC. Contemporary accounting research, 13(1), 1-36.[20]. Loebbecke, J. K., Eining, M. M., & Willingham, J. J. (1989). Auditors experience with material irregularities – Frequency, nature, and detectability. Auditing – A journal of practice and Theory, 9(1), 1-28. [21]. Abbott, L. J., Park, Y., & Parker, S. (2000). The effects of audit committee activity and independence on corporate fraud. Managerial Finance, 26(11), 55-68.[22]. Farber, D. B. (2005). Restoring trust after fraud: Does corporate governance matter?. The Accounting Review, 80(2), 539-561.[23]. Stice, J. D. (1991). Using financial and market information to identify pre-engagement factors associated with lawsuits against auditors. Accounting Review, 516-533.[24]. Beasley, M. S., Carcello, J. V., & Hermanson, D. R. (1999). COSO's new fraud study: What it means for CPAs. Journal of Accountancy, 187(5), 12.[25]. Neter, J., Wasserman, W., & Kutner, M. H. (1990). Applied statistical models.Richard D. Irwin, Inc., Burr Ridge, IL.[26]. Gujarati, D. N. (2009). Basic econometrics. Tata McGraw-Hill Education.[27]. McFadden, D. (1974). Conditional Logit Analysis of Qualita-tive Choice Behavior," in Frontiers in Econometrics, P. Zarenm-bka, ed. New York: Academic Press, 105-42.(1989). A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Econometrica, 54(3), 1027-1058.[28]. DA Cohen, ADey, TZ Lys. (2008), “Accrual-Based Earnings Management in the Pre-and Post-Sarbanes-Oxley Periods”. The accounting review.


2020 ◽  
Vol 25 (1) ◽  
pp. 29-44
Author(s):  
Mariati ◽  
Emmy Indrayani

Company’s financial condition reflected in the financial statements. However, there are many loopholes in the financial statements which can become a chance for the management and certain parties to commit fraud on the financial statements. This study aims to detect financial statement fraud as measured using fraud score model that occurred in issuers entered into the LQ-45 index in 2014-2016 with the use of six independent variables are financial stability, external pressure, financial target, nature of industry, ineffective monitoring and rationalization. This study using 27 emiten of LQ-45 index during 2014-2016. However, there are some data outlier that shall be removed, thus sample results obtained 66 data from 25 companies. Multiple linear regression analysis were used in this study. The results showed that the financial stability variables (SATA), nature of industry (RECEIVBLE), ineffective monitoring (IND) and rationalization (ITRENDLB) proved to be influential or have the capability to detect financial statement fraud. While the external pressure variables (DER) and financial target (ROA) are not able to detect the existence of financial statement fraud. Simultaneously all variables in this study were able to detect significantly financial statement fraud.


2018 ◽  
Vol 23 (1) ◽  
pp. 72-85
Author(s):  
Lasminisih ◽  
Emmy Indrayani

Company financial statement can be used to monitor the performance of a company. Financial statements are also used as a means for decision making so that the company can anticipate future plans. The purpose of this study was to find out the effect of Capital Adequacy Ratio (CAR), Loan to Deposit Ratio (LDR) and Return on Assets (ROA) on profit changes percentage of Banking Companies. The number of sample companies used in this study was 27 Banks listed in the Indonesia Stock Exchange with observation periods from 2007 to 2008. The method used in this study was multiple regression. The results of this study have indicated that CAR, LDR, and ROA gave significant effects on changes in Banks profit so that Banking Companies performances can be measured. Keywords: CAR, LDR, ROA, Profit


2014 ◽  
Vol 90 (2) ◽  
pp. 641-674 ◽  
Author(s):  
Pepa Kraft

ABSTRACT I examine a dataset of both quantitative (hard) adjustments to firms' reported U.S. GAAP financial statement numbers and qualitative (soft) adjustments to firms' credit ratings that Moody's develops and uses in its credit rating process. I first document differences between firms' reported and Moody's adjusted numbers that are both large and frequent across firms. For example, primarily because of upward adjustments to interest expense and debt attributable to firms' off-balance sheet debt, on average, adjusted coverage (cash flow-to-debt) ratios are 27 percent (8 percent) lower and adjusted leverage ratios are 70 percent higher than the corresponding U.S. GAAP ratios. I then find that Moody's hard and soft rating adjustments are associated with significantly higher credit spreads and flatter credit spread term structures. Overall, the results indicate that Moody's quantitative adjustments to financial statement numbers and qualitative adjustments to credit ratings enable it to better capture default risk, consistent with it effectively processing both hard and soft information.


2014 ◽  
Vol 89 (6) ◽  
pp. 2115-2149 ◽  
Author(s):  
Keith Czerney ◽  
Jaime J. Schmidt ◽  
Anne M. Thompson

ABSTRACT According to auditing standards, explanatory language added at the auditor's discretion to unqualified audit reports should not indicate increased financial misstatement risk. However, an auditor is unlikely to add language that would strain the auditor-client relationship absent concerns about the client's financial statements. Using a sample of 30,825 financial statements issued with unqualified audit opinions during 2000–2009, we find that financial statements with audit reports containing explanatory language are significantly more likely to be subsequently restated than financial statements without such language. We find that this positive association is driven by language that references the division of responsibility for performance of the audit, adoption of new accounting principles, and previous restatements. In addition, we find that (1) “emphasis of matter” language that discusses mergers, related-party transactions, and management's use of estimates predicts restatements related to these matters, and that (2) the financial statement accounts noted in the explanatory language typically correspond to the accounts subsequently restated. In sum, our results suggest that present-day audit reports communicate some information about financial reporting quality.


2001 ◽  
Vol 20 (1) ◽  
pp. 137-146 ◽  
Author(s):  
W. Robert Knechel ◽  
Jeff L. Payne

The process for providing accounting information to the public has not changed much in the last century even though the extent of disclosure has increased signifi-cantly. Sundem et al. (1996) suggest that the primary benefit of audited financial statements may not be decision usefulness but the discipline imposed by timely confirmation of previously available information. In general, the value of information from the audited financial statement will decline as the audit report lag (the time period between a company's fiscal year end and the date of the audit report) increases since competitively oriented users may obtain substitute sources of information. Furthermore, the literature on earnings quality and earnings management suggests that unexpected reporting delays may be associated with lower quality information. The purpose of this paper is to extend our understanding about the determinants of audit report lag using a proprietary database containing 226 audit engagements from an international public accounting firm. We examine three previously uninvestigated audit firm factors that potentially influence audit report lag and are controllable by the auditor: (1) incremental audit effort (e.g., hours), (2) the resource allocation of audit team effort measured by rank (partner, manager, or staff), and (3) the provision of nonaudit services (MAS and tax). The results indicate that incremental audit effort, the presence of contentious tax issues, and the use of less experienced audit staff are positively correlated with audit report lag. Further, audit report lag is decreased by the potential synergistic relationship between MAS and audit services.


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