Download or read book Financial Restatement Database written by Orice M. Williams and published by DIANE Publishing. This book was released on 2006 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Restatement Database written by Orice M. Williams and published by . This book was released on 2006 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Restatement Database written by Orice M. Williams and published by . This book was released on 2006 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Restatement Database written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Statement Restatement Database written by United States Government Accountability Office and published by Createspace Independent Publishing Platform. This book was released on 2018-04-19 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Statement Restatement Database

Download or read book GAO Financial Restatement Database written by United States. Government Accountability Office and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Statement Restatement Database written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This report is the release of the database of information collected during research for the report entitled "Financial statement restatements : trends, market impacts, regulatory responses, remaining challenges" (Washington, D.C. : GAO-03-138).

Download or read book Financial Restatements written by Orice Williams and published by DIANE Publishing. This book was released on 2007-12 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2002, it was reported that the number of restatement announcements due to financial reporting fraud &/or accounting errors grew significantly between Jan. 1997 & June 2002, negatively impacting the restating companies¿ market capitalization by billions of dollars. The author was asked to update key aspects of the 2002 report. This report discusses: (1) the number of, reasons for, & other trends in restatements; (2) the impact of restatement announcements on the restating companies¿ stock costs & what is known about investors¿ confidence in U.S. capital markets; & (3) regulatory enforcement actions involving accounting- & audit-related issues. Includes recommendations. Charts & tables.

Download or read book Financial Restatement Database Scholar s Choice Edition written by United States Government Accountability and published by Scholar's Choice. This book was released on 2015-02-14 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Download or read book Data Mining Techniques to Identify Financial Restatements written by Ila Dutta and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is a multi-disciplinary field of science and technology widely used in developing predictive models and data visualization in various domains. Although there are numerous data mining algorithms and techniques across multiple fields, it appears that there is no consensus on the suitability of a particular model, or the ways to address data preprocessing issues. Moreover, the effectiveness of data mining techniques depends on the evolving nature of data. In this study, we focus on the suitability and robustness of various data mining models for analyzing real financial data to identify financial restatements. From data mining perspective, it is quite interesting to study financial restatements for the following reasons: (i) the restatement data is highly imbalanced that requires adequate attention in model building, (ii) there are many financial and non-financial attributes that may affect financial restatement predictive models. This requires careful implementation of data mining techniques to develop parsimonious models, and (iii) the class imbalance issue becomes more complex in a dataset that includes both intentional and unintentional restatement instances. Most of the previous studies focus on fraudulent (or intentional) restatements and the literature has largely ignored unintentional restatements. Intentional (i.e. fraudulent) restatements instances are rare and likely to have more distinct features compared to non-restatement cases. However, unintentional cases are comparatively more prevalent and likely to have fewer distinct features that separate them from non-restatement cases. A dataset containing unintentional restatement cases is likely to have more class overlapping issues that may impact the effectiveness of predictive models. In this study, we developed predictive models based on all restatement cases (both intentional and unintentional restatements) using a real, comprehensive and novel dataset which includes 116 attributes and approximately 1,000 restatement and 19,517 non-restatement instances over a period of 2009 to 2014. To the best of our knowledge, no other study has developed predictive models for financial restatements using post-financial crisis events. In order to avoid redundant attributes, we use three feature selection techniques: Correlation based feature subset selection (CfsSubsetEval), Information gain attribute evaluation (InfoGainEval), Stepwise forward selection (FwSelect) and generate three datasets with reduced attributes. Our restatement dataset is highly skewed and highly biased towards non-restatement (majority) class. We applied various algorithms (e.g. random undersampling (RUS), Cluster based undersampling (CUS) (Sobhani et al., 2014), random oversampling (ROS), Synthetic minority oversampling technique (SMOTE) (Chawla et al., 2002), Adaptive synthetic sampling (ADASYN) (He et al., 2008), and Tomek links with SMOTE) to address class imbalance in the financial restatement dataset. We perform classification employing six different choices of classifiers, Decision three (DT), Artificial neural network (ANN), Naïve Bayes (NB), Random forest (RF), Bayesian belief network (BBN) and Support vector machine (SVM) using 10-fold cross validation and test the efficiency of various predictive models using minority class recall value, minority class F-measure and G-mean. We also experiment different ensemble methods (bagging and boosting) with the base classifiers and employ other meta-learning algorithms (stacking and cost-sensitive learning) to improve model performance. While applying cluster-based undersampling technique, we find that various classifiers (e.g. SVM, BBN) show a high success rate in terms of minority class recall value. For example, SVM classifier shows a minority recall value of 96% which is quite encouraging. However, the ability of these classifiers to detect majority class instances is dismal. We find that some variations of synthetic oversampling such as 'Tomek Link + SMOTE' and 'ADASYN' show promising results in terms of both minority recall value and G-mean. Using InfoGainEval feature selection method, RF classifier shows minority recall values of 92.6% for 'Tomek Link + SMOTE' and 88.9% for 'ADASYN' techniques, respectively. The corresponding G-mean values are 95.2% and 94.2% for these two oversampling techniques, which show that RF classifier is quite effective in predicting both minority and majority classes. We find further improvement in results for RF classifier with cost-sensitive learning algorithm using 'Tomek Link + SMOTE' oversampling technique. Subsequently, we develop some decision rules to detect restatement firms based on a subset of important attributes. To the best of our knowledge, only Kim et al. (2016) perform a data mining study using only pre-financial crisis restatement data. Kim et al. (2016) employed a matching sample based undersampling technique and used logistic regression, SVM and BBN classifiers to develop financial restatement predictive models. The study's highest reported G-mean is 70%. Our results with clustering based undersampling are similar to the performance measures reported by Kim et al. (2016). However, our synthetic oversampling based results show a better predictive ability. The RF classifier shows a very high degree of predictive capability for minority class instances (97.4%) and a very high G-mean value (95.3%) with cost-sensitive learning. Yet, we recognize that Kim et al. (2016) use a different restatement dataset (with pre-crisis restatement cases) and hence a direct comparison of results may not be fully justified. Our study makes contributions to the data mining literature by (i) presenting predictive models for financial restatements with a comprehensive dataset, (ii) focussing on various datamining techniques and presenting a comparative analysis, and (iii) addressing class imbalance issue by identifying most effective technique. To the best of our knowledge, we used the most comprehensive dataset to develop our predictive models for identifying financial restatement.

Download or read book Financial Statement Restatements written by United States. General Accounting Office and published by . This book was released on 2002 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial statement restatements trends market impacts regulatory responses and remaining challenges written by and published by DIANE Publishing. This book was released on with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Restatements written by United States. Government Accountability Office and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Determinants of Financial Misreporting written by Soenke Sievers and published by . This book was released on 2019 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide a comprehensive overview of the findings regarding the causes of financial restatements in the US. Acknowledging that restatements may derive from intentional and unintentional misreporting, we assign the findings to one of three pillars: i) expected benefits, ii) expected costs and iii) executive characteristics. Assuming that managers are rational decision-makers, the likelihood of misreporting increases in expected benefits and decreases in expected costs. While expected benefits reflect executives' desire to maximize private benefits through compensation contracts, expected costs refer to the likelihood that misreporting will be revealed through internal or external controls. Given that efficiency of internal and external controls derives from the ability to avoid both, intentional and unintentional misreporting, we also review literature that investigates less severe restatements. We support the existing research by enhancing the understanding of restatements in light of severe and less severe restatements, identifying research gaps and organizing fragmented findings into a larger picture. Ultimately, our survey might inform regulatory bodies, auditors, standard setters and executives regarding restatements of financial statements.

Download or read book Gao 06 654 Medicare written by United States Government Accountability Office and published by Createspace Independent Publishing Platform. This book was released on 2018-02 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: GAO-06-1053R Financial Restatement Database

Download or read book Financial Statement Analysis written by Martin S. Fridson and published by John Wiley & Sons. This book was released on 2002-10-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP

Download or read book Summary of the Accounting Establishment written by United States. Congress. Senate. Committee on Government Operations. Subcommittee on Reports, Accounting, and Management and published by . This book was released on 1976 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: