Neural Network Detection of Management Fraud Using Published Financial Data

Neural Network Detection of Management Fraud Using Published Financial Data
Author: Kurt Fanning
Publisher:
Total Pages:
Release: 2000
Genre:
ISBN:

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This paper uses Artificial Neural Networks to develop a model for detecting management fraud. Although similar to the more widely investigated area of bankruptcy prediction, research has been minimal. To increase the body of knowledge on this subject, we offer an in-depth examination of important publicly available predictors of fraudulent financial statements. We test the value of these suggested variables for detection of fraudulent financial statements within a matched pairs sample. We use a self organizing Artificial Neural Network (ANN) AutoNet in conjunction with standard statistical tools to investigate the usefulness of these publicly available predictors. Our study results in a model with a high probability of detecting fraudulent financial statements on one sample. The study reinforces the validity and efficiency of AutoNet as a research tool and provides additional empirical evidence regarding the merits of suggested red flags for fraudulent financial statements.

The International Corporate Governance System

The International Corporate Governance System
Author: F. Lessambo
Publisher: Springer
Total Pages: 476
Release: 2016-01-26
Genre: Business & Economics
ISBN: 1137360011

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This book provides a comprehensive approach to Corporate Governance, Audit Process and Risk Management. Furthermore, it provides an analytical and comprehensive approach of the issues facing governance directors, internal and external auditors, risk managers, and public officials conducting assessments based upon the Report on Standards and Codes.

Fraud in Accounting and Taxation and Its Detection. The Practice of Central and Eastern European Countries

Fraud in Accounting and Taxation and Its Detection. The Practice of Central and Eastern European Countries
Author: Piotr Luty
Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Total Pages: 109
Release: 2022-06-21
Genre: Business & Economics
ISBN: 8376959417

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Monografia jest drugą z trzech publikacji zaplanowanych w ramach projektu „Experience-sharing of Visegrad countries to tax avoidance activity”. Praca powstała przy współudziale autorów krajów Europy Środkowo-Wschodniej. Składa się z pięciu rozdziałów. W pierwszych trzech poruszana jest tematyka związana z różnymi sposobami wykrywania oszustw na podstawie sprawozdań finansowych spółek, z oceną ryzyka podatkowego, a także z wdrażaniem rozwiązań prawnych służących do minimalizowania unikania opodatkowania. Dwa ostatnie rozdziały poświęcone są robotyzacji i automatyzacji procesów rachunkowości w celu eliminowania nadużyć podatkowych oraz zaprezentowaniu nowych narzędzi do ujawniania oszustw podatkowych (w tym na podatku VAT).

Corruption and Fraud in Financial Markets

Corruption and Fraud in Financial Markets
Author: Carol Alexander
Publisher: John Wiley & Sons
Total Pages: 624
Release: 2022-12-13
Genre: Business & Economics
ISBN: 1394178158

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Identifying malpractice and misconduct should be top priority for financial risk managers today Corruption and Fraud in Financial Markets identifies potential issues surrounding all types of fraud, misconduct, price/volume manipulation and other forms of malpractice. Chapters cover detection, prevention and regulation of corruption and fraud within different financial markets. Written by experts at the forefront of finance and risk management, this book details the many practices that bring potentially devastating consequences, including insider trading, bribery, false disclosure, frontrunning, options backdating, and improper execution or broker-agency relationships. Informed but corrupt traders manipulate prices in dark pools run by investment banks, using anonymous deals to move prices in their own favour, extracting value from ordinary investors time and time again. Strategies such as wash, ladder and spoofing trades are rife, even on regulated exchanges – and in unregulated cryptocurrency exchanges one can even see these manipulative quotes happening real-time in the limit order book. More generally, financial market misconduct and fraud affects about 15 percent of publicly listed companies each year and the resulting fines can devastate an organisation's budget and initiate a tailspin from which it may never recover. This book gives you a deeper understanding of all these issues to help prevent you and your company from falling victim to unethical practices. Learn about the different types of corruption and fraud and where they may be hiding in your organisation Identify improper relationships and conflicts of interest before they become a problem Understand the regulations surrounding market misconduct, and how they affect your firm Prevent budget-breaking fines and other potentially catastrophic consequences Since the LIBOR scandal, many major banks have been fined billions of dollars for manipulation of prices, exchange rates and interest rates. Headline cases aside, misconduct and fraud is uncomfortably prevalent in a large number of financial firms; it can exist in a wide variety of forms, with practices in multiple departments, making self-governance complex. Corruption and Fraud in Financial Markets is a comprehensive guide to identifying and stopping potential problems before they reach the level of finable misconduct.

Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection

Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection
Author: Koyuncugil, Ali Serhan
Publisher: IGI Global
Total Pages: 356
Release: 2010-09-30
Genre: Computers
ISBN: 1616928670

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Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection has never been more important, as the research this book presents an alternative to conventional surveillance and risk assessment. This book is a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic domains. It offers the ability to apply the most modern techniques to age old problems allowing for increased effectiveness in the response to future, eminent, and present risk.

Recent Developments in Machine Learning and Data Analytics

Recent Developments in Machine Learning and Data Analytics
Author: Jugal Kalita
Publisher: Springer
Total Pages: 525
Release: 2018-09-11
Genre: Technology & Engineering
ISBN: 981131280X

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This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.

Artificial Intelligence in Financial Markets

Artificial Intelligence in Financial Markets
Author: Christian L. Dunis
Publisher: Springer
Total Pages: 349
Release: 2016-11-21
Genre: Business & Economics
ISBN: 1137488808

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As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.

Intelligent Information and Database Systems

Intelligent Information and Database Systems
Author: Ngoc Thanh Nguyen
Publisher: Springer
Total Pages: 850
Release: 2017-03-23
Genre: Computers
ISBN: 3319544306

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The two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence for Service Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for Internet of Things; Intelligent Algorithms and Brain Functions; Intelligent Systems and Algorithms in Information Sciences; IT in Biomedicine; Intelligent Technologies in the Smart Cities in the 21st Century; Analysis of Image, Video and Motion Data in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information Science; Scalable Data Analysis in Bioinformatics and Biomedical Informatics; and Technological Perspective of Agile Transformation in IT organizations.

The Foundations and Future of Financial Regulation

The Foundations and Future of Financial Regulation
Author: Mads Andenas
Publisher: Routledge
Total Pages: 492
Release: 2013-11-20
Genre: Law
ISBN: 1135043361

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Financial regulation has entered into a new era, as many foundational economic theories and policies supporting the existing infrastructure have been and are being questioned following the financial crisis. Goodhart et al’s seminal monograph "Financial Regulation: Why, How and Where Now?" (Routledge:1998) took stock of the extent of financial innovation and the maturity of the financial services industry at that time, and mapped out a new regulatory roadmap. This book offers a timely exploration of the "Why, How and Where Now" of financial regulation in the aftermath of the crisis in order to map out the future trajectory of financial regulation in an age where financial stability is being emphasised as a key regulatory objective. The book is split into four sections: the objectives and regulatory landscape of financial regulation; the regulatory regime for investor protection; the regulatory regime for financial institutional safety and soundness; and macro-prudential regulation. The discussion ranges from theoretical and policy perspectives to comprehensive and critical consideration of financial regulation in the specifics. The focus of the book is on the substantive regulation of the UK and the EU, as critical examination is made of the unravelling and the future of financial regulation with comparative insights offered where relevant especially from the US. Running throughout the book is consideration of the relationship between financial regulation, financial stability and the responsibility of various actors in governance. This book offers an important contribution to continuing reflections on the role of financial regulation, market discipline and corporate responsibility in the financial sector, and upon the roles of regulatory authorities, markets and firms in ensuring the financial health and security of all in the future.

Diginomics Research Perspectives

Diginomics Research Perspectives
Author: Lars Hornuf
Publisher: Springer Nature
Total Pages: 218
Release: 2022-09-10
Genre: Business & Economics
ISBN: 3031040635

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This book focuses on traditional fields of business studies and economics and how digitalization has affected them. It provides an overview about the lessons learned from academic research and highlights implications for practitioners. Digitalization has not only changed the ways business administration and economics are taught, but also the substance at the core of the two disciplines. Chapters from expert contributors define and carefully evaluate the developments that have occurred over the last decades. The authors further provide an assessment of how industry branches have adapted and in which form regulators have engaged. Attention is given to the theoretical and empirical findings from recent scholarly literature. Furthermore, the authors provide some novel insights from their own research at the University of Bremen. This book appeals to business administration, economics, and entrepreneurship scholars and practitioners alike.