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Author: Papadakis, Stylianos
Publisher: IGI Global
ISBN: 179984806X
Category : Business & Economics
Languages : en
Pages : 270
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Book Description
The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.
Author: Papadakis, Stylianos
Publisher: IGI Global
ISBN: 179984806X
Category : Business & Economics
Languages : en
Pages : 270
Get Book Here
Book Description
The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.
Author: Michael I. C. Nwogugu
Publisher: Springer
ISBN: 113744701X
Category : Business & Economics
Languages : en
Pages : 710
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Book Description
Indices, index funds and ETFs are grossly inaccurate and inefficient and affect more than €120 trillion worth of securities, debts and commodities worldwide. This book analyzes the mathematical/statistical biases, misrepresentations, recursiveness, nonlinear risk and homomorphisms inherent in equity, debt, risk-adjusted, options-based, CDS and commodity indices – and by extension, associated index funds and ETFs. The book characterizes the “Popular-Index Ecosystems,” a phenomenon that provides artificial price-support for financial instruments, and can cause systemic risk, financial instability, earnings management and inflation. The book explains why indices and strategic alliances invalidate Third-Generation Prospect Theory (PT3), related approaches and most theories of Intertemporal Asset Pricing. This book introduces three new decision models, and some new types of indices that are more efficient than existing stock/bond indices. The book explains why the Mean-Variance framework, the Put-Call Parity theorem, ICAPM/CAPM, the Sharpe Ratio, Treynor Ratio, Jensen’s Alpha, the Information Ratio, and DEA-Based Performance Measures are wrong. Leveraged/inverse ETFs and synthetic ETFs are misleading and inaccurate and non-legislative methods that reduce index arbitrage and ETF arbitrage are introduced.
Author: Andrew Ang
Publisher: Now Publishers Inc
ISBN: 1601984685
Category : Business & Economics
Languages : en
Pages : 99
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Book Description
The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.
Author: Edwin J. Elton
Publisher: John Wiley & Sons
ISBN: 1118469941
Category : Business & Economics
Languages : en
Pages : 754
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Book Description
Modern Portfolio Theory and Investment Analysis, 9th Editionexamines the characteristics and analysis of individual securities, as well as the theory and practice of optimally combining securities into portfolios. It stresses the economic intuition behind the subject matter while presenting advanced concepts of investment analysis and portfolio management. The authors present material that captures the state of modern portfolio analysis, general equilibrium theory, and investment analysis in an accessible and intuitive manner.
Author: Keith Cuthbertson
Publisher: John Wiley & Sons
ISBN: 047009172X
Category : Business & Economics
Languages : en
Pages : 736
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Book Description
This new edition of the hugely successful Quantitative Financial Economics has been revised and updated to reflect the most recent theoretical and econometric/empirical advances in the financial markets. It provides an introduction to models of economic behaviour in financial markets, focusing on discrete time series analysis. Emphasis is placed on theory, testing and explaining ‘real-world’ issues. The new edition will include: Updated charts and cases studies. New companion website allowing students to put theory into practice and to test their knowledge through questions and answers. Chapters on Monte Carlo simulation, bootstrapping and market microstructure.
Author: George O. Aragon
Publisher: Now Publishers Inc
ISBN: 1601980825
Category : Financial risk management
Languages : en
Pages : 123
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Book Description
This paper provides a review of the methods for measuring portfolio performance and the evidence on the performance of professionally managed investment portfolios. Traditional performance measures, strongly influenced by the Capital Asset Pricing Model of Sharpe (1964), were developed prior to 1990. We discuss some of the properties and important problems associated with these measures. We then review the more recent Conditional Performance Evaluation techniques, designed to allow for expected returns and risks that may vary over time, and thus addressing one major shortcoming of the traditional measures. We also discuss weight-based performance measures and the stochastic discount factor approach. We review the evidence that these newer measures have produced on selectivity and market timing ability for professional managed investment funds. The evidence includes equity style mutual funds, pension funds, asset allocation style funds, fixed income funds and hedge funds.
Author: Greg Filbeck
Publisher:
ISBN: 9780199979790
Category : Electronic books
Languages : en
Pages : 767
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Book Description
This title examines the foundations of portfolio management with the contributions of financial pioneers up to the latest trends. The book discusses portfolio theory and management both before and after the 2007-2008 financial crisis. It takes a global focus by highlighting cross-country differences and practices.
Author: François-Serge Lhabitant
Publisher: John Wiley & Sons
ISBN: 1119995248
Category : Business & Economics
Languages : en
Pages : 654
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Book Description
A comprehensive guide to the burgeoning hedge fund industry Intended as a comprehensive reference for investors and fund and portfolio managers, Handbook of Hedge Funds combines new material with updated information from Francois-Serge L’habitant’s two other successful hedge fund books. This book features up-to-date regulatory and historical information, new case studies and trade examples, detailed analyses of investment strategies, discussions of hedge fund indices and databases, and tips on portfolio construction. Francois-Serge L’habitant (Geneva, Switzerland) is the Head of Investment Research at Kedge Capital. He is Professor of Finance at the University of Lausanne and at EDHEC Business School, as well as the author of five books, including Hedge Funds: Quantitative Insights (0-470-85667-X) and Hedge Funds: Myths & Limits (0-470-84477-9), both from Wiley.
Author: Pulle Subrahmanya Srinivas
Publisher: World Bank Publications
ISBN: 9780821344880
Category : Business & Economics
Languages : en
Pages : 56
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Book Description
" "Draconian" regulations have created distortions in asset management, limited opportunities for diversification, and, as a consequence have hampered, the performance of pension funds." This volume shows that the return to retirement assets, expected replacement rates, and, hence, the net welfare gain from pension reform is lower under a draconian regulatory framework than under a more liberal pension fund investment regime. Important policy conclusions of the paper are that existing regulatory regimes should be liberalized as soon as possible to allow pension fund investments in a wider array of financial instruments and that regulations should require evaluation of pension fund performance against market benchmarks as opposed to exclusive focus on comparisons with industry averages. The paper also suggests a review of the current structure of the private pension fund industry in Latin America and an evaluation against alternatives in the light of actual performance experience.
Author: Josh Lerner
Publisher: John Wiley & Sons
ISBN: 1119559669
Category : Business & Economics
Languages : en
Pages : 514
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Book Description
In the newly revised second edition of Venture Capital, Private Equity, and the Financing of Entrepreneurship, a dedicated team of researchers and professionals delivers an authoritative and comprehensive account of the world of active investing. This important work demonstrates how venture capitalists and private equity investors do business and create value for entrepreneurs, shareholders, and other stakeholders. The authors, drawing on decades of combined experience studying and participating in the private equity markets, discuss the players, dynamics, and the incentives that drive the industry. They also describe various possibilities for the future development of private equity. This latest edition is perfect for advanced undergraduate students of finance and business, as well as MBA students seeking an insightful and accessible textbook describing the private equity markets.
