Up to fifty percent of financial forensic services are performed in divorces, or in family law business valuations. Providing the first definitive publication on family law for accountants, this book addresses topics unique to family law accounting, tax, valuation and practice. The coverage begins with pre-engagement of the client and proceeds through to trial and preparation and presentation. Sample checklists, work papers, and trial exhibits are included. CPAs and attorneys will benefit from this handbook's tips on providing financial services in the family law arena.

The bank loan market has increased dramatically in recent years and is now viewed by some as a distinct asset class. This comprehensive book covers the structure of the market, secondary market in trading practices, and how to manage a bank loan portfolio.

Topics covered in this volume (large deviations, differential geometry, asymptotic expansions, central limit theorems) give a full picture of the current advances in the application of asymptotic methods in mathematical finance, and thereby provide rigorous solutions to important mathematical and financial issues, such as implied volatility asymptotics, local volatility extrapolation, systemic risk and volatility estimation. This volume gathers together ground-breaking results in this field by some of its leading experts. Over the past decade, asymptotic methods have played an increasingly important role in the study of the behaviour of (financial) models. These methods provide a useful alternative to numerical methods in settings where the latter may lose accuracy (in extremes such as small and large strikes, and small maturities), and lead to a clearer understanding of the behaviour of models, and of the influence of parameters on this behaviour. Graduate students, researchers and practitioners will find this book very useful, and the diversity of topics will appeal to people from mathematical finance, probability theory and differential geometry.

This book assesses the size, structure and evolution of the public-private wage gap in Poland - a country frequently regarded as an example of a successful transition from a centrally planned economy to a market economy. The author extensively elaborates on the issue of the selection of employment, and reviews the available studies concerning the public-private wage gap in developed and developing countries, with a particular attention to the evolution of methodology. Furthermore, the author examines recent empirical studies on the public-sector wage premium. Contrary to former research, they have provided positive estimates of the average public-sector wage premium, with significant differences in terms of employee characteristics and local labour market conditions.

This accessible yet rigorous book examines the development of 'financial socialism' in advanced capitalist economies in the decade since the global financial crisis of 2007-2009. This new term refers to an attempt to resolve the accumulation crisis of capital through coordinated central bank activism, where state circuits of monetary capital assume a critical role in the reproduction of capitalist social relations. The book explains the dynamics of the crisis as it has developed and assesses the response of monetary elites to systemic financial risk in the global economy. Their failure to re-engineer growth following the technology boom of the late 1990s and the global financial crisis are driving fundamental changes in the form and function of capitalist money, which have yet to be theorized adequately. Finance, Accumulation and Monetary Power presents a revealing and radical critique of the failure of the International Political Economy to apprehend changes taking place within capitalism, employing a critical-theoretical analysis of contradictions in the capitalist reproduction scheme. The book will be of key interest to scholars, students and readers of international political economy, critical political economy, heterodox economics, globalization, international relations, international political sociology, business studies and finance.

This book provides a perspective on a number of approaches to financial modelling and risk management. It examines both theoretical and practical issues. Theoretically, financial risks models are models of a real and a financial "uncertainty", based on both common and private information and economic theories defining the rules that financial markets comply to. Financial models are thus challenged by their definitions and by a changing financial system fueled by globalization, technology growth, complexity, regulation and the many factors that contribute to rendering financial processes to be continuously questioned and re-assessed. The underlying mathematical foundations of financial risks models provide future guidelines for risk modeling. The book's chapters provide selective insights and developments that can contribute to better understand the complexity of financial modelling and its ability to bridge financial theories and their practice. Future Perspectives in Risk Models and Finance begins with an extensive outline by Alain Bensoussan et al. of GLM estimation techniques combined with proofs of fundamental results. Applications to static and dynamic models provide a unified approach to the estimation of nonlinear risk models. A second section is concerned with the definition of risks and their management. In particular, Guegan and Hassani review a number of risk models definition emphasizing the importance of bi-modal distributions for financial regulation. An additional chapter provides a review of stress testing and their implications. Nassim Taleb and Sandis provide an anti-fragility approach based on "skin in the game". To conclude, Raphael Douady discusses the noncyclical CAR (Capital Adequacy Rule) and their effects of aversion of systemic risks. A third section emphasizes analytic financial modelling approaches and techniques. Tapiero and Vallois provide an overview of mathematical systems and their use in financial modeling. These systems span the fundamental Arrow-Debreu framework underlying financial models of complete markets and subsequently, mathematical systems departing from this framework but yet generalizing their approach to dynamic financial models. Explicitly, models based on fractional calculus, on persistence (short memory) and on entropy-based non-extensiveness. Applications of these models are used to define a modeling approach to incomplete financial models and their potential use as a "measure of incompleteness". Subsequently Bianchi and Pianese provide an extensive overview of multi-fractional models and their important applications to Asset price modeling. Finally, Tapiero and Jinquyi consider the binomial pricing model by discussing the effects of memory on the pricing of asset prices.

This book gives an overview of affine diffusions, from Ornstein-Uhlenbeck processes to Wishart processes and it considers some related diffusions such as Wright-Fisher processes. It focuses on different simulation schemes for these processes, especially second-order schemes for the weak error. It also presents some models, mostly in the field of finance, where these methods are relevant and provides some numerical experiments. The book explains the mathematical background to understand affine diffusions and analyze the accuracy of the schemes.  

This book deals with the highly complex but exciting subject of corporate fraud and corruption, which has since become the cops and robbers game of the 21st century: accounting fraud, embezzlement, bribery and many other forms of corruption and non-compliance cause turmoil between board members, supervisory board members and managers, while economic crime and corruption cause damages amounting to billions every year. When cases of misconduct and non-compliance become public knowledge, additional loss of reputation is the result, the consequences of which aren’t even quantifiable for the companies concerned. Written by one of the most accomplished corruption and compliance experts, Dr. Stefan Heissner, this book provides comprehensive information on the controversial aspects of combating fraud and corruption from their beginnings. It also offers amazing insights into current practices in the war on fraud and corruption – including some stunning findings.

A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process. Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume: Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques Covers the basic principles and nuances of feature engineering and common machine learning algorithms Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.

The present volume is dedicated to Marek Musiela, an eminent scholar and practitioner who is perhaps best-known for his important contributions to problems of derivative pricing, theory of term structure of interest rates, theory of defaultable securities and other topics in modern mathematical finance. It includes 25 research papers by 47 authors, established experts and newcomers alike, that cover the whole range of the "hot" topics in the discipline. The contributed articles not only give a clear picture about what is going on in this rapidly developing field of knowledge but provide methods ready for practical implementation. They also open new prospects for further studies in risk management, portfolio optimization and financial engineering.

This edited book contains several state-of-the-art papers devoted to econometrics of risk. Some papers provide theoretical analysis of the corresponding mathematical, statistical, computational, and economical models. Other papers describe applications of the novel risk-related econometric techniques to real-life economic situations. The book presents new methods developed just recently, in particular, methods using non-Gaussian heavy-tailed distributions, methods using non-Gaussian copulas to properly take into account dependence between different quantities, methods taking into account imprecise ("fuzzy") expert knowledge, and many other innovative techniques. This versatile volume helps practitioners to learn how to apply new techniques of econometrics of risk, and researchers to further improve the existing models and to come up with new ideas on how to best take into account economic risks.

This text introduces upper division undergraduate/beginning graduate students in mathematics, finance, or economics, to the core topics of a beginning course in finance/financial engineering. Particular emphasis is placed on exploiting the power of the Monte Carlo method to illustrate and explore financial principles. Monte Carlo is the uniquely appropriate tool for modeling the random factors that drive financial markets and simulating their implications. The Monte Carlo method is introduced early and it is used in conjunction with the geometric Brownian motion model (GBM) to illustrate and analyze the topics covered in the remainder of the text. Placing focus on Monte Carlo methods allows for students to travel a short road from theory to practical applications. Coverage includes investment science, mean-variance portfolio theory, option pricing principles, exotic options, option trading strategies, jump diffusion and exponential Levy alternative models, and the Kelly criterion for maximizing investment growth. Novel features: inclusion of both portfolio theory and contingent claim analysis in a single text pricing methodology for exotic options expectation analysis of option trading strategies pricing models that transcend the Black-Scholes framework optimizing investment allocations concepts thoroughly explored through numerous simulation exercises numerous worked examples and illustrations The mathematical background required is a year and one-half course in calculus, matrix algebra covering solutions of linear systems, and a knowledge of probability including expectation, densities and the normal distribution. A refresher for these topics is presented in the Appendices. The programming background needed is how to code branching, loops and subroutines in some mathematical or general purpose language. The mathematical background required is a year and one-half course in calculus, matrix algebra covering solutions of linear systems, and a knowledge of probability including expectation, densities and the normal distribution. A refresher for these topics is presented in the Appendices. The programming background needed is how to code branching, loops and subroutines in some mathematical or general purpose language. Also by the author: (with F. Mendivil) Explorations in Monte Carlo, (c)2009, ISBN: 978-0-387-87836-2; (with J. Herod) Mathematical Biology: An Introduction with Maple and Matlab, Second edition, (c)2009, ISBN: 978-0-387-70983-3.

Praise for How Harvard and Yale Beat the Market

"How Harvard and Yale Beat the Market is a must-read for anyone managing his own or other people's money. It demystifies new investments such as hedge funds and principal-protected products. This engaging handbook belongs in every investor's library."
--Deborah Weir, Parker Global Strategies, author of Timing the Market: How to Profit in the Stock Market Using the Yield Curve, Technical Analysis, and Cultural Indicators

In today's volatile market, investors are looking for new ways to lower their risk profile. For author Matthew Tuttle, the best means of achieving this goal is to look towards large university endowments--which attempt to capture consistent returns while maintaining a low level of risk.

How Harvard and Yale Beat the Market explores the benefits of endowment investing and shows you how to structure your individual investment endeavors around an endowment-type portfolio. While the average investor doesn't have access to many of the money managers and vehicles that high-profile endowments use, you can still learn from the investment strategies outlined here and implement them in your own investment activities. Filled with timely tips and practical advice from an expert who designs portfolios based on endowment investment strategies, How Harvard and Yale Beat the Market will put you in a better position to achieve investment success.

This book is mainly about facilitating the dissemination of management control, a field now finding application at a growing number of organizations, among commercial practitioners. It provides essential insights on management control as applied to Chinese enterprises and cross-border organizations. The book is divided into four parts. Part 1 provides the necessary background and framework for a discussion on enterprise management control standards, while Part 2 introduces a basic standard for enterprise management control. Part 3 introduces application guidelines for enterprise management control standards, and lastly Part 4 presents several case studies on the application of enterprise management control standards.

Tailoring retirement for successful business leaders

Traditional retirement planning fails to meet the needs of wealthy baby boomers, particularly those who are business leaders. There is no "one size fits all" answer.

Wealth Regeneration at Retirement: Planning for a Lifetime of Leadership presents an alternative - one that acts more like a GPS. The authors, Kaycee Krysty and Bob Moser, leaders of the highly regarded Seattle-based wealth management firm, Laird Norton Tyee, use a proprietary discipline, Wealth Regeneration(R), to calculate the route to retirement and beyond for those at the top.

The authors challenge successful boomers to redefine retirement on their own terms. They outline a process to create a sustainable plan to achieve retirement objectives. Their years of experience in counseling CEO's and business founders through transitions is reflected throughout. For many successful boomers, the answer to the prospect of retirement has been, "I'd rather not." Yet change is inevitable. Wealth Regeneration at Retirement provides a thoughtful and thorough way for leaders to move onward.

Describing Wealth Regeneration in a digestible, actionable format, the book provides the framework, tools, and techniques that successful baby boomers and their advisors need to incorporate this innovative approach for a lifetime of leadership and legacy. Packed with learning aids, including graphics, diagrams, worksheets and exercises, the book helps readers build a unique life plan that is about more than simply retirement.

The book includes: A proprietary approach to retirement planning that changes seamlessly when times and circumstances changeA four component methodology - Where You Are; What You Want; What to Do; and Make it Happen - to ensure continuous feedback, accountability, and measurement of lifetime goalsRetirement planning expertise from wealth management firm Laird Norton Tyee

Wealth Regeneration at Retirement: Planning for a Lifetime of Leadership is artfully illustrated and filled with practical advice for wealthy baby boomers and the financial advisors they rely on. It explains exactly how to build a personalized and sustainable plan for retirement no matter where life may lead.

Become a more strategic and successful investor by identifying the biases impacting your decision making. In Behavioral Finance and Your Portfolio, acclaimed investment advisor and author Michael M. Pompian delivers an insightful and thorough guide to countering the negative effect of cognitive and behavioral biases on your financial decisions. You'll learn about the "Big Five" behavioral biases and how they're reducing your returns and leading to unwanted and unnecessary costs in your portfolio. Designed for investors who are serious about maximizing their gains, in this book you'll discover how to: Take control of your decision-making--even when challenging markets push greed and fear to intolerable levels Reflect on how to make investment decisions using data-backed and substantiated information instead of emotion and bias Counter deep-seated biases like loss aversion, hindsight and overconfidence with self-awareness and hard facts Identify your personal investment psychology profile, which you can use to inform your future financial decision making Behavioral Finance and Your Portfolio was created for individual investors, but will also earn a place in the libraries of financial advisors, planners and portfolio managers who are determined to counteract the less principled and data-driven aspects of their decision making.

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal component analysis (PCA), smoothing, and regression techniques are applied to the construction of yield and forward curves. Time series analysis is applied to the study of temperature options and nonparametric estimation. Nonlinear filtering is applied to Monte Carlo simulations, option pricing and earnings prediction. This textbook is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. It is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the R computing environment. They illustrate problems occurring in the commodity, energy and weather markets, as well as the fixed income, equity and credit markets. The examples, experiments and problem sets are based on the library Rsafd developed for the purpose of the text. The book should help quantitative analysts learn and implement advanced statistical concepts. Also, it will be valuable for researchers wishing to gain experience with financial data, implement and test mathematical theories, and address practical issues that are often ignored or underestimated in academic curricula. This is the new, fully-revised edition to the book Statistical Analysis of Financial Data in S-Plus. Rene Carmona is the Paul M. Wythes '55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas.

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. * Looks at elements of analysis used in today's fraud examinations * Reveals how to use data mining (fraud analytic) techniques to detect fraud * Examines ACL and IDEA as indispensable tools for fraud detection * Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.

In recent years, purchasing performance measurement have steadily gained in importance in theory and practice. Yet, in many cases, the focus still remains on cost items, especially savings. Moreover, reported performance ratios in purchasing are frequently called into question in terms of their amount and efficacy. Most of the time, there is no tie-in at all with staff compensations. To meet these and other challenges, this book presents a holistic approach for purchasing performance measurement and the incentive systems associated with it. The following topics are dealt with in detail: • Purchasing performance measurement on the level of commodity groups and the procurement organization • Supplier evaluation and performance measurement on the level of the buyer-supplier relationship • Comprehensive systems for purchasing performance measurement, such as the procurement value added and the purchasing balanced scorecard • Performance-oriented incentive systems and bonus payments for buyers, procurement organizations and suppliers Readers are thus provided with comprehensive guidelines for the implementation and realization of sustained performance measurement and incentivization in purchasing.

Every company wants to grow, and the most proven way is through innovation. The conventional wisdom is that only disruptive, nimble startups can innovate; once a business gets bigger and more complex corporate arteriosclerosis sets in. Gary Pisano's remarkable research conducted over three decades, and his extraordinary on-the ground experience with big companies and fast-growing ones that have moved beyond the start-up stage, provides new thinking about how the scale of bigger companies can be leveraged for advantage in innovation. He begins with the simply reality that bigger companies are, well, different. Demanding that they "be like Uber" is no more realistic than commanding your dog to speak French. Bigger companies are complex. They need to sustain revenue streams from existing businesses, and deal with Wall Street's demands. These organizations require a different set of management practices and approaches--a discipline focused on the strategies, systems and culture for taking their companies to the next level. Big can be beautiful, but it requires creative construction by leaders to avoid the creative destruction that is all-too-often the fate of too many.

This book presents a collection of original research papers focused on the relationship between information technology and accounting and control models. The book discusses the importance of establishing a synergetic relationship between new information technologies (ERP, BI, web-based technology, data mining, XBRL, etc.) and new or renewed accounting models and tools (performance indicators, prevision and simulation models, accounting models for public administration, etc.) in order to enhance an organization's capability to manage information and make valuable decisions. The search for these synergies takes place at all organizational levels: at a strategic level, in order to simulate and forecast behaviors and financial results at a management level, in order to innovate performance measurement and improve value creation at the operational level, in order to improve information quality and the efficiency of the information process. This book is particularly useful for IS and CFO managers and scholars, as it is based on a selection of the best papers - original, double blind reviewed contributions - presented to the Annual Conference of the Italian Chapter of AIS under the category "Accounting Information Systems".

EXPERT GUIDANCE ON HOW TO READ, INTERPRET, AND USE NONPROFIT FINANCIAL STATEMENTS UPDATED TO INCLUDE THE NEW FASB STANDARD FOR NONPROFIT FINANCIAL REPORTING Whether you re a nonprofit executive unfamiliar with the language of financial statements or a seasoned pro, this book is the only guide you ll need to correctly interpret those critical documents, refresh your skills and familiarize yourself with the new FASB nonprofit reporting standards. The intent behind the recent FASB accounting standards update was to improve the clarity and usefulness of nonprofit financial statements. But making sense of those statements can still be tough for the uninitiated. Accountants and non-accountants who use and prepare nonprofit financial statements need guidance on how to interpret and implement these new FASB standards. Written for both audiences, this book: * Clearly defines accounting terminology and concepts, while offering numerous examples of financial statements reflecting both the old and new FASB standards * Steers you, line-by-line, through financial reports, providing in-depth explanations of the differences between the old and new standards * Provides numerous illustrations to help you quickly feel at home with the format of nonprofit financial statements * Offers exercises to help you gain insight into the core concepts of nonprofit financial statements and reinforce your command of those concepts In addition to the new FASB standards, this expanded edition includes: * A new chapter on reserves, a long-standing challenge for nonprofits * A new section on general financial analysis, outlining what financial statement readers should look for to stay informed and satisfy their responsibility regardless of their role * A new chapter on benchmarking to help nonprofits measure performance against industry peers How to Read Nonprofit Financial Statements, Third Edition is an invaluable resource for anyone who reads, interprets, or prepares these all-important documents.

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.

Michael Erkens analyzes the determinants and consequences of information disclosure. He presents an empirical investigation of corporate risk management disclosures of nearly 400 firms from 20 European countries. The results show that countries' institutional settings and cultural values are predominant factors why firms disclose information on their risk management practices. In another study, the author analyzes the economic consequences associated with the publication of an annual report in English by European firms from non-English speaking countries. He finds that the release of English annual reports attracts more analysts and foreign investors to the firm, and decreases information asymmetries between insiders and outsiders of the firm.