From the UK’s ‘statistical national treasure’, a clever and data-driven guide to how we can live with risk and uncertainty

We live in a world where uncertainty is inevitable. How should we deal with what we don’t know? And what role do chance, luck and coincidence play in our lives?

David Spiegelhalter has spent his career dissecting data in order to understand risks and assess the chances of what might happen in the future. In The Art of Uncertainty, he gives readers a window onto how we can all do this better.

In engaging, crystal-clear prose, he takes us through the principles of probability, showing how it can help us think more analytically about everything from medical advice to pandemics and climate change forecasts, and explores how we can update our beliefs about the future in the face of constantly changing experience. Along the way, he explains why roughly 40% of football results come down to luck rather than talent, how the National Risk Register assesses near-term risks to the United Kingdom, and why we can be so confident that two properly shuffled packs of cards have never, ever been in the exact same order.

Drawing on a wide range of captivating real-world examples, this is an essential guide to navigating uncertainty while also having the humility to admit what we do not know

An innovative new valuation framework with truly useful economic indicators The End of Accounting and the Path Forward for Investors and Managers shows how the ubiquitous financial reports have become useless in capital market decisions and lays out an actionable alternative. Based on a comprehensive, large-sample empirical analysis, this book reports financial documents' continuous deterioration in relevance to investors' decisions. An enlightening discussion details the reasons why accounting is losing relevance in today's market, backed by numerous examples with real-world impact. Beyond simply identifying the problem, this report offers a solution the Value Creation Report and demonstrates its utility in key industries. New indicators focus on strategy and execution to identify and evaluate a company's true value-creating resources for a more up-to-date approach to critical investment decision-making. While entire industries have come to rely on financial reports for vital information, these documents are flawed and insufficient when it comes to the way investors and lenders work in the current economic climate. This book demonstrates an alternative, giving you a new framework for more informed decision making. * Discover a new, comprehensive system of economic indicators * Focus on strategic, value-creating resources in company valuation * Learn how traditional financial documents are quickly losing their utility * Find a path forward with actionable, up-to-date information Major corporate decisions, such as restructuring and M&A, are predicated on financial indicators of profitability and asset/liabilities values. These documents move mountains, so what happens if they're based on faulty indicators that fail to show the true value of the company? The End of Accounting and the Path Forward for Investors and Managers shows you the reality and offers a new blueprint for more accurate valuation.

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.  

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.

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.

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.

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.

A detailed look at the worst M&A deals ever and the lessons learned from them
It's common knowledge that about half of all merger and acquisition (M&A) transactions destroy value for the buyer's shareholders, and about three-quarters fall short of the expectations prevailing at the time the deal is announced. In Deals from Hell, Robert Bruner, one of the foremost thinkers and educators in this field, uncovers the real reasons for these mishaps by taking a closer look at twelve specific instances of M&A failure. Through these real-world examples, he shows readers what went wrong and why, and converts these examples into cautionary tales for executives who need to know how they can successfully navigate their own M&A deals. These page-turning business narratives in M&A failure provide much-needed guidance in this area of business. By addressing the key factors to M&A success and failure, this comprehensive guide illustrates the best ways to analyze, design, and implement M&A deals. Filled with in-depth insights, expert advice, and valuable lessons gleaned from other M&A transactions, Deals from Hell helps readers avoid the common pitfalls associated with this field and presents them with a clear framework for thinking about how to make any M&A transaction a success.

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.

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.

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.

Presents a multitude of topics relevant to the quantitative finance community by combining the best of the theory with the usefulness of applications Written by accomplished teachers and researchers in the field, this book presents quantitative finance theory through applications to specific practical problems and comes with accompanying coding techniques in R and MATLAB, and some generic pseudo-algorithms to modern finance. It also offers over 300 examples and exercises that are appropriate for the beginning student as well as the practitioner in the field. The Quantitative Finance book is divided into four parts. Part One begins by providing readers with the theoretical backdrop needed from probability and stochastic processes. We also present some useful finance concepts used throughout the book. In part two of the book we present the classical Black-Scholes-Merton model in a uniquely accessible and understandable way. Implied volatility as well as local volatility surfaces are also discussed. Next, solutions to Partial Differential Equations (PDE), wavelets and Fourier transforms are presented. Several methodologies for pricing options namely, tree methods, finite difference method and Monte Carlo simulation methods are also discussed. We conclude this part with a discussion on stochastic differential equations (SDE's). In the third part of this book, several new and advanced models from current literature such as general Lvy processes, nonlinear PDE's for stochastic volatility models in a transaction fee market, PDE's in a jump-diffusion with stochastic volatility models and factor and copulas models are discussed. In part four of the book, we conclude with a solid presentation of the typical topics in fixed income securities and derivatives. We discuss models for pricing bonds market, marketable securities, credit default swaps (CDS) and securitizations. Classroom-tested over a three-year period with the input of students and experienced practitioners Emphasizes the volatility of financial analyses and interpretations Weaves theory with application throughout the book Utilizes R and MATLAB software programs Presents pseudo-algorithms for readers who do not have access to any particular programming system Supplemented with extensive author-maintained web site that includes helpful teaching hints, data sets, software programs, and additional content Quantitative Finance is an ideal textbook for upper-undergraduate and beginning graduate students in statistics, financial engineering, quantitative finance, and mathematical finance programs. It will also appeal to practitioners in the same fields.

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.

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.

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 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.

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.

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".

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.

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.

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.

This volume contains a collection of papers dedicated to Professor Eckhard Platen to celebrate his 60th birthday, which occurred in 2009. The contributions have been written by a number of his colleagues and co-authors. All papers have been - viewed and presented as keynote talks at the international conference "Quantitative Methods in Finance" (QMF) in Sydney in December 2009. The QMF Conference Series was initiated by Eckhard Platen in 1993 when he was at the Australian - tional University (ANU) in Canberra. Since joining UTS in 1997 the conference came to be organised on a much larger scale and has grown to become a signi?cant international event in quantitative ?nance. Professor Platen has held the Chair of Quantitative Finance at the University of Technology, Sydney (UTS) jointly in the Faculties of Business and Science since 1997. Prior to this appointment, he was the Founding Head of the Centre for Fin- cial Mathematics at the Institute of Advanced Studies at ANU, a position to which he was appointed in 1994. Eckhard completed a PhD in Mathematics at the Technical University in Dresden in 1975 and in 1985 obtained his Doctor of Science degree (Habilitation degree in the German system) from the Academy of Sciences in Berlin where he headed the Stochastics group at the Weierstrass Institute.

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.

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.