Bøger i Wiley Finance serien

Ensure that you′re using the most up-to-date data available: Buy the 2017 Valuation Handbook U.S. Industry Cost of Capital + Quarterly PDF Updates together!The most recent cost of capital data for approximately 180 U.

EVERYTHING YOU NEED FOR ACCURATE COST OF CAPITAL ESTIMATIONS--IN A SINGLE VOLUME The 2017 Valuation Handbook - U.S. Guide to Cost of Capital is part of the international series of valuation resources authored by Duff & Phelps and published by John Wiley & Sons. This annually-updated reference provides business valuation and finance professionals with the critical data they need to measure company risk and cost of capital. Gauging the risks of an investment is one of the trickiest aspects of finance. This comprehensive guidebook gives you two of the most important data sets in the industry, along with the ability to: Turn to a definitive resource of world-class data and guidance to gain a distinct competitive advantage in real-world situations.Use the most up-to-date data available, including rate of return figures adjusted to fix the skew shown in other studies on equity risk premiums.Quickly grasp how concepts and methodologies translate into actual practice when they are brought to life in exemplifying cases. Accurate. Reliable. Trusted. The 2017 Valuation Handbook - U.S. Guide to Cost of Capital gives you an upper hand the moment you open it. Other volumes in the annual series include: 2017 Valuation Handbook - U.S. Industry Cost of Capital2017 Valuation Handbook - International Guide to Cost of Capital2017 Valuation Handbook - International Industry Cost of Capital

A business must measure its value potential in order to grow and succeed. Companies that trade on a stock exchange can easily see their market value day to day, but private companies are far more challenged in gauging their value, which further complicates the tricky negotiations involved in mergers and acquisitions (M&A). Valuation for M&A remains the only authoritative guide on the market for executives and investors who want to know both the fair market value and investment value of a closely-held business. This revised and expanded Third Edition presents a fully up-to-date road map to measuring value in businesses being considered for sale and purchase, as well as growing value in a company's daily operations. New coverage brings you up to speed on all the changes in the marketplace, including how to accurately value knowledge-based assets and how to value businesses with a global perspective. This dependable resource now features a streamlined, quick-reference format to seamlessly answer your everyday questions on: Negotiating toward a win-win outcome in any M&A transaction--as a buyer and a seller Building company value leading up to an M&A transaction by conducting both quantitative and qualitative assessments Mastering a valuation skillset specific to M&A, including exit planning, deal structuring, fairness opinions, and financial reportingThis new edition also offers fresh discussions on cost of capital, including the Duff & Phelps Risk Premium Report Size Study and the Private Cost of Capital. Finally, there are new contributions by Ken Sanginario on "Using Specific Company Risk Strategically" and Justin Johnson on "Disciplined and Thorough Valuation Analysis are Key to Avoiding Failed M&A Deals."Know for certain whether selling or buying a company is the right strategic move with Valuation for M&A, Third Edition.

Understand and interpret the global debt capital marketsNow in a completely updated and expanded edition, this is a technical guide to the yield curve, a key indicator of the global capital markets and the understanding and accurate prediction of which is critical to all market participants. Being able to accurately and timely predict the shape and direction of the curve permits practitioners to consistently outperform the market.Analysing and Interpreting the Yield Curve, 2nd Edition describes what the yield curve is, explains what it tells participants, outlines the significance of certain shapes that the curve assumes and, most importantly, demonstrates what factors drive it and how it is modelled and used.* Covers the FTP curve, the multi-currency curve, CSA, OIS-Libor and 3-curve models* Gets you up to speed on the secured curve* Describes application of theoretical versus market curve relative value trading* Explains the concept of the risk-free rate* Accessible demonstration of curve interpolation best-practice using cubic spline, Nelson-Siegel and Svensson 94 modelsThis advanced text is essential reading for traders, asset managers, bankers and financial analysts, as well as graduate students in banking and finance.

Choose the best speak-up arrangements for your organisationThe last five years have seen dramatic and fundamental changes in whistleblower procedures for organisations. Prompted by a spate of important public disclosures, organizations are now mandated by law to implement effective arrangements enabling employees to speak up about perceived wrongdoing. Currently few resources exist to help with this.To help fill the gap, The Whistleblowing Guide examines the opportunities and challenges associated with different types of whistleblowing and speak-up arrangements, making recommendations based on best practices you can trust.* Identifies the major organisational, structural and cultural obstacles to speaking up through speak-up arrangements* Proposes effective whistleblowing and speak-up arrangements* Explains the specific policy and legislation requirements that can promote or impede the effective implementation of speak-up arrangements, and how these can be translated into commercial and public organizations across sectors and cultures* Makes a clear distinction between internal and external reporting arrangementsThe Whistleblowing Guide offers conceptual clarification about these key issues, including a focus on internal and external speak-up procedures, organisational response and communication, impartiality and trust.

Get to know the 'why' and 'how' of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it's a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance.The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning.* Gain a solid reason to use machine learning* Frame your question using financial markets laws* Know your data* Understand how machine learning is becoming ever more sophisticatedMachine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment -- and this book shows you how.

Develop and manage a private equity compliance programCompliance has become one of the fastest-growing areas in the private equity (PE) space. Mirroring trends from the hedge fund industry, recent surveys indicate that PE managers rank compliance as the single most challenging aspect of their business. Reports also indicate that PE compliance spending has rapidly outpaced other PE operating costs with recent estimates indicating that individual PE funds on average spend at least 15 - 20% of their operating budgets on this area. General Partners (GPs) have also significantly ramped up the hiring of private equity compliance related roles.Private Equity Compliance provides current and practical guidance on key private equity (PE) compliance challenges and trends. Packed with detailed, practical guidance on developing and managing a private equity compliance program, it offers up-to-date case studies and an analysis of critical regulatory enforcement actions on private equity funds in areas including conflict of interest, fees, expenses, LP fun raising disclosures, and valuations.* Provides real-world compliance guidance* Offers information that is tailored to the current compliance practices employed by GPs in the private equity industry.* Provides guidance on managing the compliance risks associated with cybersecurity and information technology risk* Serves as a PE-focused complement to the author's previous book, Hedge Fund ComplianceIf you're a private equity investor or compliance officer looking for trusted guidance on analyzing conflicts, fees, and risks, this is one reference you can't be without.

A mathematical guide to measuring and managing financial risk.Our modern economy depends on financial markets. Yet financial markets continue to grow in size and complexity. As a result, the management of financial risk has never been more important.Quantitative Financial Risk Management introduces students and risk professionals to financial risk management with an emphasis on financial models and mathematical techniques. Each chapter provides numerous sample problems and end of chapter questions. The book provides clear examples of how these models are used in practice and encourages readers to think about the limits and appropriate use of financial models.Topics include:* Value at risk* Stress testing* Credit risk* Liquidity risk* Factor analysis* Expected shortfall* Copulas* Extreme value theory* Risk model backtesting* Bayesian analysis* . . . and much more

A discussion-based learning approach to corporate finance fundamentals Lessons in Corporate Finance explains the fundamentals of the field in an intuitive way, using a unique Socratic question and answer approach. Written by award-winning professors at M.I.T.

Determining the true value of a commercial property is essential in many circumstances, such as for investment or strategic purposes as well as for economic feasibility studies. Commercial Property Valuation offers a comprehensive guide that helps determine the Market Value of a property using logical, clear and mutually agreeable methods based on credible and objective data. Supported by a straightforward description of the economic characteristics of properties as well as of their risks, Commercial Property Valuation offers an approach to valuation that looks at each property as a company, whose value directly depends on the revenues deriving by the product offered to the marketplace - the use of space leased to tenants, and its related risk. Examples and case studies are also provided to support the theoretical base and to facilitate an immediate comprehension and application. Based on the authors combined professional and academic experience, Commercial Property Valuation is a real-world guide for distinguishing theory from what is effective in practice and is addressed to both professionals who operate in the real estate sector and the inexperienced who, for personal or professional reasons, need to estimate the value of a real estate asset.

An updated review of the theories and applications of corporate risk managementAfter the financial crisis of 2008, issues concerning corporate risk management arose that demand new levels of oversight. Corporate Risk Management is an important guide to the topic that puts the focus on the corporate finance dimension of risk management. The author--a noted expert on the topic--presents several theoretical models appropriate for various industries and empirically verifies theoretical propositions. The book also proposes statistical modeling that can evaluate the importance of different risks and their variations according to economic cycles.The book provides an analysis of default, liquidity, and operational risks as well as the failures of LTCM, ENRON, and financial institutions that occurred during the financial crisis. The author also explores Conditional Value at Risk (CVaR), which is central to the debate on the measurement of market risk under Basel III. This important book:* Includes a comprehensive review of the aspects of corporate risk management* Presents statistical modeling that addresses recent risk management issues* Contains an analysis of risk management failures that lead to the 2008 financial crisis* Offers a must-have resource from author Georges Dionne the former editor of The Journal of Risk and InsuranceCorporate Risk Management provides a modern empirical analysis of corporate risk management across industries. It is designed for use by risk management professionals, academics, and graduate students.

As globalization is redefining the field of corporate finance, international finance is now part and parcel of the basic literacy of any financial executive. This is why International Corporate Finance is a "must" text for upper-undergraduates, MBAs aspiring to careers in global financial services and budding finance professionals.International Corporate Finance offers thorough coverage of the international monetary system, international financing, foreign exchange risk management and cross-border valuation. Additionally, the book offers keen insight on how disintermediation, deregulation and securitization are re-shaping global capital markets.What is different about International Corporate Finance?* Each chapter opens with a real-life mini-case to anchor theoretical concepts to managerial situations.* Provides simple decision rules and "how to do" answers to key managerial issues.* Cross-border Mergers & Acquisitions, Project Finance, Islamic Finance, Asian Banking & Finance are completely new chapters that no other textbooks currently cover.* Accompanied with a comprehensive instructor support package which includes case studies, an Instructor's Manual, PowerPoint slides, Multiple Choice Questions and more.

An industry-specific guide to the applications of Advanced Analytics and AI to the banking industryArtificial Intelligence (AI) technologies help organisations to get smarter and more effective over time - ultimately responding to, learning from and interacting with human voices. It is predicted that by 2025, half of all businesses will be using these intelligent, self-learning systems. Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development.Unlike existing books on the subject which tend to be overly technical and complex, this accessible, reader-friendly guide is designed to be easily understood by any banking professional with limited or no IT background. Chapters focus on practical guidance on the use of analytics to improve operational effectiveness, customer retention and finance and risk management. Theory and published case studies are clearly explained, whilst considerations such as operating costs, regulation and market saturation are discussed in real-world context. Written by a recognised expert in AI and Advanced Analytics, this book:* Explores the numerous applications for Advanced Analytics and AI in various areas of banking and finance* Offers advice on the most effective ways to integrate AI into existing bank ecosystems* Suggests alternative and complementary visions for the future of banking, addressing issues like branch transformation, new models of universal banking and 'debranding'* Explains the concept of 'Open Banking,' which securely shares information without needing to reveal passwords* Addresses the development of leadership relative to AI adoption in the banking industryAI and the Future of Banking is an informative and up-to-date resource for bank executives and managers, new entrants to the banking industry, financial technology and financial services practitioners and students in postgraduate finance and banking courses.

An advanced method for financial institutions to optimise Asset Liability Management for maximised return and minimised risk Virtually all financial institutions rely on Asset Liability Management units to match term structures and cash flows of their asset liability portfolios. This has always been key to maximising returns while minimising risk. However, the role of the ALM unit has evolved and expanded in recent years. Heavy regulation and increased competition have forced banks to constantly seek ways to improve their ALM operations. ALM units must now actively manage regulatory capital and monitor the banking book to ensure their institutions remain profitable and increasing competition for resources has forced Asset Liability Managers to extend beyond the risk management field. These are new challenges. Luckily, there are practical ways to overcome them. Asset Liability Management Optimisation will teach you how to develop an ALM operation built to thrive in today's world. Author Beata Lubinska emphasises a quantifiable and holistic approach, in which interest rate risk and liquidity risk management are combined, helping ALM units precisely determine whether their efforts have yielded genuine improvements. This book is for any ALM professional or unit eager to adapt to new responsibilities and expectations. ALM operations must evolve for financial institutions to succeed. This invaluable guide explains how they can. Visit http: //www.bladvisory.com/ for more information.

McKinsey & Company's #1 best-selling guide to corporate valuation, now in its sixth edition Valuation is the single best guide of its kind, helping financial professionals worldwide excel at measuring, managing, and maximizing shareholder and company value.

A vital companion to the #1 best-selling guide to corporate valuation Valuation Workbook is the ideal companion to McKinsey's Valuation, helping you get a handle on difficult concepts and calculations before using them in the real world.

Discover the interplay between strategy and risk in this insightful new resource from two experts in the financial industry who have applied their knowledge to multiple industriesIn The Two Headed Coin, accomplished authors James L. Darroch and David Wm. Finnie deliver an insightful exploration of the interplay between strategy and risk that underlies the operational framework of successful organizations. You'll learn which risks are fundamental to the strategic positioning and goals of your organization and which are not. You'll also discover the importance of an independent risk function, e,g., the CRO, and its invaluable role as part of the strategic process.You'll also find:* A thorough discussion of the notion of competitive advantage and how it relates to risk* An exploration of consumer perception and reputation as an asset to be managed* How to use scenario planning and real options to provide a framework for managing uncertainty* How a focus on culture and ethics can minimize the risk of large losses due to adverse behaviorsPerfect for risk management and strategy professionals The Two Headed Coin will also earn a place in the libraries of executives and managers who wish to improve their ability to integrate strategic and risk thinking to create competitive advantage.

Introduces practical approaches for optimizing management and hedging of Interest Rate Risk in the Banking Book (IRRBB) driven by fast evolving regulatory landscape and market expectations.Interest rate risk in the banking book (IRRBB) gained its importance through the regulatory requirements that have been growing and guiding the banking industry for the last couple of years. The importance of IRRBB is shifting for banks, away from 'just' a regulatory requirement to having an impact on the overall profitability of a financial institution. Interest Rate Risk in the Banking Book sheds light on the best practices for managing this importance risk category and provides detailed analysis of the hedging strategies, practical examples, and case studies based on the author's experience. This handbook is rich in practical insights on methodological approach and contents of ALCO report, IRRBB policy, ICAAP, Risk Appetite Statement (RAS) and model documentation. It is intended for the Treasury, Risk and Finance department and is helpful in improving and optimizing their IRRBB framework and strategy. By the end of this IRRBB journey, the reader will be equipped with all the necessary tools to build a proactive and compliant framework within a financial institution.* Gain an updated understanding of the evolving regulatory landscape for IRRBB* Learn to apply maturity gap analysis, sensitivity analysis, and the hedging strategy in banking contexts * Understand how customer behavior impacts interest rate risk and how to manage the consequences* Examine case studies illustrating key IRRBB exposures and their implicationsWritten by London market risk expert Beata Lubinska, Interest Rate Risk in the Banking Book is the authoritative resource on this evolving topic.

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website Introduces the most important software frameworks for applying deep learning within finance This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

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 makingBehavioral 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.

Investment Banking WORKBOOK is the ideal complement to Investment Banking, Valuation, Leveraged Buyouts, and Mergers & Acquisitions, Second Edition, enabling you to truly master and refine the core skills at the center of the world of finance.

The authors' goal in writing this book is twofold: to describe several important innovations that address key challenges to asset allocation and to dispel certain fallacies about asset allocation.

John Bollinger is well known for having developed Bollinger Bands, trading bands (similar to moving average envelopes) that plot whether prices are high or low. Trading bands such as these forewarn the investor whether he should buy or sell, thus confirming general price action (not absolute buy or sell signals). This concept is used by many traders and investors in conjunction with a host of complimentary indicators. Bollinger's analytical approach to the market combines the best of technical analysis along with strong fundamental analysis.

An in-depth, well-researched look at 100 hedge fund frauds Compared to mutual funds, hedge funds are the James Bonds of the marketplace.

The first complete, expert guide to securities and investment fraud Filled with expert guidance for detection and prevention of all kinds of securities fraud and investment misconduct, Securities Fraud helps you identify red flags of fraud and offers practical ways to detect and prevent it.

TEN LAWS OF OPERATIONAL RISKUnlike credit and market risk, operational risk currently lacks an overarching theory to explain how and why losses occur. As a result, operational risk managers have been forced to use unsatisfactory tools and processes that fail to add sufficient commercial value.In Ten Laws of Operational Risk: Understanding its Behaviours to Improve its Management, Michael Grimwade delivers an insightful discussion of the nature of operational risk and a groundbreaking redesign of the profession???s existing tools. The author???s Ten Laws are grounded on the business profiles of firms and the human and institutional behaviours that drive operational risk. They are underpinned by taxonomies for the causes; the inadequacies or failures that constitute both control failures and events; and the impacts of operational risks.Drawing on twenty-five years of first-hand experience and research, this book explains the patterns and trends that are apparent in the historical data and offers solutions to the persistent problems inherent in risk appetite, RCSAs, scenario analysis, reputational risk, stress testing, capital modeling, and insurance. It also provides fresh insights into the everyday activities of risk managers with respect to predictive key risk and control indicators, root cause analysis, why controls fail, the risks posed by change, and product risk profiles.Ten Laws of Operational Risk presents a structured and evidence-based approach to identifying emerging risks and predicting future behaviours related to pandemics, climate change, cybercrime, artificial intelligence, and machine learning. It includes revealing industry data, in-depth case studies, and real-world examples that shed light on recurring and obstinate problems in operational risk management.A must-read resource for Chief Risk Officers and other risk professionals, as well as regulators, management consultants, and students and scholars of operational risk, Ten Laws of Operational Risk provides an invaluable new, systematic, and rigorous approach to operational risk management.PRAISE FOR TEN LAWS OF OPERATIONAL RISK???Operational Risk can no longer be described as a new concept, but as a discipline few attempts have been made to really understand its behaviour. In his book Michael does this very successfully, blending extensive practical experience with analytical thought leadership to propose a set of laws that explain why and how Operational Risks arise, and what can be done to manage them. Assertions are evidence based, with numerous real examples used to underpin his hypotheses. This is a valuable addition to Operational Risk thinking and is recommended for experienced professionals and novices alike.?????? Dr Luke Carrivick, Director of Research & Information, ORX???Michael has established himself as one of Operational Risk???s foremost thinkers. His ability to use historical data to analyse events is unrivalled. In this must-read book, he identifies ten fundamental laws that provide every Operational Risk practitioner with a clear set of rules they can use to understand current events and predict their impacts.?????? Andrew Sheen, former Head of the FSA???s Operational Risk Review team???Michael is one of the most prominent thinkers in Operational Risk. He combines a long career in Operational Risk management and measurement with a deep, long-standing reflection on the fundamental causes, dynamics and patterns in the manifestation of Operational Risk events. He produces, with this book, a remarkable synthesis of his insightful and innovative work.?????? Dr Ariane Chapelle, Honorary Reader, University College London; Managing Partner, Chapelle Consulting???Michael is a highly respected expert in the field of Operational Risk, who has developed some ground-breaking frameworks for analysing this risk and guiding better risk management decisions. As a working practitioner in the field he brings many insights that will appeal to other practitioners as well as regulators, students and scholars.?????? Professor Elizabeth Sheedy, Macquarie Business School???Michael???s views and analysis challenge the traditional Basel II views of Operational Risk and are genuinely thought-provoking. His book on the Ten Laws of Operational Risk will give financial services clarity and a practical view, where it has been previously lacking, on how best to manage such risks.?????? Tin Lau, Group Head of Financial and Strategic Risk, TP ICAP

A comprehensive guide to credit risk management The Handbook of Credit Risk Management presents a comprehensive overview of the practice of credit risk management for a large institution. It is a guide for professionals and students wanting a deeper understanding of how to manage credit exposures.

A best practices guide to all of the elements of an effective operational risk framework While many organizations know how important operational risks are, they still continue to struggle with the best ways to identify and manage them.