Bøger i Wiley Finance serien

PSYCHOLOGY TRADING TACTICS MONEY MANAGEMENT You have just taken a big step away from the crowd of amateurs. By opening Trading for a Living, you've resolved to become a successful trader. Dr. Alexander Elder is a professional trader, a world-class expert in technical analysis, and a practicing psychiatrist. He believes that successful trading is based on three M's: Mind, Method, and Money. First, you will see that the key to winning is inside your Mind. You will find out how to develop discipline and how to avoid the traps of emotional trading. Second, you will learn how to find good trades by using charts, computerized indicators, and other tools. You will discover how to combine several analytic Methods into a powerful trading system. Finally, you will learn how to manage Money in your trading account. The rules for limiting risks are as vital to a trader as a safety net is to a high-wire walker. With this book, you are on your way to mastering a new way of trading stocks, futures, currencies, and options. Dr. Alexander Elder helps you embark on an intense pursuit--trading for a living.

Understand the role and potential of fixed income as an asset classSystematic Fixed Income: An Investor's Guide offers readers a powerful, practical, and robust framework for investors and asset managers to preserve the diversifying properties of a fixed income allocation, and add to that unique sources of excess returns via systematic security selection. In other words, this framework allows for efficient capture of fixed income beta and fixed income alpha.Celebrated finance professional Dr. Scott Richardson presents concrete strategies for identifying the relevant sources of risk and return in public fixed income markets and explains the tactical and strategic roles played by fixed income in typical portfolios. In the book, readers will explore:* The implementation challenges associated with a systematic fixed income portfolio, including liquidity and risk* The systematic return sources for rate and credit sensitive fixed income assets in both developed and emerging marketsAn essential read for asset managers and institutional investors with a professional interest in fixed income markets, Systematic Fixed Income: An Investor's Guide deserves a place in the libraries of advanced degree students of finance, business, and investment, as well as other investment professionals seeking to refine their understanding of the full potential of this foundational asset class.

Discover analytical tools and practices to help improve the quality of risk management in government organizations Federal agencies increasingly recognize the importance of active risk management to help ensure that they can carry out their missions.

In the newly revised Second Edition of Fundamentals of Financial Instruments: An Introduction to Stocks, Bonds, Foreign Exchange, and Derivatives, renowned finance trainer Sunil Parameswaran delivers a comprehensive introduction to the full range of financial products commonly offered in the financial markets.Using clear, worked examples of everything from basic equity and debt securities to complex instruments--like derivatives and mortgage-backed securities - the author outlines the structure and dynamics of the free-market system and explores the environment in which financial instruments are traded. This one-of-a-kind book also includes:* New discussions on interest rate derivatives, bonds with embedded options, mutual funds, ETFs, pension plans, financial macroeconomics, orders and exchanges, and Excel functions for finance* Supplementary materials to enhance the reader's ability to apply the material contained within* A foundational exploration of interest rates and the time value of moneyFundamentals of Financial Instruments is the ideal resource for business school students at the undergraduate and graduate levels, as well as anyone studying financial management or the financial markets. It also belongs on the bookshelves of executive education students and finance professionals seeking a refresher on the fundamentals of their industry.

This book is a detailed and step-by-step introduction to the mathematical foundations of ordinary and partial differential equations, their approximation by the finite difference method and applications to computational finance. The book is structured so that it can be read by beginners, novices and expert users.Part A Mathematical Foundation for One-Factor ProblemsChapters 1 to 7 introduce the mathematical and numerical analysis concepts that are needed to understand the finite difference method and its application to computational finance.Part B Mathematical Foundation for Two-Factor ProblemsChapters 8 to 13 discuss a number of rigorous mathematical techniques relating to elliptic and parabolic partial differential equations in two space variables. In particular, we develop strategies to preprocess and modify a PDE before we approximate it by the finite difference method, thus avoiding ad-hoc and heuristic tricks.Part C The Foundations of the Finite Difference Method (FDM)Chapters 14 to 17 introduce the mathematical background to the finite difference method for initial boundary value problems for parabolic PDEs. It encapsulates all the background information to construct stable and accurate finite difference schemes.Part D Advanced Finite Difference Schemes for Two-Factor ProblemsChapters 18 to 22 introduce a number of modern finite difference methods to approximate the solution of two factor partial differential equations. This is the only book we know of that discusses these methods in any detail.Part E Test Cases in Computational FinanceChapters 23 to 26 are concerned with applications based on previous chapters. We discuss finite difference schemes for a wide range of one-factor and two-factor problems.This book is suitable as an entry-level introduction as well as a detailed treatment of modern methods as used by industry quants and MSc/MFE students in finance. The topics have applications to numerical analysis, science and engineering.More on computational finance and the author's online courses, see www.datasim.nl.

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.

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.

In-depth coverage in a single handbook of the middle market based on the body of knowledge of the Certified M&A Advisor credential program M&A advisors have an unprecedented opportunity in the middle market with the generational transfer of wealth and capital being deployed by private equity and corporate investors.

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

Fixed income practitioners need to understand the conceptual frameworks of their field; to master its quantitative tool-kit; and to be well-versed in its cash-flow and pricing conventions. Fixed Income Securities, Third Edition by Bruce Tuckman and Angel Serrat is designed to balance these three objectives.

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.

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.

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.

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.

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.

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 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.

A unique, authoritative, and comprehensive treatment of fixed income marketsFixed Income Trading and Risk Management: The Complete Guide delivers a comprehensive and innovative exposition of fixed income markets. Written by European Central Bank portfolio manager Alexander During, this book takes a practical view of how several different national fixed income markets operate in detail.The book presents common theoretical models but adds a lot of information on the actually observed behavior of real markets. You'll benefit from the book's:* Fulsome overview of money, credit, and monetary policy* Description of cash instruments, inflation-linked debt, and credit claims* Analysis of derivative instruments, standard trading strategies, and data analysis* In-depth focus on risk management in fixed income marketsPerfect for new and junior staff in financial institutions working in sales and trading, risk management, back office operations, and portfolio management positions, Fixed Income Trading and Risk Management also belongs on the bookshelves of research analysts and postgraduate students in finance, economics, or MBA programs.

Tackle infrastructure development projects in emerging markets with confidenceIn Project Finance: Applications and Insights to Emerging Markets Infrastructure, distinguished professor and author Paul Clifford insightfully applies the fundamental principles of project finance structuring to infrastructure investments in emerging markets.Using leading emerging market case studies to illuminate the underlying themes of the book, the author provides a practitioner's perspective and incisive analysis of concepts crucial to a complete understanding of project finance in emerging markets, including:* Risk management* ESG and impact investing* The emergence of new global multilateral development banks* China's Belt and Road InitiativeProject Finance bridges the gap between theoretical infrastructure development, investment, and finance and the implementation of that theory with instructive and applicable case studies. Throughout, the author relies on a grounded and quantitative approach, combining the principles of corporate finance with straightforward explanations of underlying technologies, frameworks, and national policies.This book is an invaluable resource for undergraduate and graduate students in finance, as well as professionals who are expected to deal with project and infrastructure finance in emerging markets.

Stress-test financial models and price credit instruments with confidence and efficiency using the perturbation approach taught in this expert volumePerturbation Methods in Credit Derivatives: Strategies for Efficient Risk Management offers an incisive examination of a new approach to pricing credit-contingent financial instruments. Author and experienced financial engineer Dr. Colin Turfus has created an approach that allows model validators to perform rapid benchmarking of risk and pricing models while making the most efficient use possible of computing resources.The book provides innumerable benefits to a wide range of quantitative financial experts attempting to comply with increasingly burdensome regulatory stress-testing requirements, including:* Replacing time-consuming Monte Carlo simulations with faster, simpler pricing algorithms for front-office quants* Allowing CVA quants to quantify the impact of counterparty risk, including wrong-way correlation risk, more efficiently* Developing more efficient algorithms for generating stress scenarios for market risk quants* Obtaining more intuitive analytic pricing formulae which offer a clearer intuition of the important relationships among market parameters, modelling assumptions and trade/portfolio characteristics for tradersThe methods comprehensively taught in Perturbation Methods in Credit Derivatives also apply to CVA/DVA calculations and contingent credit default swap pricing.

The comprehensive M&A guide, updated to reflect the latest changes in the M&A environment M&A, Second Edition provides a practical primer on mergers and acquisitions for a broad base of individuals numbering in the hundreds of thousands: Investment bankers involved with mergers and acquisitions (M&A).

The definitive guide to risk arbitrage, fully updated with new laws, cases, and techniques Risk Arbitrage is the definitive guide to the field and features a comprehensive overview of the theory, techniques, and tools that traders and risk managers need to be effective.

? This Workbook, which can be used in tandem with Financial Statement Analysis, Fourth Edition will allow readers to test their knowledge of the process of reading and analyzing financial statements, before putting it to use in the real world.

Despite the material failure rates in M&A, managers pulling the trigger on key strategic decisions can make them work if they spend great care and rigor in the development of their M&A deals. Applied Mergers and Acquisitions addresses the drivers of M&A success and failure for both professionals and students.

Sharpen your understanding of the financial markets with this incisive volumeEquity Markets, Valuation, and Analysis brings together many of the leading practitioner and academic voices in finance to produce a comprehensive and empirical examination of equity markets.Masterfully written and edited by experts in the field, Equity Markets, Valuation, and Analysis introduces the basic concepts and applications that govern the area before moving on to increasingly intricate treatments of sub-fields and market trends. The book includes in-depth coverage of subjects including:* The latest trends and research from across the globe* The controversial issues facing the field of valuation and the future outlook for the field* Empirical evidence and research on equity markets* How investment professionals analyze and manage equity portfoliosThis book balances its comprehensive discussion of the empirical foundations of equity markets with the perspectives of financial experts. It is ideal for professional investors, financial analysts, and undergraduate and graduate students in finance.

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.

Make AI technology the backbone of your organization to compete in the Fintech eraThe rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you'll be able to build an asset management firm from the ground up--or revolutionize your existing firm--using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren't integrating AI in the strategic DNA of your firm, you're at risk of being left behind.* See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework* Learn how to build AI into your organization to remain competitive in the world of Fintech* Go beyond siloed AI implementations to reap even greater benefits* Understand and overcome the governance and leadership challenges inherent in AI strategyUntil now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.

Addresses significant developments in the valuation of early stage enterprises at fair value with emphasis on practical applications--features a broad selection of case studies of early stage valuationEarly Stage Valuation: A Fair Value Perspective provides a comprehensive review of the current methodologies used to value Early Stage Enterprises (ESEs) at fair value for financial reporting, investment, and mergers and acquisitions. Author Antonella Puca, Senior Director with Alvarez & Marsal Valuation Services in New York, provides accurate, up-to-date information on recent guidelines and new approaches for valuation assessments.This authoritative guide examines how to apply market analysis, discounted cash flows models, statistical techniques such as option pricing models (OPM) and Monte Carlo simulation, the venture capital method and non-GAAP metrics to ESE valuation. The text considers the most recent AICPA, Appraisal Foundation and IPEV guidance, and examines developments in both academic research and venture capital investor practice. Numerous real-world case studies illustrate early stage valuation suitable for structuring sound, internally consistent business transactions. Covering current trends and the latest regulatory guidance in the area, this book:* Provides step-by-step guidance on practical valuation applications* Reflects current standards for ESE valuation, including the AICPA Guide to the Valuation of Portfolio Company Investments, the IPEV guidelines and guidance from the Appraisal Foundation* Covers new approaches to the valuation of ESEs with option pricing models, Monte Carlo Simulation, calibration and non-GAAP metrics* Offers an overview of start-up valuation* Discusses how intangible assets are impacting the valuation of ESEsThe book also includes contributions from Neil Beaton, Andreas Dal Santo, Alexander Davie, John Jackman and Mark Zyla.Early Stage Valuation: A Fair Value Perspective is an essential resource for valuation specialists, private equity and venture capital fund managers, analysts, attorneys, investment bankers, regulators and auditors, and investors with interest in the private equity and venture capital industry.