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A ground shaking exposé on the failure of popular cyber risk management methods How to Measure Anything in Cybersecurity Risk exposes the shortcomings of current «risk management» practices, and offers a series of improvement techniques that help you fill the holes and ramp up security. In his bestselling book How to Measure Anything, author Douglas W. Hubbard opened the business world's eyes to the critical need for better measurement. This book expands upon that premise and draws from The Failure of Risk Management to sound the alarm in the cybersecurity realm. Some of the field's premier risk management approaches actually create more risk than they mitigate, and questionable methods have been duplicated across industries and embedded in the products accepted as gospel. This book sheds light on these blatant risks, and provides alternate techniques that can help improve your current situation. You'll also learn which approaches are too risky to save, and are actually more damaging than a total lack of any security. Dangerous risk management methods abound; there is no industry more critically in need of solutions than cybersecurity. This book provides solutions where they exist, and advises when to change tracks entirely. Discover the shortcomings of cybersecurity's «best practices» Learn which risk management approaches actually create risk Improve your current practices with practical alterations Learn which methods are beyond saving, and worse than doing nothing Insightful and enlightening, this book will inspire a closer examination of your company's own risk management practices in the context of cybersecurity. The end goal is airtight data protection, so finding cracks in the vault is a positive thing—as long as you get there before the bad guys do. How to Measure Anything in Cybersecurity Risk is your guide to more robust protection through better quantitative processes, approaches, and techniques.
Yves Hilpisch Derivatives Analytics with Python. Data Analysis, Models, Simulation, Calibration and Hedging
Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language. This unique guide offers detailed explanations of all theory, methods, and processes, giving you the background and tools necessary to value stock index options from a sound foundation. You'll find and use self-contained Python scripts and modules and learn how to apply Python to advanced data and derivatives analytics as you benefit from the 5,000+ lines of code that are provided to help you reproduce the results and graphics presented. Coverage includes market data analysis, risk-neutral valuation, Monte Carlo simulation, model calibration, valuation, and dynamic hedging, with models that exhibit stochastic volatility, jump components, stochastic short rates, and more. The companion website features all code and IPython Notebooks for immediate execution and automation. Python is gaining ground in the derivatives analytics space, allowing institutions to quickly and efficiently deliver portfolio, trading, and risk management results. This book is the finance professional's guide to exploiting Python's capabilities for efficient and performing derivatives analytics. Reproduce major stylized facts of equity and options markets yourself Apply Fourier transform techniques and advanced Monte Carlo pricing Calibrate advanced option pricing models to market data Integrate advanced models and numeric methods to dynamically hedge options Recent developments in the Python ecosystem enable analysts to implement analytics tasks as performing as with C or C++, but using only about one-tenth of the code or even less. Derivatives Analytics with Python – Data Analysis, Models, Simulation, Calibration and Hedging shows you what you need to know to supercharge your derivatives and risk analytics efforts.
Clive Corcoran M. Systemic Liquidity Risk and Bipolar Markets. Wealth Management in Today's Macro Risk On / Risk Off Financial Environment
The dramatic and well chronicled crisis of 2007/8 marked a watershed moment for all stakeholders in global capital markets. In the aftermath, financial markets have become even more tightly coupled as correlations in returns across multiple asset classes have been at historically elevated levels. Investors and fund managers are, to a much larger degree than previously and often much more than they realize, subject to the risk of severe wealth destruction. The ultimate hazard, which is not adequately characterized by the widely touted notion of tail risk, is the systemic risk which arises when liquidity in markets completely evaporates. Not only did this happen in the second half of 2008, but it has been repeated episodically since then – most notably in May 2010, in an incident known as the Flash Crash, and in the fall of 2011 when correlations were at historically elevated levels. Conventional asset allocation tools and techniques have failed to keep apace with the changing financial landscape which has emerged since 2008. In addition to the preponderance of algorithmic trading and the associated changes in the liquidity characteristics of financial markets, a new paradigm of risk on/risk off asset allocation has emerged. Risk on/risk off is a widely adopted style of trading and macro allocation strategy where positions are taken in several closely aligned asset classes depending on the prevailing sentiment or appetite for risk. The consequences of the day to day (and intraday) switching between either a risk on or risk off tactical strategies poses significant new challenges to investors who are still making investment decisions with outmoded notions from traditional asset allocation theory. How can one cushion the impact of systemically threatening events when the ability to exit financial instruments becomes almost non existent? How can one trust the integrity of financial models and orthodox macro financial theory which have become increasingly discredited? Can central bankers be relied upon to become the counter-parties of last resort and provide a safety net under the financial system? These vital questions, and many others, need to be addressed by everyone who has a stake in modern financial markets, and they are addressed in Systemic Liquidity Risk and Bipolar Markets. Proper functioning markets require fractiousness or divided opinion, and this needs to be lubricated by communications from central bankers, economic forecasters, corporate executives and so on. As long as such messages and market conditions remain ambiguous, providing asymmetric information to different market players, then the conditions are present to enable systemic liquidity to be preserved. Seen in this context the prevailing paradigm of bipolar risk on/risk off asset allocations is both a prerequisite to liquid markets, and also paradoxically, when one side of the polarity becomes too extreme, a major source of systemic instability. Should such polarities become critically unbalanced, and should the signals received by market players become symmetrically disadvantageous as they were in the fall of 2008, then an even more substantial systemic liquidity crisis than that seen in those troubled times is a dangerous possibility. Apart from the practical risk management tools and tactics that are recommended in Systemic Liquidity Risk and Bipolar Markets, there is a provocative and cogent narrative to provide anxious and perplexed investors with a coherent explanation of the post GFC financial environment, and which should assist them in navigating the choppy waters ahead.
Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.
Praise for 60-Minute Brand Strategist "A fresh take on the wisdom of putting brand strategy at the heart of corporate strategy. Brilliant insights for a fast-moving world." —Angela Ahrendts, CEO, Burberry "Idris Mootee paints a sharp, comprehensive, and finely articulated analysis of the potential of meaningful brands in the 21st century's cultural scenario and business landscape. The result is a smart manual that reminds you and your company how to build relevant, authentic, sustainable, and successful brands in an evolving society." —Mauro Porcini, Chief Design Officer, PepsiCo Inc. "Idris's book teaches us how to engage today's increasingly cynical consumers on a deeper emotional level to build real equity and leadership. He demonstrates how to break out of the box and connect business strategy to brand strategy, and how the right brand story never really ends!" —Blair Christie, SVP and CMO, Cisco Systems, Inc. "It's rare to find a book that's both inspiring and practical but Idris nailed it! He has crafted the ultimate guide to brand building in the connected world with visual clarity and thought-provoking strategy." —Eric Ryan, cofounder, Method Products, Inc. This book is about one thing only: branding. Period. In this economy ruled by ideas, the only sustainable form of leadership is brand leadership. 60-Minute Brand Strategist offers a fast-paced, field-tested view of how branding decisions happen in the context of business strategy, not just in marketing communications. With a combi-nation of perspectives from business strategy, customer experience, and even anthropology, this new and updated edition outlines the challenges traditional branding faces in a hyper-connected world. This essential handbook of brand marketing offers an encyclopedia of do's and don'ts, including new case studies of how these concepts are being used by the world's most successful and valuable brands. 60-Minute Brand Strategist is your battle plan, filled with powerful branding tools and techniques to win your customers' hearts and defeat the competition.
If you're a working woman who wants to get ahead, S.K.I.R.T.S. in the Boardroom will equip you with the strategies you need to combine confidence and compassion, style and substance, and beauty and brains for professional success. It will help you navigate the male-dominated corporate world and keep you inspired when you're unmotivated and unsatisfied with your career. A must for any woman who wants to maximize her professional potential, this book offers sensible, straightforward, and long-overdue advice.
Use powerful C++ algorithms and Object Oriented Programming (OOP) to aid in hedge fund decision making Low interest rates, overcrowded markets and greater regulatory oversight are just some of the many reasons it is close to impossible for hedge funds to draw competitive returns. The solution for many hedge fund managers, quantitative investment analysts and risk managers is to adopt new technologies, platforms and programming languages to better manage their risks and maximise the benefits of their return profiles. Hedge Fund Modelling and Analysis is a full course in the latest analytic strategies for hedge fund investing, complete with a one-of-a-kind primer on both C++ and object oriented programming (OOP). Covering both basic and risk-adjusted performance measures, this practitioner's guide enables you to manage risk easily and make the most of key statistics with simple and advanced analysis techniques. This highly anticipated third book in the widely used Hedge Fund Modelling and Analysis series is the only guide available for applying the powerful C++ language to revolutionise hedge fund trading. Even if you've never worked with code before, the focused overview of C++ gives you everything you need to navigate the technical aspects of object oriented programming, which enables you to build sophisticated analysis programs from small units of reusable code. This book is your breakthrough introduction to winning with hedge funds in the new reality of trading. Jumpstart your new approach to beating the markets with: All the guidance and hands-on support you need to use quantitative strategies to optimise hedge fund decision-making. Illustrative modelling exercises and worked-out problems demonstrating what to expect when assessing risk and return factors in the real world. A companion website offering additional C++ programs, algorithms and data to download. Make reading Hedge Fund Modelling and Analysis your new routine and gain all the insight and relevant information you need to beat the markets.
Jon Gregory Counterparty Credit Risk and Credit Value Adjustment. A Continuing Challenge for Global Financial Markets
A practical guide to counterparty risk management and credit value adjustment from a leading credit practitioner Please note that this second edition of Counterparty Credit Risk and Credit Value Adjustment has now been superseded by an updated version entitled The XVA Challenge: Counterparty Credit Risk, Funding, Collateral and Capital. Since the collapse of Lehman Brothers and the resultant realization of extensive counterparty risk across the global financial markets, the subject of counterparty risk has become an unavoidable issue for every financial institution. This book explains the emergence of counterparty risk and how financial institutions are developing capabilities for valuing it. It also covers portfolio management and hedging of credit value adjustment, debit value adjustment, and wrong-way counterparty risks. In addition, the book addresses the design and benefits of central clearing, a recent development in attempts to control the rapid growth of counterparty risk. This uniquely practical resource serves as an invaluable guide for market practitioners, policy makers, academics, and students.
Kannoo Ravindran The Mathematics of Financial Models. Solving Real-World Problems with Quantitative Methods
Learn how quantitative models can help fight client problems head-on Before financial problems can be solved, they need to be fully understood. Since in-depth quantitative modeling techniques are a powerful tool to understanding the drivers associated with financial problems, one would need a solid grasp of these techniques before being able to unlock their full potential of the methods used. In The Mathematics of Financial Models, the author presents real world solutions to the everyday problems facing financial professionals. With interactive tools such as spreadsheets for valuation, pricing, and modeling, this resource combines highly mathematical quantitative analysis with useful, practical methodologies to create an essential guide for investment and risk-management professionals facing modeling issues in insurance, derivatives valuation, and pension benefits, among others. In addition to this, this resource also provides the relevant tools like matrices, calculus, statistics and numerical analysis that are used to build the quantitative methods used. Financial analysts, investment professionals, risk-management professionals, and graduate students will find applicable information throughout the book, and gain from the self-study exercises and the refresher course on key mathematical topics. Equipped with tips and information, The Mathematics of Financial Models Provides practical methodologies based on mathematical quantitative analysis to help analysts, investment and risk-management professionals better navigate client issues Contains interactive tools that demonstrate the power of analysis and modeling Helps financial professionals become more familiar with the challenges across a range of industries Includes a mathematics refresher course and plenty of exercises to get readers up to speed The Mathematics of Financial Models is an in-depth guide that helps readers break through common client financial problems and emerge with clearer strategies for solving issues in the future.
Frank Travers J. Hedge Fund Analysis. An In-Depth Guide to Evaluating Return Potential and Assessing Risks
A detailed, step-by-step book covering the entire hedge fund evaluation process Investing in hedge funds is different from investing in other asset classes. There is much less publicly available information about hedge funds performance than there is about mutual funds or individual stocks. Consequently, investing in this class requires more sophisticated investment knowledge, greater due diligence, and, in many cases, a better-developed ability to evaluate investment managers. Hedge Fund Analysis provides a broad framework of how to approach this endeavor, from initial screening to analytical techniques, interviewing skills, and legal and contract negotiations. Along the way, it demonstrates a variety of mechanisms for monitoring and tracking hedge funds and the underlying hedge fund portfolios—explaining each stage of the process in minute detail and providing specific examples which fully explain the opportunities and challenges you'll face each step of the way. Provides a detailed look at how to source hedge funds, screen through them, and rank their strengths and weaknesses Lays out a thorough process for evaluating funds, from initial interviews to performance analysis to onsite meetings Reveals what questions to ask by strategy in order to understand the underlying risk factors associated with each Highlights non-investment analysis, including operational due diligence and risk management, as integral elements in the process Written by a financial professional with over twenty years of experience conducting investment manager due diligence, this book will put you in a position to make more informed decisions when investing in hedge funds.
A feasible asset allocation framework for the post 2008 financial world Asset allocation has long been a cornerstone of prudent investment management; however, traditional allocation plans failed investors miserably in 2008. Asset allocation still remains an essential part of the investment arena, and through a new approach, you'll discover how to make it work. In The New Science of Asset Allocation, authors Thomas Schneeweis, Garry Crowder, and Hossein Kazemi first explore the myths that plague this field then quickly move on to examine how the practice of asset allocation has failed in recent years. They then propose new allocation models that employ liquidity, transparency, and real risk controls across multiple asset classes. Outlines a new approach to asset allocation in a post-2008 world, where risk seems hidden The «great manager» problem is examined with solutions on how to capture manager alpha while limiting downside risk A complete case study is presented that allocates for beta and alpha Written by an experienced team of industry leaders and academic experts, The New Science of Asset Allocation explains how you can effectively apply this approach to a financial world that continues to change.
Essential insights on the various aspects of financial derivatives If you want to understand derivatives without getting bogged down by the mathematics surrounding their pricing and valuation, Financial Derivatives is the book for you. Through in-depth insights gleaned from years of financial experience, Robert Kolb and James Overdahl clearly explain what derivatives are and how you can prudently use them within the context of your underlying business activities. Financial Derivatives introduces you to the wide range of markets for financial derivatives. This invaluable guide offers a broad overview of the different types of derivatives-futures, options, swaps, and structured products-while focusing on the principles that determine market prices. This comprehensive resource also provides a thorough introduction to financial derivatives and their importance to risk management in a corporate setting. Filled with helpful tables and charts, Financial Derivatives offers a wealth of knowledge on futures, options, swaps, financial engineering, and structured products. Discusses what derivatives are and how you can prudently implement them within the context of your underlying business activities Provides thorough coverage of financial derivatives and their role in risk management Explores financial derivatives without getting bogged down by the mathematics surrounding their pricing and valuation This informative guide will help you unlock the incredible potential of financial derivatives.
Irene Aldridge Real-Time Risk. What Investors Should Know About FinTech, High-Frequency Trading, and Flash Crashes
Risk management solutions for today's high-speed investing environment Real-Time Risk is the first book to show regular, institutional, and quantitative investors how to navigate intraday threats and stay on-course. The FinTech revolution has brought massive changes to the way investing is done. Trading happens in microsecond time frames, and while risks are emerging faster and in greater volume than ever before, traditional risk management approaches are too slow to be relevant. This book describes market microstructure and modern risks, and presents a new way of thinking about risk management in today's high-speed world. Accessible, straightforward explanations shed light on little-understood topics, and expert guidance helps investors protect themselves from new threats. The discussion dissects FinTech innovation to highlight the ongoing disruption, and to establish a toolkit of approaches for analyzing flash crashes, aggressive high frequency trading, and other specific aspects of the market. Today's investors face an environment in which computers and infrastructure merge, regulations allow dozens of exchanges to coexist, and globalized business facilitates round-the-clock deals. This book shows you how to navigate today's investing environment safely and profitably, with the latest in risk-management thinking. Discover risk management that works within micro-second trading Understand the nature and impact of real-time risk, and how to protect yourself Learn why flash crashes happen, and how to mitigate damage in advance Examine the FinTech disruption to established business models and practices When technology collided with investing, the boom created stratospheric amounts of data that allows us to plumb untapped depths and discover solutions that were unimaginable 20 years ago. Real-Time Risk describes these solutions, and provides practical guidance for today's savvy investor.
Develop the skills to manage risk in the high-stakes world of financial speculation The Risk of Trading is a practical resource that takes an in-depth look at one of the most challenging factors of trading—risk management. The book puts a magnifying glass on the issue of risk, something that every trader needs to understand in order to be successful. Most traders look at risk in terms of a «stop-loss» that enables them to exit a losing trade quickly. In The Risk of Trading, Michael Toma explains that risk is ever-present in every aspect of trading and advocates that traders adopt a more comprehensive view of risk that encompasses the strategic trading plan, account size, drawdowns, maximum possible losses, psychological capital, and crisis management. Shows how to conduct a detailed statistical analysis of an individual's trading methodology through back-testing and real-time results so as to identify when the methodology may be breaking down in actual trading Reveals why traders should think of themselves as project managers who are strategically managing risk The book is based on the author's unique 'focus on the risk' approach to trading using data-driven risk statistical analytics Using this book as a guide, traders can operate more as business managers and learn how to avoid market-busting losses while achieving consistently good results.
Winning techniques and strategies for nonprofits and government agencies in creating successful and critical key performance indicators By exploring measures that have transformed businesses, David Parmenter has developed a methodology that is breathtaking in its simplicity and yet profound in its impact. Key Performance Indicators for Government and Nonprofit Agencies: Implementing Winning KPIs is a proactive guide representing a significant shift in the way KPIs are developed and used, with an abundance of implementation tools for government agencies and nonprofit groups. Implementation variations and short cuts for government and not-for-profit organizations How to brainstorm performance measures Templates for reporting performance measures A resource kit for a consultant who is acting as a coach / facilitator to the in-house project team Also by David Parmenter: Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, Second Edition Filled with numerous case studies and checklists to help readers develop their KPIs, this book shows government agencies and nonprofits how to select and implement winning key performance indicators to ensure that their performance management initiatives are successful.
Domenic Antonucci The Cyber Risk Handbook. Creating and Measuring Effective Cybersecurity Capabilities