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A thorough guide to technical analysis methods applied for success in the options market Though still not widely practiced or accepted in the options market, technical analysis is becoming increasingly common. As the practice spreads, traders are discovering how useful technical analysis is for determining clear entry and exit signals. Trading Options: Using Technical Analysis to Design Winning Trades takes the standard technical analysis approach and applies it to the options market. Author Greg Harmon combines technical analysis with a deep understanding of the options market to explain how to design technically created trades that lead to outsized gains with low costs of entry and managed risk. The book covers trend determination, security identification and selection, tools and trade design, and executing, hedging, and adjusting trades. Ideal for individual investors and options traders Identifies and applies mainstream technical analysis methods to the volatile options market Perfect for stock traders that wish to delve in to technical analysis and options Written by the founder of Dragonfly Capital Management, which provides daily technical analysis of securities markets and trade ideas, and CIO of Presidium Capital Management which provides money management for clients
The market approach aims to establish the value of a company based on how similar firms are priced on the stock exchange or through company transactions. Using the market approach, price-related indicators such as price to earnings, sales and book values are utilised. An ever-present problem however, is that different valuation multiples and valuation methodologies tend to provide the analyst with contradictory outputs. The solution to this problem so far has been to claim that the market approach is more art than science, thus providing the analyst with the freedom to alter the multiples at their own discretion to reach a uniform value or range. Valuation: The Market Approach puts an end to this problem, providing the reader with a rational scientific-based understanding and the necessary tools to perform a sound market approach valuation, or if reviewing such valuations, provide the tools to challenge the work of the arts-based senior experts. The book begins with an in-depth review of the basics; which is then applied in a detailed worked example. Step-by-step, the reader’s expertise is built towards a complete understanding and implementation of the market approach, not only on a standalone basis but also in relation to the DCF methodology. The book is aimed at the seasoned professional, but will also be invaluable to students as they apply their academic knowledge to the real world of valuation and M&A. About the author: SETH BERNSTROM is a Director at the Valuations practice of PwC. He has 15 years of experience as a valuation expert with a special focus on private equity, with long-running engagements in Valuation for some of the leading Nordic private equity houses. Additionally, he provides valuation support and valuation-related advisory services to large and medium-sized Nordic and (Nordic-based) global companies. In addition to his regular work at PwC, he also acts as Visiting Lecturer on valuation at KTH Royal Institute of Technology in Stockholm. Furthermore, he often gives lectures and seminars on valuation at other leading Nordic universities, investment banks, companies, and organizations. He holds a Master of Science in Business Administration and Economics from the Stockholm University School of Business.
A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. It includes Decision Requirements Analysis (DRA), a new method for taking the crucial first step in any IT project to implement decision management: defining a set of business decisions and identifying all the information—business knowledge and data—required to make those decisions. Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions Proposes a simple «top-down» method for defining decision requirements and representing them in a single diagram Shows how clear requirements can allow decision management projects to be run with reduced risk and increased profit Nontechnical and accessible, Knowledge Automation reveals how DRA is destined to become a standard technique in the business analysis and project management toolbox.
Clark and Mingyuan start with an insightful and comprehensive description of how market participants contributed to the current crisis in the residential mortgage markets and the root causes of the crisis. They then proceed to develop a new residential mortgage lending system that can fix our broken markets because it addresses the root causes. The most impressive attributes of their new system is its commonsense return to the basics of traditional underwriting, combined with factors based on expert judgment and statistics and forward-looking attributes, all of which can be updated as markets change. The whole process is transparent to the borrower, lender, and investor. —Dean Schultz, President and CEO, Federal Home Loan Bank of San Francisco «The credit market crisis of 2008 has deeply affected the economic lives of every American. Yet, its underlying causes and its surface features are so complex that many observers and even policymakers barely understand them. This timely book will help guide nonspecialists through the workings of financial markets, particularly how they value, price, and distribute risk.» —Professor William Greene, Stern School of Business, New York University «This book is a well-timed departure from much of what is being written today regarding the current foreclosure and credit crisis. Rather than attempting to blame lenders, borrowers, and/or federal regulators for the mortgage meltdown and the subsequent impacts on the financial markets, Clark and Mingyuan have proposed a groundbreaking new framework to revolutionize our current lending system. The book is built on the authors' deep understanding of risk and the models used for credit analysis, and reflects their commitment to solve the problem. What I find most profound is their passion to develop a system that will facilitate new and better investment, especially in underserved urban markets that have been disproportionately impacted in the current crisis. I applaud the authors for this important work, and urge practitioners and theorists alike to investigate this new approach.» —John Talmage, President and CEO, Social Compact «In the wake of the credit crisis, it is clear that transparency is the key to not repeating history. In Credit Risk Assessment: The New Lending System for Borrowers, Lenders and Investors, Clark Abrahams and Mingyuan Zhang describe a new lending framework that seeks to connect all the players in the lending chain and provide a more holistic view of customers' risk potential. As the financial services industry recovers from the mortgage meltdown, the Abrahams/Zhang lending model certainly offers some new food for thought to laymen and professionals alike.» —Maria Bruno-Britz, Senior Editor, Bank Systems & Technology magazine
A practical guide to getting personal investing right Somewhere along the way, something has gone very wrong with the way individuals save and invest. Too often, households are drawn in by promotional suggestions masquerading as impartial investment advice. Consumers get saddled with more risk than they realize. Authors Zvi Bodie and Rachelle Taqqu understand the dilemma that today's investors face, and with Risk Less and Prosper they will help you find your financial footing. Written in an accessible style, this practical guide skillfully explains why personal investing is all about you—your goals, your values and your career path. It shows how to understand investment risk and choose the particular blend of risk and safety that is right for you. And it lays out several simple yet powerful ways for small investors to cast a reliable safety net to achieve their financial goals and truly prosper. Coauthors Bodie and Taqqu challenge the myth that all investments require risk, then highlight some important risks that families often disregard when deciding where to put their money. Later, they connect the dots between investment and investor, showing us all how to grasp our own investment risk profiles and how we may use these insights to make more fitting investment choices. Outlines a straightforward way to invest by aligning your investments with your goals and the risk levels you can bear Provides basic investment abc's for readers who are otherwise literate Lays out a simple, actionable plan for achieving your goals Explains the role of risk-free assets and investment insurance in assuring that you reach your most essential goals Contrary to popular belief, investing doesn't have to be complicated. You can build wealth without taking great risks. Risk Less and Prosper will show you how to make investment decisions that will make your financial life less stressful and more profitable.
Michael Samonas Financial Forecasting, Analysis and Modelling. A Framework for Long-Term Forecasting
Risk analysis has become critical to modern financial planning Financial Forecasting, Analysis and Modelling provides a complete framework of long-term financial forecasts in a practical and accessible way, helping finance professionals include uncertainty in their planning and budgeting process. With thorough coverage of financial statement simulation models and clear, concise implementation instruction, this book guides readers step-by-step through the entire projection plan development process. Readers learn the tools, techniques, and special considerations that increase accuracy and smooth the workflow, and develop a more robust analysis process that improves financial strategy. The companion website provides a complete operational model that can be customised to develop financial projections or a range of other key financial measures, giving readers an immediately-applicable tool to facilitate effective decision-making. In the aftermath of the recent financial crisis, the need for experienced financial modelling professionals has steadily increased as organisations rush to adjust to economic volatility and uncertainty. This book provides the deeper level of understanding needed to develop stronger financial planning, with techniques tailored to real-life situations. Develop long-term projection plans using Excel Use appropriate models to develop a more proactive strategy Apply risk and uncertainty projections more accurately Master the Excel Scenario Manager, Sensitivity Analysis, Monte Carlo Simulation, and more Risk plays a larger role in financial planning than ever before, and possible outcomes must be measured before decisions are made. Uncertainty has become a critical component in financial planning, and accuracy demands it be used appropriately. With special focus on uncertainty in modelling and planning, Financial Forecasting, Analysis and Modelling is a comprehensive guide to the mechanics of modern finance.
An overview of today's energy markets from a multi-commodity perspective As global warming takes center stage in the public and private sectors, new debates on the future of energy markets and electricity generation have emerged around the world. The Second Edition of Managing Energy Risk has been updated to reflect the latest products, approaches, and energy market evolution. A full 30% of the content accounts for changes that have occurred since the publication of the first edition. Practitioners will appreciate this contemporary approach to energy and the comprehensive information on recent market influences. A new chapter is devoted to the growing importance of renewable energy sources, related subsidy schemes and their impact on energy markets. Carbon emissions certificates, post-Fukushima market shifts, and improvements in renewable energy generation are all included. Further, due to the unprecedented growth in shale gas production in recent years, a significant amount of material on gas markets has been added in this edition. Managing Energy Risk is now a complete guide to both gas and electricity markets, and gas-specific models like gas storage and swing contracts are given their due. The unique, practical approach to energy trading includes a comprehensive explanation of the interactions and relations between all energy commodities. Thoroughly revised to reflect recent changes in renewable energy, impacts of the financial crisis, and market fluctuations in the wake of Fukushima Emphasizes both electricity and gas, with all-new gas valuation models and a thorough description of the gas market Written by a team of authors with theoretical and practical expertise, blending mathematical finance and technical optimization Covers developments in the European Union Emissions Trading Scheme, as well as coal, oil, natural gas, and renewables The latest developments in gas and power markets have demonstrated the growing importance of energy risk management for utility companies and energy intensive industry. By combining energy economics models and financial engineering, Managing Energy Risk delivers a balanced perspective that captures the nuances in the exciting world of energy.
Flex your project management muscle Agile project management is a fast and flexible approach to managing all projects, not just software development. By learning the principles and techniques in this book, you'll be able to create a product roadmap, schedule projects, and prepare for product launches with the ease of Agile software developers. You'll discover how to manage scope, time, and cost, as well as team dynamics, quality, and risk of every project. As mobile and web technologies continue to evolve rapidly, there is added pressure to develop and implement software projects in weeks instead of months—and Agile Project Management For Dummies can help you do just that. Providing a simple, step-by-step guide to Agile project management approaches, tools, and techniques, it shows product and project managers how to complete and implement projects more quickly than ever. Complete projects in weeks instead of months Reduce risk and leverage core benefits for projects Turn Agile theory into practice for all industries Effectively create an Agile environment Get ready to grasp and apply Agile principles for faster, more accurate development.
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.
Credit and credit risk permeates every corner of the financial world. Previously credit tended to be acknowledged only when dealing with counterparty credit risk, high-yield debt or credit-linked derivatives, now it affects all things, including such fundamental concepts as assessing the present value of a future cash flow. The purpose of this book is to analyze credit from the beginning—the point at which any borrowing entity (sovereign, corporate, etc.) decides to raise capital through its treasury operation. To describe the debt management activity, the book presents examples from the development banking world which not only presents a clearer banking structure but in addition sits at the intersection of many topical issues (multi-lateral agencies, quasi-governmental entities, Emerging Markets, shrinking pool of AAA borrowers, etc.). This book covers: Curve construction (instruments, collateralization, discounting, bootstrapping) Credit and fair valuing of loans (modeling, development institutions) Emerging markets and liquidity (liquidity, credit, capital control, development) Bond pricing (credit, illiquid bonds, recovery pricing) Treasury (funding as an asset swap structure, benchmarks for borrowing/investing) Risk and asset liability management (leverage, hedging, funding risk)
The only comprehensive guide to reaping big returns investing in the hottest new growth markets This book makes a compelling case that, just as today's well-rounded portfolio includes emerging market funds, tomorrow's well-rounded portfolio will include frontier market funds. More importantly, it alerts you to the vast opportunities and potential pitfalls of investing in frontier markets while providing expert advice and guidance on how to research and invest in the most promising frontier growth markets. Widely considered to be the next emerging markets, frontier markets, such as those of certain sub-Saharan African, Eastern European, Asian, and Central and South American countries, are showing strong signs of reaching economic critical mass. If you are an investor on the lookout for authoritative, actionable information on the next big investment opportunity, this book is for you. Provides sector-by-sector analyses that let you assess opportunities and risks in each frontier market Provides strategies and tools for determining the most efficient methods for executing, monitoring, and exiting investments Guides you through the wide diversity within frontier markets, showing how to differentiate countries on the basis of economic development and wealth distribution and other factors
A groundbreaking exploration of the critical ethical issues in financial theory and practice Compiled by volume editor John Boatright, Finance Ethics consists of contributions from scholars from many different finance disciplines. It covers key issues in financial markets, financial services, financial management, and finance theory, and includes chapters on market regulation, due diligence, reputational risk, insider trading, derivative contracts, hedge funds, mutual and pension funds, insurance, socially responsible investing, microfinance, earnings management, risk management, bankruptcy, executive compensation, hostile takeovers, and boards of directors. Special attention is given to fairness in markets and the delivery of financial services, and to the duties of fiduciaries and agents Rigorous analysis of the topics covered provides essential information and practical guidance for practitioners in finance as well as for students and academics with an interest in finance ethics Ethics in Finance skillfully explains the need for ethics in the personal conduct of finance professionals and the operation of financial markets and institutions.
Bart Baesens Analytics in a Big Data World. The Essential Guide to Data Science and its Applications
The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
In the wake of the recent financial crisis, many will agree that it is time for a fresh approach to portfolio management. The Complete Guide to Portfolio Construction and Management provides practical investment advice for building a robust, diversified portfolio. Written by a high-profile investment adviser, this book reveals a practical portfolio management framework and new approach to portfolio construction based on four key market forces: macro, fundamental, technical, and behavioural. It is an insight that takes the focus off numbers, looking instead at the role of risk and behavior in finance. As we have seen with the recent finance meltdown, traditional portfolio management techniques are flawed. Investors need to understand those flaws and learn how to incorporate risk management and behavioral finance into their asset management strategies. With a foreword by industry leader Francois-Serge L'habitant, this is your one-stop guide, with new ways for you to manage, grow and preserve your investment portfolio, even in uncertain markets.
Believing «high-risk equals high-reward» is holding your portfolio hostage High Returns from Low Risk proves that low-volatility, low-risk portfolios beat high-volatility portfolios hands down, and shows you how to take advantage of this paradox to dramatically improve your returns. Investors traditionally view low-risk stocks as safe but unprofitable, but this old canard is based on a flawed premise; it fails to see beyond the monthly horizon, and ignores compounding returns. This book updates the thinking and brings reality to modelling to show how low-risk stocks actually outperform high-risk stocks by an order of magnitude. Easy to read and easy to implement, the plan presented here will help you construct a portfolio that delivers higher returns per unit of risk, and explains how to achieve excellent investment results over the long term. Do you still believe that investors are rewarded for bearing risk, and that the higher the risk, the greater the reward? That old axiom is holding you back, and it is time to start seeing the whole picture. This book shows you, through deep historical simulation, how to reap the rewards of smarter investing. Learn how and why low-risk, low-volatility stocks beat the market Discover the formula that outperforms Greenblatt's Construct your own low-risk portfolio Select the right ETF or low-risk fund to manage your money Great returns and lower risk sound like a winning combination – what happens once everyone is doing it? The beauty of the low-risk strategy is that it continues to work even after the paradox is widely known; long-term investment success is possible for anyone who can shake off the entrenched wisdom and go low-risk. High Returns from Low Risk provides the proof, model and strategy to reign in your exposure while raking in the profit.