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Mastering Attribution in Finance by Andrew Colin Pdf
Mastering Attribution in Finance is a comprehensive guide to how attribution is used in equity and fixed income markets. As with all Mastering titles, this book is written by an expert in the field. The book: Presents a structure overview of attribution in finance Provides a complete mathematical toolkit, including all the necessary formulae Covers all the key models, such as The Campisi model, Duration attribution, the Tim Lord model, key rate attribution, top-down attribution, Karnosky-Singer attribution model, Parametric and non-parametric yield curve models, Brinson attribution Includes tricks and techniques for trading specific types of fixed income security The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Mastering Attribution in Finance by Andrew Colin Pdf
Mastering Attribution in Finance is a comprehensive guide to how attribution is used in equity and fixed income markets. As with all Mastering titles, this book is written by an expert in the field. The book: Presents a structure overview of attribution in finance Provides a complete mathematical toolkit, including all the necessary formulae Covers all the key models, such as The Campisi model, Duration attribution, the Tim Lord model, key rate attribution, top-down attribution, Karnosky-Singer attribution model, Parametric and non-parametric yield curve models, Brinson attribution Includes tricks and techniques for trading specific types of fixed income security.
Investment Performance Attribution by David Spaulding Pdf
Investment Performance Attribution involves identifying and quantifying those activities that increase investment return above a given benchmark--and is the hottest topic in institutional investing today. Investment Performance Attribution is the first book to provide clear and in-depth coverage of how and when to use the varying forms of attribution. It makes necessarily high-level attribution mathematics accessible, and will become an essential reference for professional money managers and institutional investors.
Author : Carl R. Bacon Publisher : CFA Institute Research Foundation Page : 68 pages File Size : 50,5 Mb Release : 2019-12-23 Category : Business & Economics ISBN : 9781944960902
Performance Attribution: History and Progress by Carl R. Bacon Pdf
The objective of performance attribution is to explain portfolio performance relative to a benchmark, identify the sources of excess return, and relate those sources to active decisions by the portfolio manager. This review charts the development of attribution from its beginning with Fama decomposition in the 1970s, through its foundations in the 1980s, into its issues of multiperiod and multicurrency attribution in the 1990s, and ending on its more detailed models for fixed-income and risk-adjusted attribution in recent years. Types of attribution (including returns based, holdings based, and transaction based) are also discussed as is money-weighted attribution and developments associated with notional funds.
Power User Guide: Mastering Cryptocurrencies (2021 Edition) by Jason Savitt Pdf
Every few generations, there is a 'killer app' (i.e. the spreadsheet, email, etc.). These are apps that change the industry in such a way that changes the way people work. The current killer app is Bitcoin, because it is essentially allowing software to generate money from 'mined' data. Bitcoin also started the cryptocurrencies and Blockchain movement that is revolutionizing the financial industry. Each of these two technologies has started whole new movements that are creating new companies, wealth, and products.
This book analyses and discusses bonds and bond portfolios. Different yields and duration measures are investigated for negative and positive interest rates. The transition from a single bond to a bond portfolio leads to the equation for the internal rate of return. Its solution is analysed and compared to different approaches proposed in the financial industry. The impact of different yield scenarios on a model bond portfolio is illustrated. Market and credit risk are introduced as independent sources of risk. Different concepts for assessing credit markets are described. Lastly, an overview of the benchmark industry is offered and an introduction to convertible bonds is given. This second edition also includes a chapter on multi-currency portfolios as well as a discussion on currency hedging. This book is a valuable resource not only for students and researchers but also for professionals in the financial industry.
Advanced Portfolio Attribution Analysis by Carl R. Bacon Pdf
A new multi-contributor title presenting you with a complete range of perspectives on the very latest research, cutting-edge ideas and current approaches to portfolio return and risk attribution. Contains key information to facilitate your investment decision-making process.
Practical Portfolio Performance Measurement and Attribution by Carl R. Bacon Pdf
Performance measurement and attribution are key tools in informing investment decisions and strategies. Performance measurement is the quality control of the investment decision process, enabling money managers to calculate return, understand the behaviour of a portfolio of assets, communicate with clients and determine how performance can be improved. Focusing on the practical use and calculation of performance returns rather than the academic background, Practical Portfolio Performance Measurement and Attribution provides a clear guide to the role and implications of these methods in today's financial environment, enabling readers to apply their knowledge with immediate effect. Fully updated from the first edition, this book covers key new developments such as fixed income attribution, attribution of derivative instruments and alternative investment strategies, leverage and short positions, risk-adjusted performance measures for hedge funds plus updates on presentation standards. The book covers the mathematical aspects of the topic in an accessible and practical way, making this book an essential reference for anyone involved in asset management.
Mastering Marketing Data Science by Iain Brown Pdf
Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
Mastering Illiquidity by Thomas Meyer,Peter Cornelius,Christian Diller,Didier Guennoc Pdf
Arms investors with powerful new tools for measuring and managing the risks associated with the various illiquid asset classes With risk-free interest rates and risk premiums at record lows, many investors are turning to illiquid assets, such as real estate, private equity, infrastructure and timber, in search of superior returns and greater portfolio diversity. But as many analysts, investors and wealth managers are discovering, such investments bring with them a unique set of risks that cannot be measured by standard asset allocation models. Written by a dream team of globally renowned experts in the field, this book provides a clear, accessible overview of illiquid fund investments, focusing on what the main risks of these asset classes are and how to measure those risks in today's regulatory environment. Provides solutions for institutional investors in need of guidance in today's regulatory environment Offers detailed descriptions of risk measurement in illiquid asset classes, illustrated with real life case studies Helps you to develop reliable risk management tools while complying with the regulations designed to contain the individual and systemic risks arising from illiquid investments Features real-life case studies that capture an array of risk management scenarios you are likely to encounter
Jon A. Christopherson,David R. Carino,Wayne E. Ferson
Author : Jon A. Christopherson,David R. Carino,Wayne E. Ferson Publisher : McGraw Hill Professional Page : 18 pages File Size : 40,5 Mb Release : 2009-05-15 Category : Business & Economics ISBN : 9780071733229
Portfolio Performance Measurement and Benchmarking, Chapter 16 - Factor Model (Barra) Performance Attribution by Jon A. Christopherson,David R. Carino,Wayne E. Ferson Pdf
Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.
In an era shaped by the rapid evolution of artificial intelligence, grappling with the ethical dimensions of AI technologies has become an imperative. "Mastering AI Ethics" is a groundbreaking guide that delves deep into the complexities of AI ethics, equipping readers with the insights required to navigate the ethical challenges posed by AI innovations. About the Book: In this thought-provoking book, readers are invited to explore the intricate web of ethical considerations surrounding AI development, deployment, and societal impact. With real-world examples, case studies, and actionable frameworks, "Mastering AI Ethics" empowers readers to make informed decisions and contribute to a future where AI serves the greater good. Key Features: Foundations of Ethical AI: The book lays a strong foundation by demystifying the core concepts that underpin AI ethics. Readers will develop a clear understanding of how ethical considerations intersect with AI technologies and why these intersections are crucial. Tackling Complex Ethical Dilemmas: Through a series of real-world scenarios, readers will grapple with intricate ethical dilemmas presented by AI. The book guides readers in analyzing and evaluating these scenarios, enabling them to cultivate the critical thinking skills needed to confront ethical challenges head-on. Frameworks for Ethical Decision-Making: "Mastering AI Ethics" introduces readers to practical frameworks and models designed to facilitate ethical decision-making in AI contexts. These frameworks empower readers to weigh conflicting interests, anticipate potential harms, and arrive at ethically sound solutions. Promoting Transparency and Accountability: The book delves into the concepts of transparency and accountability in AI development and deployment. Readers will discover how to foster transparency, hold AI systems accountable, and ensure responsible use of AI technologies. Societal Implications of AI: By examining broader societal implications, the book explores how AI influences areas such as privacy, bias, fairness, and social justice. Readers will gain insights into how AI technologies can amplify existing inequalities and how to design AI systems that mitigate these effects. Collaborative Ethical Practices: "Mastering AI Ethics" underscores the significance of collaborative efforts in shaping AI ethics. Readers will learn how interdisciplinary collaboration involving ethicists, technologists, policymakers, and stakeholders can drive more ethical AI development and deployment. Exploring Future Ethical Challenges: As AI continues to evolve, so do its ethical considerations. The book provides a forward-looking perspective on emerging trends in AI ethics, from the ethical implications of AI in healthcare to the challenges posed by autonomous systems and AI-driven decision-making. Who Should Read This Book: "Mastering AI Ethics" is an indispensable resource for AI practitioners, data scientists, ethicists, policymakers, and anyone concerned with the ethical implications of AI technologies. Whether you're an AI researcher aiming to integrate ethics into your work, a business leader exploring responsible AI implementation, or a curious citizen intrigued by AI's impact on society, this book equips you with the tools to engage in meaningful discussions and drive ethical change in the AI landscape.
Mastering Machine Learning: A Comprehensive Guide to Success by Rick Spair Pdf
Welcome to "Mastering Machine Learning: A Comprehensive Guide to Success." In this book, we embark on an exciting journey into the world of machine learning (ML), exploring its concepts, techniques, and practical applications. Whether you are a beginner taking your first steps into the field or an experienced practitioner seeking to deepen your knowledge, this comprehensive guide will equip you with the tools, strategies, and insights needed to succeed in the ever-evolving landscape of ML. Machine learning is a rapidly advancing field that has revolutionized industries and transformed the way we tackle complex problems. From personalized recommendations and speech recognition systems to autonomous vehicles and medical diagnostics, machine learning has become an integral part of our daily lives. Its ability to analyze vast amounts of data, identify patterns, and make predictions has paved the way for groundbreaking advancements across various domains. However, mastering machine learning requires more than just understanding the algorithms and techniques. It requires a holistic approach that encompasses data collection and preparation, exploratory data analysis, model building, evaluation, deployment, and continuous learning. It also demands a deep understanding of the ethical and social implications of machine learning, ensuring responsible and fair use of this powerful technology. In this book, we have carefully crafted 20 comprehensive chapters that cover a wide range of topics, from the fundamentals of machine learning to advanced techniques and future trends. Each chapter provides a deep dive into a specific aspect of machine learning, offering tips, recommendations, and strategies for success. You will learn about various algorithms, data preprocessing techniques, model evaluation methods, interpretability approaches, and much more. Throughout the book, we emphasize a practical approach to machine learning. Real-world examples, case studies, and hands-on exercises are incorporated to help you gain a deeper understanding of the concepts and apply them to your own projects. We believe that active learning and practical experience are crucial for mastering machine learning, and we encourage you to explore, experiment, and build your own models. While this book serves as a comprehensive guide, it is important to note that machine learning is a rapidly evolving field. New algorithms, techniques, and technologies are constantly emerging, and staying up-to-date with the latest advancements is essential. However, the principles and foundations discussed in this book will provide you with a solid framework to adapt and navigate the ever-changing landscape of machine learning. Whether you are an aspiring data scientist, a software engineer, a researcher, or a business professional, this book is designed to be your trusted companion in your journey to mastering machine learning. By the time you reach the end, you will have gained a deep understanding of the fundamental concepts, acquired practical skills for applying machine learning in real-world scenarios, and developed the mindset needed to tackle complex challenges and drive innovation. Get ready to embark on an exciting adventure into the world of machine learning. Let's begin our journey towards mastering machine learning and unlocking its full potential. Happy learning!
Mastering the Commodities Markets by Francesca Taylor Pdf
An introduction to commodity markets covering specific commodities such as gold, oil, rare earths, aqua and agriculture. This is a comprehensive introduction to commodities markets, written so that you can quickly scan the book before a meeting and run through the specific chapter that interests you. Designed for the non-specialist, this book covers the topics from a practical perspective, and includes statistical data, screen shots, diagrams and worked examples.
