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Author: Mark Guthner
Publisher: McGraw Hill Professional
ISBN: 0071790624
Category : Business & Economics
Languages : en
Pages : 337
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Book Description
A breakthrough methodology for profiting in the high-yield and distressed debt market Global advances in technology give investors and asset managers more information at their fingertips than ever before. With Quantitative Analytics in Debt Valuation and Management, you can join the elite club of quantitative investors who know how to use that information to beat the market and their competitors. This powerful guide shows you how to sharpen your analytical process by considering valuable information hidden in the prices of related assets. Quantitative Analytics in Debt Valuation and Management reveals a progressive framework incorporating debt valuation based on the interrelationships among the equity, bond, and options markets. Using this cutting-edge method in conjunction with traditional debt and equity analysis, you will reduce portfolio risk, find assets with the highest returns, and generate dramatically greater profits from your transactions. This book’s “fat-free” presentation and easy-to-navigate format jump-starts busy professionals on their way to mastering proven techniques to: Determine the “equity risk” inherent in corporate debt to establish the causal relationship between a company’s debt, equity, and asset values Price and analyze corporate debt in real time by going beyond traditional methods for computing capital requirements and anticipated losses Look with an insider’s eye at risk management challenges facing banks, hedge funds, and other institutions operating with financial leverage Avoid the mistakes of other investors who contribute to the systemic risk in the financial system Additionally, you will be well prepared for the real world with the book’s focus on practical application and clear case studies. Step-by-step, you will see how to improve bond pricing and hedge debt with equity, and how selected investment management strategies perform when the model is used to drive decision making.
Author: Mark Guthner
Publisher: McGraw Hill Professional
ISBN: 0071790624
Category : Business & Economics
Languages : en
Pages : 337
Get Book Here
Book Description
A breakthrough methodology for profiting in the high-yield and distressed debt market Global advances in technology give investors and asset managers more information at their fingertips than ever before. With Quantitative Analytics in Debt Valuation and Management, you can join the elite club of quantitative investors who know how to use that information to beat the market and their competitors. This powerful guide shows you how to sharpen your analytical process by considering valuable information hidden in the prices of related assets. Quantitative Analytics in Debt Valuation and Management reveals a progressive framework incorporating debt valuation based on the interrelationships among the equity, bond, and options markets. Using this cutting-edge method in conjunction with traditional debt and equity analysis, you will reduce portfolio risk, find assets with the highest returns, and generate dramatically greater profits from your transactions. This book’s “fat-free” presentation and easy-to-navigate format jump-starts busy professionals on their way to mastering proven techniques to: Determine the “equity risk” inherent in corporate debt to establish the causal relationship between a company’s debt, equity, and asset values Price and analyze corporate debt in real time by going beyond traditional methods for computing capital requirements and anticipated losses Look with an insider’s eye at risk management challenges facing banks, hedge funds, and other institutions operating with financial leverage Avoid the mistakes of other investors who contribute to the systemic risk in the financial system Additionally, you will be well prepared for the real world with the book’s focus on practical application and clear case studies. Step-by-step, you will see how to improve bond pricing and hedge debt with equity, and how selected investment management strategies perform when the model is used to drive decision making.
Author: Mark Guthner
Publisher: McGraw Hill Professional
ISBN: 0071790616
Category : Business & Economics
Languages : en
Pages : 338
Get Book Here
Book Description
A breakthrough methodology for profiting in the high-yield and distressed debt market Global advances in technology give investors and asset managers more information at their fingertips than ever before. With Quantitative Analytics in Debt Valuation and Management, you can join the elite club of quantitative investors who know how to use that information to beat the market and their competitors. This powerful guide shows you how to sharpen your analytical process by considering valuable information hidden in the prices of related assets. Quantitative Analytics in Debt Valuation and Management reveals a progressive framework incorporating debt valuation based on the interrelationships among the equity, bond, and options markets. Using this cutting-edge method in conjunction with traditional debt and equity analysis, you will reduce portfolio risk, find assets with the highest returns, and generate dramatically greater profits from your transactions. This book’s “fat-free” presentation and easy-to-navigate format jump-starts busy professionals on their way to mastering proven techniques to: Determine the “equity risk” inherent in corporate debt to establish the causal relationship between a company’s debt, equity, and asset values Price and analyze corporate debt in real time by going beyond traditional methods for computing capital requirements and anticipated losses Look with an insider’s eye at risk management challenges facing banks, hedge funds, and other institutions operating with financial leverage Avoid the mistakes of other investors who contribute to the systemic risk in the financial system Additionally, you will be well prepared for the real world with the book’s focus on practical application and clear case studies. Step-by-step, you will see how to improve bond pricing and hedge debt with equity, and how selected investment management strategies perform when the model is used to drive decision making.
Author: Wesley R. Gray
Publisher: John Wiley & Sons
ISBN: 1118328078
Category : Business & Economics
Languages : en
Pages : 293
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Book Description
A must-read book on the quantitative value investment strategy Warren Buffett and Ed Thorp represent two spectrums of investing: one value driven, one quantitative. Where they align is in their belief that the market is beatable. This book seeks to take the best aspects of value investing and quantitative investing as disciplines and apply them to a completely unique approach to stock selection. Such an approach has several advantages over pure value or pure quantitative investing. This new investing strategy framed by the book is known as quantitative value, a superior, market-beating method to investing in stocks. Quantitative Value provides practical insights into an investment strategy that links the fundamental value investing philosophy of Warren Buffett with the quantitative value approach of Ed Thorp. It skillfully combines the best of Buffett and Ed Thorp—weaving their investment philosophies into a winning, market-beating investment strategy. First book to outline quantitative value strategies as they are practiced by actual market practitioners of the discipline Melds the probabilities and statistics used by quants such as Ed Thorp with the fundamental approaches to value investing as practiced by Warren Buffett and other leading value investors A companion Website contains supplementary material that allows you to learn in a hands-on fashion long after closing the book If you're looking to make the most of your time in today's markets, look no further than Quantitative Value.
Author: Michael C. Khouw
Publisher: John Wiley & Sons
ISBN: 1119212413
Category : Business & Economics
Languages : en
Pages : 358
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Book Description
Capture the fortune you're losing with every trade by learning to exploit options The Options Edge + Free Trial shows you how to capture the fortune you lose out on every day. Buying and selling traditional investments often entails instruments with optionality. Sometimes this optionality is explicit, while other times it is hidden. If you're not leveraging these embedded options to their fullest advantage, you're losing money. Most retail investors don't truly understand the nuances involved in successful options trading and instead rely on more comfortable instruments with fewer complex mechanics. If you're interested in optimizing your portfolio, it's time to step out of your comfort zone and learn what you've been missing. This book gives you the background you need to take full advantage of options in this booming market. The companion website features easy to use analytical tools that help investors find the best opportunities so you can start applying these methods right away. Whether or not you ultimately decide to start actively trading options, the concepts discussed will make you a better all-around trader with greater security in your financial affairs. Most investors buy and sell options every day without ever knowing it. This book relates stories of those who have leveraged options to make fortunes and those who have lost by not understanding the optionality of their financial endeavors. You must know the fundamentals of options, and then learn to recognize hidden options, in order to improve success in all of your investment activities. After taking these steps, you can go on to: Create hidden options at little or no cost Structure your finances to reduce risk and increase wealth Utilize a practical pricing model for smarter investing The listed options are currently the only growing exchange traded financial product in the developed markets, with a current average volume of 20 million contracts—equivalent to 2 billion shares—per day. Now is the perfect opportunity to fortify your finances, and The Options Edge + Free Trial gives you the understanding and practical tools you need to optimize your portfolio today.
Author: Edward E Williams
Publisher: World Scientific Publishing Company
ISBN: 9813224274
Category : Business & Economics
Languages : en
Pages : 621
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Book Description
This book provides a comprehensive treatment of the important aspects of investment theory, security analysis, and portfolio selection, with a quantitative emphasis not to be found in most other investment texts.The statistical analysis framework of markets and institutions in the book meets the need for advanced undergraduates and graduate students in quantitative disciplines, who wish to apply their craft to the world of investments. In addition, entrepreneurs will find the volume to be especially useful. It also contains a clearly detailed explanation of many recent developments in portfolio and capital market theory as well as a thorough procedural discussion of security analysis. Professionals preparing for the CPA, CFA, and or CFP examinations will also benefit from a close scrutiny of the many problems following each chapter.The level of difficulty progresses through the textbook with more advanced treatment appearing in the latter sections of each chapter, and the last chapters of the volume.
Author: Marco Avellaneda
Publisher: World Scientific
ISBN: 9789810246938
Category : Mathematics
Languages : en
Pages : 372
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Book Description
Contains lectures presented at the Courant Institute's Mathematical Finance Seminar.
Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
ISBN: 0387771174
Category : Business & Economics
Languages : en
Pages : 1700
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Book Description
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
Author: Cheng F. Lee
Publisher: Center for PBBEFR & Airiti Press
ISBN: 9866286657
Category : Business & Economics
Languages : en
Pages :
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Book Description
Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession.
Author: Wolfgang Karl Härdle
Publisher: Springer
ISBN: 3662544865
Category : Business & Economics
Languages : en
Pages : 369
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Book Description
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility. The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bitcoins. The unique synthesis of theory and practice supported by computational tools is reflected not only in the selection of topics, but also in the fine balance of scientific contributions on practical implementation and theoretical concepts. This link between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners convenient access to new techniques in quantitative finance. Hence the book will appeal both to researchers, including master and PhD students, and practitioners, such as financial engineers. The results presented in the book are fully reproducible and all quantlets needed for calculations are provided on an accompanying website. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.
Author: Aswath Damodaran
Publisher: Now Publishers Inc
ISBN: 1601980140
Category : Business & Economics
Languages : en
Pages : 102
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Book Description
Valuation lies at the heart of much of what we do in finance, whether it is the study of market efficiency and questions about corporate governance or the comparison of different investment decision rules in capital budgeting. In this paper, we consider the theory and evidence on valuation approaches. We begin by surveying the literature on discounted cash flow valuation models, ranging from the first mentions of the dividend discount model to value stocks to the use of excess return models in more recent years. In the second part of the paper, we examine relative valuation models and, in particular, the use of multiples and comparables in valuation and evaluate whether relative valuation models yield more or less precise estimates of value than discounted cash flow models. In the final part of the paper, we set the stage for further research in valuation by noting the estimation challenges we face as companies globalize and become exposed to risk in multiple countries.
