Quantifying Systemic Risk
Quantifying Systemic Risk

Author: Joseph G. Haubrich

Publisher: University of Chicago Press

Published: 2013-01-24

Total Pages: 286

ISBN-13: 0226319288

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In the aftermath of the recent financial crisis, the federal government has pursued significant regulatory reforms, including proposals to measure and monitor systemic risk. However, there is much debate about how this might be accomplished quantitatively and objectively—or whether this is even possible. A key issue is determining the appropriate trade-offs between risk and reward from a policy and social welfare perspective given the potential negative impact of crises. One of the first books to address the challenges of measuring statistical risk from a system-wide persepective, Quantifying Systemic Risk looks at the means of measuring systemic risk and explores alternative approaches. Among the topics discussed are the challenges of tying regulations to specific quantitative measures, the effects of learning and adaptation on the evolution of the market, and the distinction between the shocks that start a crisis and the mechanisms that enable it to grow.

Applied Quantitative Finance
Applied Quantitative Finance

Author: Wolfgang Karl Härdle

Publisher: Springer

Published: 2017-08-02

Total Pages: 369

ISBN-13: 3662544865

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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.

Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond
Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond

Author: Chris Burniske

Publisher: McGraw Hill Professional

Published: 2017-10-20

Total Pages: 368

ISBN-13: 126002668X

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The innovative investor’s guide to an entirely new asset class—from two experts on the cutting edge With the rise of bitcoin and blockchain technology, investors can capitalize on the greatest investment opportunity since the Internet. Bitcoin was the first cryptoasset, but today there are over 800 and counting, including ether, ripple, litecoin, monero, and more. This clear, concise, and accessible guide from two industry insiders shows you how to navigate this brave new blockchain world—and how to invest in these emerging assets to secure your financial future. Cryptoassets gives you all the tools you need: * An actionable framework for investigating and valuing cryptoassets * Portfolio management techniques to maximize returns while managing risk * Historical context and tips to navigate inevitable bubbles and manias * Practical guides to exchanges, wallets, capital market vehicles, and ICOs * Predictions on how blockchain technology may disrupt current portfolios In addition to offering smart investment strategies, this authoritative resource will help you understand how these assets were created, how they work, and how they are evolving amid the blockchain revolution. The authors define a clear and original cryptoasset taxonomy, composed of cryptocurrencies, cryptocommodities, and cryptotokens, with insights into how each subset is blending technology and markets. You’ll find a variety of methods to invest in these assets, whether through global exchanges trading 24/7 or initial cryptoasset offerings (ICOs). By sequentially building on the concepts of each prior chapter, the book will provide you with a full understanding of the cryptoasset economy and the opportunities that await the innovative investor. Cryptoassets represent the future of money and markets. This book is your guide to that future.

The Theory of the Firm
The Theory of the Firm

Author: Daniel F. Spulber

Publisher: Cambridge University Press

Published: 2009-04-13

Total Pages: 542

ISBN-13: 0521517389

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The Theory of the Firm presents an innovative general analysis of the economics of the firm.

Cryptoassets: The Guide to Bitcoin, Blockchain, and Cryptocurrency for Investment Professionals
Cryptoassets: The Guide to Bitcoin, Blockchain, and Cryptocurrency for Investment Professionals

Author: Matt Hougan

Publisher: CFA Institute Research Foundation

Published: 2021-01-07

Total Pages: 99

ISBN-13: 1952927099

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Bitcoin, blockchain, and cryptocurrencies burst onto the world stage in 2008, when the online posting of a pseudonymous white paper provided a vision of a new way to transfer value over the internet. In the decade-plus since, the cryptoasset market has gone through all the classic phases of a disruptive technology: massive bull markets and crushing pullbacks, periods of euphoria and moments of despair, FOMO (fear of missing out), fear, and everything in between. As the cryptomarket enters its second decade, one thing is clear: Crypto is not going away. Cryptoasset markets are rallying toward new all-time highs, and many of the world’s largest investors and financial institutions are getting involved. Investors looking into crypto, however, face significant challenges. The quality of information is poor. Theories about the drivers of cryptoasset valuations are untested and often poorly designed, and they are rarely—if ever—published in peer-reviewed journals. Due diligence efforts from leading consultants are in their infancy, and few people have carefully thought through the role (if any) that cryptoassets should have in a professionally managed portfolio. More fundamentally, few people even understand what crypto really is or why it might matter. Is it an alternative currency? A technology? A venture capital investment? A specious bubble? The goal of this document is to provide the inquisitive investor with a clear-eyed guide to crypto and blockchain: what they are, what they are not, and where they might go from here.

Benford's Law
Benford's Law

Author: Steven J. Miller

Publisher: Princeton University Press

Published: 2015-06-09

Total Pages: 465

ISBN-13: 1400866596

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Benford's law states that the leading digits of many data sets are not uniformly distributed from one through nine, but rather exhibit a profound bias. This bias is evident in everything from electricity bills and street addresses to stock prices, population numbers, mortality rates, and the lengths of rivers. Here, Steven Miller brings together many of the world’s leading experts on Benford’s law to demonstrate the many useful techniques that arise from the law, show how truly multidisciplinary it is, and encourage collaboration. Beginning with the general theory, the contributors explain the prevalence of the bias, highlighting explanations for when systems should and should not follow Benford’s law and how quickly such behavior sets in. They go on to discuss important applications in disciplines ranging from accounting and economics to psychology and the natural sciences. The contributors describe how Benford’s law has been successfully used to expose fraud in elections, medical tests, tax filings, and financial reports. Additionally, numerous problems, background materials, and technical details are available online to help instructors create courses around the book. Emphasizing common challenges and techniques across the disciplines, this accessible book shows how Benford’s law can serve as a productive meeting ground for researchers and practitioners in diverse fields.

Sustainable Supply Chains
Sustainable Supply Chains

Author: Yann Bouchery

Publisher: Springer

Published: 2016-09-01

Total Pages: 520

ISBN-13: 3319297910

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This book is primarily intended to serve as a research-based textbook on sustainable supply chains for graduate programs in Business, Management, Industrial Engineering, and Industrial Ecology, but it should also be of interest for researchers in the broader sustainable supply chain space, whether from the operations management and industrial engineering side or more from the industrial ecology and life-cycle assessment side. Finding efficient solutions towards a more sustainable supply chain is increasingly important for managers, but clearly this raise difficult questions, often without clear answers. This book aims to provide insights into these kinds of questions for students and practitioners, based on the latest academic research.

Contemporary Mathematics for Business & Consumers, 9th
Contemporary Mathematics for Business & Consumers, 9th

Author: Robert Brechner

Publisher: Cengage Learning

Published: 2019-02-13

Total Pages: 0

ISBN-13: 9780357026441

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Gain a strong understand of today's key mathematical concepts and learn how to use math for success in business today with Brechner/Bergeman's CONTEMPORARY MATHEMATICS FOR BUSINESS AND CONSUMERS, 9E. This reader-friendly approach helps you overcome any math anxiety and confidently master mathematical concepts. A proven step-by-step instructional model allows you to progress through one topic at a time without being intimidated or overwhelmed. Learning features connect the topics you're learning to the latest business news and even provide helpful personal money tips. You can immediately practice concepts and hone essential skills with more than 2,000 exercises. To model solution strategies, Jump Start problems introduce new topics and provide worked-out solutions to help you begin on your own assignments with confidence. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Introduction to Functional Data Analysis
Introduction to Functional Data Analysis

Author: Piotr Kokoszka

Publisher: CRC Press

Published: 2017-09-27

Total Pages: 371

ISBN-13: 1498746691

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Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.