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This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research.
The first in-depth analysis of pairs trading Pairs trading is a market-neutral strategy in its most simple form. The strategy involves being long (or bullish) one asset and short (or bearish) another. If properly performed, the investor will gain if the market rises or falls. Pairs Trading reveals the secrets of this rigorous quantitative analysis program to provide individuals and investment houses with the tools they need to successfully implement and profit from this proven trading methodology. Pairs Trading contains specific and tested formulas for identifying and investing in pairs, and answers important questions such as what ratio should be used to construct the pairs properly. Ganapathy Vidyamurthy (Stamford, CT) is currently a quantitative software analyst and developer at a major New York City hedge fund.
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.
Judging by the sheer number of papers reviewed in this Handbook, the empirical analysis of firms' financing and investment decisions—empirical corporate finance—has become a dominant field in financial economics. The growing interest in everything "corporate is fueled by a healthy combination of fundamental theoretical developments and recent widespread access to large transactional data bases. A less scientific—but nevertheless important—source of inspiration is a growing awareness of the important social implications of corporate behavior and governance. This Handbook takes stock of the main empirical findings to date across an unprecedented spectrum of corporate finance issues, ranging from econometric methodology, to raising capital and capital structure choice, and to managerial incentives and corporate investment behavior. The surveys are written by leading empirical researchers that remain active in their respective areas of interest. With few exceptions, the writing style makes the chapters accessible to industry practitioners. For doctoral students and seasoned academics, the surveys offer dense roadmaps into the empirical research landscape and provide suggestions for future work.*The Handbooks in Finance series offers a broad group of outstanding volumes in various areas of finance*Each individual volume in the series should present an accurate self-contained survey of a sub-field of finance*The series is international in scope with contributions from field leaders the world over
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.
The U.S. Government Accountability Office (GAO) is an independent agency that works for Congress. The GAO watches over Congress, and investigates how the federal government spends taxpayers dollars. The Comptroller General of the United States is the leader of the GAO, and is appointed to a 15-year term by the U.S. President. The GAO wants to support Congress, while at the same time doing right by the citizens of the United States. They audit, investigate, perform analyses, issue legal decisions and report anything that the government is doing. This is one of their reports.
High-Rise Security and Fire Life Safety servers as an essential took for building architects, building owners and property managers, security and fire safety directors, security consultants, and contract security firms. * Provides the reader with complete coverage of high-rise security and safety issues * Includes comprehensive sample documentation, diagrams, photographs to aid in developing security and fire life safety programs * Serves as an essential tool for building owners and managers, security and fire safety directors, security consultants and contract security firms.
Provides statistical tools and techniques needed to understandtoday's financial markets The Second Edition of this critically acclaimed text provides acomprehensive and systematic introduction to financial econometricmodels and their applications in modeling and predicting financialtime series data. This latest edition continues to emphasizeempirical financial data and focuses on real-world examples.Following this approach, readers will master key aspects offinancial time series, including volatility modeling, neuralnetwork applications, market microstructure and high-frequencyfinancial data, continuous-time models and Ito's Lemma, Value atRisk, multiple returns analysis, financial factor models, andeconometric modeling via computation-intensive methods. The author begins with the basic characteristics of financialtime series data, setting the foundation for the three maintopics: Analysis and application of univariate financial timeseries Return series of multiple assets Bayesian inference in finance methods This new edition is a thoroughly revised and updated text,including the addition of S-Plus® commands and illustrations.Exercises have been thoroughly updated and expanded and include themost current data, providing readers with more opportunities to putthe models and methods into practice. Among the new material addedto the text, readers will find: Consistent covariance estimation under heteroscedasticity andserial correlation Alternative approaches to volatility modeling Financial factor models State-space models Kalman filtering Estimation of stochastic diffusion models The tools provided in this text aid readers in developing adeeper understanding of financial markets through firsthandexperience in working with financial data. This is an idealtextbook for MBA students as well as a reference for researchersand professionals in business and finance.