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Author: Margarita S. Brose
Publisher: Cambridge University Press
Published: 2014-01-09
Total Pages: 575
ISBN-13: 1107012023
DOWNLOAD EBOOK →A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.
Author: Margarita S. Brose
Publisher: Cambridge University Press
Published: 2014
Total Pages: 659
ISBN-13: 1107012015
DOWNLOAD EBOOK →Volume I examines the business and regulatory context that makes risk information so important. A vast set of quantitative techniques, internal risk measurement and governance processes, and supervisory reporting rules have grown up over time, all with important implications for modeling and managing risk information. Without an understanding of the broader forces at work, it is all too easy to get lost in the details. -- Back cover.
Author: Margarita S. Brose
Publisher: Cambridge University Press
Published: 2014-01-09
Total Pages: 0
ISBN-13: 9781107012011
DOWNLOAD EBOOK →Risk has always been central to finance, and managing risk depends critically on information. As evidenced by recent events, the need has never been greater for skills, systems and methodologies to manage risk information in financial markets. Authored by leading figures in risk management and analysis, this handbook serves as a unique and comprehensive reference for the technical, operational, regulatory and political issues in collecting, measuring and managing financial data. It will appeal to a wide range of audiences, from financial industry practitioners and regulators responsible for implementing risk management systems, to system integrators and software firms helping to improve such systems. Volume I examines the business and regulatory context that makes risk information so important. A vast set of techniques and processes have grown up over time, and without an understanding of the broader forces at work, it is all too easy to get lost in the details.
Author: Thierry Roncalli
Publisher: CRC Press
Published: 2020-04-23
Total Pages: 987
ISBN-13: 1351385224
DOWNLOAD EBOOK →Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874
Author: Margarita S. Brose
Publisher:
Published: 2014-01-09
Total Pages: 0
ISBN-13: 9781107690707
DOWNLOAD EBOOK →A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.
Author: Stanley Myint
Publisher:
Published: 2019
Total Pages:
ISBN-13: 9781782724162
DOWNLOAD EBOOK →Author: Frederi G. Viens
Publisher: John Wiley & Sons
Published: 2011-12-20
Total Pages: 468
ISBN-13: 0470876883
DOWNLOAD EBOOK →CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.
Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
Published: 2010-06-14
Total Pages: 1700
ISBN-13: 0387771174
DOWNLOAD EBOOK →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: Lawrence Galitz
Publisher: Pearson UK
Published: 2013-06-11
Total Pages: 666
ISBN-13: 0273742426
DOWNLOAD EBOOK →The Financial Times Handbook of Financial Engineering clearly explains the tools of financial engineering, showing you the formulas behind the tools, illustrating how they are applied, priced and hedged. All applications in this book are illustrated with fully-worked practical examples, and recommended tactics and techniques are tested using recent data.
Author: Yacine Ait-Sahalia
Publisher: Elsevier
Published: 2009-10-19
Total Pages: 808
ISBN-13: 9780080929842
DOWNLOAD EBOOK →This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume. Presents a broad survey of current research—from local characterizations of the Markov process dynamics to financial market trading activity Contributors include Nobel Laureate Robert Engle and leading econometricians Offers a clarity of method and explanation unavailable in other financial econometrics collections
