Fixed-Income Portfolio Analytics, David Jamieson Bolder
Автор: Joshi Название: Introduction to Mathematical Portfolio Theory ISBN: 1107042313 ISBN-13(EAN): 9781107042315 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A concise yet comprehensive guide to the mathematics of portfolio theory from a modelling perspective, with discussion of the assumptions, limitations and implementations of the models as well as the theory underlying them. Aimed at advanced undergraduates, this book can be used for self-study or as a course text.
Автор: Fabozzi Frank J. Название: Portfolio Construction and Analytics ISBN: 1118445597 ISBN-13(EAN): 9781118445594 Издательство: Wiley Рейтинг: Цена: 15840.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A detailed, multi-disciplinary approach to investment analytics Portfolio Construction and Analytics provides an up-to-date understanding of the analytic investment process for students and professionals alike.
Автор: Tuckman Bruce Название: Fixed Income Securities ISBN: 0470904038 ISBN-13(EAN): 9780470904039 Издательство: Wiley Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fixed income practitioners need to understand the conceptual frameworks of their field; to master its quantitative tool-kit; and to be well-versed in its cash-flow and pricing conventions. Fixed Income Securities, Third Edition by Bruce Tuckman and Angel Serrat is designed to balance these three objectives.
Автор: Bolder, David Jamieson Название: Fixed-income portfolio analytics ISBN: 3319126660 ISBN-13(EAN): 9783319126661 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook will be designed for fixed--incomesecurities courses taught on MSc Finance and MBAcourses. There is currently no suitable text thatoffers a `Hull--type` book for the fixed income studentmarket. This book aims to fill this need. The bookwill contain numerous worked examples, excelspreadsheets, with a building block approachthroughout.
Автор: Wolfgang Marty Название: Portfolio Analytics ISBN: 3319345257 ISBN-13(EAN): 9783319345253 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus ex-ante risk figures are compared.
Автор: Wolfgang Marty Название: Portfolio Analytics ISBN: 3319198114 ISBN-13(EAN): 9783319198118 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus ex-ante risk figures are compared.
Автор: Back, Kerry E. Название: Asset Pricing and Portfolio Choice Theory ISBN: 0190241144 ISBN-13(EAN): 9780190241148 Издательство: Oxford Academ Рейтинг: Цена: 20988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a textbook at the Ph.D. or Masters in Quantitative Finance level. It covers single-period, discrete-time, and continuous-time financial models. It provides introductions to many current research topics, and each chapter contains exercises.
Автор: Tuckman Bruce Название: Fixed Income Securities, 3ed. ISBN: 0470891696 ISBN-13(EAN): 9780470891698 Издательство: Wiley Рейтинг: Цена: 11880.00 р. Наличие на складе: Поставка под заказ.
Описание: Fixed-income securities traditionally promised fixed cash flows (like bonds), but there have been many newly-created fixed income securities for which the promised cash flows depend on the level of interest rates, making them hard to value. This revised book covers the most advanced thinking in the field and comprehensively shows how to value the complete universe of fixed income securities. Included are all the latest fixed income securities valuation models and techniques, and their applications in real world situations. The third edition will also include two new chapters dedicated to foreign exchange markets and corporate bonds and credit-default swaps.
Автор: Hilpisch Y Название: Derivatives Analytics with Python ISBN: 1119037999 ISBN-13(EAN): 9781119037996 Издательство: Wiley Рейтинг: Цена: 9979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you how to implement market-consistent valuation and hedging approaches using advanced financial models, efficient numerical techniques, and the powerful capabilities of the Python programming language.
Автор: Marston R Название: Portfolio Design ISBN: 047093123X ISBN-13(EAN): 9780470931233 Издательство: Wiley Рейтинг: Цена: 7524.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Portfolio Design choosing the right mix of assets appropriate to a particular investor is the key to successful investing. It can help you accumulate wealth over time, while cushioning the blow of possible economic downturns.
Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
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