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Product Identifiers
PublisherCambridge University Press
ISBN-101009209043
ISBN-139781009209045
eBay Product ID (ePID)11058617117
Product Key Features
Book TitleQuantitative Risk and Portfolio Management : Theory and Practice
Number of Pages927 Pages
LanguageEnglish
Publication Year2023
TopicFinance / General
IllustratorYes
GenreBusiness & Economics
AuthorKenneth Winston
FormatHardcover
Dimensions
Item Height1.3 in
Item Length10.2 in
Item Width7.2 in
Additional Product Features
LCCN2022-055743
Dewey Edition23/eng/20221201
Reviews'Ken Winston has created a concise, valuable reference for the quantitatively minded that, in addition to describing our standard approaches for asset pricing and risk management, shows how these tools can and must be extended to reflect the more complicated risks we actually face.' David Germany, Pitzer College, 'This is the book that I wish I had been able to have when I switched from applied math/ engineering to applied finance more than thirty years ago. In essence, the book fills a very important void: how to approach financial engineering problems from the practitioner's viewpoint. A must-have for risk managers and investment professionals.' Arturo Cifuentes, Chile Sovereign Fund, 'Few people are as qualified as Ken Winston to provide an academically disciplined practitioner view of how to manage and profit from investment risk-taking. Trained as a mathematician, Ken was the chief risk officer for some of the world's largest investment managers. Successful risk managers must have excellent quantitative and people skills, and Ken has both. The value of quantitative skill is evident in a game of numbers. People skills are necessary to communicate and successfully enforce limits on managers who too often dream of unachievable profits. Ken drew on both sets of skills to produce this innovative book, already well tested in his classrooms at Cal Tech and NYU. It is an essential read for all aspiring investment managers.' Larry Harris, University of Southern California, 'This book is a remarkable combination of finance theory, mathematics, and practice. The development of finance theory is deep enough to challenge the most advanced students, yet it is full of applications. The author's long history of developing risk models is evident in every chapter. The book belongs in the curricula of the best graduate programs in finance and economics.' Charles Trzcinka, Indiana University, 'This is the book I wish I had had when I started my career in quantitative finance twenty years ago. It is written with the rigor of an academic, the insight of an experienced practitioner, and the didactic style of an empathetic and engaging teacher. Winston connects with his readers through insightful and entertaining discussions of historical background and of how actual financial markets behave or misbehave. At the same time, he provides rigorous but crystal clear and unhurried explanations of technical concepts. His choice of topics reflects current practice. A practitioner will find much to learn and enjoy in this book. A student who masters this material will be well prepared for a career in quantitative finance.' Colm O'Cinneide, Franklin Templeton Investments
Dewey Decimal332.6
Table Of ContentPreface; 1. What is risk?; 2. Risk metrics; 3. Fixed income modeling; 4. Equity modeling; 5. Convex optimization; 6. Factor models; 7. Distributions; 8. Simulation, scenarios and stress testing; 9. Time-varying volatility; 10. Modeling relationships; 11. Credit modeling; 12. Hedging; References; Index.
SynopsisA modern introduction to risk and portfolio management for advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance, including extensive live data and Python code as online supplements which allow the application of theory to real-world situations., A comprehensive modern introduction to risk and portfolio management for quantitatively adept advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance. With a focus on real-world application, but providing a background in academic theory, this text builds a firm foundation of rigorous but practical knowledge. Extensive live data and Python code are provided as online supplements, allowing a thorough understanding of how to manage risk and portfolios in practice. With its detailed examination of how mathematical techniques are applied to finance, this is the ideal textbook for giving students with a background in engineering, mathematics or physics a route into the field of quantitative finance.
LC Classification NumberHG4529.5.W566 2023
