Market Risk Analysis - Quantitative Methods In Finance, Volume 1 +Cd(ISBN=9780470998007) azw3 lrf 下载 百度云 夸克云 snb pdf kindle

　　Written by leading market risk academic, Professor Carol

Alexander, Quantitative Methods in Finance forms part one of the

Market Risk Analysis four volume set. Starting from the basics,

this book helps readers to take the first step towards becoming a

properly qualified financial risk manager and asset manager, roles

that are currently in huge demand. Accessible to intelligent

readers with a moderate understanding of mathematics at high school

level or to anyone with a university degree in mathematics, physics

or engineering, no prior knowledge of finance is necessary. Instead

the emphasis is on understanding ideas rather than on mathematical

rigour, meaning that this book offers a fast-track introduction to

financial analysis for readers with some quantitative background,

highlighting those areas of mathematics that are particularly

relevant to solving problems in financial risk management and asset

management. Unique to this book is a focus on both continuous and

discrete time finance so that Quantitative Methods in Finance is

not only about the application of mathematics to finance; it also

explains, in very pedagogical terms, how the continuous time and

discrete time finance disciplines meet, providing a comprehensive,

highly accessible guide which will provide readers with the tools

to start applying their knowledge immediately.

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　　Carol Alexander is a Professor of Risk Management at the ICMA

Centre, University of Reading, and Chair of the Academic Advisory

Council of the Professional Risk Manager’s International

Association (PRMIA). She is the author of Market Models: A Guide to

Financial Data Analysis(John Wiley & Sons Ltd, 2001) and has

been editor and contributor of a very large number of books in

finance and mathematics, including the multi-volume Professional

Risk Manager’s Handbook(McGraw-Hill, 2008 and PRMIA Publications).

Carol has published nearly 100 academic journal articles, book

chapters and books, the majority of which focus on financial risk

management and mathematical finance.

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