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Essential mathematics for market risk management
Title statement Essential mathematics for market risk management / Simon Hubbert Personal name Hubbert, Simon (author) Publication New York : John Wiley & Sons, 2012 Phys.des. 1 online zdroj (354 stran) ISBN 9781119953012 (online ; pdf) 1119953014 9781119953029 1119953022 Notes to Availability Přístup pouze pro oprávněné uživatele Note Způsob přístupu: World Wide Web Defekty eBooks on EBSCOhost Subj. Headings finanční matematika business mathematics * finanční rizika financial risks * rizikový management risk management * kapitálové trhy capital market Form, Genre elektronické knihy electronic books Conspect 336.7 - Finance UDC 336.76 , 005.334:005.332.3 , 336.7:330.131.7 , 336:51-7 , (0.034.2:08) Country New York Language angličtina Document kind Electronic sources URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=413332
With risk management top of the agenda for many organizations, this book is essential reading for getting to grips with the mathematical story behind the subject of financial risk management. It will take you on a journey from the early ideas of risk quantification up to today's sophisticated models and approaches to business risk management. To help you investigate the most up-to-date, pioneering developments in modern risk management, the book presents statistical theories and shows you how to put statistical tools into action to investigate areas such as the design of mathematical models for financial volatility or calculating the value at risk for an investment portfolio.
Essential Mathematics for Market Risk Management; Contents; Preface; 1 Introduction; 1.1 Basic Challenges in Risk Management; 1.2 Value at Risk; 1.3 Further Challenges in Risk Management; 2 Applied Linear Algebra for Risk Managers; 2.1 Vectors and Matrices; 2.2 Matrix Algebra in Practice; 2.3 Eigenvectors and Eigenvalues; 2.4 Positive Definite Matrices; 3 Probability Theory for Risk Managers; 3.1 Univariate Theory; 3.1.1 Random variables; 3.1.2 Expectation; 3.1.3 Variance; 3.2 Multivariate Theory; 3.2.1 The joint distribution function; 3.2.2 The joint and marginal density functions.