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Business Risk Management Models and Analysis.

Detalles Bibliográficos
Autor principal: Anderson, Edward J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2013.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

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035 |a (OCoLC)1347025448 
082 0 4 |a 658.15/5  |q OCoLC  |2 23/eng/20230216 
049 |a UAMI 
100 1 |a Anderson, Edward J. 
245 1 0 |a Business Risk Management  |h [electronic resource] :  |b Models and Analysis. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2013. 
300 |a 1 online resource (385 p.). 
490 1 |a New York Academy of Sciences Ser. 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 What is risk management? -- 1.1 Introduction -- 1.2 Identifying and documenting risk -- 1.3 Fallacies and traps in risk management -- 1.4 Why safety is different -- 1.5 The Basel framework -- 1.6 Hold or hedge? -- 1.7 Learning from a disaster -- 1.7.1 What went wrong? -- Notes -- References -- Exercises -- Chapter 2 The structure of risk -- 2.1 Introduction to probability and risk -- 2.2 The structure of risk -- 2.2.1 Intersection and union risk -- 2.2.2 Maximum of random variables -- 2.3 Portfolios and diversification 
505 8 |a 2.3.1 Adding random variables -- 2.3.2 Portfolios with minimum variance -- 2.3.3 Optimal portfolio theory -- 2.3.4 When risk follows a normal distribution -- 2.4 The impact of correlation -- 2.4.1 Using covariance in combining random variables -- 2.4.2 Minimum variance portfolio with covariance -- 2.4.3 The maximum of variables that are positively correlated -- 2.4.4 Multivariate normal -- 2.5 Using copulas to model multivariate distributions -- 2.5.1 *Details on copula modeling -- Notes -- References -- Exercises -- Chapter 3 Measuring risk -- 3.1 How can we measure risk? -- 3.2 Value at risk 
505 8 |a 3.3 Combining and comparing risks -- 3.4 VaR in practice -- 3.5 Criticisms of VaR -- 3.6 Beyond value at risk -- 3.6.1 *More details on expected shortfall -- Notes -- References -- Exercises -- Chapter 4 Understanding the tails -- 4.1 Heavy-tailed distributions -- 4.1.1 Defining the tail index -- 4.1.2 Estimating the tail index -- 4.1.3 *More details on the tail index -- 4.2 Limiting distributions for the maximum -- 4.2.1 *More details on maximum distributions and Fisher-Tippett -- 4.3 Excess distributions -- 4.3.1 *More details on threshold exceedances 
505 8 |a 5.2.5 What shape is the utility function? -- 5.2.6 *Expected utility when probabilities are subjective -- 5.3 Stochastic dominance and risk profiles -- 5.3.1 *More details on stochastic dominance -- 5.4 Risk decisions for managers -- 5.4.1 Managers and shareholders -- 5.4.2 A single company-wide view of risk -- 5.4.3 Risk of insolvency -- Notes -- References -- Exercises -- Chapter 6 Understanding risk behavior -- 6.1 Why decision theory fails -- 6.1.1 The meaning of utility -- 6.1.2 Bounded rationality -- 6.1.3 Inconsistent choices under uncertainty 
500 |a 6.1.4 Problems from scaling utility functions 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
655 0 |a Electronic books. 
776 0 8 |i Print version:  |a Anderson, Edward J.  |t Business Risk Management  |d Newark : John Wiley & Sons, Incorporated,c2013  |z 9781118349465 
830 0 |a New York Academy of Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7104026  |z Texto completo 
880 8 |6 505-00/(S  |a 4.4 Estimation using extreme value theory -- 4.4.1 Step 1. Choose a threshold u -- 4.4.2 Step 2. Estimate the parameters ξ and β -- 4.4.3 Step 3. Estimate the risk measures of interest -- Notes -- References -- Exercises -- Chapter 5 Making decisions under uncertainty -- 5.1 Decisions, states and outcomes -- 5.1.1 Decisions -- 5.1.2 States -- 5.1.3 Outcomes -- 5.1.4 Probabilities -- 5.1.5 Values -- 5.2 Expected Utility Theory -- 5.2.1 Maximizing expected profit -- 5.2.2 Expected utility -- 5.2.3 No alternative to Expected Utility Theory -- 5.2.4 *A sketch proof of the theorem 
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994 |a 92  |b IZTAP