Business risk and simulation modelling in practice : using Excel, VBA and @RISK / Michael Rees.
Material type: TextSeries: Producer: Chichester, West Sussex, United Kingdom : John Wiley & Sons, Inc., 2015Description: xxv, 438 pages : illustrations ; 25 cmContent type:- text
- unmediated
- volume
- 9781118904053 (cloth)
- HD 61 .R259 2015
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Graduate Studies | DLSU-D GRADUATE STUDIES Graduate Studies | Graduate Studies | HD 61 .R259 2015 (Browse shelf(Opens below)) | Available | 3AEA2015005274 |
Includes index.
The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include:
• Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges.
• Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide.
• In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques.
• The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered.
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