<p><strong>Practical Spreadsheet Modeling Using @Risk</strong> provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous
Practical Spreadsheet Risk Modeling for Management
✍ Scribed by Dale Lehman, Huybert Groenendaal, Greg Nolder
- Publisher
- Chapman and Hall/CRC
- Year
- 2011
- Tongue
- English
- Leaves
- 275
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Risk analytics is developing rapidly, and analysts in the field need material that is theoretically sound as well as practical and straightforward. A one-stop resource for quantitative risk analysis, Practical Spreadsheet Risk Modeling for Management dispenses with the use of complex mathematics, concentrating on how powerful techniques and methods can be used correctly within a spreadsheet-based environment. Highlights Covers important topics for modern risk analysis, such as frequency-severity modeling and modeling of expert opinion Keeps mathematics to a minimum while covering fairly advanced topics through the use of powerful software tools Contains an unusually diverse selection of topics, including explicit treatment of frequency-severity modeling, copulas, parameter and model uncertainty, volatility modeling in time series, Markov chains, Bayesian modeling, stochastic dominance, and extended treatment of modeling expert opinion End-of-chapter exercises span eight application areas illustrating the broad application of risk analysis tools with the use of data from real-world examples and case studies This book is written for anyone interested in conducting applied risk analysis in business, engineering, environmental planning, public policy, medicine, or virtually any field amenable to spreadsheet modeling. The authors provide practical case studies along with detailed instruction and illustration of the features of ModelRisk®, the most advanced risk modeling spreadsheet software currently available. If you intend to use spreadsheets for decision-supporting analysis, rather than merely as placeholders for numbers, then this is the resource for you.
✦ Subjects
Финансово-экономические дисциплины;Математические методы и моделирование в экономике;
📜 SIMILAR VOLUMES
<p><strong>Practical Spreadsheet Modeling Using @Risk</strong> provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous
This book is a practitioner's guide for readers who already have a basic understanding of risk management. Statistical ideas are presented by detailing the necessary concepts and outlining how these methods can be implemented. The book differentiates itself from other energy risk books on the mark
<span>Financial models are an inescapable feature of modern financial markets. Yet it was over reliance on these models and the failure to test them properly that is now widely recognized as one of the main causes of the financial crisis of 2007–2011. Since this crisis, there has been an increase in