'Mastering Risk Modelling' provides useful tips and methods for developing simple Excel applications. In particular, it discusses model design and how to layer complexity on to basic models. The result is a series of templates and building blocks for the reader to use.
Risk modeling is now a core skill for successful managers inside and outside finance. Alastair Day's "Mastering Risk Modelling" shows managers exactly how to build Excel-based models for identifying, quantifying and managing risk--models that provide clear, accurate decision-making guidance that can be used with confidence throughout the enterprise. An ideal follow-up to Day's bestselling "Mastering Financial Modelling," the book brings together risk modeling theory and practice more effectively than ever before. Day presents extensive tips and methods for developing Excel-based risk applications--including practical guidance on designing models and layering complexity on top of basic models. His series of Excel templates will jumpstart your own modeling, eliminate the need to start from scratch, and provide powerful insights for improving any model. All models are provided on an accompanying CD-ROM.
Your practical step-by-step guide to planning and building cash valuation models. Through a set of comprehensive instructions and templates it provides the tools to build models that will enable you to carry out accurate and informed analysis of your company’s cash liabilities, cash flow and value. If you are buying the ebook, companion files can be downloaded from the digital downloads section of http://www.financial-models.com/.
The AIMMS Optimization Modeling book provides not only an introduction to modeling but also a suite of worked examples. It is aimed at users who are new to modeling and those who have limited modeling experience. Both the basic concepts of optimization modeling and more advanced modeling techniques are discussed. The Optimization Modeling book is AIMMS version independent.
Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.
The first-ever book on this subject establishes a rigid, transparent and useful methodology for investigating the material metabolism of anthropogenic systems. Using Material Flow Analysis (MFA), the main sources, flows, stocks, and emissions of man-made and natural materials can be determined. By demonstrating the application of MFA, this book reveals how resources can be conserved and the environment protected within complex systems. The fourteen case studies presented exemplify the potential for MFA to contribute to sustainable materials management. Exercises throughout the book deepen comprehension and expertise. The authors have had success in applying MFA to various fields, and now promote the use of MFA so that future engineers and planners have a common method for solving resource-oriented problems.
Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fishe