"Financial Modelling in Practice: A Concise Guide for Intermediate
and Advanced Level" is a practical, comprehensive and in-depth
guide to financial modelling designed to cover the modelling issues
that are relevant to facilitate the construction of robust and
readily understandable models.
Based on the authors extensive experience of building models in
business and finance, and of training others how to do so this book
starts with a review of Excel functions that are generally most
relevant for building intermediate and advanced level models (such
as Lookup functions, database and statistical functions and so on).
It then discusses the principles involved in designing, structuring
and building relevant, accurate and readily understandable models
(including the use of sensitivity analysis techniques) before
covering key application areas, such as the modelling of financial
statements, of cash flow valuation, risk analysis, options and real
options. Finally, the topic of financial modelling using VBA is
treated. Practical examples are used throughout and model examples
are included in the attached CD-ROM.
Aimed at intermediate and advanced level modellers in Excel who
wish to extend and consolidate their knowledge, this book is
focused, practical, and application-driven, facilitating knowledge
to build or audit a much wider range of financial models.
""An excellent book which presents advanced financial modelling
tools and simulations, and applies them to modern aspects of
financial management. As a renowned expert in modelling, Michael
Rees develops efficient techniques for simulation and sensitivity
analysis within an Excel and Excel add-on framework using many
useful andtransparent applications in the context of company
valuation, derivative business and risk management, enabling the
reader to develop good models themselves. A unique book which is
highly instructive and motivating.""
--Professor Dr Dieter Gramlich, University of Cooperative
Education, Heidenheim, Germany
""Mike Rees's book fills an important gap in the literature on
how to model financial data. It not only provides a whole host of
useful suggestions on how to design, structure, build and analyse
models; including tips on how use some of the more advanced
functionality in Excel, but also in a clear and concise way
explains how to include uncertainty in to these models. During the
last few years many business's environment have changed, creating
the need to explicitly include uncertainty into their decision
making rather than hide behind simple (and often flawed)
assumptions of what the future may hold. Mike clearly understands
the importance of this area and includes several sections which
provide an excellent introduction to anyone starting to apply these
types of techniques in their financial models for the first time.
It is the combination of best practice modelling techniques, plenty
of examples and the basics of some of the more advanced approaches
that make this book a useful addition to anyone building financial
models.""
--Andrea Dickens, Decision Analysis Group Leader, Finance
Excellence Unilever
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CD-ROM
