Measuring the Value of Companies in Turbulent Times

Corporate Valuation presents the most up-to-date tools
and techniques for more accurate valuation in a highly volatile,
globalized, and risky business environment. This insightful guide
takes a multidisciplinary approach, considering both accounting and
financial principles, with a practical focus that uses case studies
and numerical examples to illustrate major concepts. Readers are
walked through a map of the valuation approaches proven most
effective post-crisis, with explicit guidance toward implementation
and enhancement using advanced tools, while exploring new models,
techniques, and perspectives on the new meaning of value. Risk
centrality and scenario analysis are major themes among the
techniques covered, and the companion website provides relevant
spreadsheets, models, and instructor materials.

Business is now done in a faster, more diverse, more
interconnected environment, making valuation an increasingly more
complex endeavor. New types of risks and competition are shaping
operations and finance, redefining the importance of managing
uncertainty as the key to success. This book brings that
perspective to bear in valuation, providing new insight, new
models, and practical techniques for the modern finance
industry.

• Gain a new understanding of the idea of "value," from both
  accounting and financial perspectives


• Learn new valuation models and techniques, including
  scenario-based valuation, the Monte Carlo analysis, and other
  advanced tools


• Understand valuation multiples as adjusted for risk and cycle,
  and the decomposition of deal multiples


• Examine the approach to valuation for rights issues and hybrid
  securities, and more

Traditional valuation models are inaccurate in that they hinge
on the idea of ensured success and only minor adjustments to
forecasts. These rules no longer apply, and accurate valuation
demands a shift in the paradigm. Corporate Valuation
describes that shift, and how it translates to more accurate
methods.