Equity Valuation Models from Leading Investment Banks

Equity Valuation: Models from the Leading Investment Banks is a clear and reader-friendly guide to how today’s leading investment banks analyze firms.  Editors Jan Viebig and Thorsten Poddig bring together expertise from UBS, Morgan Stanley, DWS Investment GmbH and Credit Suisse, providing a unique analysis of leading equity valuation models, from the very individuals who use them.  Filled with real world insights, practical examples and theoretical approaches, the book will examine the strengths and weaknesses of some of the leading valuation approaches, helping readers understand how analysts:

·    estimate cash flows

·    calculate discount rates

·    adjust for accounting distortions

·    take uncertainty into consideration

Written for investment professionals, corporate managers and anyone interested in developing their understanding of this key area, Equity Valuation: Models from the Leading Investment Banks will arm readers with the latest thinking and depth of knowledge necessary to make the right decisions in their valuation methodologies.

Jan Viebig, CFA, is a Managing Director at DWS Investment GmbH in Frankfurt, Germany, where he manages two long / short equity hedge funds. With EUR 142 billion under management, DWS is the largest asset manager in Germany. DWS is part of Deutsche Asset Management (DeAM). Jan holds a Diploma and a PhD degree in Business Administration from the University of the Armed Forces in Munich and a Master of International Management (Post-MBA) degree from Thunderbird, School of Global Management. He is a lecturer at the University of Bremen. His research interests are in the field of hedge funds and equity valuation.

Thorsten Poddig has studied business administration, economics, and computer sciences. He received his PhD degree at the University of Bamberg. His work on concepts in Artificial Intelligence and its application to decision theory and decision making in business administration was followed by analyzing, modeling and forecasting financial markets with neural networks at the University of Freiburg.  Since 1996, he has been Professor of Business Administration and Finance at the University of Bremen. His research interests cover all aspects of asset management, including financial market modeling and forecasting, portfolio optimization and asset allocation, equity valuation, capital market theory and empirical finance.

Armin Varmaz studied business administration and economics. In his PhD thesis he analyzed the profitability, the competition and the efficiency in the German banking sector, using panel data approaches and data envelopment analysis. Since 2006 he has been a post-doctoral research fellow at the University of Bremen. His main interests and research experience include valuation theory, optimization in economics and empirical finance. He is currently working on advanced quantitative methods for analyzing, modeling and simulating long-term developments in financial markets.