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The valuation of the liability structure can be determined by real options because the shares of a company can be regarded as similar to the purchase of a financial call option. Therefore, from this perspective, debt can be viewed as the sale of a financial put option. As a result, financial analysts are able to establish different valuations of a company, according to these two financing methods. Valuation of the Liability Structure by Real Options explains how the real options method works in conjunction with traditional methods. This innovative approach is particularly suited to the valuation of companies in industries where an underlying asset has high volatility (such as the mining or oil industries) or where research and development costs are high (for example, the pharmaceutical industry). Integration of the economic value of net debt (rather than the accounting value) and integration of the asset volatility are the main advantages of this approach.
Examines the ways in which real options theory can contribute to strategic management. This volume offers conceptual pieces that trace out pathways for the theory to move forward and presents research on the implications of real options for strategic investment, organization, and firm performance.
Real R&D options are among the earliest modelled real options, with now ten primary practical uses: general R&D planning, planning R&D in stages, evaluating test information, new product development timing, operations, abandonment, risk sharing, market funding, industry strategy and regulation. This book was partly motivated by requests to identify and develop real option models for R&D in telecommunications, petroleum technology and biotechnology. Nine new models cover information and implementation costs, analytical solutions for mean reverting, or fat tailed revenues, endogenous learning and exogenous and experiential shocks, American sequential options, and innovator advantages. Four new applications include forward start development options, exploration options, innovation with information costs, and innovator's real values with changing market share. R&D directors and researchers will find several uses for these models: - general R&D planning - evaluating test information - new product development timing - risk sharing - industry strategy and regulation - A practical guide to how organizations can use Real Option techniques to effectively value research and development by companies - Provides a rigorous theoretical underpinning of the use of Real Option techniques - Real Options applications are orientated around the economies of North America, Europe and Asia, for an international perspective
"Aswath Damodaran is simply the best valuation teacher around. If you are interested in the theory or practice of valuation, you should have Damodaran on Valuation on your bookshelf. You can bet that I do." -- Michael J. Mauboussin, Chief Investment Strategist, Legg Mason Capital Management and author of More Than You Know: Finding Financial Wisdom in Unconventional Places In order to be a successful CEO, corporate strategist, or analyst, understanding the valuation process is a necessity. The second edition of Damodaran on Valuation stands out as the most reliable book for answering many of today?s critical valuation questions. Completely revised and updated, this edition is the ideal book on valuation for CEOs and corporate strategists. You'll gain an understanding of the vitality of today?s valuation models and develop the acumen needed for the most complex and subtle valuation scenarios you will face.
The Art of Company Valuation and Financial Statement Analysis: A value investor’s guide with real-life case studies covers all quantitative and qualitative approaches needed to evaluate the past and forecast the future performance of a company in a practical manner. Is a given stock over or undervalued? How can the future prospects of a company be evaluated? How can complex valuation methods be applied in practice? The Art of Company Valuation and Financial Statement Analysis answers each of these questions and conveys the principles of company valuation in an accessible and applicable way. Valuation theory is linked to the practice of investing through financial statement analysis and interpretation, analysis of business models, company valuation, stock analysis, portfolio management and value Investing. The book’s unique approach is to illustrate each valuation method with a case study of actual company performance. More than 100 real case studies are included, supplementing the sound theoretical framework and offering potential investors a methodology that can easily be applied in practice. Written for asset managers, investment professionals and private investors who require a reliable, current and comprehensive guide to company valuation, the book aims to encourage readers to think like an entrepreneur, rather than a speculator, when it comes to investing in the stock markets. It is an approach that has led many to long term success and consistent returns that regularly outperform more opportunistic approaches to investment.
Corporate finance is the area of finance that studies the determinants of firms' values, including capital structure, financing, and investment decisions. Although there are several excellent texts in corporate finance, this is the first to focus on the theoretical foundations of the subject in a consistent and integrated way at the Ph.D. level. In addition to a textbook for advanced graduate students, it can also serve as a general reference to researchers and sophisticated practitioners. The material presented is carefully selected with an eye to what is essential to understanding the underlying theory, ensuring that this text will remain useful for years to come. The book is divided into three parts. The first section presents the basic principles of valuation based on the absence of arbitrage, including a discussion of the determinants of the optimal capital structure based on the seminal results of Modigliani and Miller. The second section discusses the implications of agency problems and information asymmetries to capital structure, giving particular attention to payout policy and to debt contract design. The concluding portion presents different ways of restructuring capital, including going public, going private using stock repurchases or leveraged buyouts, and mergers and acquisitions. Each chapter includes exercises that vary in difficulty, with suggested solutions provided in an appendix. This book will assuredly be the standard doctoral- and professional-level explication of corporate finance theory and its appropriate applications.
Successive IPCC reports consistently stress the devastating impact of human activity on the climate. An ecological transition seems essential to modify our economic and social system, while meeting the needs of current and future generations. As the main culprits of environmental destruction, companies must modify their production methods to reduce their negative impact on the environment. Eco Design and Ecological Transition presents an innovative approach to eco design, a method that aims to offer products or services with a reduced environmental impact compared to conventional production methods, from the extraction of resources to the end of the product’s life. The book also analyzes the potential of the circular economy and frugal innovation. It shows that innovation, to be sustainable, must be both environmentally and socially sustainable. From a systemic point of view, it examines the ability of players, particularly companies, to change their strategies in order to combine human well-being and respect for the environment in the context of ecological transition.
The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.
The main aim of opening up innovation is to optimize the process of creating innovations, while pooling human, financial and material resources. Various profiles of actors are thus brought together in order to collaborate to achieve common objectives and share their particular interests. This book describes the challenges of collaboration in the development of innovations in a context where the sustainability of value chains is central. The diversity of collaborative forms, shared spaces (FabLab, LivingLab, co-working spaces), the intrinsic characteristics of innovation, and the actors actively involved in its emergence are all addressed in this book. The structuring of partners collaborating in innovative projects in specific environments is also discussed. Furthermore, it questions the social responsibility of companies and their innovative role in generating sustainable solutions for stakeholders.