The study of investment under uncertainty was stagnant for several decades until developments in real options revitalized the field. The topics covered in this book include the reasons behind the under-investment programme.

Inhaltsangabe:Abstract: The objective of this dissertation is to examine the application of Real Options for the evaluation of companies with regard to acquisitions. There has been an intensive scientific discussion in the past years about the Real Options method for the evaluation of investments and mergers & acquisitions as in practice usually the management tries to capture future developments with static methods of capital budgeting. For example, future cash-flows are discounted with a fixed risk-adjusted discount rate. Therefore, the Real Options approach has been applied very rarely as it has the reputation of high complexity and poor practicability in daily business. However, the use of present values and capitalized values may produce pitfalls in acquisition decisions as strategic investment decisions might be characterized by a wide range of possibilities to react flexibly to a fast changing environment. In chapter 1, the term Mergers & Acquisitions (M&A) is defined and the motives as well as the relevance of M&A transactions for different branches are described in detail. Furthermore, the process and the different phases of a merger or an acquisition are explained. Chapter 2 presents traditional evaluation methods of static net present value, sensitivity analysis, Monte Carlo and decision tree. These classic methods are discussed and a comparison is drawn among these techniques in regard to practicability. At the end of this chapter, a evaluation is presented in regard to specific situations with the mayor parameter of uncertainty and flexibility for the application of these classic methods. The basic concept of option pricing is described in chapter 3. In addition, the Black-Scholes equation and the underlying assumptions are explained in detail in order to understand financial options, which are the basic for the Real Options approach. At the end of the chapter, an example of a call and put option is discussed in order to understand the functioning of options. Chapter 4 presents an introduction and definition of the Real Options method. Furthermore, the value drivers and the value creation due to the application of Real Options are discussed and analyzed in detail. After the discussion of the functioning of Real Options, a comparison of the analogy between financial Options and Real Options is done in order to possible differences. In this context, the limitations of the analogy of financial and Real Options are presented. Finally, [...]

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.

Corporate finance and corporate strategy have long been seen as different sides of the same coin. Though both focus on the same broad problem, investment decision-making, the gap between the two sides--and between theory and practice--remains embarrassingly large. This book synthesizes cutting-edge developments in corporate finance and related fields--in particular, real options and game theory--to help bridge this gap. In clear, straightforward exposition and through numerous examples and applications from various industries, Han Smit and Lenos Trigeorgis set forth an extended valuation framework for competitive strategies. The book follows a problem-solving approach that synthesizes ideas from game theory, real options, and strategy. Thinking in terms of options-games can help managers address questions such as: When is it best to invest early to preempt competitive entry, and when to wait? Should a firm compete in R&D or adopt an accommodating stance? How does one value growth options or infrastructure investments? The authors provide a wide range of valuation examples, such as acquisition strategies, R&D investment in high-tech sectors, joint research ventures, product introductions in consumer electronics, infrastructure, and oil exploration investment. Representing a major step beyond standard real options or strategy analysis, and extending the power of real options and strategic thinking in a rigorous fashion, Strategic Investment will be an indispensable guide and resource for corporate managers, MBA students, and academics alike.

Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management. - Covers all asset classes - Provides mathematical theoretical explanations of risk as well as practical examples with empirical data - Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities

More efficient credit portfolio engineering can increase the decision-making power of bankers and boost the market value of their banks. By implementing robust risk management procedures, bankers can develop comprehensive views of obligors by integrating fundamental and market data into a portfolio framework that treats all instruments similarly. Banks that can implement strategies for uncovering credit risk investments with the highest return per unit of risk can confidently build their businesses. Through chapters on fundamental analysis and credit administration, authors Morton Glantz and Johnathan Mun teach readers how to improve their credit skills and develop logical decision-making processes. As readers acquire new abilities to calculate risks and evaluate portfolios, they learn how credit risk strategies and policies can affect and be affected by credit ratings and global exposure tracking systems. The result is a book that facilitates the discipline of market-oriented portfolio management in the face of unending changes in the financial industry. - Concentrates on the practical implementation of credit engineering strategies and tools - Demonstrates how bankers can use portfolio analytics to increase their insights about different groups of obligors - Investigates ways to improve a portfolio's return on risk while minimizing probability of insolvency

A new paradigm for balancing flexibility and commitment in management strategy through the amalgamation of real options and game theory. Corporate managers who face both strategic uncertainty and market uncertainty confront a classic trade-off between commitment and flexibility. They can stake a claim by making a large capital investment today, influencing their rivals' behavior, or they can take a “wait and see” approach to avoid adverse market consequences tomorrow. In Competitive Strategy, Benoît Chevalier-Roignant and Lenos Trigeorgis describe an emerging paradigm that can quantify and balance commitment and flexibility, “option games,” by which the decision-making approaches of real options and game theory can be combined. The authors first discuss prerequisite concepts and tools from basic game theory, industrial organization, and real options analysis, and then present the new approach in discrete time and later in continuous time. Their presentation of continuous-time option games is the first systematic coverage of the topic and fills a significant gap in the existing literature. Competitive Strategy provides a rigorous yet pragmatic and intuitive approach to strategy formulation. It synthesizes research in the areas of strategy, economics, and finance in a way that is accessible to readers not necessarily expert in the various fields involved.