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As commodity markets have continued their expansion an extensive and complex financial industry has developed to service them. This industry includes hundreds of participating firms, including asset managers, brokers, consultants, verification agencies and a myriad of other institutions. Universities and other training institutions have responded to this rapid expansion of commodity markets as well as their substantial future growth potential by launching specialized courses on the subject. The Economics of Commodity Markets attempts to bridge the gap between academics and working professionals by way of a textbook that is both theoretically informative and practical. Based in part on the authors’ teaching experience of commodity finance at the University Paris Dauphine, the book covers all important commodity markets topics and includes coverage of recent topics such as financial applications and intuitive economic reasoning. The book is composed of three parts that cover: commodity market dynamics, commodities and the business cycle, and commodities and fundamental value. The key original approach to the subject matter lies in a shift away from the descriptive to the econometric analysis of commodity markets. Information on market trends of commodities is presented in the first part, with a strong emphasis on the quantitative treatment of that information in the remaining two parts of the book. Readers are provided with a clear and succinct exposition of up-to-date financial economic and econometric methods as these apply to commodity markets. In addition a number of useful empirical applications are introduced and discussed. This book is a self-contained offering, discussing all key methods and insights without descending into superfluous technicalities. All explanations are structured in an accessible manner, permitting any reader with a basic understanding of mathematics and finance to work their way through all parts of the book without having to resort to external sources.

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

The scientific and technological upheavals of the 20th Century and the questions and difficulties that went along with them (climate change, nuclear energy, GMO, etc.) have increased the necessity of thinking about and formalizing technoscientific progress and its consequences. Expert evaluations and ethics committees today cannot be the only legitimate sources for understanding the social acceptability and desirability of this progress. Responsibility must be shared out on a wider scale, as much in society as in the process of research and innovation projects. This book presents the main works of Responsible Research and Innovation (RRI) from a moral responsibility point of view, for which it calls upon no fewer than 10 understandings to bring out those which are positive and to support an interpretive and combinatory pluralism. In this sense, it demonstrates moral innovation. It analyzes numerous cases and proposes perspectives that are rarely discussed in this emerging field (current practices of ethical evaluation, concerns of the integrity of research, means for participatory technological evaluation, etc.). It contributes to the pledges of RRI, which largely remains theoretically undetermined even though it reorganizes the relationships between science, innovation and society.

The patent system is criticized today by some practitioners and economists. In fact, there is a partial disconnection between patent demographics and productivity gains, but also the development of actors who do not innovate and who develop business models that their detractors equate with a capture of annuities or a dangerous commodification of patents. This book provides a less Manichaean view of the position of patents in the system of contemporary innovation. It first recalls that these criticisms are not new, before arguing that if these criticisms have been revived, it is because of a partial shift from an integrated innovation system to a much more fragmented and open system. This shift accompanied the promotion of a more competitive economy. The authors show that this movement is coherent with a more intensive use of patents, but also one that is more focused on their signal function than on their function of direct monetary incentive to innovation.

Wer von Ihnen kennt die Situation nicht? Sie mochten in Ihrem Seminar, einem Moderationsgesprach, Vortrag oder Workshop Inhalte verdeutlichen und so erklaren, dass sie bei Ihren Zuhorern im Gedachtnis bleiben. Oder Sie brauchen einen Einstieg fur solche Situationen. Padagogisch wirksam soll er sein, ein Aufrei?er, ein Wachmacher. Eine einfache, kurze Geschichte, fur jeden verstandlich, klar in der Botschaft, interessant erzahlt. Doch manche Ihrer alten Geschichten nutzen Sie nur ungern, fur einige Themen haben Sie noch keinen richtig guten Einstieg und fur neue Problemstellungen findet sich auch nicht immer leicht ein gutes Gleichnis. Gegliedert nach Schlagworten, auswahlbar aus einem Verzeichnis mit mehr als 100 Themenbereichen und jeweils erganzt um ein Fazit, helfen Ihnen hier die «Modernen Parabeln»: wahre, erfundene oder ein bisschen wahre Geschichten, verpackt in diesem attraktiven, handlichen Buch. Einfache, kurze, gut einsetzbare Geschichten, die darauf warten, von Ihnen aufgegriffen, nacherzahlt oder wieder verandert zu werden.

Thoroughly grounded in an extensive body of international research and analysis, this book investigates the concepts surrounding a firm’s knowledge capital. These concepts play an integral part in the evolution of economic and managerial thinking, particularly in relation to the themes of firm, knowledge and innovation. The author advocates a greater socialization of the production of knowledge capital that stands in contradiction to the strong appropriation strategies that are predominant today. This book presents a historical analysis of the facts with a strong basis in the recent literature in economics and innovation management as well as in case studies of CAC 40 companies that have been conducted over the course of the past few years.

This book urges us to be creative in our way of thinking about innovation. Adopting an artificial perspective, the author emphasizes creative rationality: a form of thought that encourages knowledge crossing and invites an adventurous transgression. The question of how such a form of thought might be developed is addressed through a detailed examination of the educational system. The book frees itself from many of the myths that surround innovation, including the predominance of what the author calls the linear and hierarchical model.

Fantasy and science fiction are both involved in the process of innovation in techno-scientific societies. Long regarded as a hindrance to rationality, and to science, science fiction has become the object of praise in recent decades. Innovative organizations use science fiction to stimulate the creativity of their teams, and more and more entrepreneurs are using its influence to develop innovation. Scientific practice relies in part on an imaginary dimension. The mapping of the technical imagination of science fiction has become an important strategic issue, as has its patentability. The conquest of space, the construction of cyberspace and virtual reality, biotechnologies and nanotechnologies are all at the center of futuristic fictions that participate in scientific speeches and discoveries.

Apply CFA Program concepts and skills to real-world wealth and portfolio management for the 2018 exam The same official curricula that CFA Program candidates receive with program registration is now publicly available for purchase. CFA Program Curriculum 2018 Level III, Volumes 1-6 provides complete, authoritative guidance on synthesizing the entire CFA Program Candidate Body of Knowledge (CBOK) into professional practice for the 2018 exam. This book helps you bring together the skills and concepts from Levels I and II to formulate a detailed, professional response to a variety of real-world scenarios. Coverage spans all CFA Program topics and provides a rigorous treatment of portfolio management, all organized into individual study sessions with clearly defined Learning Outcome Statements. Visual aids clarify complex concepts, and practice questions allow you to test your understanding while reinforcing major content areas. Levels I and II equipped you with foundational investment tools and complex analysis skill; now, you'll learn how to effectively synthesize that knowledge to facilitate effective portfolio management and wealth planning. This study set helps you convert your understanding into a professional body of knowledge that will benefit your clients' financial futures. Master essential portfolio management and compliance topics Synthesize your understanding into professional guidance Reinforce your grasp of complex analysis and valuation Apply ethical and professional standards in the context of real-world cases CFA Institute promotes the highest standards of ethics, education, and professional excellence among investment professionals. The CFA Program Curriculum guides you through the breadth of knowledge required to uphold these standards. The three levels of the program build on each other. Level I provides foundational knowledge and teaches the use of investment tools; Level II focuses on application of concepts and analysis, particularly in the valuation of assets; and Level III builds toward synthesis across topics with an emphasis on portfolio management.

Clear, concise instruction for all CFA Level I concepts and competencies for the 2018 exam The same official curricula that CFA Program candidates receive with program registration is now publicly available for purchase. CFA Program Curriculum 2018 Level I, Volumes 1-6 provides the complete Level I Curriculum for the 2018 exam, delivering the Candidate Body of Knowledge (CBOK) with expert instruction on all 10 topic areas of the CFA Program. Fundamental concepts are explained in-depth with a heavily visual style, while cases and examples demonstrate how concepts apply in real-world scenarios. Coverage includes ethical and professional standards, quantitative analysis, economics, financial reporting and analysis, corporate finance, equities, fixed income, derivatives, alternative investments, and portfolio management, all organized into individual sessions with clearly defined Learning Outcome Statements. Charts, graphs, figures, diagrams, and financial statements illustrate concepts to facilitate retention, and practice questions provide the opportunity to gauge your understanding while reinforcing important concepts. Learning Outcome Statement checklists guide readers to important concepts to derive from the readings Embedded case studies and examples throughout demonstrate practical application of concepts Figures, diagrams, and additional commentary make difficult concepts accessible Practice problems support learning and retention CFA Institute promotes the highest standards of ethics, education, and professional excellence among investment professionals. The CFA Program Curriculum guides you through the breadth of knowledge required to uphold these standards.The three levels of the program build on each other. Level I provides foundational knowledge and teaches the use of investment tools; Level II focuses on application of concepts and analysis, particularly in the valuation of assets; and Level III builds toward synthesis across topics with an emphasis on portfolio management.

A practice-oriented guide to using C# to design and program pricing and trading models In this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software. Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, http://www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software.

Responsible Innovation. For some, this expression is only an oxymoron or, worse, a means of masking with a sheet of virtue economic practices that would otherwise appear selfish and self-interested. For others, theorists and actors of innovation, this expression represents a formidable lever of action and a rich conceptual source from which to draw new ways of innovating. The articulation between different levels of norms – economic and ethical, to which we can add the legal dimension – is not new, and is the subject of an in-depth reflection, decades old, around the idea of Corporate Social Responsibility (CSR). By taking up some debates on CSR, most of which are foreign to the current authors of responsible innovation, this book examines the various justifications that CSR brings in order to convince economic players, subject to powerful market forces, of their responsible commitment. But these are not enough. The book also explores the specific contribution of the concept of responsible innovation to coping with the technological, social and political breakthroughs generated by innovation, and is based on philosophical resources such as the ethics of virtue and the ethics of “care”.