The present volume collects a selection of revised papers which were presented at the 21st Euro Working Group on Financial Modelling Meeting, held in Venice (Italy), on October 29-31, 1997. The Working Group was founded in September 1986 in Lisbon with the objective of providing an international forum for the exchange of information and experience; encouraging research and interaction be tween financial economic theory and practice of financial decision mak ing, as well as circulating information among universities and financial institutions throughout Europe. The attendance to the Meeting was large and highly qualified. More than 80 participants, coming from 20 different Countries debated on 5 invited lectures and 40 communications in regular sessions. The sessions were located at the Island of San Servolo, on the Venetian lagoon, just in front of the Doges Palace. San Servolo Island is a natural oasis, in the midst of a unique urban setting, offering great relaxation in a peaceful park and a panoramic view of Venice. The friendly atmosphere added great benefit to the formal and informal discussions among the participants, -which is typical of E.W.G.F.M. Meetings. It is interesting to consider the story of the Meeting. The previous locations were held at Cyprus, Crete and Dubrovnik - former mile stones of the Venitian Republic influence on the Mediterranean Sea. Therefore, that this Meeting should be harboured in the heart of the Republic itself (namely, the Saint Mark basin), was only a matter of consequence.

Franchising networks are experiencing great success in international business organization. Few books try to explain the characteristics of these networks. Contrary to the existing literature this book tackles more theoretical problems related to governance, organization, knowledge management, contract design, incentive and regulation issues both from the economic and management view point. It delivers new theoretical and empirical results regarding plural forms, contract design, and knowledge and strategic management issues. Its purpose is to offer researchers and practitioners new theoretical and empirical insights in one of the most important economic phenomenon at the beginning of the 21st century: Franchising networks as organizational arrangement for growth and internationalization of firms.

The productivity in pharmaceutical research and development faces intense pres sure. R&D expenditures of the major US and European companies have topped US$ 33 billion in 2003 compared to around US$ 13 billion just a decade ago. At the same time, the number of new drug approvals has dropped from 53 in 1996 to only 35 in 2003. Moreover, the protraction of clinical trials has significantly reduced the effective time of patent protection. The consequences are devastating. Monopoly profits have started to decline and the average costs per new drug have reached a re cord level of close to US$ 1 billion today. As a result, any failure of a new sub stance in the R&D process can lead to considerable losses, and the risks of introduc ing a new drug to the market have grown tremendously. Particularly if a company is highly dependent on just a handful of mega-selling blockbuster drugs, the risks can be even greater. For example, Pfizer generated about 90% of its worldwide revenues in 2002 with just 8 products. Any shortfall of a promising late-stage drug candidate would have left Pfizer with a gaping hole in its product portfolio. In order to deal with these risks, many pharmaceutical companies have started to organize their R&D in partnership. In fact, more than 600 alliances in pharmaceutical R&D are signed every year.

The fifth International Telework Workshop was held in Stockholm in the fall of 2000. The conference was attended by almost 100 participants from all continents of the world. It therefore covered a broad range of subjects relating to Telework. Its success was in some part due to the work of the program committee composed of Birger Rapp (General Chairman), Maarten Botterman, Geoff Dick, Gil Gordon, Ursula Huws, Paul Jackson, Peter Johnston, Patricia L. Mokhtarian, Victor de Pous, Lars Qvotrup, Wendy Spinks and Reirna Suomi. After the conference we decided to write a book on the theme "Organization and the future after 2000". Many of the participants as well as others were invited to contribute a chapter of about ten pages. The resulting book of almost 400 pages therefore provides a comprehensive overview of ongoing research in the field of Telework. Birger Rapp and Paul Jackson edited the book. The intended audience for this book spans disciplinary and professional boundaries. It primarily relates to the disciplines of Business and Management Studies, Information Management, E-commerce and E-business. In a broader sense, it relates to Sociology, Media Studies and Economics.

In today’s competitive environments enterprises face diminishing market life spans, increasing pressure on profit margins and increasingly complex c- tomer requirements. Thus in their operations, modern organizations have to find a high-level balance between dynamics, complexity and precision in order to best utilize their markets. Organization Theory and Industrial En- neering, the disciplines on hand helping industry to cope with this challenge, soon identified process optimizations as the key to possible solutions. Many efforts have been undertaken to provide sound theoretical models to deal with complexity and dynamics and streamline business processes. These efforts on the one hand helped companies to be more precise in carrying out their actions and even provided solutions to produce customized products at near-mass production prices (Mass-Customization). On the other hand it t- ned out to be one of the most difficult tasks to generalize and transfer ex- riences gained in one process-reengineering project to another and put the theoretical models into practice. Not without reason is it the extremely high failure rate of business-process-reengineering projects that today deters most enterprises from entering such adventures. Right at the same time there emerged a new and highly promising scientific branch, Knowledge Management, that attracted many disciplines – among others again Organization Theory and Industrial Engineering. Knowledge was identified as a major production factor. In industrialized countries, value added is mainly raised by the intellectual abilities of a company’s workforce.

An introduction to many mathematical topics applicable to quantitative finance that teaches how to “think in mathematics” rather than simply do mathematics by rote. This text offers an accessible yet rigorous development of many of the fields of mathematics necessary for success in investment and quantitative finance, covering topics applicable to portfolio theory, investment banking, option pricing, investment, and insurance risk management. The approach emphasizes the mathematical framework provided by each mathematical discipline, and the application of each framework to the solution of finance problems. It emphasizes the thought process and mathematical approach taken to develop each result instead of the memorization of formulas to be applied (or misapplied) automatically. The objective is to provide a deep level of understanding of the relevant mathematical theory and tools that can then be effectively used in practice, to teach students how to “think in mathematics” rather than simply to do mathematics by rote. Each chapter covers an area of mathematics such as mathematical logic, Euclidean and other spaces, set theory and topology, sequences and series, probability theory, and calculus, in each case presenting only material that is most important and relevant for quantitative finance. Each chapter includes finance applications that demonstrate the relevance of the material presented. Problem sets are offered on both the mathematical theory and the finance applications sections of each chapter. The logical organization of the book and the judicious selection of topics make the text customizable for a number of courses. The development is self-contained and carefully explained to support disciplined independent study as well. A solutions manual for students provides solutions to the book's Practice Exercises; an instructor's manual offers solutions to the Assignment Exercises as well as other materials.

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!

During the last decades the globalization, the intensified competition and the rapid changes in the socio-economic and technological environment had a major impact on the global economic, financial and business environments. Within this environment, it is clear that banking institutions worldwide face new challenges and increasing risks, as well as increasing business potentials. The recent experience shows that achieving a sustainable development of the banking system is not only of interest to the banking institutions themselves, but it is also directly related to the development of the whole business and economic environment, both at regional and international level. The variety of new banking products that is constantly being developed to accommodate the increased customer needs (firms, organizations, individuals, etc.) provides a clear indication of the changes that the banking industry has undergone during the last two decades. The establishment of new products of innovative processes and instruments for their requires the implementation efficient management. The implementation of such processes and instruments is closely related to a variety of disciplines, advanced quantitative analysis for risk management, information technology, quality management, etc. The implementation ofthese approaches in banking management is in accordance with the finding that empirical procedures are no longer adequate to address the increasing complexity of the banking industry.

In January 2000, Mercedes-Benz started to implement the Mercedes-Benz Prod- tion System (MPS) throughout its world-wide passenger car plants. This event is exemplary of a trend within the automotive industry: the creation and introduction of company-specific standardised production systems. It gradually emerged with the introduction of the Chrysler Operating System (COS) in the mid-1990s and represents a distinct step in the process towards implementing the universal pr- ciples of lean thinking as propagated by the MIT-study. For the academic field of industrial sociology and labour policy, the emergence of this trend seems to mark a new stage in the evolution of the debate about production systems in the auto- tive industry (Jürgens 2002:2), particularly as it seems to undermine the stand of the critics of the one-best way model (Boyer and Freyssenet 1995). The introduction of company-level standardised production systems marks the starting point of the present study. At the core of it is a case study about the M- cedes Benz Production System (MPS).

Traditionally resources for R and D projects are allocated via planning and budgeting procedures, evaluation methods and hierarchical decision-committees. This book presents resource allocation via internal markets as an alternative to such hierarchical decision procedures. Internal R and D markets can help to overcome the weaknesses of traditional hierarchical structures, since they are characterised by short communication and decision procedures and thus contribute to the reduction of information asymmetries.