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Das Buch vermittelt dem Leser nach einer Einleitung (Kapitel 1) zunächst einen systematischen Überblick zu den aktuell existierenden Anlageklassen (Kapitel 2). Darauf aufbauend geht der Verfasser auf die Subjekte ein (Kapitel 3). Die Zusammenführung von Anlageobjekten und Subjekten führt zum Preis bzw. Wert eines Anlageobjektes (Kapitel 4). Zielgruppe des vorliegenden Buchs sind zunächst Studierende der Betriebswirtschaftslehre oder anderer Disziplinen, die sich mit Fragen der Kapitalanlage beschäftigen. Aber auch Anlageberater und andere Praktiker kommen als Leser in Frage.

A new economy is emerging. An economy that is transforming the fundamental rules of business. An economy based on exploiting knowledge and innovation. An economy where knowledge is the main source of wealth for regions, nations, enter­ prises and people. This new economy is based on economic values far removed from those of the industrial economy. Value has shifted towards intangibles and in particular towards increasing value by incorporating knowledge into services and products. The advent of this new economy is rapidly changing the role and structure of global business. Winning enterprises are those best able to harness the benefits and opportunities of information and communication technology, capitalize on their knowledge base and move at the speed of the market. Knowledge management lies at the heart of the European Community's competi­ tiveness strategy. The European Commission facilitates and supports applied research in knowledge management through its Information Society Technologies (1ST) programme, a major theme of research and technological development within the European Union's Research and Technology Development Framework Programme. Specifically, the New Methods of Work and Electronic Commerce action of the 1ST programme supports long-term applied research in areas combin­ ing technological innovation with new work practices and advanced business and work models.

On behalf of the Organizing Committee we are pleased to present the p- ceedings of the 2008 Symposium on Component-Based Software Engineering (CBSE). CBSE is concerned with the development of software-intensivesystems from independently developed software-building blocks (components), the - velopment of components, and system maintenance and improvement by means of component replacement and customization. CBSE 2008 was the 11th in a series of events that promote a science and technology foundation for achieving predictable quality in software systems through the use of software component technology and its associated software engineering practices. Wewerefortunateto haveadedicatedProgramCommitteecomprisingmany internationallyrecognizedresearchersandindustrialpractitioners.Wewouldlike to thank the members of the Program Committee and associated reviewers for their contribution in making this conference a success. We received 70 subm- sions and each paper was reviewed by at least three Program Committee m- bers (four for papers with an author on the Program Committee). The entire reviewing process was supported by the Conference Management Toolkit p- vided by Microsoft. In total, 20 submissions were accepted as full papers and 3 submissions were accepted as short papers.

This book constitutes the refereed proceedings of the 9th International Symposium on Search-Based Software Engineering, SSBSE 2017, held in Paderborn, Germany, in September 2017.  The 7 full papers and 5 short papers presented together with 4 challenge track and 2 students student track papers were carefully reviewed and selected from 26 submissions. SSBSE welcomes not only applications from throughout the software engineering lifecycle but also a broad range of search methods ranging from exact Operational Research techniques to nature-inspired algorithms and simulated annealing.

This book constitutes the refereed proceedings of the 12th International Symposium on Search-Based Software Engineering, SSBSE 2020, held in Bari, Italy, in October 2020. The 13 research papers and 5 short papers presented together with 1 keynote were carefully reviewed and selected from 34 submissions. SBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results. Due to the Corona pandemic SSBSE 2020 was held as a virtual event.

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Private wealth management (PWM) involves the management of the assets of high net worth individuals (HNWI) or accredited investors. Private wealth management firms have established close working relationships with high net worth clients to understand their financial needs and help them build investment portfolios that can meet their clients' financial goals.

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