Institute of Computational Modeling SB RAS, Academgorodok, Krasnoyarsk, Russia, 660036 e-mail: [email protected], phone +7 3912 495382 Abstract Risk measures are widely used in insurance pricing, portfolio selection, and in decision-making in general. Two prevalent classes of risk measures are expected utility (a dollar transform), and distorted probability (a probability transform). Both appro...

We analyze the implications of short-selling and margin purchase constraints for management compensation and portfolio optimization under moral hazard. First, looking at the manager’s problem, we show that her active portfolio (that is, net of the benchmark) will not be independent of the benchmark design. We solve analytically for the benchmark composition that maximizes e¤ort expenditure. Ana...

As seen in the wide range of researches, the lack of a proper and profitable business model is an important factor in companies’ failure and in the use of Internet and e-business. In this paper we want to determine the best (or portfolio of) e-business models for each organization by which they can use Internet and information technologies in the optimal manner in their business. To do so, we w...

This paper adopts the spread of fuzzy variable as a new criteria in practical risk management problems, and develops a novel fuzzy expectation-spread (E-S) model for portfolio optimization problem. Since the spread is defined by Lebesgue-Stieltjes (L-S) integral, its computation for general fuzzy variables is a challenge issue for research, and usually depends on approximation scheme and soft c...

Curriculum umfassende Portfolioarbeit fördert selbstgesteuertes und selbstverantwortetes Lernen im BSc Soziale Arbeit der ZHAW Züricher Hochschule für Angewandte Wissenschaften. Im Herbst 2011 wurden dazu vier einzeln belegbare Module in Anlehnung an Blended Learning konzipiert. Die kontinuierliche Portfolioarbeit leistet einen wesentlichen Beitrag zur Integration fragmentierter Lernprozesse un...

This paper describes adaptive e-learning systems with learning portfolio for IT education. Our project is one of Modern Good Practice (MGP) which is supported by Ministry of Education, Culture, Sports, Science and Technology in Japan. We have developed the framework of adaptive e-learning systems which is called POLITE. POLITE has a curriculum-based learning environment based on SCORM2004 and e...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

This descriptive study investigates the diffusion of electronic portfolios in preservice teacher education by documenting the context and emergent practices in six programs identified as mature in their implementation. Context variables examined include prior use of paper portfolios, pressures for standards-based assessment, and leadership and governance issues. Variations in program implementa...