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Methodology for investigating moderating relationships in cognitive biases within workplace decision-making. [PDF]
Ohms B.
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Path dependence in immunisation programmes and how implementation science can guide system reform towards self-reliance in Africa. [PDF]
Adamu AA, Wiysonge CS.
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Enhancing Physician Resilience to Generative AI: Multilevel Framework for Shared Authority, Verification, and Skill Preservation. [PDF]
Pan H, Liu J, Liu S.
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Enhancing product quality incorporating additive manufacturing on recycled inventory system with deterioration and delayed payment. [PDF]
Priskilla B +5 more
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The Sustainability of Investment Decision Making
Journal of Behavioral Finance, 2022This paper develops and tests a new multi-attribute, behavioral based measure of mutual fund performance, based at the portfolio decision-making rather than trade level, using the alpha score, hit rate and the win-loss ratio. These measures are then combined to develop a multi-attribute measure of “efficiency”; the author decomposes this into technical,
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2017
This chapter is a review of different approaches academics take to find right answers on the question how investors' community makes decisions on optimal portfolio of securities and how this process converges toward capital market equilibrium. Authors will try to reconcile the approaches that come from different intellectual traditions.
Aleksandar Šević, Srđan Marinković
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This chapter is a review of different approaches academics take to find right answers on the question how investors' community makes decisions on optimal portfolio of securities and how this process converges toward capital market equilibrium. Authors will try to reconcile the approaches that come from different intellectual traditions.
Aleksandar Šević, Srđan Marinković
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A POSSIBILISTIC APPROACH TO INVESTMENT DECISION MAKING
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2013The concept of possibilistic mean value and variance of fuzzy numbers has been applied to investment decisions by using a nonlinear type of fuzzy numbers called adaptive fuzzy numbers. In this paper, by extending the notion of adaptive fuzzy number, we propose a more flexible methodology.
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