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1 – 4 of 4The title of this book suggests the possibility that new ways of managing innovative processes may favour an evolution of the economy towards an altruistic model. This chapter…
Abstract
The title of this book suggests the possibility that new ways of managing innovative processes may favour an evolution of the economy towards an altruistic model. This chapter argues that the acceleration of innovative processes at the turn of the millennium has produced, or at least has not avoided, phenomena of the concentration of wealth and power in which it is difficult to discern an altruistic root. It is observed that the cultural models developed to interpret innovative phenomena are also focused on the profit of individual companies and not on altruistic values. The author goes on to indicate the appropriateness of referring to less limited phenomenological models and suggests exploring an analogy of innovation with Darwinian evolution. An outline of this approach is provided.
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In this study, we analyze the power of the individual return-to-volatility security performance heuristic (ri/stdi) to simplify the identification of securities to buy and…
Abstract
In this study, we analyze the power of the individual return-to-volatility security performance heuristic (ri/stdi) to simplify the identification of securities to buy and, consequently, to form the optimal no short sales mean–variance portfolios. The heuristic ri/stdi is powerful enough to identify the long and shorts sets. This is due to the positive definiteness of the variance–covariance matrix – the key is to use the heuristic sequentially. At the investor level, the heuristic helps investors to decide what securities to consider first. At the portfolio level, the heuristic may help us find out whether it is a good idea to invest in equity to begin with. Our research may also help to integrate individual security analysis into portfolio optimization through improved security rankings.