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To study the characteristics-sorted factor model in asset pricing, we develop a bottom-up approach with state-of-the-art deep learning optimization. With an economic objective to minimize pricing errors, we train a non-reduced-form neural network using firm characteristics [inputs], and generate...
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The dynamic choice between individual and social learning is explored for a population of autonomous agents whose objective is to find solutions to a stream of related problems. The probability that an agent is in the individual learning mode, as opposed to the social learning mode, evolves over...
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This paper argues that interest differences are the key to understanding the nature of organizational learning and the processes by which it occurs, yet the concept of 'interest' is very much underdeveloped in the organizational learning literature. Drawing on the work of Habermas and Lukes, the...
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