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This paper uses deep learning to value derivatives. The approach is broadly applicable, and we use a call option on a … basket of stocks as an example. We show that the deep learning model is accurate and very fast, capable of producing …
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In state-space models, parameter learning is practically difficult and is still an open issue. This paper proposes an … efficient simulation-based parameter learning method. First, the approach breaks up the interdependence of the hidden states and …
Persistent link: https://www.econbiz.de/10013094059
This work analyzes and models the nature and dynamics of organizational memory, as such an essential ingredient of organizational capabilities. There are two sides to it, namely a cognitive side, involving the beliefs and interpretative frameworks by which the organization categorizes the states...
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Using the evolutionary framework of inductive screening, this paper seeks to examine the drivers of technological catch-up in the integrated circuits (ICs) industry in Taiwan and China. The paper shows that IC manufacturing began with multinationals relocating export-oriented assembly operations...
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