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The disposition effect has been confirmed by a large number of empirical investigations, it is a widely accepted empirical fact in behavioral finance. But few studies has paid attention on the actions and strategies of its counterparties - reverse disposition effect, which means investors tend to buy stocks that has risen in value while sell stocks that has decreased in value. We perform an experiment...
Output-input feedback (OIF) Elman neural network is a dynamic feedback network. An improved model is proposed based on the OIF Elman neural network by introducing direction profit factor in this paper. Moreover, the proposed model is applied to forecast the composite index of stock. In addition, some comparisons are also made when the stock exchange is performed using prediction results from OIF Elman...
An improved model based on Kohonen neural network, called self-organizing map neural network with two winners (SOM2W), is applied to assess stock companies in this paper. In addition, in order to improve the precision of solutions, tabu-mapping method is also used to avoid that the same output node is mapped by more than one input. The clustering analysis for the stock is also done by using SOM2W...
In order to obtain a reasonable method for new share pricing, new hybrid models based on self-organizing map with 2 winners (SOM2W) and radial basis function (RBF) neural network with characteristics of intelligence are proposed and applied to new share pricing in this paper. To enhance the dynamic competition and clustering capability of SOM2W network, and improve the precision of solutions, a tabu-mapping...
Research on stock company comprehensive assessment has always been an important focus for economists and computer experts. In this paper, the financial indexes reflecting the comprehensive capability of stock companies as main research objects including income per thigh, clean asset per thigh, profit rate of clean asset, Kohonen network with the advantage of clustering is applied to assess for stock...
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