Abstract The project constructs a stock selection model by machine learning methods to enhance the performance of benchmark index for individual investors. Stock returns prediction is highly researched topic. However, it difficult problem because prices are complex, non-linear, and chaotic. Moreover, overfitting always an important issue in field. In this article, shows that how solve these pro...

This paper examines the disruptive impact that open source (OS) software has on the mainstream software market within the period 2001 2003. The findings indicate that the stock market reacted negatively when the strategic responses of closed source incumbents were antagonistic to open source despite their relentless effort and investment in product and service enhancement. Whereas their counter...

Positive density dependence (i.e. Allee effects) can create a threshold of population states below which extinction of the population occurs. The existence of this threshold, which can often be a complex, multi-dimensional surface, rather than a single point, is of particular importance in degraded populations for which there is a desire for successful restoration. Here, we incorporated positiv...

in this study, we focused on tehran stock exchange market analysis based on applying moving average rules. the tehran stock exchange in the middle east has evolved into an exciting and growing marketplace where individual and institutional investor trade securities of over 420 companies. in an attempt to examine the ability to earn excess return by exploiting moving average rules, the average a...

Abstract We study the economic management of a renewable resource, stock which is spatially distributed and moves over discrete or continuous spatial domain. In contrast to standard harvesting models where agent can control take-out from stock, we consider case optimal enhancement. other words, model an who is, either because ecological concerns incentives, interested in conservation enhancemen...