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Tag: Finance PhD

A LEARNING PROCESS USING SVMS FOR MULTI-AGENTS DECISION CLASSIFICATION

Contact CMCRC for this article Author(s): Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang

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EXCHANGE TRADING RULES, SURVEILLANCE AND INSIDER TRADING

Are rules and their enforcement effective at mitigating insider trading? A study shows that rules and surveillance together have the potential to mitigate the perpetration of market manipulation but also to exacerbate the profits from such manipulative activities. Insider trading can be facilitated by several forms of market manipulation that are not, strictly speaking, by

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TIKHONOV OR LASSO REGULARIZATION: WHICH IS BETTER AND WHEN. IN TOOLS WITH ARTIFICIAL INTELLIGENCE

pages 795–802. IEEE, 2013. It is well known that supervised learning problems with ℓ1 (Lasso) and ℓ2 (Tikhonov or Ridge) regularizers will result in very different solutions. For example, the ℓ1 solution vector will be sparser and can potentially be used both for prediction and feature selection. However, given a data set it is often hard to determine

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