Financial markets: very noisy information processing

Financial Markets: Very Noisy Information Processing

Financial Markets: Very Noisy Information Processing Malik Magdon-Ismail, Alexander Nicholson and Yaser S. Abu-Mostafa Abstract| We report new results about the impact of noise on information processing, with application to nancial markets. These results quantify the tradeo between the amount of data and the noise level in the data. They also provide estimates for the performance of a learning ...

Financial Markets: Very Noisy Information Processing - Proceedings of the IEEE

We report new results about the impact of noise on information processing with application to financial markets. These results quantify the tradeoff between the amount of data and the noise level in the data. They also provide estimates for the performance of a learning system in terms of the noise level. We use these results to derive a method for detecting the change in market volatility from...

Markets for Financial Information

Information Dispersion in Financial Markets

Public disclosures can level information asymmetry in financial markets by removing informed traders’ advantage, or can exacerbate asymmetry by further increasing these traders’ knowledge of the firm. This study finds evidence of the latter phenomenon in earnings conference calls, where management releases new information, and financial analysts on the call immediately respond and question mana...

Information Communication in Financial Markets∗

Empirical evidence shows word-of-mouth communication has real effects on trading patterns in financial markets. On top of that, the social network through which the information conveys also plays a crucial role. We propose a framework that allows informed traders to directly and truthfully communicate information in four major social interaction structures represented by circle, tree, star and ...