We introduce a new methodology for forecasting which we call Signal Diffusion Mapping. Our approach accommodates features of real world financial data which have been ignored historically in existing forecasting methodologies. Our method builds upon well-established and accepted methods from...

The role of traditional or social media-expressed tone on stock prices is nuanced. Negative tone of traditional media articles is much more likely to convey material information than web messages. Some topics, regardless of source, are unusually negative, causing fluctuations in investor...

This article describes how the era of hyper-connectivity is characterized by distributed, crowd-centric ecosystems that utilise cutting edge technology so as to harness the collective power, co-creation ability and intelligence of the crowd utilising under open participatory value creation...

Trading volume and order flow have both been closely associated with informed trader activity in the market microstructure literature. Using theory that explains regular intraday patterns in trading data, we transform these two variables into proxies for private information and examine their...

In this paper, we examine the Adaptive Market Hypothesis (AMH) through four well-known calendar anomalies in the Dow Jones Industrial Average from 1900 to 2013. We use subsample analysis as well as rolling window analysis to overcome difficulties with each method type of analysis. We also create...