Having adequate, sufficient and timely information and data is very important for investors' decision making. Processing information and allocating the asset are two fundamental tasks in the securities market and the stock price is more likely to have the nature of disclosure, information effectiveness and asset allocation efficiency. Thus, in this research, the effects of large block transacti...

ground penetrating radar (gpr) is one of high resolution geophysical methods for locating missed objects, buried equipments. gpr is a nondestructive testing method that is useful in various kinds of explorations such as mapping the archaeological sites. the safety of the archaeological sites is one of the most concerns of the archaeologists. one of the best gpr applications is in archaeology as...

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in the current seismic data acquisition techniques, sources are fired with large time intervals in order to avoid interferences between the responses of successively firing sources, measured by the receivers. this leads to a time-consuming and expensive survey. theoretically the waiting time between two successively firing sources has to be infinite, since the wavefield never vanishes completel...

Modern signal processing heavily relies on probability and statistics. Naturally, these subjects are emphasized in the signal processing curricula, at both the undergraduate and graduate levels. Historically, however, both probability and statistics were developed in order to solve various applied problems arising in economics and finance. Specifically, probability theory owes its existence to ...

Large scale financial narrative processing for UK annual reports has only become possible in the last few years with our prior work on automatically understanding and extracting the structure of unstructured PDF glossy reports. This has levelled the playing field somewhat relative to US research where annual reports (10-K Forms) have a rigid structure imposed on them by legislation and are subm...

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 ...

Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. Neural network is the well-known branch of machine learning & it has been used extensively by researchers for prediction of data and the prediction accuracy depends upon fine tuning of particular financial data. In this paper neural networks have been used for financia...

a r t i c l e i n f o The performance of financial decision-making directly concerns both businesses and individuals. Data quality is a key factor for decision performance. As the availability of online financial data increases, it also heightens the problem of data quality. In this paper, a taxonomy is created for data quality problems. More importantly, an ontology-based framework is proposed...