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An OLAP Endpoint for RDF Data Analysis Using Analysis Graphs
Exploiting Resource Description Framework (RDF) data for Online Analytical Processing (OLAP), especially Linked Open Data (LOD), could allow analysts to obtain interesting insights. To conduct OLAP analysis over RDF data, analysts should know the specific semantics, structure, and querying mechanisms of such data. Furthermore, these data should ideally adhere to a multidimensional structure to ...
متن کاملThe effect of ability, independence, and investor sentiment on analysts’ propensity to use their own earnings forecasts in stock recommendations
This paper examines the factors that affect analysts’ propensity to use their own earnings forecasts in stock recommendations. We find that ability, independence, and investor sentiment all contribute to the inefficiency with which analysts incorporate their own earnings forecasts into stock recommendations. The transformational inefficiency is higher for analysts who have a shorter history of ...
متن کاملHow Much Do Analysts Influence Each Other’s Forecasts
This paper develops and applies a new approach to disentangling the influence of analysts on each other’s earnings forecasts from the effects of correlated information shocks. We estimate that, on average, each cent a new forecast by an analyst is above (below) another analyst’s most recent forecast causes the other analyst to revise her forecast upwards (downwards) by between 0.21 and 0.36 cen...
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Two factors have affected the work of modem data analysts more than any others. First, the size of machine-readable data sets has increased, especially during the last decade or so. Second, computational methods and tools are being developed that enhance traditional statistical analysis. These two developments have created a new range of problems and challenges for analysts, as well as new oppo...
متن کاملAnalysts’ Use of Public Information and the Profitability of their Recommendation Revisions
I examine the relationship between analysts’ use of public information and the performance of their stock recommendations. I construct a measure of analysts’ reliance on public information (RPI) based on the sensitivity of their recommendation revisions to quantitative variables that are known to predict returns. I find a strong negative relationship between analysts’ past RPI and their future ...
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