In bad times, uncertainty is high, so that investors find it more difficult to assess the prospects of the firms they invest in. Learning models suggest that in such times investors should, everything else equal, value informative signals such as analyst forecasts and recommendations more than in good times. However, the higher uncertainty in bad times and career concerns stemming from troubled...

We examine the causal impact of financial analysts on firms’ socially responsible activities. Relying on brokerage closures and mergers as natural experiments which generate exogenous changes in analyst coverage, our Difference-in-Differences estimator indicates that a reduction in analyst coverage causes firms to engage more aggressively in irresponsible behavior, especially in the dimensions ...

CellProfiler Analyst allows the exploration and visualization of image-based data, together with the classification of complex biological phenotypes, via an interactive user interface designed for biologists and data scientists. CellProfiler Analyst 2.0, completely rewritten in Python, builds on these features and adds enhanced supervised machine learning capabilities (Classifier), as well as v...

While Wall Street closely watches financial analysts’ earnings forecasts, Main Street often scrutinizes product quality relative to competition. Do firms with superior product competitiveness enjoy greater likelihood of beating analyst earnings target? And if so, is there contingency in this impact? We show that positive changes in product competitiveness contribute to the firm’s likelihood of ...

nowadays two important discussions in academic parties all over the world are energy crisis and environment crisis. one of the strategies to deal with these crisises is using clean, renewable and domestic energy sources. one of the best renewable energies that can be used in different scales is solar energy. in iran which is considered among the greatest countries that receive huge amount of so...

This study investigates the stock characteristic preferences of institutional Australian equity managers. In aggregate we find that active managers exhibit preferences for stocks exhibiting high price variance, large market capitalisation, low transaction costs, value-oriented stocks, greater levels of analyst coverage, and some evidence of a preference for stocks with less variability in analy...

A major function of a security analyst is to analyze collected intelligence looking for plans, associated events, or other evidence that may identify an adversary’s intent. Armed with this knowledge, the analyst then develops potential responses (e.g., countermeasures) to deter the discovered plan or plans, weighs their strengths and weaknesses (e.g., collateral damage) and then makes a recomme...

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...

We present a general method for employing interactive embedding techniques to enable an analyst to explore a larger collection of local patterns. The common idea among pattern-mining methods is to list descriptions of subsets of a dataset according to some interestingness measure. Because the space of all patterns in a dataset is exponentially large in the number of attributes, most pattern-min...