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Non-traditional data signals from social media and employment platforms for DSI stock analysis

This table reports summary statistics of the key variables in multivariate OLS analysis. The sample comes from multiple sources. Firm-level financial data come from COMPUSTAT database. Corporate social responsibility data come from MSCI ESG KLD database. Institutional investor holdings data come from Thomson Reuters Institutional (13F) Holdings database (adjusted by Factset Institutional Holdings database after June 2013). Analyst coverage data come from Institutional Brokers Estimate System (I\B\E\S). We require observations to satisfy the following criteria: (1) Book equity is positive; (2) Each firm should at least have 2-year consecutive observations; (3) Variables are available in all observations; (4) Firms are not in financial (SIC code 6000–6999) or utility (SIC codes 4900–4999) industries. Finally, the sample consists of 13,112 observations that meet these criteria during 1995–2014 when both Thomson Reuters Institutional (13F) Holdings and KLD are available. All continuous variables are winsorized at 1st and 99th percentiles to alleviate the potential disturbance from outliers. The variable definitions are provided in Table A1 of S1 Appendix.

Kld solutions MB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

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This table reports the summary statistics of the key variables in the quasi-natural experiment based on mergers between financial institutional blockholders during 1995–2012. The sample comes from multiple sources. Firm-level financial data come from COMPUSTAT database. Corporate social responsibility data come from MSCI ESG KLD database. Institutional investor holdings data come from Thomson Reuters Institutional (13F) Holdings database. Analyst coverage data come from Institutional Brokers Estimate System (I\B\E\S). We require observations to satisfy the following criteria: (1) Book equity is positive; (2) Each firm should at least have 2-year consecutive observations; (3) Variables are available in all observations; (4) Firms are not in financial (SIC code 6000–6999) or utility (SIC codes 4900–4999) industries. Our sample includes 3,778 firm-years that meet these criteria during 1995–2012 when Thomson Reuters Institutional (13F) Holdings and KLD are available and firms can be matched to blockholder mergers. All continuous variables are winsorized at 1st and 99th percentiles to alleviate the potential disturbance from outliers.

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Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

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The Neuron tag is that used in the original data repository; the asterisk denotes the data used for the histogram in Fig 9. ‘Coherence’ is the percentage of the dots moving coherently in the random dot stimulus. ‘Direction’ (0 or 1) indicates overall stimulus direction: direction ‘1’ is the preferred direction of the neuron (across its entire tuning curve) while direction ‘0’ is its opposite. ‘Number of ISIs’ is the size of our sample, resulting from pooling data across the ‘number of trials’ indicated in the adjacent column.Data sets from [31] used to generate ISI distributions.

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Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Het Korps Luchtwachtdienst (KLD) is opgericht in 1950 en was onderdeel van het Commando Luchtverdediging van de Koninklijke Luchtmacht. Vrijwilligers van het KLD keken over het hele land uit naar laagvliegende vijandelijke indringers. Het KLD bouwde tussen 1951 en 1955 een netwerk van 276 hoge uitkijkposten verspreid over het hele land. De ene helft op bestaande gebouwen, de andere helft op speciaal gebouwde torens. De uitkijkposten lagen in een grid van driehoeken verspreid over Nederland. De dataset Netwerk KLD geeft een beeld van het toenmalige kaartbeeld, waarvan inmiddels vooral de speciaal gebouwde torens al weer grotendeels afgebroken zijn.

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