• user warning: Got error 28 from storage engine query: SELECT t.* FROM term_node r INNER JOIN term_data t ON r.tid = t.tid INNER JOIN vocabulary v ON t.vid = v.vid WHERE r.vid = 531123 ORDER BY v.weight, t.weight, t.name in /var/www/www.fnno.com/htdocs/modules/taxonomy/taxonomy.module on line 617.
  • user warning: Got error 28 from storage engine query: SELECT DISTINCT(node.nid) AS nid, node_kaltura.kaltura_thumbnail_url AS node_kaltura_kaltura_thumbnail_url, node.title AS node_title, node_revisions.body AS node_revisions_body, node_revisions.format AS node_revisions_format, node_kaltura.kaltura_entryId AS node_kaltura_kaltura_entryId, node_kaltura.kaltura_plays AS node_kaltura_kaltura_plays, node_revisions.timestamp AS node_revisions_timestamp, node_kaltura.kaltura_duration AS node_kaltura_kaltura_duration, node_kaltura.kaltura_tags AS node_kaltura_kaltura_tags, node_kaltura.kaltura_admin_tags AS node_kaltura_kaltura_admin_tags, users.uid AS users_uid, users.name AS users_name, node.created AS node_created FROM node node LEFT JOIN node_kaltura node_kaltura ON node.nid = node_kaltura.nid LEFT JOIN node_revisions node_revisions ON node.vid = node_revisions.vid INNER JOIN users users ON node.uid = users.uid WHERE (node_kaltura.kaltura_media_type in ('1', '6')) AND (node_kaltura.kaltura_video_comment in ('0')) AND (node.status <> 0) AND ((node_kaltura.kaltura_tags) LIKE ('%%')) AND (node.created <= 1397771728-300) GROUP BY nid ORDER BY node_created DESC LIMIT 0, 6 in /var/www/www.fnno.com/htdocs/modules/views/includes/view.inc on line 771.
  • user warning: Got error 28 from storage engine query: SELECT COUNT(*) FROM (SELECT DISTINCT(node.nid) AS nid, node_kaltura.kaltura_thumbnail_url AS node_kaltura_kaltura_thumbnail_url, node.created AS node_created, node.title AS node_title, node_revisions.body AS node_revisions_body, node_revisions.format AS node_revisions_format, node_kaltura.kaltura_duration AS node_kaltura_kaltura_duration, node_kaltura.kaltura_entryId AS node_kaltura_kaltura_entryId, node_revisions.timestamp AS node_revisions_timestamp, node_kaltura.kaltura_tags AS node_kaltura_kaltura_tags, node_kaltura.kaltura_admin_tags AS node_kaltura_kaltura_admin_tags, users.uid AS users_uid, users.name AS users_name, node.sticky AS node_sticky FROM node node LEFT JOIN node_kaltura node_kaltura ON node.nid = node_kaltura.nid LEFT JOIN node_revisions node_revisions ON node.vid = node_revisions.vid INNER JOIN users users ON node.uid = users.uid WHERE (node.type in ('kaltura_entry', 'kaltura_mix')) AND (node.status <> 0) AND (node_kaltura.kaltura_media_type in ('1', '6')) AND (node_kaltura.kaltura_video_comment in ('0')) AND ((node_kaltura.kaltura_tags) LIKE ('%%')) AND (node.created <= -300) GROUP BY nid ORDER BY node_created DESC, node_sticky DESC ) count_alias in /var/www/www.fnno.com/htdocs/modules/views/includes/view.inc on line 745.
  • user warning: Got error 28 from storage engine query: SELECT DISTINCT(node.nid) AS nid, node_kaltura.kaltura_thumbnail_url AS node_kaltura_kaltura_thumbnail_url, node.created AS node_created, node.title AS node_title, node_revisions.body AS node_revisions_body, node_revisions.format AS node_revisions_format, node_kaltura.kaltura_duration AS node_kaltura_kaltura_duration, node_kaltura.kaltura_entryId AS node_kaltura_kaltura_entryId, node_revisions.timestamp AS node_revisions_timestamp, node_kaltura.kaltura_tags AS node_kaltura_kaltura_tags, node_kaltura.kaltura_admin_tags AS node_kaltura_kaltura_admin_tags, users.uid AS users_uid, users.name AS users_name, node.sticky AS node_sticky FROM node node LEFT JOIN node_kaltura node_kaltura ON node.nid = node_kaltura.nid LEFT JOIN node_revisions node_revisions ON node.vid = node_revisions.vid INNER JOIN users users ON node.uid = users.uid WHERE (node.type in ('kaltura_entry', 'kaltura_mix')) AND (node.status <> 0) AND (node_kaltura.kaltura_media_type in ('1', '6')) AND (node_kaltura.kaltura_video_comment in ('0')) AND ((node_kaltura.kaltura_tags) LIKE ('%%')) AND (node.created <= -300) GROUP BY nid ORDER BY node_created DESC, node_sticky DESC LIMIT 0, 10 in /var/www/www.fnno.com/htdocs/modules/views/includes/view.inc on line 771.
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Top 3 Companies in the Publishing Industry With the Highest Beta (NYT, JRN, MEG)

Published on Thu, 07/11/2013 - 11:05
By Adrienne Chilton

Below are the three companies in the Publishing industry with the highest betas. Higher-beta stocks mean greater volatility and are therefore generally considered to be riskier but also may provide the potential for higher returns.

The New York Times (NYSE:NYT) is highest with a beta of 1.5. The New York Times Company, a diversified media company, conducts operations in newspapers, magazines, television and radio stations, and electronic information and publishing. The Company's publications include The New York Times, The Boston Globe, and the International Herald Tribune.. New York Times also holds interests in a newsprint mill and a paper mill.

In the past 52 weeks, shares of The New York Times have traded between a low of $6.93 and a high of $12.72 and are now at $12.62, which is 82% above that low price. Over the past week, the 200-day moving average (MA) has gone up 0.5% while the 50-day MA has advanced 2.0%.

Journal Communications (NYSE:JRN) is next with a beta of 1.5.

Finishing up the top three is Media General (NYSE:MEG), with a beta of 1.3.

By Adrienne Chilton
achilton@fnno.com