Berkeley Group reported a resilient level of house sales in the past four months and was confident enough about the "compelling" fundamentals of the London and South East housing market to maintain profit and dividend guidance.
London stocks resumed their indecisive shift sideway as the week drew to a close, 10 years to the day that JP Morgan originally agreed to buy the stricken Bear Stearns. After almost half an hour of trading on Friday, the FTSE 100 was down four points but ten minutes later was up by four at 7,143.50. Asian markets were in the red after a mixed Wall Street session, where the Dow Jones, like the Footise before it, ended a three-day losing streak but the S&P 500 and Nasdaq closed lower.
1024 : Following recent snow, UK retail store like-for-like sales "roared back to life" last week, finds the BDO high street sales tracker. In-store sales were up 8.22%, which "will be very encouraging to retailers as they continue on the run in to Easter". 1016: Housebuilders remain a weight on the FTSE 350 after Berkeley's unscheduled trading statement earlier, but share price losses are being pared.
expect average daily net debt to be down £50m year-on-year and we continue to reduce reliance on period-end invoice discounting... expect period end net debt to be £50-£70m higher than last year... expect to continue to "comfortably operate within" banking covenants.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".