I think we can assume that since a rule restricting only 'naked short selling' reduced the shorting by 90 %, that most of the shorting in these issues was illegal. that, and the fact some of this stuff has gone up 50%.
AUSTIN, TX, Jul 23, 2008 (MARKET WIRE via COMTEX) ----According to
market statistics analyzed by S3 Matching Technologies, the SEC's
emergency order to enhance investor protections against "naked"
short selling in 17 financial institution securities has reduced short
sells by about 70 percent for the targeted symbols, and 90 percent of
short selling of Fannie Mae and Freddie Mac securities.
S3, which processes trades for the country's largest brokerages,
compared short sells of Monday, July 14, prior to the SEC order, and
Monday, July 21, the first day the emergency rule was implemented.
"Looking at the data from our clients," said Jack Holt, CEO of S3
Matching Technologies, "it seems clear the market responded to what
regulators wanted. Short sells, 'naked' or not, have accounted for a
little over 1 percent of our clients' total volume. 2/3rds of that short
sell volume disappeared on the first day the rule went into effect. For
Fannie Mae and Freddie Mac, it's more dramatic at 90 percent."
The SEC's emergency rule identified symbols critical to stability of the
financial markets and ordered that the securities be delivered at the
time short sells were settled. According to S3's Holt, analysis of his
company's data shows the emergency rule appears to have all but
eliminated the short selling of Fannie Mae and Freddie Mac securities,
two institutions that many analysts feared were at risk of collapse.
"The short sell slowdown during the first day was very significant
across the targeted symbols," Holt added. "While there is no way for
data to reveal if a short sell is 'naked,' there's no doubt the SEC has
put a rule in place that has drastically reduced short selling,
especially with regards to the Fannie Mae and Freddie Mac mortgage
institutions."
S3 Matching Technologies processes about 15 billion financial
transactions daily and provides business intelligence reports on more
than a million securities trade orders and stock options.
About S3 Matching Technologies (www.S3.com)
S3 is an Austin, Texas-based company focused on providing data quality
management software for the IT, telecom, financial services, and
healthcare industries. S3 invented TeraMatch(R:
67.58, -7.51, -10.00%), an algorithmic matching engine which uses
rules-based scoring based on industry-specific best practices. S3's
software may be deployed as a managed solution.
CONTACT: S3 Matching Technologies James Moore Email Contact
512.300.9232
SOURCE: S3 Matching Technologies
http://www2.marketwire.com/mw/emailprcntct?id=EE0B62B9955E7B77
AUSTIN, TX, Jul 23, 2008 (MARKET WIRE via COMTEX) ----According to
market statistics analyzed by S3 Matching Technologies, the SEC's
emergency order to enhance investor protections against "naked"
short selling in 17 financial institution securities has reduced short
sells by about 70 percent for the targeted symbols, and 90 percent of
short selling of Fannie Mae and Freddie Mac securities.
S3, which processes trades for the country's largest brokerages,
compared short sells of Monday, July 14, prior to the SEC order, and
Monday, July 21, the first day the emergency rule was implemented.
"Looking at the data from our clients," said Jack Holt, CEO of S3
Matching Technologies, "it seems clear the market responded to what
regulators wanted. Short sells, 'naked' or not, have accounted for a
little over 1 percent of our clients' total volume. 2/3rds of that short
sell volume disappeared on the first day the rule went into effect. For
Fannie Mae and Freddie Mac, it's more dramatic at 90 percent."
The SEC's emergency rule identified symbols critical to stability of the
financial markets and ordered that the securities be delivered at the
time short sells were settled. According to S3's Holt, analysis of his
company's data shows the emergency rule appears to have all but
eliminated the short selling of Fannie Mae and Freddie Mac securities,
two institutions that many analysts feared were at risk of collapse.
"The short sell slowdown during the first day was very significant
across the targeted symbols," Holt added. "While there is no way for
data to reveal if a short sell is 'naked,' there's no doubt the SEC has
put a rule in place that has drastically reduced short selling,
especially with regards to the Fannie Mae and Freddie Mac mortgage
institutions."
S3 Matching Technologies processes about 15 billion financial
transactions daily and provides business intelligence reports on more
than a million securities trade orders and stock options.
About S3 Matching Technologies (www.S3.com)
S3 is an Austin, Texas-based company focused on providing data quality
management software for the IT, telecom, financial services, and
healthcare industries. S3 invented TeraMatch(R:
67.58, -7.51, -10.00%), an algorithmic matching engine which uses
rules-based scoring based on industry-specific best practices. S3's
software may be deployed as a managed solution.
CONTACT: S3 Matching Technologies James Moore Email Contact
512.300.9232
SOURCE: S3 Matching Technologies
http://www2.marketwire.com/mw/emailprcntct?id=EE0B62B9955E7B77