This is a sidepiece to our article on the
new Listing Committee members today.
The HKICS blackout study
8th June 2009
If you are not complete bored by the insider dealing blackout saga, then you may
have read lovable local curmudgeon Jake van der Kamp ranting in
a local newspaper a month ago that the Listing Committee (LC) had got it all wrong, that 94.6% of the
respondents to an opinion poll on this
site were also wrong, and that the information possessed by insiders ahead of
results announcements (but after the year has ended) is of no advantage at all
in their dealing decisions. He based these comments on a flawed
study commissioned by the
Hong Kong Institute of Chartered Secretaries (HKICS). What he didn't mention is that
HKICS commissioned this study after having put
their name in that famous tycoon-backed newspaper advertisement opposing the
blackout extension in the first place.
The HKICS President is currently
Natalia Seng Sze Ka Mee, who is executive director of
Tricor Group, a subsidiary of The
Bank of East Asia Co Ltd, the Chief Executive of which,
David Li Kwok-Po, was a
vocal critic of the blackout extension - and he should know a thing or two
about insider dealing after buying his way out of SEC charges in the Dow Jones
case. A Vice-President of HKICS is
April Chan Yiu Wai Yee, Company Secretary of CLP Holdings Ltd, which also
opposed the extended blackout. Another director of Tricor,
Diana Chung Miu Yin, sits on the
HKICS Council, as does Edith Shih,
Company Secretary of Hutchison Whampoa Ltd,
Polly Wong Oi Yee, Company
Secretary of Dynamic Holdings Ltd, and
Seaman Kwok Siu Man, Company Secretary of S E A Holdings Ltd, and
Richard Leung Wai Keung, INED of
Asia Standard Hotel Group Ltd and Asia Standard International Group Ltd. so we
count at least 7 Council members (out of 13) whose employers or companies openly opposed the
blackout extension.
The study did not adjust for the size of
transactions (you would think bets would be larger when the information
advantage is higher), nor
did it eliminate noise such as rights issue entitlements, open offer
entitlements and bonus issues, all
of which result in an involuntary increase in a director's nominal share interests without an
active purchase. It is not even clear whether the study adjusted for dividends
and other non-cash distributions, which add to returns.
The returns were also calculated relative to the Hang Seng Index, which is
not necessarily the most reliable benchmark, particularly for the vast majority
of companies (by number) which are not in it, handy though it is. It only
covers about 69% of the market value. The choice of benchmark is important
in market-adjusted performance studies, because if it is not in line with the
average performance of all stocks in the survey then it can give skewed results.
The study examined post-results returns from day 1 to day 14 after the
results announcement (it did not say whether this was trading days or calendar
days) - but for companies which announce during the lunchtime halt, they should
have been including day zero, when the information hits the price in the
afternoon session. It may also be the case that positive earnings surprises are
more likely to be released at lunchtime, to get the best media coverage, whereas
negative earnings shocks are more likely to be released at night, avoiding
publicity. So a safer study would have measured the returns from dealing date
(i.e. at least 1 month before results) until 14 days after the results.
Furthermore, the study adopted an aggressive statistical significance level
of 0.1%. That means that a finding was only considered significant if it could
happen by pure chance only 1 in 1000 times. By analogy, the study would only
consider a tossed coin to be biased if it came up with 21 heads or tails in a
row (a 1 in 1024 probability) whereas most studies would look at the 5% (1 in
20, or more than 5 heads/tails in a row) or 1% (1 in 100, or more than 7
heads/tails in a row) levels. We assuming they are talking about
two-tailed
significance levels, but the study doesn't say.
Anyway, despite the deficiencies, the study showed that
directors who sell shares before results announcements out-perform the market,
and more so (by an average 7.8%) if they do it 3-4 months before the results
announcement, before the rest of the market can get wind of the bad news. They
also out-perform by selling after results announcements (before the next
period-end), but not by as much, in our view because their inside information
advantage is smaller. The study found no significant advantage for purchases,
but that is probably because of the deficiencies in the methodology outlined
above.
From any common sense perspective, information can never have negative value,
and the greater the information advantage you have, the more likely you are to
make money if you deal on it. It doesn't take a study for investors to know
that.
The study's author
The study was conducted by Professor
Chan Ka Lok of HKUST Business School. He also endorsed the methodology in a
study of 5-year MPF returns from Apr-2001 to Mar-2006, which conveniently
focused on dollar-weighted returns, which weren't as bad as the actual fund
performance on a price basis, because the tech bubble was still deflating in the
first 2 years of the study when the MPF had just started, and then the market
rallied sharply from the SARS/ gulf war lows of 2003 when there was more money
accumulated in the MPF system (it only started in Dec-2000).
That piece of MPFA propaganda, largely designed to deflect attention from
criticisms of total expense ratios, also
contained howlers such as "the annualized dollar-weighted return...was
calculated by multiplying monthly IRR by 12". Will someone please explain
compounding to this man, who incidentally, is the brother of Secretary for
Financial Services and the Treasury Bureau,
Ceajer Chan Ka Keung (aka K C
Chan). The FSTB was of course heavily involved in lobbying the Stock Exchange
and its Listing Committee to undo its extended blackout rule. Ceajer would enjoy
reading his brother's report.
Copyright Webb-site.com, 2009
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