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Transcript of 1 To Trade or not to Trade The Strategic Trading Around News Announcements Meziane Lasfer Professor...
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To Trade or not to TradeThe Strategic Trading Around News
Announcements
Meziane LasferProfessor of [email protected]
Web page: http://www.cass.city.ac.uk/faculty/m.a.lasfer/
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Roadmap• Introduction• Definitions of insider trading• Who has access to insider information• Difficulties in identifying insider trading• Reasons for trading by insiders• Insider trading regulation• Can insiders trade strategically?• Empirical evidence of trading around news
announcements• Conclusions
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Introduction• Diploma (1982), MBA (1985) and PhD (1987) from
London School of Economics and University of Bath• Worked in investment bank and water company• Started at Cass in1990• Research in corporate finance, asset management
and corporate governance– Empirical research, publications and consultancy for BP,
FLA, NAPF, ICAEW, Trillium (Goldman Sachs/Land Securities), Donaldson and Morley Asset Management
• Teaching– Cass: MBA, MSc, PhD Corporate Finance and Asset
Management– Executives: Goldman Sachs, KPMG, Thales, Deloitte,
Lloyds-TSB, Bank of China, PT Commicacoes (Portugal), Global Aviation Underwriting Managers , Swedish CFOs …
• Details are in http://www.cass.city.ac.uk/faculty/m.a.lasfer/
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Definitions
• Insider trading is the trading activity before “price sensitive” (material in US) information is announced.
Time
TRADING? News announcement
Issues:
Who could be an insider?
What type of news?
How long is the period before news announcements?
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Who has access to insider information?The case of Mergers and Acquisitions (by order of importance)
Bidder
CEO and CFO meet advisers to discuss strategy options
Meetings with financiers/advisers to negotiate funding of deal
To seek support for the deal
TargetPreliminary talks possibility of takeover; Board meeting CEO, CFO and advisers
First meeting
Financing
Lawyers/advisor to discuss
Large investor meeting
Meeting pension trustees
Others
Responsibilities under takeover code
To explain proposals for pension deficit
PR firms, IT, printers, cleaning staff may have access to (discover) confidential information as the deal nears conclusion.
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How details of a deal can leak?• Discussions overheard in city restaurants/ pubs/wine
bars (tube?)• Junior banker brags about big deal to friends• CEO’s PA leaves confidential information on
photocopier (or at home on a dinning table!!)• “Fat finger” errors on e-mails, letters and faxes• Code names for bidder and target easily deciphered• Staff may leave to another firm in the middle of a deal
negotiations• Insecure IT systems lead to information being
vulnerable to outside hackers• Loss of laptops and Blackberrys containing key data• Sensitive information left out on untidy desks
Source: FSA November 2006
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Why do Insiders Trade
Private Information:– Illegal, unethical, market
inefficiency– But difficulties in enforcing
the legal system because • Typically, several
hundred individuals will be aware of a deal, rising to over a thousand in the case of large deals.
– Thus, many insiders may trade strategically to take advantage of the loopholes.
“We suggested that insider trading may have taken place before about one-third of takeover announcements in 2004”. FSA Market Watch Dec 2006
Other reasons:– Market miss-pricing/inefficiency
• Undervaluation: Buy• Over-valuation: Sell • Mimicry by non-informed
investors• Thus insider trading may
lead to increase in efficiency
– Liquidity• Cash needs• Diversification (don’t put all
your eggs in one basket!)
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UK insider trading regulations (1)
• Outlined in the Model Code of the LSE/FSA• Trading bans
– 60 days before the preliminary annual results – 60 days before the half-yearly results– 30 days before quarterly results– Any periods when there exists ‘any matter which
constitutes inside information in relation to the company’
• ‘Clearance to deal’– Granted by the chairman or designated director– Possibility to get a permission to sell in the ban
periodSee FSA Market Watch June 2008
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Insider trading laws around the world• Battacharyan and Daoud, JF, 2003, find that even
though the laws across different countries in the world are strict, they are not enforced– BUT
• Under Hong Kong’s stock-exchange rules, listed companies need to report results twice a year but can disclose them three months after the end of the period for the half-year report, and four months for the year-end (Vs. US 40 days of a quarter-end and 60 days of a year-end).
• Directors and managers are permitted to trade shares until a month before results are announced, giving them months of proprietary access to information that could be invaluable in knowing whether to buy or sell shares. (Economist Jan 2009)
• SEC disclosed on 6 Feb 2008 that insider-trading charges had been settled by David Li, a man at the centre of almost everything that matters in Hong Kong.
• New legislation in 2009.
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Costs and benefits of trading on information
Benefits: Capitalize on foreknowledge of the information Financial Rewards Increase prestige
Costs: Regulatory scrutiny• Subsequent civil and criminal
penalties under the insider trading laws, • Potential loss of job,• Reduction in future career
prospects • Reputation damage
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Can insiders trade strategically?
• Many studies report abnormal returns earned by insiders on trades in their companies’ shares– Early seminal contributions by Jaffe (1974),
Finnerty (1976) and Seyhun (1986)– Wide later evidence from different countries
• Such evidence is related to trading on private information– Superior knowledge about the firm’s prospects
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Insider trading before corporate events (1)
• Long run – Yes– Corporate sell-offs (Hirschey and Zaima 1989)– Takeover bids (Seyhun 1990b)– Dividend initiations (John and Lang 1991)– Seasoned equity offerings (Karpoff and Lee 1991)– Stock repurchases (Lee et al. 1992)– Bankruptcies (Seyhun and Bradley 1997)– Earnings downturns (Ke et al. 2003)
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Insider trading before corporate events (2)
• Short run – No/Little– Earnings downturns (Ke et al. 2003)– Earnings announcements (Huddart et al. 2006) – Management earnings forecasts (Noe 1999)– Non-earnings announcements (Givoly and
Palmon 1985)– The impact of regulations?
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Source: Korczak, A., Korczak, P. and Lasfer, M., 2009, To Trade or not to Trade: The Strategic Trading Around
News Announcements, Journal of Business Finance and Accounting (forthcoming)
Empirical Findings
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Research question
• When do insiders trade?– A universe of corporate news announcements– Trading vs. No trading– Decision to trade before good vs. bad news– Decision conditional on the information content of
the disclosure (proxied by stock price reaction)• Hypothesis: strategic decision to trade driven
by a trade-off– Incentive to capitalise on private information– Disincentive – regulatory scrutiny– Hence non-linear relation
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Hypothesis – illustration
Abs value of the market reaction (CAR)
Probabilityof trading
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Data• All regulatory news releases by FTSE All Share
firms published in the RNS between 01/1999 and 12/2002 (retrieved from Perfect Information)
• Hand-coded into 2 and 8 categories– Banned – Earnings announcements with bans– Not Banned – Other Results & Dividends, Capital
Structure, Restructuring, Ownership, Board Changes, General Business Info, Miscellaneous
• Total 119,179 announcements, 78,251 with a unique company-date
• Open-market directors’ trades in the sample period (obtained from Directors Deals Ltd)
• Total 8,086 trades• Stock market data from Datastream
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Methodology (1)
• Good/bad news– Non-negative/negative CAR(0,1)– CARs market model adjusted– Estimation window: 260 trading days ending 30
calendar days before the disclosure– FTSE All Share index as proxy for market
portfolio• Total 39,617 good news, 38,634 bad news
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Methodology (2)
• Net insider trading in the firm’s shares before each news announcement– Total no. of shares purchased less sold– 30 calendar days– News Preceded by Insider Trading
• If the direction of trading consistent with the content of the news
– News without Insider Trading• Otherwise
• Total 10.31% of good news, 16.09% of bad news preceded by insider trading
2020
Good news
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
All
Earnin
gs
Other
Res
ults &
Div
Capita
l Stru
cture
Restru
ctur
ing
Owners
hip
Board
Cha
nges
Gener
al B
usine
ss In
fo
Misc
ellan
eous
Mea
n C
AR
0.0%
3.0%
6.0%
9.0%
12.0%
15.0%
18.0%
% P
rece
ded
by
Insi
der
Tra
din
g
Mean CAR % Preceded by Insider Trading
2121
Good news
0.0%1.0%2.0%3.0%4.0%5.0%6.0%7.0%
Mea
n C
AR
Preceded by Insider Trading Without Insider Trading
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Logit results – Good news
Coeff Std error Coeff Std error Constant -3.028*** (0.149) -3.023*** (0.054) Size 0.147*** (0.024) 0.146*** (0.008) Market-to-Book -0.006 (0.004) -0.006 (0.001) Past Return -0.628*** (0.114) -0.622*** (0.047) |CAR| News 0.206 (0.642) CAR2 News -1.045 (1.106) |CAR| Banned -25.525*** (3.418) CAR2 Banned 28.280*** (5.437) |CAR| Not Banned 1.070 (0.556) CAR2 Not Banned -2.218 (1.483) N 36,617 36,617 Pseudo R2 0.021 0.038
Prob(Trading=1) = logit(α1 + β1Size + β2Market-to-Book + β3Buy-and-Hold 120
pre + β4Multiple News + β5 |CAR| + β6 CAR2 + ε)
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Logit results – Bad news
Coeff Std error Coeff Std error Constant -4.509*** (0.215) -4.482*** (0.217) Size 0.190*** (0.034) 0.188*** (0.034) Market-to-Book 0.008* (0.003) 0.008*** (0.003) Past Return 0.245*** (0.053) 0.239*** (0.054) |CAR| News -5.277*** (1.302) CAR2 News 2.001*** (0.544) |CAR| Banned -155.381*** (54.228) CAR2 Banned 91.515*** (33.268) |CAR| Not Banned -4.366*** (1.274) CAR2 Not Banned 1.597*** (0.592) N 38,634 38,634 Pseudo R2 0.031 0.037
Prob(Trading=1) = logit(α1 + β1Size + β2Market-to-Book + β3Buy-and-Hold 120
pre + β4Multiple News + β5 |CAR| + β6 CAR2 + ε)
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Logit results – Specific news categories
Significant coefficients (p-value < 0.10)
Good news Bad news |CAR| CAR2 |CAR| CAR2 Earnings - + - + Other Results & Div - + - Capital Structure + - Restructuring - + Ownership + - Board Changes + - General Business Info - + Miscellaneous - +
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Summary
• More insider trading before good than before bad news
• Trading is concentrated before less price sensitive releases
• Probability of trading before bad news decreases with the information content of news releases
• Other results:– Amount of trading before good news increases with the
information content of the news, but is reduced when the news is extreme
• Next work:– Expand data to cover new rules by FSA– Trading in options (data problem?)– International evidence to assess effectiveness of legal
settings.
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