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ReviewofAccounting
and Finance
The 1987 market crash: 20 years
later
Guest Editors: G. Glenn Baigent and
Vincent G. Massaro
Volume 8 Number 2 2009
ISSN 1475-7702
www.emeraldinsight.com
raf cover (i).qxd 12/05/2009 08:47 Page 1
Access this journal online _______________________________ 119
Editorial advisory board _________________________________ 120
Introduction: the 1987 market crash:
20 years later _____________________________________
121
What caused the 1987 stock market crash and
lessons for the 2008 crash
Ryan McKeon and Jeffry Netter____________________________________ 123
Has the 1987 crash changed the psyche
of the stock market? The evidence from
initial public offerings
James Ang and Carol Boyer_______________________________________ 138
Capital market developments in the
post-October 1987 period:
a Canadian perspective
Laurence Booth and Sean Cleary___________________________________ 155
Review ofAccounting and
Finance
The 1987 market crash: 20 years later
Guest Editors
G. Glenn Baigent and Vincent G. Massaro
ISSN 1475-7702
Volume 8
Number 2
2009
CONTENTS
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Revisiting derivative securities and the 1987 market
crash: lessons for 2009
G. Glenn Baigent and Vincent G. Massaro ___________________________ 176
Fraudulent financial reporting, corporate governance
and ethics: 1987-2007
Lawrence P. Kalbers _____________________________________________ 187
CONTENTS
continued
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www.emeraldinsight.com/raf.htm
RAF
8,2
120
Review ofAccountingand Finance
Vol. 8 No. 2, 2009
p. 120
# EmeraldGroup Publishing Limited
1475-7702
EDITORIAL ADVISORY BOARD
Ali Abdolmohammadi
Bentley College, USA
Pervaiz Alam
Kent State University, USA
Sharad Asthana
University of Texas at San Antonio, USA
Tim Cairney
Georgia Southern University, USA
Hsihui Chang
Drexel University, USA
Rong-Ruey Duh
National Taiwan University, Taiwan
Mahmud Ezzamel
Cardiff University, UK
Ehsan Feroz
University of Washington, Tacoma, USA
Liming Guan
University of Hawaii at Manoa, USA
Mahendra Gujarathi
Bentley College, USA
William Hopwood
Florida Atlantic University, USA
Marion Hutchinson
Queensland University of Technology, Australia
George Iatridis
University of Thessaly, Greece
Hoje Jo
Santa Clara University, USA
Laurie Krigman
Babson College, USA
Krishna Kumar
George Washington University, USA
Marc LeClere
Valparaiso University, USA
Joseph McCarthy
Bryant University, USA
Gordian Ndubizu
Drexel University, USA
Hector Perera
Macquarie University, Australia
Alan Reinstein
Wayne State University, USA
Herve
´
Stolowy
Group HEC (Hautes Etudes Com), France
Nikhil Varaiya
San Diego State University, USA
Huai Zhang
Nanyang Technological University, Singapore
Introduction
121
Review ofAccountingand Finance
Vol. 8 No. 2, 2009
pp. 121-122
# Emerald Group Publishing Limited
1475-7702
Introduction: the 1987 market
crash: 20 years later
Society relies on well-functioning capital markets to promote economic progress in
businesses and households. To that goal, academics argue that capital markets should
provide for price discovery and liquidity, where the best way to find out what an asset
is worth is to attempt to sell it. As long as there are a large number of market
participants, bidding among them leads to price discovery, and an asset is sold quickly
resulting in liquidity. Moreover, in a well functioning market the price should be close to
its intrinsic va lue. Bu t academic assumptions aside, is it not the case t hat i nstitutional
and private investors have the same expectations of our secondary markets?
For both institutional and private investors, capital markets are the domicile of our
wealth. Capital markets reflect the performance of individual firms and the investment
choices they make on behalf of shareholders. Markets reflect the value of retirement
accounts such as 401 ks, 403 bs, or RRSPs in Canada. On a macro scale, capital markets
are an indicator of the ex pectations of future earnings. The well-being of capital
markets is of critical importance to all, even the US Treasury Department and Social
Security.
Having turned the generational clock in 2007, it seemed appropriate to revisit the
events of 1987. The literature seemed to be mixed as to the cause of the 1987 crash, new
streams of literature such as behavi oral finance have evolved, and many structural
changes have occurred. Ironically, while all of the article reviews for this issue were in
progress, the factors which cause market crashes or corrections became more
important because we were witnessing a capital markets crisis in 2008. In most cases
the authors had the difficulty of drawing their analyses to a close because each day
there was more to add to the literature . But here we are, and we must conclude. There is
a confl uence to the articles in this edition – each in some way speaks to the issue of
efficient capital markets.
McKeon and Netter have provided an extension to earlier work by Mitchell and
Netter (1989). The current research reinforces the view (espoused in the 1989 paper)
that relevant news caused the market crash in 1987, but they find that significant
changes in market movements and volatility are associated with the market correction
in 2008.
The ‘‘something is different now’’ theme is continued by Booth and Cleary. They
report that significant structural changes have occurred in the Canadian economy
since 1987. Their analysis documents macroeconomic changes and speaks to the
impact of fiscal policy and monetary policy on the resilience of the Canadian economy,
which they describe as more resilient today than in 1987.
Ang and Boyer examine an issue that was critical in 1987 – IPOs. They show that
the 1987 market crash changed the psyche of the IPO market as evidenced by fewer
IPOs from riskier firms. Following the crash, they find more rational pricin g in the
context of smaller discounts and smaller mean reversion. Clearly, this speaks to a
behavioral component in asset prices. Let’s hope that the current crisis leads to more
rational pricing.
The behavior of investors is continued by Baigent and Massaro who suggest that
the existence of portfolio insurance can create more aggressive trading and a moral
RAF
8,2
122
hazard problem. Lending relevance to the 2008 crisis, the notional value of derivative
securities has increased from $1T in 1987 to $542T, about 37 times the GDP of the USA
The findings suggest that researchers re-examine the role of derivative securities,
especially since there seems to be a symbiotic relationship between derivative and
asset prices instead of one being causal.
Lastly, there have been significant regulatory changes in the capital markets since
1987 as documented by Kalbers. To the point, regulatio ns are intended to provide for
more accurate accounting informati on, but Kalbers opines that regulation occurs after
the damage has occurred.
In the mid 1960s Eugene Fama formulated the efficient market hypothesis in which
markets reflect all relevant information. The problem seems to be the information, not
the markets.
G. Glenn Baigent and Vincent G. Massaro
Guest Editors
What caused the
1987 stock
market crash
123
Review ofAccountingand Finance
Vol. 8 No. 2, 2009
pp. 123-137
# Emerald Group Publishing Limited
1475-7702
DOI 10.1108/14757700910959475
What caused the 1987 stock
market crash and lessons for the
2008 crash
Ryan McKeon
School of Business Administration, University of San Diego, San Diego,
California, USA, and
Jeffry Netter
Terry College of Business, University of Georgia, Athens, Georgia, USA
Abstract
Purpose À The purpose of this paper is to review an explanation for the causes of the stock market
crash in 1987, update the empirical support for that argument, and compare to recent market
developments.
Design/methodology/approach À While the market crash on October 19, 1987 was the largest
one-day S&P 500 drop in percentage terms in history (20.47 percent) there was also a large market
drop (10.12 percent) in the three trading days before the 1987 crash. Previous research has shown
show that the three-day decline was the largest in more than 40 years, large enough that the drop was
news itself (the October 16, 1987 drop immediately before the crash was also an extremely large one-
day decline). The theoretical model of Jacklin et al. show how a surprise significant drop in the
market could have provided infor mation to the market that could directly lead to an immediate crash.
Findings À The paper follows the stock market for 20 years after 1987, and finds the magnitude of
the market decline immediately preceding October 19, 1987 was still a significant outlier À only one
three-day period in the 20 years after 1987 had as large a market dec line. The paper documents the
large market movements and volatility in the period beginning in fall 2008 and suggests that this
‘‘crash’’ is different than what occurred in 1987.
Research limitations/implications À This paper’s main limitations lie in the implications drawn
about the causes of the 2008 crash.
Practical implications À This paper provides evidence on the causes of the 1987 crash and
implications for the 2008 decline. The 1987 crash was due in part to characteristics news but also to the
market and trading strategy, the 2008 ‘‘crash’’ is more likely a response to fundamental economic news.
Originality/value À This paper uses empirical evidence since 1987 to look back on the causes of the
1987 crash.
Keywords Stock markets, Stock prices, Take-overs, Regulation, Financial modelling,
United States of America
Paper type Research paper
The cover story from the Newsweek (1987) issue that was released the weekend directly before
the October 19, 1987 crash was titled ‘‘Is the party over?’’ The second paragraph of the article
starts, ‘‘The cascading Dow and record trading volume marked a major shift in psychology
and sent a powerful shiver across the country’’ (Dentzer, et al., 1987).
1. Introduction
On Monday October 19, 1987, the US equity market suffered its largest single-day
percentage decline in history. The S&P 500 index fell by 57.86 points, a decline of 20.46
The current issue and full text archive of this journal is available at
www.emeraldinsight.com/1475-7702.htm
The authors would like to thank Glenn Baigent, Annette Poulsen, Janis Zaima, and a referee for
helpful comments and suggestions on the paper.
RAF
8,2
124
percent. The Dow Jones Industrial average suffered a similar decline, falling by 508
points, 22.6 percen t of its value. The NASDAQ fell by 46 points, 11.35 percent of its
value (although many of the dealers stopped trading early, limiting the reported
decline). An important, but often forgotten, factor in this decline was the 10.12 percent
decline in the S&P 500 in the three trading days prior to October 19[1].
Mitchell and Netter (1989) argue that this three-day decline was an important
contributing factor to the crash À in fact, they describe the decline as a ‘‘trigger’’. In this
paper, we review this argument, provide simple descriptive evidence supporting the
argument and suggest how October 1987 is different from the market decline in late 2008.
We report data that the drop in the stock market immediately preceding the October 19,
1987 crash that others have shown was very large in historical terms remains one of the
largest declines over the next 20 years. Additionally, we document the unprecedented
level of volatility since August 2008 and show how it is different from 1987.
The October 19, 2007 market crash of mo re than 20 percent did not seem to be
related to any fundamental news. However, Mitc hell and Netter (1989) argue that the
three-day decline preceding the crash was a large enough dec line that it became the
fundamental news and that shook the market. The theoretical model of Jacklin et al.
(1992) (among others) shows how a surprise significant drop in the market could have
provided information to the market that would directly lead to a crash. In this paper, we
present evidence that even 20 years later, the magnitude of the market decline
immediately preceding the 1987 is still a significant outlier À only one three-day
period in the 20 years after 1987 had as large a market drop.
Jacklin et al.’s model suggests that the sharp market decline preceding the 1987
crash revealed the effects of new investment strategies by investors that had not been
fully anticipated by the market (they build on Grossman’s (1988) model of the effects of
imperfect information about por tfolio insurance). This revelation to investors of the
extent of dynamic hedging caused investors to dramatically revise downward their
stock valuations. Other explanations of the 1987 crash include liquidity problems (the
Presidential Task Force on Market Mechanisms (1988) À The Brady Report) in trading
when volume increased tremendously (perhaps as the result of portfolio insurance
trading), or changed investor psychology or some com bination of all the theories.
However, each of the theories is consistent with the effects of a large downward market
movement directly preceding the crash that was significant and unexpected, triggering
the October 19 crash.
The paper proceeds as follows. In section 2, we examine possible reasons for the
1987 crash, providing a general discussion on what causes large market movements,
and reviewing the Mitchell and Netter work on the 1987 crash. In section 3, we examin e
trading volumeand market volatility since the 1987 crash, including the extraordinary
market events of the fall of 2008. We conclude in section 4.
2. Explanations for the October 1987 crash
There are at least three general views of the causes of the stock market crash on
October 19, 1987. The views are not mutually exclusive. One is the efficient market
story À the market reacted to some fundamental news that led market participants to
revalue stocks down by more than 20 percent in one day. A second is a liquidity
story À for some reason, probably a large number of sell orders, liquidity declined
significantly, de pressing prices. A third is some variant of a behavioral finance
story À investor s acting irrationally either drive prices up too high, followed by a
significant fall, or panic and sell for some reason, significantly depressing prices.
What caused the
1987 stock
market crash
125
2.1. Explanations of large market-wide stock-price movements
Cutler et al. (1989) analyze the question of what fundamentally causes lar ge s tock price
movements in a paper that followed s oon after the 1987 crash. Their general conclusion is
that we are not very good at explaining large stock price movements, questioning the
‘‘ efficiency’’ of the mar ket. They first consider the impact of macroeconomic news on the
stock market. The paper examines the relation of macroeconomic fundamentals as
dividend payments, industrial pr oduction, r eal money supply, long and short-term interest
rates, inflation and stock market volatility. They conclude that these macroeconomic
varia bles are not statistically meaningful in explaining stock market returns.
Cutler et al. also conduct a less formal analysis of the impact of ‘‘big news’’ on the
stock market. Using the World Almanac as a source of significant news stories, the paper
narrows its selection of ‘‘big news’’ to those stories which were featured on the front page
of the New York Times or were the lead story in the business section of the paper. Few if
any of the stock market returns on these days are comparable to the returns seen in
October 1987. The paper then reverses the analysis, examining the largest single-day
movements of the S&P 500 index and examining the New York Times for an explanation
of the event. The explanation they find for the October 19, 1987 crash is ‘‘Worry over
dollar decline and trade deficit; Fear of US not supporting the dollar’’.
Cutler et al. conclude that it is difficult to explain large price movements even after
the fact. An interpretation of their results is that if one cannot explain market
movements after the fact, when news has been revealed, and markets do not move
much in response to large news stories, it is difficult to argue that fundamentals drive
markets, at least in the time of extreme movements.
Haugen et al. (1991) perform a similar analysis, but focus on stock market volatility
rather than returns. The authors document the largest single day shifts in stock market
volatility and search for contributing explanations. When the authors are able to match
large increases in volatility with a well-documented event, the event tends to be an act
of warfare, a natural disaster or an assassination. The paper also notes that large
decreases in volatility can generally be matched to political enactments or
proclamations. This latter finding suggests a possible role for regulatory entities in
‘‘calming’’ markets during volatile times.
2.2. The cause of the market decline October 14-16, 1987
Mitchell and Netter (1989) provide a case study of one market movement in contrast to
the more general but less detailed analysis of Cutler et al. Mitchell and Netter provide
both cross-sectional and time series evidence supporting their hypothesis that the very
large October 14-16, 1987 market decline was due to an unexpected proposal in the
House Ways and Means Committee to end the tax deductibility of debt used in
takeovers. Noting that the October 14-16, 1987 period represented the largest one-, two-
and three-day declines (–5.16, À8.11 and À10.44 p ercent, respectively) since the French
army’s defensive position was unexpectedly com promised in May 1941, in WW II, the
paper examines the possible causes of this decline. The paper concludes that the
market reacted negatively to news that a bill ending the interest deductibility of debt in
takeovers was unexpectedly proposed by the US House Ways and Means Committee
and was likely to pass. Therefore, it was the prospect of this bill being signed into law
that may have caused the market decline of October 14-16, 1987, which then led to the
subsequent more drastic decline on Monday October 19.
On the night of October 13, 1987 the House Ways and Means Committee introduced
a tax bill that had several provisions designed to restrict takeovers, especially ending
[...]... of the increase, 45 Year 1 982 1 983 1 984 1 985 1 986 1 987 Before crash 1 987 Post crash 1 988 1 989 1990 1991 1992 Average 1 982 to 10 October 1 987 Average 20 October 1 987 to 1992 t-test Gross spread as % price Reallowance fee as % of principal Underwriting Fee as % of principal Overallot amt sold as % of amount 8. 72 8. 16 8. 59 8. 29 7. 98 8.02 8. 47 7.91 8. 10 7.77 7.40 7.24 8. 29 7 .81 0 .84 2.30 1.74 1 .87 1. 68. .. psyche of the stock market 139 RAF 8, 2 140 Table I Aggregate IPOs in number of issues and the sum and average principal amount Year 1 982 1 983 1 984 1 985 1 986 1 987 1 988 1 989 1990 1991 1992 1 January 1 987 to 19 October 1 987 19 October 1 987 to 31 December 1 987 Number of IPOs 1 18 673 343 322 7 08 531 2 68 240 207 387 561 5 08 22 Principal amount Sum of all Average of markets ($ mil) all mkts ($ mil) 1,215 .8 12,071.7... October 1 987 to 1992 t-test Offer price $10. 68 $20.75 $8. 91 $10.77 $11.02 $10.75 $8. 33 $10. 28 $12.15 $11.04 $11.93 $12 .83 $12.15 $11.09 1.53 Issue priced relative to filing range Above (%) Within (%) Below (%) 13.27 11. 08 1.17 4.67 3.12 4.76 0.00 2.72 5. 58 8.008. 81 8. 39 6.35 4.03 2.17* 60. 18 66.77 69.01 79.13 82 .15 77. 58 95.45 82 .88 89 .27 82 .50 81 .61 78. 57 72.47 84 .97 1. 68* 26.55 22.15 29 .82 16.20... 1-October- 98 19-September-02 August, 120 08- November 30, 20 08 15-October- 08 29-September- 08 9-October- 08 20-November- 08 19-November- 08 22-October- 08 7-October- 08 5-November- 08 12-November- 08 6-November- 08 17-September- 08 15-September- 08 14-November- 08 2-October- 08 6-October- 08 22-September- 08 24-October- 08Volume One-day return (%) 693,729, 984 917,500,032 197,300,000 251,170,000 1,279,699,9 68 2,330 ,83 0, 080 ... 27-October-97 À6 .87 8- January -88 À6.77 28- May-62 À6. 68 26-September-55 À6.62 13-October -89 À6.12 14-April-00 À5 .83 26-June-50 À5. 38 16-October -87 À5.16 17-September-01 À4.92 11-September -86 À4 .81 14-April -88 À4.36 12-March-01 À4.32 30-November -87 À4. 18 3-September-02 À4.15 August 1, 20 08- November 30, 20 08 15-October- 08 À9.04 29-September- 088. 79 9-October- 08 À7.62 31-August- 98 À6 .80 20-November- 08 À6.71 19-November- 08. .. 2,330 ,83 0, 080 211 ,81 0,000 1,2 28, 999,936 1, 289 ,799,936 9 38, 600,000 2,654,099,9 68 1,009,000,000 239,690,000 85 2,600,000 1,292,999,936 4,065,230,000 1, 386 ,099,9 68 1,425,500,032 1 ,81 6 ,89 9,9 68 2,2 48, 059,904 1,507,299,9 68 4,315,740,000 1,421,600,000 2,004 ,80 0,000 4,771,660,000 546,550,016 80 0,099,9 68 1,042,300,032 240,400,000 89 9,699,9 68 1,524,000,000 À6 .86 57 À6 .80 14 À6.7 683 À6.1172 À5 .82 78 À4.9216 À4.3560 À4.3 181 À4.1536... 197.2 4 38. 8 106.9 602.7 495.5 491.1 203.9 225.5 235.7 1613 140.9 734.4 141.1 753.7 1 986 22 30 40 33 63 90 78 73 52 81 67 79 460.9 440.2 1119 1447 2612 2 482 1 685 2215 1051 3054 3720 1722 Average 1 982 -1 986 1 987 Seasonally Adjusted 1 987 21 23 29 22 36 41 43 43 31 46 45 53 28 57 55 42 52 69 63 57 59 32 7 9 1.31 2.44 1 .88 1 .89 1.46 1.70 1.47 1.34 1 .88 0.70 0.16 0.17 2 68 309 670 527 86 3 89 5 733 906 5 58 1 289 1132... (1990-1992) t-test pre and post crash Pre1 987 Crash Post crash (1 987 -1 989 ) Post crash (1990-1992) Pre 1 987 crash Post crash (1 987 -1 989 ) Post crash (1990-1992) Pre 1 987 crash Post crash (1 987 -1 989 ) Post Crash (1990-1992) Pre 1 987 crash Post crash (1 987 -1 989 ) Post crash (1990-1992) 197.65 182 .82 122.53 0.0179 18. 60 34.70 26.95 276.61 327.61 469.01 11 .89 6.71 15.55 203.16 61.90 287 .80 3. 38 5.13 4. 38 0.01245 0.90... similarly 6 .88 percent and 5 .80 percent in 1 984 During the period 1 985 -1 987 , the percent of overallotment sold increased to 10.30 percent in 1 985 , 11. 68 percent in 1 986 and 9. 48 percent in 1 987 Within 1 987 prior to the crash, the overallotment sold was 9. 58 percent, but dropped to 6.97 percent after the crash In the years following, the number declines to 8. 66 percent in 1 988 , 7.01 percent in 1 989 and 6.22... fell to $8. 33 after the crash indicating that stock market prices as a whole fell and that the market was not willing to pay high prices for IPOs, however, the offer price is based on the number of shares offered In 1 988 , the average price was at a similar level to 1 987 at Year 1 982 1 983 1 984 1 985 1 986 1 987 Before crash 1 987 Post crash 1 988 1 989 1990 1991 1992 Average 1 982 to 10 October 1 987 Average . 14 and 15 of À1 .82
percent and À1.39 percent, respectively (volume of 3 ,81 4,630,000 and
4,290,930,000).
.
September 18, 20 08: volume reached 10, 082 , 689 ,600. 693,729, 984 À6 .86 57
31-August- 98 917,500,032 À6 .80 14
8- January -88 197,300,000 À6.7 683
13-October -89 251,170,000 À6.1172
14-April-00 1,279,699,9 68 À5 .82 78
17-September-01