Stock market crash
A stock market crash is a sudden dramatic decline of stock prices across a significant cross-section of a stock market, resulting in a significant loss of paper wealth. Crashes are driven by panic as much as by underlying economic factors. They often follow speculative stock market bubbles.
Stock market crashes are social phenomena where external economic events combine with crowd behavior and psychology in a positive feedback loop where selling by some market participants drives more market participants to sell. Generally speaking, crashes usually occur under the following conditions: a prolonged period of rising stock prices and excessive economic optimism, a market where P/E ratios exceed long-term averages, and extensive use of margin debt and leverage by market participants.
There is no numerically specific definition of a stock market crash but the term commonly applies to steep double-digit percentage losses in a stock market index over a period of several days. Crashes are often distinguished from bear markets by panic selling and abrupt, dramatic price declines. Bear markets are periods of declining stock market prices that are measured in months or years. While crashes are often associated with bear markets, they do not necessarily go hand in hand. The crash of 1987, for example, did not lead to a bear market. Likewise, the Japanese Nikkei bear market of the 1990s occurred over several years without any notable crashes.
Wall Street Crash of 1929
The economy had been growing robustly for most of the so-called Roaring Twenties. It was a technological golden age as innovations such as radio, automobiles, aviation, telephone and the power grid were deployed and adopted. Companies that had pioneered these advances, like Radio Corporation of America (RCA) and General Motors, saw their stocks soar. Financial corporations also did well as Wall Street bankers floated mutual fund companies (then known as investment trusts) like the Goldman Sachs Trading Corporation. Investors were infatuated with the returns available in the stock market especially with the use of leverage through margin debt.
On August 24, 1921, the Dow Jones Industrial Average stood at a value of 63.9. By September 3, 1929, it had risen more than sixfold, touching 381.2. It would not regain this level for another twenty-five years. By the summer of 1929, it was clear that the economy was contracting and the stock market went through a series of unsettling price declines. These declines fed investor anxiety and events soon came to a head on October 24 (known as Black Thursday) and October 29 (known as Black Tuesday).
On Black Tuesday, the Dow Jones Industrial Average fell 38 points to 260, a drop of 12.8%. The deluge of selling overwhelmed the ticker tape system that normally gave investors the current prices of their shares. Telephone lines and telegraphs were clogged and were unable to cope. This information vacuum only led to more fear and panic. The technology of the New Era, much celebrated by investors previously, now served to deepen their suffering.
Black Tuesday was a day of chaos. Forced to liquidate their stocks because of margin calls, overextended investors flooded the exchange with sell orders. The glamour stocks of the age saw their values plummet. Across the two days, the Dow Jones Industrial Average fell 23%.
By the end of the weekend of November 11, the index stood at 228, a cumulative drop of 40 percent from the September high. The markets rallied in succeeding months but it would be a false recovery that led unsuspecting investors into further losses. The Dow Jones Industrial Average would lose 89% of its value before finally bottoming out in July 1932. The crash was followed by the Great Depression, the worst economic crisis of modern times.
Crash of 2008–2009
On September 16, 2008, failures of massive financial institutions in the United States, due primarily to exposure of securities of packaged subprime loans and credit default swaps issued to insure these loans and their issuers, rapidly devolved into a global crisis resulting in a number of bank failures in Europe and sharp reductions in the value of equities (stock) and commodities worldwide. The failure of banks in Iceland resulted in a devaluation of the Icelandic Krona and threatened the government with bankruptcy. Iceland was able to secure an emergency loan from the International Monetary Fund in November. In the United States, 15 banks failed in 2008, while several others were rescued through government intervention or acquisitions by other banks. On October 11, 2008, the head of the International Monetary Fund (IMF) warned that the world financial system was teetering on the "brink of systemic meltdown."
The economic crisis caused countries to temporarily close their markets.
On October 8, the Indonesian stock market halted trading, after a 10% drop in one day.
The Times of London reported that the meltdown was being called the Crash of 2008 and older traders were comparing it with Black Monday in 1987. The fall that week of 21 percent was not as large a drop as the 28.3 percent fall 21 years earlier, but some traders were saying it was worse. “At least then it was a short, sharp, shock on one day. This has been relentless all week.” Business Week also referred to the crisis as a "stock market crash" or the "Panic of 2008."
Beginning October 6 and lasting all week the Dow Jones Industrial Average closed lower for all 5 sessions. Volume levels were also record breaking. The Dow Jones industrial average fell over 1,874 points, or 18%, in its worst weekly decline ever on both a point and percentage basis. The S&P 500 fell more than 20%. The week also set 3 top ten NYSE Group Volume Records with October 8 at #5, October 9 at #10, and October 10 at #1.
It has been noted that recent daily stock market drops are overall nowhere near the severity experienced during the last stock market crash in 1987. Others have suggested that the media is manipulating and over-inflating stock market drops and calling them "crashes" in order to create the perception of a great depression.
After having been suspended for three successive trading days, i.e., October 9, October 10, and October 13, the Icelandic stock market reopened on 14 October, with the main index, the OMX Iceland 15, closing at 678.4, which corresponds to a plunge of about 77% compared with the closure at 3,004.6 on October 8. This reflects the fact that the value of the three big banks, which form 73.2 percent of the value of the OMX Iceland 15, had been set to zero.
On October 24, many of the world's stock exchanges experienced the worst declines in their history, with drops of around 10% in most indices. In the US, the Dow Jones industrial average fell 3.6%, not falling as much as other markets. Instead, both the US Dollar and Japanese Yen soared against other major currencies, particularly the British Pound and Canadian Dollar, as world investors sought safe havens. Later that day, the deputy governor of the Bank of England, Charles Bean, suggested that "This is a once in a lifetime crisis, and possibly the largest financial crisis of its kind in human history."
Trading curbs, also known as "circuit breakers", are a trading halt in the cash market and the corresponding trading halt in the derivative markets triggered by the halt in the cash market, all of which are affected based on substantial movements in a broad market indicator.
There are three thresholds each of which represents different level of decline in terms of points in Dow Jones industrial average.
- In the event where threshold 1 is breached, the first halt is triggered. If that point is reached before 2 p.m., the market would shut down for an hour. If threshold 1 is breached between 2 p.m. and 2:30 p.m., the halt will last 30 minutes. No trading stops will take place if threshold 1 is breached after 2:30 p.m.
- If threshold 2 is breached before 1 p.m., the market would close for two hours. If such a decline took place between 1 p.m. and 2 p.m., there would be a one-hour pause. The market would close for the day if stocks sank to that level after 2 p.m.
- In the event where threshold 3 is breached, the market would close for the day, regardless of the time.
The thresholds are computed at the beginning of each quarter to establish a specific point value for the quarter.
For the second quarter of 2011, threshold 1 is 1200 points, threshold 2 is 2400 points, and threshold 3 is 3600 points.
The rules would halt trading on the major securities and futures exchanges in a coordinated cross-market halt if the circuit breaker is enacted.
In France, daily price limits are implemented in cash and derivative markets. Securities traded on the markets are divided into three categories according to the number and volume of daily transactions and price limits vary depending on the category to which the security belongs. For instance, for the more liquid category, when the price movement of a security exceeds 10% from the quoted price at the close of the previous market day, quotation is suspended for 15 minutes. After 15 minutes, transactions are resumed. If the price then goes up or down by more than 5%, transactions are again suspended for 15 minutes. The 5% threshold may apply once more before transactions are halted for the rest of the day. When transactions are suspended in the cash market on a given security, due to undue price movement, transactions on the option based on the underlying security are also suspended. Further, when more than 35% of the capitalization of the CAC40 Index is unable to be quoted, the calculation of the CAC40 Index is suspended and the index is replaced by a trend indicator. When less than 25% of the capitalization of the CAC40 Index is able to be quoted, quotations on the derivative markets are suspended for half an hour or one hour when additional margin deposits are requested.
Mathematical theory and stock market crashes
The mathematical characterisation of stock market movements has been a subject of intense interest. The conventional assumption has been that stock markets behave according to a random Gaussian or "normal" distribution. Among others, mathematician Benoît Mandelbrot suggested as early as 1963 that the statistics prove this assumption incorrect. Mandelbrot observed that large movements in prices (i.e. crashes) are much more common than would be predicted in a normal distribution. Mandelbrot and others suggest that the nature of market moves is generally much better explained using non-linear analysis and concepts of chaos theory. This has been expressed in non-mathematical terms by George Soros in his discussions of what he calls reflexivity of markets and their non-linear movement. George Soros said in late October 1987, 'Mr. Robert Prechter's reversal proved to be the crack that started the avalanche'.
Research at the Massachusetts Institute of Technology suggests that there is evidence the frequency of stock market crashes follows an inverse cubic power law. This and other studies such as Prof. Didier Sornette's work suggest that stock market crashes are a sign of self-organized criticality in financial markets. In 1963, Mandelbrot proposed that instead of following a strict random walk, stock price variations executed a Lévy flight. A Lévy flight is a random walk that is occasionally disrupted by large movements. In 1995, Rosario Mantegna and Gene Stanley analyzed a million records of the S&P 500 market index, calculating the returns over a five year period. Researchers continue to study this theory, particularly using computer simulation of crowd behaviour, and the applicability of models to reproduce crash-like phenomena.
Research at the New England Complex Systems Institute has found warning signs of crashes using new statistical analysis tools of complexity theory. This work suggests that the panics that lead to crashes come from increased mimicry in the market. A dramatic increase in market mimicry occurred during the whole year before each market crash of the past 25 years, including the recent financial crisis. When investors closely follow each other’s cues, it is easier for panic to take hold and affect the market. This work is a mathematical demonstration of a significant advance warning sign of impending market crashes.
The study Switching processes in financial markets published in the Proceedings of the National Academy of Sciences reveals a general empirical law quantifying market behavior near bubbles and crashes.
The Hindenburg Omen, developed by physics professor Jim Miekka, is a controversial indicator that is believed by many to predict stock market crashes.
- List of stock market crashes
- Behavioral finance
- Business cycle
- Dot-com bubble
- Economic bubble
- Economic collapse
- Economic history
- Financial market
- Financial crisis
- Market trend
- Modeling and analysis of financial markets
- Stock market
- Stock market boom
- Stock market bubble
- ^ Galbraith, J. The Great Crash 1929, 1988 edition, Houghton Mifflin Co. Boston, p.xii-xvii
- ^ IMF approves $2.1bn Iceland loan
- ^ Marketwatch.com Two banks fold, bringing total to 15 failures this year
- ^ Canada.com Finance ministers face down crisis as IMF head warns of 'meltdown'
- ^ Business.timesonline.co.uk The Times
- ^ Stock Market Crash: Understanding the Panic
- ^ Telegraph.co.uk Financial crisis: US stock markets suffer worst week on record
- ^ NYXdata.com NYSE Group Volume Records — Top 10 Days
- ^ Mlive.com AP: Snowballing Sell Off Spreads World Wide
- ^ Businessandmedia.org The Great Media Depression Report
- ^ Seekingalpha.com Seeking Alpha: This is not a Crash
- ^ Marketwatch.com Indexes fall hard on bloody Friday
- ^ CNBC.com Stocks Selloff Fails to Meet Expectations
- ^ Dailymail.co.uk 'Worst financial crisis in human history': Bank boss's warning as pound suffers biggest fall for 37 years
- ^ Leatherheadblog.com
- ^ Finance.yahoo.com
- ^ a b Riskinstitute.ch
- ^ NYSE.com
- ^ IHT.com
- ^ Malkiel, Burton G. (1973). A Random Walk Down Wall Street (6th ed.). W.W. Norton & Company, Inc.. ISBN 0393062457.
- ^ Fama, Eugene F. (September/October 1965). "Random Walks In Stock Market Prices". Financial Analysts Journal 21 (5): 55–59. doi:10.2469/faj.v21.n5.55. http://www.cfapubs.org/toc/faj/1965/21/5. Retrieved 2008-03-21.
- ^ The (Mis-)Behavior Of Markets
- ^ 'Father of Fractals' takes on the stock market
- ^ Soros, G. Alchemy of Finance, Wiley Investment Classics. 2003
- ^ Marketwatch.com
- ^ Thomas Jr, Landon (October 13, 2007). "The Man Who Won as Others Lost". The New York Times. http://www.nytimes.com/2007/10/13/business/13speculate.html?scp=1&sq=robert%20prechter&st=cse. Retrieved May 24, 2010.
- ^ Stock trade patterns could predict financial earthquakes
- ^ Didier Sornette, Professor of Geophysics
- ^ The variation of certain speculative prices
- ^ Scaling behaviour in the dynamics of an economic precursors and replicas." Journal de Physique I France 6, No.1, pp. 167–175.
- ^ Predicting economic market crises using measures of collective panic arXiv:1102.2620v1 [q-fin.ST]
- ^ Possible Early Warning Sign for Market Crashes
- ^ Switching processes in financial markets
- ^ Blueprint of a trend: How does a financial bubble burst?
Stock market crashes 1701–1800Panic of 1792 · Panic of 1796–1797 1801–1900 1901–2000Panic of 1901 · Panic of 1907 · Depression of 1920–21 · Wall Street Crash of 1929 · Recession of 1937–1938 · 1973–1974 stock market crash · Silver Thursday (1980) · Souk Al-Manakh stock market crash (1982) · Japanese asset price bubble (1986–1991) · Black Monday (1987) · Friday the 13th mini-crash (1989) · Black Wednesday (1992) · Dot-com bubble (1995–2000) · 1997 Asian financial crisis · October 27, 1997 mini-crash · 1998 Russian financial crisis 2001–presentEconomic effects arising from the September 11 attacks (2001) · Stock market downturn of 2002 · Chinese stock bubble of 2007 · Late-2000s financial crisis · United States bear market of 2007–2009 · Dubai 2009 debt standstill · European sovereign debt crisis (2009–2011) · 2010 Flash Crash · August 2011 stock markets fall
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