text:
2010 Flash Crash
From Wikipedia, the free encyclopedia
Jump to: navigation, search
The May 6, 2010, Flash Crash[1][2] also known as the Crash of 2:45, the 2010 Flash Crash or simply the Flash Crash, was a United States trillion-dollar[3] stock market crash, which started at 2:32 p.m. EDT and lasted for approximately 36 minutes.[4]:1 Stock indexes, such as the S&P 500, Dow Jones Industrial Average and Nasdaq Composite, collapsed and rebounded very rapidly.[4] The Dow Jones Industrial Average had its biggest intraday point drop (from the opening) up to that point,[4] plunging 998.5 points (about 9%), most within minutes, only to recover a large part of the loss.[5][6] It was also the second-largest intraday point swing (difference between intraday high and intraday low) up to that point, at 1,010.14 points.[4][5][7][8] The prices of stocks, stock index futures, options and exchange-traded fund (ETFs) were volatile, thus trading volume spiked.[4]:3 A CFTC 2014 report described it as one of the most turbulent periods in the history of financial markets.[4]:1
According to a December 6, 2015 article in the Wall Street Journal, new regulations put in place following the 2010 Flash Crash—when "bids on dozens of ETFs (and other stocks) fell as low as a penny a share[9]—proved to be inadequate to protect investors in the August 24, 2015 flash crash, "when the price of many ETFs appeared to come unhinged from their underlying value."—ETFs were put under greater scrutiny by regulators and investors.[9] Analysts at Morningstar claim that,[9]
"ETFs are a 'digital-age technology' governed by "Depression-era legislation."
— Morningstar December 6, 2015
On April 21, 2015, nearly five years after the incident, the U.S. Department of Justice laid "22 criminal counts, including fraud and market manipulation" [10] against Navinder Singh Sarao, a trader. Among the charges included was the use of spoofing algorithms; just prior to the Flash Crash, he placed thousands of E-mini S&P 500 stock index futures contracts which he planned on canceling later.[10] These orders amounting to about "$200 million worth of bets that the market would fall" were "replaced or modified 19,000 times" before they were canceled.[10] Spoofing, layering, and front running are now banned.[3]
The Commodity Futures Trading Commission (CFTC) investigation concluded that Sarao "was at least significantly responsible for the order imbalances" in the derivatives market which affected stock markets and exacerbated the flash crash.[10] Sarao began his alleged market manipulation in 2009 with commercially available trading software whose code he modified "so he could rapidly place and cancel orders automatically."[10] Traders Magazine journalist, John Bates, argued that blaming a 36-year-old small-time trader who worked from his parents' modest stucco house in suburban west London[10] for sparking a trillion-dollar stock market crash is a little bit like blaming lightning for starting a fire" and that the investigation was lengthened because regulators used "bicycles to try and catch Ferraris." Furthermore, he concluded that by April 2015, traders can still manipulate and impact markets in spite of regulators and banks' new, improved monitoring of automated trade systems.[3]
As recently as May 2014, a CFTC report concluded that high-frequency traders "did not cause the Flash Crash, but contributed to it by demanding immediacy ahead of other market participants."[4]:1
Some recent research argues that Flash Crashes are not isolated occurrences, but have occurred quite often over the past century. For instance, Irene Aldridge, the author of High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems, 2nd ed., Wiley & Sons,[11] shows that Flash Crashes have been frequent and their causes predictable in market microstructure analysis.[12]
Contents
[hide]
1 Background
2 Explanation
2.1 SEC/CFTC Report on May 6, 2010
2.2 Early theories
2.3 Criticism of the SEC-CFTC report
2.4 Academic research
2.5 Evidence of market manipulation and arrest
3 Aftermath
3.1 Stock market reaction
3.2 Congressional hearings
3.3 Trading curb
4 See also
5 References
6 External links
Background[edit]
On May 6, 2010, U.S. stock markets opened and the Dow was down, and trended that way for most of the day on worries about the debt crisis in Greece. At 2:42 p.m., with the Dow down more than 300 points for the day, the equity market began to fall rapidly, dropping an additional 600 points in 5 minutes for a loss of nearly 1,000 points for the day by 2:47 p.m. Twenty minutes later, by 3:07 p.m., the market had regained most of the 600-point drop.[13]:1
At the time of the Flash Crash, in May 2010, high-frequency traders were taking advantage of unintended consequences of the consolidation of the U.S. financial regulations into Regulation NMS,[3][14] designed to modernize and strengthen the United States National Market System for equity securities.[15]:641 The Reg NMS, promulgated and described by the United States Securities and Exchange Commission, was intended to assure that investors received the best price executions for their orders by encouraging competition in the marketplace, created attractive new opportunities for high-frequency-traders. Activities such as spoofing, layering and front-running were banned by 2015.[citation needed] This rule was designed to give investors the best possible price when dealing in stocks, even if that price was not on the exchange that received the order.[16]:171 An HFT trader can benefit from the rule by placing a tiny order at an apparently beneficial price to other traders, but which alerts them to the existence of a large order and so they can snap up existing offers or bids to drive the price away from the large order, then filling the large order at a profit.[disputed – discuss]
Explanation[edit]
SEC/CFTC Report on May 6, 2010[edit]
On September 30, 2010, after almost five months of investigations led by Gregg E. Berman,[17][18] the U.S. Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC) issued a joint report titled "Findings Regarding the Market Events of May 6, 2010" identifying the sequence of events leading to the Flash Crash.[19]
The joint 2010 report "portrayed a market so fragmented and fragile that a single large trade could send stocks into a sudden spiral",[20] and detailed how a large mutual fund firm selling an unusually large number of E-Mini S&P contracts first exhausted available buyers, and then how high-frequency traders (HFT) started aggressively selling, accelerating the effect of the mutual fund's selling and contributing to the sharp price declines that day.[20][21][22][23][24][25][26][27][excessive citations]
The SEC and CFTC joint 2010 report itself says that "May 6 started as an unusually turbulent day for the markets" and that by the early afternoon "broadly negative market sentiment was already affecting an increase in the price volatility of some individual securities". At 2:32 p.m. (EDT), against a "backdrop of unusually high volatility and thinning liquidity" that day, "a large fundamental trader (a mutual fund complex) initiated a sell program to sell a total of 75,000 E-Mini S&P contracts (valued at approximately $4.1 billion) as a hedge to an existing equity position". The report says that this was an unusually large position and that the computer algorithm the trader used to trade the position was set to "target an execution rate set to 9% of the trading volume calculated over the previous minute, but without regard to price or time".[19]
As the large seller's trades were executed in the futures market, buyers included high-frequency trading firms—trading firms that specialize in high-speed trading and rarely hold on to any given position for very long—and within minutes these high-frequency trading firms also started aggressively selling the long futures positions they first accumulated mainly from the mutual fund.[20] The Wall Street Journal quoted the joint report, "'HFTs [then] began to quickly buy and then resell contracts to each other—generating a 'hot-potato' volume effect as the same positions were passed rapidly back and forth.'"[20] The combined sales by the large seller and high-frequency firms quickly drove "the E-Mini price down 3% in just four minutes".[20]
From the SEC/CFTC report:
The combined selling pressure from the sell algorithm, HFTs, and other traders drove the price of the E-Mini S&P 500 down approximately 3% in just four minutes from the beginning of 2:41 p.m. through the end of 2:44 p.m. During this same time cross-market arbitrageurs who did buy the E-Mini S&P 500, simultaneously sold equivalent amounts in the equities markets, driving the price of SPY (an exchange-traded fund which represents the S&P 500 index) also down approximately 3%.
Still lacking sufficient demand from fundamental buyers or cross-market arbitrageurs, HFTs began to quickly buy and then resell contracts to each other—generating a “hot-potato” volume effect as the same positions were rapidly passed back and forth. Between 2:45:13 and 2:45:27, HFTs traded over 27,000 contracts, which accounted for about 49 percent of the total trading volume, while buying only about 200 additional contracts net.[19]
As prices in the futures market fell, there was a spillover into the equities markets. The computer systems used by most high-frequency trading firms to keep track of market activity decided to pause trading, and those firms then scaled back their trading or withdrew from the markets altogether.[20][21][22][23]
The New York Times then noted, "Automatic computerized traders on the stock market shut down as they detected the sharp rise in buying and selling".[22] As computerized high-frequency traders exited the stock market, the resulting lack of liquidity "caused shares of some prominent companies like Procter & Gamble and Accenture to trade down as low as a penny or as high as $100,000".[22] These extreme prices also resulted from "market internalizers",[28][29][30] firms that usually trade with customer orders from their own inventory instead of sending those orders to exchanges, "routing 'most, if not all,' retail orders to the public markets—a flood of unusual selling pressure that sucked up more dwindling liquidity".[23]
While some firms exited the market, firms that remained in the market exacerbated price declines because they "'escalated their aggressive selling' during the downdraft".[20] High-frequency firms during the crisis, like other firms, were net sellers, contributing to the crash.[21][22][23]
The joint report continued: "At 2:45:28 p.m., trading on the E-Mini was paused for five seconds when the Chicago Mercantile Exchange ('CME') Stop Logic Functionality was triggered in order to prevent a cascade of further price declines. In that short period of time, sell-side pressure in the E-Mini was partly alleviated and buy-side interest increased. When trading resumed at 2:45:33 p.m., prices stabilized and shortly thereafter, the E-Mini began to recover, followed by the SPY".[19] After a short while, as market participants had "time to react and verify the integrity of their data and systems, buy-side and sell-side interest returned and an orderly price discovery process began to function", and by 3:00 p.m., most stocks "had reverted back to trading at prices reflecting true consensus values".[19]
Early theories[edit]
In 2010 CME Group, a large futures exchange, stated that, insofar as stock index futures traded on CME Group were concerned, its investigation found no evidence that high-frequency trading played a role, and in fact concluded that automated trading had contributed to market stability during the period of the crash.[31] Others speculate that an intermarket sweep order may have played a role in triggering the crash.[32]
The fat-finger theory: In 2010 immediately after the plunge, several reports indicated that the event may have been triggered by a fat-finger trade, an inadvertent large "sell order" for Procter & Gamble stock, inciting massive algorithmic trading orders to dump the stock; however, this theory was quickly disproved after it was determined that Procter and Gamble's decline occurred after a significant decline in the E-Mini S&P 500 futures contracts.[33][34][35] The "fat-finger trade" hypothesis was also disproved when it was determined that existing CME Group and ICE safeguards would have prevented such an error.[36]
Impact of high frequency traders: Regulators found HFT's exacerbated price declines. As noted above, regulators found that high frequency traders exacerbated price declines. Regulators determined that high frequency traders sold aggressively to eliminate their positions and withdrew from the markets in the face of uncertainty.[20][21][22][23] A July 2011 report by the International Organization of Securities Commissions (IOSCO), an international body of securities regulators, concluded that while "algorithms and HFT technology have been used by market participants to manage their trading and risk, their usage was also clearly a contributing factor".[37][38] Other theories postulate that the actions of high frequency traders (HFTs) were the underlying cause of the flash crash. One hypothesis, based on the analysis of bid-ask data by Nanex, LLC, is that HFTs send non-executable orders (orders that are outside the bid-ask spread) to exchanges in batches. Though the purpose of these orders is unknown, some experts speculate that their purpose is to increase noise, clog exchanges, and outwit competitors.[39] However, other experts believe that deliberate market manipulation is unlikely because there is no practical way in which the HFTs can profit from these orders, and it is more likely that these orders are designed to test latency times and to detect early price trends.[40] Whatever the reasons behind the possible existence of these orders, this theory postulates that they exacerbated the crash by overloading the exchanges on May 6.[39][40] On September 3, 2010, the regulators probing the crash concluded: "that quote-stuffing—placing and then almost immediately cancelling large numbers of rapid-fire orders to buy or sell stocks—was not a 'major factor' in the turmoil".[41] Some have put forth the theory high-frequency trading actually has been a major factor in minimizing and reversing the flash crash.[42]
Large directional bets: Regulators say a large E-Mini S&P 500 seller set off a chain of events triggering the Flash Crash, but did not identify the firm.[20][21][22][23] Earlier, some investigators suggested that a large purchase of put options on the S&P 500 index by the hedge fund Universa Investments shortly before the crash may have been among the primary causes.[43][44] Other reports have speculated that the event may have been triggered by a single sale of 75,000 E-Mini S&P 500 contracts valued at around $4 billion by the Overland Park, Kansas firm Waddell & Reed on the Chicago Mercantile Exchange.[45] Others suspect a movement in the U.S. Dollar to Japanese yen exchange rate.[46]
Changes in market structure: Some market structure experts speculate that, whatever the underlying causes, equity markets are vulnerable to these sort of events because of decentralization of trading.[39]
Technical glitches: An analysis of trading on the exchanges during the moments immediately prior to the flash crash reveals technical glitches in the reporting of prices on the NYSE and various alternative trading systems (ATSs) that might have contributed to the drying up of liquidity. According to this theory, technical problems at the NYSE led to delays as long as five minutes in NYSE quotes being reported on the Consolidated Quotation System (CQS) with time stamps indicating that the quotes were current. However, some market participants (those with access to NYSE's own quote reporting system, OpenBook) could see both correct current NYSE quotes, as well as the delayed but apparently current CQS quotes. At the same time, there were errors in the prices of some stocks (Apple Inc., Sothebys, and some ETFs). Confused and uncertain about prices, many market participants attempted to drop out of the market by posting stub quotes (very low bids and very high offers) and, at the same time, many high-frequency trading algorithms attempted to exit the market with market orders (which were executed at the stub quotes) leading to a domino effect that resulted in the flash crash plunge.[47][48]
Criticism of the SEC-CFTC report[edit]
A few hours after the release of the 104-page SEC-CFTC 2010 report, a number of critics stated that blaming a single order (from Waddell & Reed) for triggering the event was disingenuous. Most prominent of all, the CME issued within 24 hours a rare press release in which it argued against the SEC-CFTC explanation:
Futures and options markets are hedging and risk transfer markets. The report references a series of bona fide hedging transactions, totaling 75,000 contracts, entered into by an institutional asset manager to hedge a portion of the risk in its $75 billion investment portfolio in response to global economic events and the fundamentally deteriorating market conditions that day. The 75,000 contracts represented 1.3% of the total E-Mini S&P 500 volume of 5.7 million contracts on May 6 and less than 9% of the volume during the time period in which the orders were executed. The prevailing market sentiment was evident well before these orders were placed, and the orders, as well as the manner in which they were entered, were both legitimate and consistent with market practices. These hedging orders were entered in relatively small quantities and in a manner designed to dynamically adapt to market liquidity by participating in a target percentage of 9% of the volume executed in the market. As a result of the significant volumes traded in the market, the hedge was completed in approximately twenty minutes, with more than half of the participant's volume executed as the market rallied—not as the market declined. Additionally, the aggregate size of this participant's orders was not known to other market participants.
Additionally, the most precipitous period of market decline in the E-Mini S&P 500 futures on May 6 occurred during the 3½ minute period immediately preceding the market bottom that was established at 13:45:28. During that period, the participant hedging its portfolio represented less than 5% of the total volume of sales in the market.[49]
David Leinweber, director of the Center for Innovative Financial Technology at Lawrence Berkeley National Laboratory, was invited by The Journal of Portfolio Management to write an editorial, in which he openly criticized the government's technological capabilities and inability to study today's markets. Leinweber wrote:
The heads of the SEC and CFTC often point out that they are running an IT museum. They have photographic evidence to prove it—the highest-tech background that The New York Times (on September 21, 2010) could find for a photo of Gregg Berman, the SEC’s point man on the Flash, was a corner with five PCs, a Bloomberg, a printer, a fax, and three TVs on the wall with several large clocks.
A better measure of the inadequacy of the current mélange of IT antiquities is that the SEC/CFTC report on the May 6 crash was released on September 30, 2010. Taking nearly five months to analyze the wildest ever five minutes of market data is unacceptable. CFTC Chair Gensler specifically blamed the delay on the “enormous” effort to collect and analyze data. What an enormous mess it is.[50]
Nanex, a leading firm specialized in the analysis of high-frequency data, also pointed out to several inconsistencies in the CFTC study:
Based on interviews and our own independent matching of the 6,438 W&R executions to the 147,577 CME executions during that time, we know for certain that the algorithm used by W&R never took nor required liquidity. It always posted sell orders above the market and waited for a buyer; it never crossed the bid/ask spread. That means that none of the 6,438 trades were executed by hitting a bid. [...] [S]tatements from page 36 of Kirilenko's paper cast serious doubt on the credibility of their analysis. [...] It is widely believed that the "sell program" refers to the algo selling the W&R contracts. However, based on the statements above, this cannot be true. The sell program must be referring to a different algo, or Kirilenko's analysis is fundamentally flawed, because the paper incorrectly identifies trades that hit the bid as executions by the W&R algo.[51]
Academic research[edit]
"Order flow toxicity" (measured as CDF[VPIN]) was at historically high levels one hour prior to the flash crash
External video
Video of the S&P500 futures during the Flash Crash
As of July 2011, only one theory on the causes of the flash crash was published by a Journal Citation Reports indexed, peer-reviewed scientific journal.[52] It was reported in 2011 that one hour before its collapse in 2010, the stock market registered the highest reading of "toxic order imbalance" in previous history.[52] The authors of this 2011 paper apply widely accepted market microstructure models to understand the behavior of prices in the minutes and hours prior to the crash. According to this paper, "order flow toxicity" can be measured as the probability that informed traders (e.g., hedge funds) adversely select uninformed traders (e.g., market makers). For that purpose, they developed the VPIN Flow Toxicity metric, which delivered a real-time estimate of the conditions under which liquidity is being provided. If the order imbalance becomes too toxic, market makers are forced out of the market. As they withdraw, liquidity disappears, which increases even more the concentration of toxic flow in the overall volume, which triggers a feedback mechanism that forces even more market makers out. This cascading effect has caused hundreds of liquidity-induced crashes in the past, the flash crash being one (major) example of it. One hour before the flash crash, order flow toxicity was the highest in recent history.
Network view of the market during the simulated flash crash. The figure demonstrates the trading behaviors between different players in the system.[53]
However, independent studies published in 2013 strongly disputed the last claim.[54][55][56] In particular, in 2011 Andersen and Bondarenko conducted a comprehensive investigation of the two main versions of VPIN used by its creators, one based on the standard tick-rule (or TR-VPIN)[52][57][58] and the other based on Bulk Volume Classification (or BVC-VPIN).[59] They find that the value of TR-VPIN (BVC-VPIN) one hour before the crash "was surpassed on 71 (189) preceding days, constituting 11.7% (31.2%) of the pre-crash sample". Similarly, the value of TR-VPIN (BVC-VPIN) at the start of the crash was "topped on 26 (49) preceding days, or 4.3% (8.1%) of the pre-crash sample."[55]
Note that the source of increasing "order flow toxicity" on May 6, 2010, is not determined in Easley, Lopez de Prado, and O'Hara's 2011 publication.[52] Whether a dominant source of toxic order flow on May 6, 2010, was from firms representing public investors or whether a dominant source was intermediary or other proprietary traders could have a significant effect on regulatory proposals put forward to prevent another Flash Crash. According to Bloomberg, the VPIN metric is the subject of a pending patent application filed by the paper's three authors, Maureen O'Hara and David Easley of Cornell University, and Marcos Lopez de Prado, of Tudor Investment Corporation.[60]
A study of VPIN[61] by scientists from the Lawrence Berkeley National Laboratory cited the 2011 conclusions of Easley, Lopez de Prado and O'Hara for VPIN on S&P 500 futures[52] but provided no independent confirmation for the claim that VPIN reached its historical high one hour before the crash:
With suitable parameters, [Easley, Lopez de Prado, and O'Hara] have shown that the [CDF of] VPIN reaches 0.9 more than an hour before the Flash Crash on May 6, 2010. This is the strongest early warning signal known to us at this time.
On April 21, 2015, the U.S. Department of Justice announced that criminal charges had been brought upon Mr. Navinder Singh Sarao. The CFTC's director of enforcement told reporters "We do believe and intend to show that his conduct was at least significantly responsible for the order imbalance that in turn was one of the conditions that led to the flash crash." A Bloomberg News article went on to explain that: "Tuesday’s developments fly in the face of the prevailing narratives of what happened. Regulators initially concluded that a mutual fund company -- said to be Waddell & Reed Financial Inc. of Overland Park, Kansas -- played a leading role." That official SEC-CFTC report had originally assigned the blame to a large mutual fund that placed a large hedging order for 75,000 E-Mini futures contracts. Mr. Sarao is charged with manipulating the market by causing extreme order imbalances, consistent with VPIN's explanation of the event.[10]
Network snapshots before (left) and during (right) the simulated flash crash. The last 400 transactions in the order-book are plotted by connecting the HFT agents who transact with each other. The node color indicates the inventory size of the HFT agent. When the market operates normally (left subplot), almost all of the HFT agents are in control of their inventory (greenish color). In crash period (right), most of the HFT agents gain large inventories (red) and the network is highly interconnected: over 85 percent of the transactions are HFT-HFT.[53]
The Chief Economist of the Commodity Futures Trading Commission and several academic economists published a working paper containing a review and empirical analysis of trade data from the Flash Crash.[62] The authors examined the characteristics and activities of buyers and sellers in the Flash Crash and determined that a large seller, a mutual fund firm, exhausted available fundamental buyers and then triggered a cascade of selling by intermediaries, particularly high-frequency trading firms. Like the SEC/CFTC report described earlier, the authors call this cascade of selling "hot potato trading",[53] as high-frequency firms rapidly acquired and then liquidated positions among themselves at steadily declining prices.
The authors conclude:
Based on our analysis, we believe that High Frequency Traders exhibit trading patterns inconsistent with the traditional definition of market making. Specifically, High Frequency Traders aggressively trade in the direction of price changes. This activity comprises a large percentage of total trading volume, but does not result in a significant accumulation of inventory. As a result, whether under normal market conditions or during periods of high volatility, High Frequency Traders are not willing to accumulate large positions or absorb large losses. Moreover, their contribution to higher trading volumes may be mistaken for liquidity by Fundamental Traders. Finally, when rebalancing their positions, High Frequency Traders may compete for liquidity and amplify price volatility.
Consequently, we believe, that irrespective of technology, markets can become fragile when imbalances arise as a result of large traders seeking to buy or sell quantities larger than intermediaries are willing to temporarily hold, and simultaneously long-term suppliers of liquidity are not forthcoming even if significant price concessions are offered.
Recent research on dynamical complex networks published in Nature Physics (2013) suggests that the 2010 Flash Crash may be an example of the "avoided transition" phenomenon in network systems with critical behavior.[63]
Evidence of market manipulation and arrest[edit]
In April 2015, Navinder Singh Sarao, a London-based point-and-click trader,[64] was arrested for his alleged role in the flash crash. According to criminal charges brought by the United States Department of Justice, Sarao allegedly used an automated program to generate large sell orders, pushing down prices, which he then cancelled to buy at the lower market prices. The Commodity Futures Trading Commission filed civil charges against Sarao.[65][66] In August 2015, Sarao was released on a £50,000 bail with a full extradition hearing scheduled for September with the US Department of Justice. Sarao and his company, Nav Sarao Futures Limited, allegedly made more than $40 million in profit from trading during the Flash Crash.[67][68][69][70] During extradition proceedings he was represented by Richard Egan[71] of Tuckers Solicitors.[72]
Aftermath[edit]
Stock market reaction[edit]
A stock market anomaly, the major market indexes dropped by over 9% (including a roughly 7% decline in a roughly 15-minute span at approximately 2:45 p.m., on May 6, 2010)[73][74] before a partial rebound.[8] Temporarily, $1 trillion in market value disappeared.[75] While stock markets do crash, immediate rebounds are unprecedented. The stocks of eight major companies in the S&P 500 fell to one cent per share for a short time, including Accenture, CenterPoint Energy and Exelon; while other stocks, including Sotheby's, Apple Inc. and Hewlett-Packard, increased in value to over $100,000 in price.[7][76][77] Procter & Gamble in particular dropped nearly 37% before rebounding, within minutes, back to near its original levels. The drop in P&G was broadcast live on CNBC at the time, with commentator Jim Cramer commenting:
“ ("Let's take a look at P&G. Alright, this is going to say everything. P&G is now down 25%.")
Oh, well, that's true, if that stock is there you just go and buy it. That—it can't be there. [pointing finger] That is not a real price. Oh well, just go buy Procter. Just go buy Procter & Gamble, they reported a decent quarter, just go buy it.
("Is there a hedge fund that is liquidating?")
Eh... Who cares?! I'll pay... a 49 + 1/4 bid for 50,000 Procter, if I were at my hedge fund. I mean, this is ridi... this is a good opportunity. When I walked down here it was at 61—when I walked down here it was at 61, I'm not that interested in it. It's at 47, well that's a different security entirely, so what you have to do, though, you have to use limit orders, because Procter just jumped seven points because I said I liked it at 49.[78]
”
Stocks continued to rebound in the following days, helped by a bailout package in Europe to help save the euro. The S&P 500 erased all losses within a week, but selling soon took over again and the indices reached lower depths within two weeks.
Congressional hearings[edit]
The NASDAQ released their timeline of the anomalies during U.S. Congressional House Subcommittee on Capital Markets and Government-Sponsored Enterprises[79] hearings on the flash crash.[2] NASDAQ's timeline indicates that NYSE Arca may have played an early role and that the Chicago Board Options Exchange sent a message saying that NYSE Arca was "out of NBBO". The Chicago Board Options Exchange, NASDAQ, NASDAQ OMX BX and BATS Exchange all declared self-help against NYSE Arca.[2]
SEC Chairwoman Mary Schapiro testified that "stub quotes" may have played a role in certain stocks that traded for 1 cent a share.[80] According to Schapiro:
The absurd result of valuable stocks being executed for a penny likely was attributable to the use of a practice called "stub quoting." When a market order is submitted for a stock, if available liquidity has already been taken out, the market order will seek the next available liquidity, regardless of price. When a market maker’s liquidity has been exhausted, or if it is unwilling to provide liquidity, it may at that time submit what is called a stub quote—for example, an offer to buy a given stock at a penny. A stub quote is essentially a place holder quote because that quote would never—it is thought—be reached. When a market order is seeking liquidity and the only liquidity available is a penny-priced stub quote, the market order, by its terms, will execute against the stub quote. In this respect, automated trading systems will follow their coded logic regardless of outcome, while human involvement likely would have prevented these orders from executing at absurd prices. As noted below, we are reviewing the practice of displaying stub quotes that are never intended to be executed.[81]
Trading curb[edit]
Officials announced that new trading curbs, also known as circuit breakers, would be tested during a six-month trial period ending on December 10, 2010. These circuit breakers would halt trading for five minutes on any S&P 500 stock that rises or falls more than 10 percent in a five-minute period.[82][83] The circuit breakers would only be installed to the 404 New York Stock Exchange listed S&P 500 stocks. The first circuit breakers were installed to only 5 of the S&P 500 companies on Friday, June 11, to experiment with the circuit breakers. The five stocks were EOG Resources, Genuine Parts, Harley Davidson, Ryder System and Zimmer Holdings. By Monday, June 14, 44 had them. By Tuesday, June 15, the number had grown to 223, and by Wednesday, June 16, all 404 companies had circuit breakers installed.[84] On June 16, 2010, trading in the Washington Post Company's shares were halted for five minutes after it became the first stock to trigger the new circuit breakers. Three erroneous NYSE Arca trades were said to have been the cause of the share price jump.[85]
As of September 10, the SEC approved new rules submitted by the national securities exchanges and the Financial Industry Regulatory Authority (FINRA) to expand the circuit breaker program to include all stocks in the Russell 1000 Index and certain exchange-traded funds. The SEC also approved new exchange and FINRA rules that clarify the process for breaking erroneous trades. A list of the securities included in the Russell 1000 Index, which was rebalanced on June 25, is available on the Russell website. The list of exchange-traded products included in the pilot is available on the SEC's website. The SEC anticipates that the exchanges and FINRA will begin implementing the expanded circuit breaker program early next week. The erroneous trade rules were developed in response to the market disruption of May 6. The rules will make it clearer when—and at what price—trades will be broken by the exchanges and FINRA. As with the circuit breaker program, these rules will be in effect on a pilot basis through December 10, 2010.
For stocks that are subject to the circuit breaker program, trades will be broken at specified levels depending on the stock price:
For stocks priced $25 or less, trades will be broken if the trades are at least 10 percent away from the circuit breaker trigger price.
For stocks priced between $25 and $50, trades will be broken if they are 5 percent away from the circuit breaker trigger price.
For stocks priced more than $50, the trades will be broken if they are 3 percent away from the circuit breaker trigger price.
Where circuit breakers are not applicable, the exchanges and FINRA will break trades at specified levels for events involving multiple stocks depending on how many stocks are involved:
For events involving between five and 20 stocks, trades will be broken that are at least 10 percent away from the "reference price", typically the last sale before pricing was disrupted.
For events involving more than 20 stocks, trades will be broken that are at least 30 percent away from the reference price.
On May 6, the markets only broke trades that were more than 60 percent away from the reference price in a process that was not transparent to market participants. A list of 'winners' and 'losers' created by this arbitrary measure has never been made public. By establishing clear and transparent standards for breaking erroneous trades, the new rules should help provide certainty in advance as to which trades will be broken, and allow market participants to better manage their risks.[86]
In a 2011 article that appeared on the Wall Street Journal on the eve of the anniversary of the 2010 "flash crash", it reported high-frequency traders are now less active in the stock market. In a separate article in the journal, it described trades by high-frequency traders has decreased to 53% of stock-market trading volume, from 61% in 2009.[87] Former Delaware senator Edward E. Kaufman and Michigan senator Carl Levin published a 2011 op-ed in The New York Times a year after the Flash Crash, sharply critical of what they perceive to be the SEC's apparent lack of action to prevent a recurrence.[88]
In 2011 high-frequency traders moved away from the stock market as there had been lower volatility and volume. The combined average daily trading volume in the New York Stock Exchange and Nasdaq Stock Market in the first four months of 2011 fell 15% from 2010, to an average of 6.3 billion shares a day. Trading activities declined throughout 2011, with April's daily average of 5.8 billion shares marking the lowest month since May 2008. Decrease of sharp movements in stock prices which were frequent during the period from 2008 to the first half of 2010, were in a decline in the Chicago Board Options Exchange volatility index, the VIX, which fell to its lowest level in April 2011 since July 2007.[89]
These volumes of trading activity in 2011, to some degree, were regarded as more natural levels than during the financial crisis and its aftermath. Some argued that those lofty levels of trading activity were never an accurate picture of demand among investors. It was a reflection of computer-driven traders passing securities back and forth between day-trading hedge funds. The flash crash exposed this phantom liquidity. In 2011 high-frequency trading firms became increasingly active in markets like futures and currencies, where volatility remains high.[89]
In 2011 trades by high-frequency traders accounted for 28% of the total volume in the futures markets, which included currencies and commodities, an increase from 22% in 2009. However, the growth of computerized and high-frequency trading in commodities and currencies coincided with a series of "flash crashes" in those markets. The role of human market makers, who match buyers and sellers and provide liquidity to the market, was more and more played by computer programs. If those program traders pulled back from the market, then big "buy" or "sell" orders could have led to sudden, big swings. It would have increased the probability of surprise distortions same as the equity markets, according to a professional investor.[citation needed] In February 2011, the sugar market took a dive of 6% in just one second. On March 1, 2011, Cocoa-futures prices dropped 13% in less than a minute on the Intercontinental Exchange. Cocoa plunged $450 to a low of $3,217 a metric ton before rebounding quickly. The U.S. dollar tumbled against the yen on March 16, 2011, falling 5% in minutes, one of its biggest moves ever. According to a former cocoa trader: ' "The electronic platform is too fast; it doesn't slow things down" like humans would. '[87]
In July 2012, the SEC launched an initiative to create a new market surveillance tool known as the "Consolidated Audit Trail".[90] By April 2015, despite support for the CAT from SEC Chair Mary Jo White and members of Congress, work to finish the project continued to face delays.[91]
On August 1, 2012, a "technology breakdown" at Knight Capital Group caused a major disruption in the trade of about 140 stocks.[92]
The episode provided the background for American author Edgar Perez's non-fiction thriller Knightmare on Wall Street[93] and British author Robert Harris' 2011 novel, The Fear Index.
See also[edit]
List of largest daily changes in the Dow Jones Industrial Average
High-frequency trading
Algorithmic trading
References[edit]
Jump up ^ Interactive Intraday Chart of the SP500 Index on May 6, 2010, University of Toronto, 5-6-2010
^ Jump up to: a b c Phillips, Matt (May 11, 2010), "Nasdaq: Here’s Our Timeline of the Flash Crash", Wall Street Journal
^ Jump up to: a b c d Bates, John (April 24, 2015), "Post Flash Crash, Regulators Still Use Bicycles To Catch Ferraris: Blaming the Flash Crash on a UK man who lives with his parents is like blaming lightening for starting a fire", Traders Magazine Online News, retrieved April 25, 2014
^ Jump up to: a b c d e f g Kirilenko, Andrei; Kyle, Albert S.; Samadi, Mehrdad; Tuzun, Tugkan (May 5, 2014), The Flash Crash: The Impact of High Frequency Trading on an Electronic Market (PDF), retrieved 24 April 2015
^ Jump up to: a b Whitman, Jane (May 7, 2010), "The markets' wild ride", Montreal Gazette, retrieved May 9, 2010
Jump up ^ Lin, Tom C. W. (2013), "The New Investor 60", UCLA Law Review, 678, SSRN 2227498
^ Jump up to: a b Lauricella, Tom; McKay, Peter A. (May 7, 2010). "Dow Takes a Harrowing 1,010.14-Point Trip". The Wall Street Journal. Archived from the original on May 9, 2010. Retrieved May 9, 2010.
^ Jump up to: a b Twin, Alexandra (May 6, 2010). "Glitches send Dow on wild ride". CNN Money. Archived from the original on May 9, 2010. Retrieved 8 May 2010.
^ Jump up to: a b c Weinberg, Ari I. (6 December 2015). "Should You Fear the ETF? ETFs are scaring regulators and investors: Here are the dangers—real and perceived". Wall Street Journal. Retrieved 7 December 2015.
^ Jump up to: a b c d e f g Brush, Silla; Schoenberg, Tom; Ring, Suzi (April 22, 2015), "How a Mystery Trader with an Algorithm May Have Caused the Flash Crash", Bloomberg News, retrieved 25 April 2015
Jump up ^ Aldridge, Irene, High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems, 2nd ed.
Jump up ^ Aldridge, Irene (July 8, 2015), Traders Data: What Happens During Flash Crashes?
Jump up ^ Lauricella, Tom (May 7, 2010). "Market Plunge Baffles Wall Street—Trading Glitch Suspected in 'Mayhem' as Dow Falls Nearly 1,000, Then Bounces". The Wall Street Journal.
Jump up ^ "Proposed Rule: Regulation NMS; Release No. 34-50870; File No. S7-10-04". sec.gov. Retrieved August 22, 2015.
Jump up ^ Joel Seligman, Rethinking Securities Markets, The Business Lawyer, Vol. 57, Feb. 2002
Jump up ^ Hans R. Stoll, Electronic Trading in Stock Markets, Journal of Economic Perspectives Vol. 20, No. 1, p.171
Jump up ^ https://www.nytimes.com/2010/09/21/business/economy/21flash.html New York Time article on the investigation
Jump up ^ https://www.sec.gov/news/speech/2010/spch101310geb.htm Berman's speech on how he led the investigation
^ Jump up to: a b c d e U.S. Securities and Exchange Commission and the Commodity Futures Trading Commission (September 30, 2010). "Findings Regarding the Market Events of May 6, 2010" (PDF). Archived (PDF) from the original on October 10, 2010. Retrieved 2 October 2010. CS1 maint: Uses authors parameter (link)
^ Jump up to: a b c d e f g h i Lauricella, Tom (October 2, 2010). "How a Trading Algorithm Went Awry". The Wall Street Journal. Archived from the original on October 21, 2010. Retrieved 28 October 2010.
^ Jump up to: a b c d e Mehta, Nina (October 1, 2010). "Automatic Futures Trade Drove May Stock Crash, Report Says". Bloomberg. Archived from the original on October 4, 2010. Retrieved 29 October 2010.
^ Jump up to: a b c d e f g Bowley, Graham (Oct 1, 2010). "Lone $4.1 Billion Sale Led to ‘Flash Crash’ in May". The New York Times. Retrieved 28 October 2010.
^ Jump up to: a b c d e f Spicer, Jonathan (Oct 1, 2010). "Single U.S. trade helped spark May's flash crash". Reuters. Retrieved 29 October 2010.
Jump up ^ Goldfarb, Zachary (Oct 1, 2010). "Report examines May's 'flash crash,' expresses concern over high-speed trading". Washington Post. Retrieved 2 November 2010.
Jump up ^ Popper, Nathaniel (October 1, 2010). "$4.1-billion trade set off Wall Street 'flash crash,' report finds". Los Angeles Times. Archived from the original on November 10, 2010. Retrieved 2 November 2010.
Jump up ^ Younglai, Rachelle (October 5, 2010). "U.S. probes computer algorithms after "flash crash"". Reuters. Archived from the original on October 8, 2010. Retrieved 2 November 2010.
Jump up ^ Spicer, Jonathan (October 15, 2010). "Special report: Globally, the flash crash is no flash in the pan". Reuters. Archived from the original on October 18, 2010. Retrieved 2 November 2010.
Jump up ^ Peterson, Kristina (Oct 1, 2010). "Flash Crash Report: Market 'Internalizers' Pressured Exchanges". MarketWatch. Retrieved 29 October 2010.
Jump up ^ MarketBeat (Oct 1, 2010). "MarketBeat Word of the Day: Internalizer!". Wall Street Journal. Retrieved 29 October 2010.
Jump up ^ Mehta, Nina (October 4, 2010). "Trades Dumped on Exchanges Blamed for Intensifying May 6 Crash". Bloomberg. Archived from the original on October 7, 2010. Retrieved 5 November 2010.
Jump up ^ CME Group (May 18, 2010). "What happened on May 6th?". Retrieved 25 August 2010.
Jump up ^ Phillips, Matt (May 7, 2010). "Accenture’s Flash Crash: What’s an "Intermarket Sweep Order"". WSJ.
Jump up ^ Jonathan Chevreau (May 7, 2010). "P&G error started rout but money managers expect "slow but upwards equity markets to continue" - Financial Post". Financial Post.
Jump up ^ "Chicago Sun-Times – Chicago : News : Politics : Things To Do : Sports". Chicago. Retrieved August 22, 2015.
Jump up ^ Phillips, Matt (May 20, 2010). "SEC's Schapiro: Here's My Timeline of the Flash Crash". The Wall Street Journal. Archived from the original on June 18, 2010. Retrieved 30 May 2010.
Jump up ^ "What went wrong with US futures on Thursday? : Detailed News | 12 May 2010". commodityonline.com. Retrieved October 1, 2010.
Jump up ^ Technical Committee of the International Organization of Securities Commissions (July 2011), "Regulatory Issues Raised by the Impact of Technological Changes on Market Integrity and Efficiency" (PDF), IOSCO Technical Committee, retrieved July 12, 2011
Jump up ^ Huw Jones (July 7, 2011). "Ultra fast trading needs curbs -global regulators". Reuters. Retrieved July 12, 2011.
^ Jump up to: a b c Bowley, Graham (August 22, 2010). "Stock Swing Still Baffles, Ominously". The New York Times.
^ Jump up to: a b Madrigal, Alexis (August 6, 2010). "Explaining Bizarre Robot Stock Trader Behavior". The Atlantic. Archived from the original on August 17, 2010. Retrieved 26 August 2010.
Jump up ^ "Flash crash probe plays down quote-stuffing". Financial Times. September 4, 2010. Archived from the original on September 4, 2010. Retrieved 4 September 2010.
Jump up ^ Michael Corkery, The Wall Street Journal, September 13, 2010, High Frequency Traders Saved the Day
Jump up ^ Did a Big Bet Help Trigger 'Black Swan' Stock Swoon?, Wall Street Journal, May 11, 2010
Jump up ^ Was The Market Mayhem A Mistake? Maybe Not., Liz Moyer, Forbes.com
Jump up ^ "'Flash Crash' Report: Waddell & Reed's $4.1 Billion Trade Blamed For Market Plunge". The Huffington Post. October 1, 2010.
Jump up ^ The Yen Did It?, by Bruce Krasting, seekingalpha.com
Jump up ^ Flood, Joe (August 24, 2010). "NYSE Confirms Price Reporting Delays That Contributed to the Flash Crash". Archived from the original on August 27, 2010. Retrieved August 25, 2010.
Jump up ^ Analysis of the "Flash Crash", Nanex, June 18, 2010
Jump up ^ CME statement on the SEC-CFT Report on the Flash Crash http://investor.cmegroup.com/investor-relations/releasedetail.cfm?ReleaseID=513388. Accessed 2013-06-30. Archived 2013-07-05.
Jump up ^ Leinweber, D. (2011): "Avoiding a Billion Dollar Federal Financial Technology Rat Hole", The Journal of Portfolio Management, Spring 2011, Vol. 37, No. 3: pp. 1–2
Jump up ^ NANEX criticism of the CFTC report on the Flash Crash http://www.nanex.net/FlashCrashFinal/FlashCrashAnalysis_WR_Update.html. Accessed 2013-06-30. Archived 2013-07-05.
^ Jump up to: a b c d e "Easley, D., M. López de Prado, M. O'Hara: The Microstructure of the ‘Flash Crash’: Flow Toxicity, Liquidity Crashes and the Probability of Informed Trading", The Journal of Portfolio Management, Vol. 37, No. 2, pp. 118–128, Winter, 2011, SSRN 1695041
^ Jump up to: a b c Vuorenmaa, Tommi; Wang, Liang (October 2013), "An Agent-Based Model of the Flash Crash of May 6, 2010, with Policy Implications", VALO Research and University of Helsinki, SSRN 2336772
Jump up ^ Andersen, Torben G. and Bondarenko, Oleg, VPIN and the Flash Crash. Journal of Financial Markets, forthcoming. Available at SSRN: http://ssrn.com/abstract=1881731
^ Jump up to: a b Andersen, Torben G. and Bondarenko, Oleg, Reflecting on the VPIN Dispute. Journal of Financial Markets, forthcoming. Available at SSRN: http://ssrn.com/abstract=2305905
Jump up ^ Andersen, Torben G. and Bondarenko, Oleg, Assessing VPIN Measurement of Order Flow Toxicity via Perfect Trade Classification (May 10, 2013). Available at SSRN: http://ssrn.com/abstract=2292602
Jump up ^ Easley, D., M. Lopez de Prado, and M. O'Hara, The Exchange of Flow Toxicity (January 17, 2011). The Journal of Trading, Vol. 6, No. 2, pp. 8-13, Spring 2011; Available at SSRN: http://ssrn.com/abstract=1748633
Jump up ^ Easley, David and Lopez de Prado, Marcos and O'Hara, Maureen, Flow Toxicity and Volatility in a High Frequency World. Working paper, SSRN, February 2011.
Jump up ^ "Easley, D., M. Lopez de Prado and M. O'Hara: Flow Toxicity and Liquidity in a High Frequency World", Review of Financial Studies, 2012, SSRN 1695596
Jump up ^ Mehta, Nina (October 30, 2010). "‘Toxic’ Orders Predict Odds of Stock Market Crashes, Study Says". Bloomberg. Retrieved 12 July 2011.
Jump up ^ http://ssrn.com/abstract=1939522 Federal Market Information Technology in the Post Flash Crash Era: Roles for Supercomputing
Jump up ^ Kirilenko, A., Kyle, A., Samadi, M. Tuzun, T.: The Flash Crash: The Impact of High Frequency Trading on an Electronic Market, 2011, SSRN 1686004
Jump up ^ Majdandzic, A.; et al. (2013). "Spontaneous recovery in dynamical networks". Nature Physics. doi:10.1038/nphys2819. Comment on flash crashes (part E): http://www.nature.com/nphys/journal/v10/n1/extref/nphys2819-s1.pdf
Jump up ^ "The trader blamed for the 'flash crash' tried to blow the whistle on other traders". Business Insider Australia. May 15, 2015. Retrieved Dec 30, 2015.
Jump up ^ Douwe Miedema; Sarah N. Lynch (April 21, 2015). "UK speed trader arrested over role in 2010 'flash crash'". Reuters. Retrieved April 22, 2015.
Jump up ^ "Futures Trader Charged with Illegally Manipulating Stock Market, Contributing to the May 2010 Market ‘Flash Crash’".
Jump up ^ Bray, Chad (14 August 2015). "British Trader Charged in ‘Flash Crash’ Released After Bail Reduction". DealBook. Retrieved 17 August 2015.
Jump up ^ "British Wall Street ‘flash crash’ trader granted bail". Dispatch Times. 17 August 2015. Retrieved 17 August 2015.
Jump up ^ Stafford, Philip; Fortado, Lindsay; Croft, Jane (17 August 2015). "Navinder Singh Sarao: reclusive trader or criminal mastermind?". Financial Times. Retrieved 17 August 2015.
Jump up ^ Dakers, Marion; Bradshaw, Julia (14 August 2015). "Flash crash trader Navinder Singh Sarao bailed after declaring £25.5m in Swiss account". London: The Telegraph. Retrieved 17 August 2015.
Jump up ^ "The flash crash trader Navinder Singh Sarao returns to London cell ahead of extradition fight". 20 August 2017. Retrieved 20 August 2017.
Jump up ^ "Lotfi Raissi case: How false link to al-Qaida kept innocent Algerian in jail". 20 August 2017. Retrieved 20 August 2017.
Jump up ^ SEC Chairman Admits: We’re Outgunned By Market Supercomputers, Wall Street Journal, wsj.com
Jump up ^ SEC Testimony Concerning the Severe Market Disruption on May 6, 2010, SEC, May 11, 2010 (pdf)
Jump up ^ Senators Seek Regulators' Report On Causes Of Market Volatility, Wall Street Journal, May 7, 2010
Jump up ^ Grocer, Stephen (May 6, 2010). "Six Mega Drops of the Flash Crash; Sam Adams Goes Flat". The Wall Street Journal. Dow Jones. Archived from the original on May 8, 2010. Retrieved May 6, 2010.
Jump up ^ "Dow average sees biggest fall in 15 months". The Christian Science Monitor. Archived from the original on May 24, 2010. Retrieved 21 May 2010.
Jump up ^ "CNBC Live - 2010 Flash Crash at its Height". youtube.com.
Jump up ^ "Live Blogging the Flash Crash Hearings". WSJ.
Jump up ^ Accenture for a Penny: MarketBeat’s Investigation Continues!, Wall Street Journal, by Matt Phillips, May 12, 2010, 3:01 p.m. ET
Jump up ^ Testimony Concerning the Severe Market Disruption on May 6, 2010, Mary Schapiro
Jump up ^ Six-month test period for US trading curbs-sources, Reuters, 5-18-2010
Jump up ^ Rules to Limit Stock Trading Amid Market Volatility, nytimes.com, by Edward Wyatt, 5-18-2010
Jump up ^ CNBC.com NYSE Says Circuit Breaker Will Be Finished Next Week
Jump up ^ "Washington Post Co. stock first to trigger SEC's new circuit breakers". washingtonpost.com. June 17, 2010.
Jump up ^ "SEC Approves Rules Expanding Stock-by-Stock Circuit Breakers and Clarifying Process for Breaking Erroneous Trades". sec.gov. September 10, 2010.
^ Jump up to: a b Carolyn Cui; Tom Lauricella (May 5, 2011). "Mini 'Crashes' Hit Commodity Trade". The Wall Street Journal. Retrieved 7 May 2011.
Jump up ^ Edward E. Kaufman; Carl Levin (May 6, 2011). "Preventing the Next Flash Crash". The New York Times. Retrieved 13 July 2011.
^ Jump up to: a b Tom Lauricella (May 5, 2011). "Traders Exit High-Speed Lane". The Wall Street Journal. Retrieved 7 May 2011.
Jump up ^ "SEC Approves New Rule Requiring Consolidated Audit Trail to Monitor and Analyze Trading Activity". www.sec.gov. Retrieved April 12, 2015.
Jump up ^ Sporkin, Thomas (April 10, 2015). "Letting the CAT Out of the Bag". Waters Technology. Retrieved April 12, 2015.
Jump up ^ Caroline Vatetkevitch; Chuck Mikolajczak (August 1, 2012). "Error by Knight Capital rips through stock market". Reuters.
Jump up ^ "Knightmare on Wall Street".
External links[edit]
Interactive Intraday Chart of the SP500 Index on May 6, 2010, University of Toronto, May 6, 2010
Preliminary Findings Regarding the Market Events of May 6, 2010, Report of the staffs of the CFTC and SEC to the Joint Advisory Committee on Emerging Regulatory Issues, May 18, 2010
Findings Regarding the Market Events of May 6, 2010, Report of the staffs of the CFTC and SEC to the Joint Advisory Committee on Emerging Regulatory Issues, September 30, 2010
The Microstructure of the ‘Flash Crash’: Flow Toxicity, Liquidity Crashes and the Probability of Informed Trading, David Easley (Cornell University), Marcos López de Prado (Tudor Investment Corp., RCC at Harvard University) and Maureen O'Hara (Cornell University), The Journal of Portfolio Management, Vol. 37, No. 2, pp. 118–128, Winter 2011
The Flash Crash: The Impact of High Frequency Trading on an Electronic Market, Andrei A. Kirilenko (Commodity Futures Trading Commission) Albert S. Kyle (University of Maryland; National Bureau of Economic Research (NBER)) Mehrdad Samadi (Commodity Futures Trading Commission) Tugkan Tuzun (University of Maryland—Robert H. Smith School of Business), October 1, 2010
Regulatory Issues Raised by the Impact of Technological Changes on Market Integrity and Efficiency, Technical Committee of the International Organization of Securities Commissions, July, 2011
An Agent-Based Model of the Flash Crash of May 6, 2010, with Policy Implications, Tommi A. Vuorenmaa (Valo Research and Trading), Liang Wang (University of Helsinki – Department of Computer Science), October, 2013
SEC Regulation NMS (Final Rule)
17 CFR 242.606 - Disclosure of order routing information
SEC FAQs re Reg NMS Rule 610 and 611 - April 4, 2008 Update
SEC FAQs re Reg NMS Rule 610 and 611
Reg NMS Marketing Fact Sheet, from Nasdaq
SEC Release Regarding the Proposed Rule
Reg NMS - Securities Lawyer's Deskbook by The University of Cincinnati College of Law
[hide]
v
t
e
Great Recession
By region
Africa
Americas
United States
South America
Asia
Europe
Oceania
United States-specific
Automotive industry crisis
California budget crisis
Housing bubble
Housing market correction
Subprime mortgage crisis
Banking losses and fraud
Anglo Irish Bank hidden loans controversy
Libor scandal
Tom Hayes
Société Générale trading loss
Forex scandal
Seán FitzPatrick
Bernard Madoff
Tom Petters
Scott W. Rothstein
Allen Stanford
Government entities
Consumer Financial Protection Bureau
Federal Deposit Insurance Corporation
Federal Home Loan Banks
Federal Housing Administration
Federal Housing Finance Agency
Federal Housing Finance Board
Federal Reserve System
Government National Mortgage Association
Irish Bank Resolution Corporation
National Asset Management Agency
Office of Federal Housing Enterprise Oversight
Office of Financial Stability
UK Financial Investments
[show]
Government policy and spending responses
Banking and finance
stability and reform
Anglo Irish Bank Corporation Act 2009
Banking (Special Provisions) Act 2008
China–Japan–South Korea trilateral summit
Commercial Paper Funding Facility
Dodd–Frank Wall Street Reform and Consumer Protection Act
Emergency Economic Stabilization Act of 2008
Irish emergency budget, 2009
Irish budget, 2010
Irish budget, 2011
Irish budget, 2012
Irish budget, 2013
Temporary Liquidity Guarantee Program
Term Asset-Backed Securities Loan Facility
Troubled Asset Relief Program
2008 United Kingdom bank rescue package
Bank stress tests
EU
U.S.
Stimulus and recovery
2008 European Union stimulus plan
2008–09 Keynesian resurgence
American Recovery and Reinvestment Act of 2009
Chinese economic stimulus program
Economic Stimulus Act of 2008
Fraud Enforcement and Recovery Act of 2009
Green New Deal
Housing and Economic Recovery Act of 2008
National fiscal policy response to the Great Recession
Zero interest-rate policy
Government interventions,
rescues, and acquisitions
List of banks acquired or bankrupted during the Great Recession
Non-banking
Chrysler
General Motors
Securities involved
and financial markets
Auction rate securities
Collateralized debt obligations
Collateralized mortgage obligations
Credit default swaps
Mortgage-backed securities
Secondary mortgage market
Social responses
Tea Party protests (United States; c. 2009)
May Day protests (Europe, Middle East and North Africa, Asia; 2009)
Occupy movement (worldwide)
Related topics
2000s energy crisis
Central Asia: 2008
Effects on museums
Decline of newspapers
World food price crisis
European debt crisis
Financial crisis of 2007–08
List of countries by public debt
[show]
v
t
e
U.S. subprime mortgage crisis
Background / timeline
Background information
Impact timeline
Causes
United States housing bubble / housing market correction
Role of credit rating agencies
Government policies
Impacts
Financial crisis of 2007–08
Great Recession
Writedowns
Indirect economic effects
Responses
Economic Stimulus Act of 2008
Housing and Economic Recovery Act of 2008
Emergency Economic Stabilization Act of 2008
Dodd–Frank Wall Street Reform and Consumer Protection Act
Acquired or bankrupt banks in the late 2000s financial crisis
Capital Assistance Program
Capital Purchase Program
Federal Reserve responses
Federal takeover of Fannie Mae and Freddie Mac
Government intervention
Homeowners Affordability and Stability Plan
Hope Now Alliance
Loan modification
Public–Private Investment Program for Legacy Assets
Regulatory responses
Primary Dealer Credit Facility
2009 Supervisory Capital Assessment Program
Tea Party protests
Term Asset-Backed Securities Loan Facility
Troubled Asset Relief Program
Wall Street reform
Related topics
Error accounts
Financial position of the United States
Foreclosure rescue scheme
Property derivatives
[show]
v
t
e
Stock market crashes
17th century
Early stock market crashes in the Dutch Republic
18th century
The Mississippi Bubble
South Sea Bubble of 1720
Panic of 1792
Panic of 1796–97
19th century
Panic of 1819
Panic of 1825
Panic of 1837
Panic of 1847
Panic of 1857
Black Friday (1869)
Panic of 1873
Paris Bourse crash of 1882
Panic of 1884
Encilhamento
Panic of 1893
Panic of 1896
20th century
Panic of 1901
Panic of 1907
Depression of 1920–21
Wall Street Crash of 1929
Recession of 1937–38
1971 Brazilian markets crash
1973–74 stock market crash
Souk Al-Manakh stock market crash (1982)
Japanese asset price bubble (1986–1991)
Black Monday (1987)
Rio de Janeiro Stock Exchange collapse
Friday the 13th mini-crash (1989)
1990s Japanese stock market crash
Dot-com bubble (1995–2000)
1997 Asian financial crisis
October 27, 1997, mini-crash
1998 Russian financial crisis
21st century
Economic effects arising from the September 11 attacks (2001)
Stock market downturn of 2002
Chinese stock bubble of 2007
United States bear market of 2007–09
Financial crisis of 2007–08
Dubai debt standstill
European debt crisis
2010 Flash Crash
2011 Tōhoku earthquake and tsunami (Aftermath)
August 2011 stock markets fall
2011 Bangladesh share market scam
2015–16 Chinese stock market turbulence
2015–16 stock market crash
2016 United Kingdom EU referendum (Aftermath)
See also: List of stock market crashes and bear markets
[show]
v
t
e
Banking panics in the United States
1792
1796–97
1819
1825
1837
1847
1857
1866
1873
1884
1890 (Baring crisis)
1893
1896
1901
1907
1910-11
1929
2007–08
Retrieved from "https://en.wikipedia.org/w/index.php?title=2010_Flash_Crash&oldid=799592600"
Categories:
2010 in economics
2010 in the United States
Great Recession in the United States
Stock market crashes
2010s economic history
Systemic risk
Algorithmic trading
Hidden categories:
CS1 maint: Uses authors parameter
Use mdy dates from March 2012
All articles with unsourced statements
Articles with unsourced statements from April 2015
All accuracy disputes
Articles with disputed statements from April 2017
Citation overkill
Articles tagged with the inline citation overkill template from July 2017
Articles with unsourced statements from September 2013
Navigation menu
Personal tools
Not logged in
Talk
Contributions
Create account
Log in
Namespaces
Article
Talk
Variants
Views
Read
Edit
View history
More
Search
Navigation
Main page
Contents
Featured content
Current events
Random article
Donate to Wikipedia
Wikipedia store
Interaction
Help
About Wikipedia
Community portal
Recent changes
Contact page
Tools
What links here
Related changes
Upload file
Special pages
Permanent link
Page information
Wikidata item
Cite this page
Print/export
Create a book
Download as PDF
Printable version
Languages
Deutsch
Español
Français
Italiano
Norsk
Edit links
This page was last edited on 8 September 2017, at 17:16.
Text is available under the Creative Commons Attribution-ShareAlike License; additional terms may apply. By using this site, you agree to the Terms of Use and Privacy Policy. Wikipedia® is a registered trademark of the Wikimedia Foundation, Inc., a non-profit organization.
Privacy policy
About Wikipedia
Disclaimers
Contact Wikipedia
Developers
Cookie statement
Mobile view

values: mw-page-base noprint

values: mw-head-base noprint

attrs: id class style

values: firstHeading firstHeading en

values: siteSub noprint

values: jump-to-nav mw-jump

value: sup

attrs: class style

values: reference white-space:nowrap;

values:
/wiki/Wall_Street_Journal
mw-redirect
Wall Street Journal

values:
/wiki/E-Mini_S%26P
mw-redirect
E-Mini S&P

values:
/wiki/Equity_securities
mw-redirect
Equity securities

values: United States Securities and Exchange Commission

values: This claim needs references to reliable sources. (April 2015)

values:
noprint Inline-Template Template-Fact
white-space:nowrap;

values: This claim has reliable sources with contradicting facts (April 2017)

values:
/wiki/Wikipedia:Disputed_statement
mw-redirect
Wikipedia:Disputed statement

values: Edit section: SEC/CFTC Report on May 6, 2010

values: This claim has too many footnotes for reading to be smooth. (July 2017)

values:
/wiki/Bid-ask_spread
mw-redirect
Bid-ask spread

values: Edit section: Criticism of the SEC-CFTC report

values: width:22em;width: 225px; float: right; clear: right; margin:0 0 1.0em 1.0em

values: Marcos Lopez de Prado (page does not exist)

values: Edit section: Evidence of market manipulation and arrest

values: width: 20px; vertical-align: top; border: none; color: #B2B7F2; font-size: 40px; font-family: 'Times New Roman', Times, serif; font-weight: bold; line-height: .6em; text-align: left; padding: 10px 10px;

values: vertical-align: top; border: none; padding: 4px 10px;

values: width: 20px; vertical-align: bottom; border: none; color: #B2B7F2; font-size: 40px; font-family: 'Times New Roman', Times, serif; font-weight: bold; line-height: .6em; text-align: right; padding: 10px 10px;

values: margin:auto; border-collapse: collapse; border: none; background-color: transparent; width: auto;

values: Who?date=September 2013 (September 2013)

values:
nofollow
external text
//ssrn.com/abstract=2227498

values: Category:CS1 maint: Uses authors parameter

values: IOSCO Technical Committee (page does not exist)

values:
nofollow
external text
//ssrn.com/abstract=1695041

values:
nofollow
external text
//ssrn.com/abstract=2336772

values:
nofollow
external free
http://ssrn.com/abstract=1881731

values:
nofollow
external free
http://ssrn.com/abstract=2305905

values:
nofollow
external free
http://ssrn.com/abstract=2292602

values:
nofollow
external free
http://ssrn.com/abstract=1748633

values:
nofollow
external text
//ssrn.com/abstract=1695596

values:
nofollow
external free
http://ssrn.com/abstract=1939522

values:
nofollow
external text
//ssrn.com/abstract=1686004

values:
nofollow
external text
//doi.org/10.1038%2Fnphys2819

values:
/wiki/Business_Insider_Australia
mw-redirect
Business Insider Australia

values:
nofollow
external text
https://www.cnbc.com/id/37626222

values:
nofollow
external text
http://knightmareonwallstreet.com

values: -moz-column-width: 30em; -webkit-column-width: 30em; column-width: 30em; list-style-type: decimal;

values:
nofollow
external text
http://ssrn.com/abstract=1695041

values:
nofollow
external text
http://ssrn.com/abstract=2336772

values:
nofollow
http://www.law.uc.edu/CCL/regNMS/
external text

values: Anglo Irish Bank hidden loans controversy

values: Government National Mortgage Association

values: Office of Federal Housing Enterprise Oversight

values: Assistant Secretary of the Treasury for Financial Stability

values: China–Japan–South Korea trilateral summit

values: Emergency Economic Stabilization Act of 2008

values: Term Asset-Backed Securities Loan Facility

values: 2009 Supervisory Capital Assessment Program

values: American Recovery and Reinvestment Act of 2009

values: Fraud Enforcement and Recovery Act of 2009

values: Housing and Economic Recovery Act of 2008

values: nowraplinks collapsible autocollapse navbox-subgroup

values: Effects of the Great Recession on museums

values: nowraplinks hlist collapsible expanded navbox-inner

values: Credit rating agencies and the subprime crisis

values: Government policies and the subprime mortgage crisis

values: List of writedowns due to subprime crisis

values: Indirect economic effects of the subprime mortgage crisis

values: Federal Reserve responses to the subprime crisis

values: Federal takeover of Fannie Mae and Freddie Mac

values: Government intervention during the subprime mortgage crisis

values: Homeowners Affordability and Stability Plan

values: Regulatory responses to the subprime crisis

values: nowraplinks collapsible autocollapse navbox-inner

values:
/wiki/1971_Brazilian_markets_crash
mw-redirect
1971 Brazilian markets crash

values: Aftermath of the 2011 Tōhoku earthquake and tsunami

values:
/wiki/2015_stock_market_selloff
mw-redirect
2015 stock market selloff

values: Aftermath of the United Kingdom European Union membership referendum, 2016

values: List of stock market crashes and bear markets

values: Category:Great Recession in the United States

values: Category:All articles with unsourced statements

values: Category:Articles with unsourced statements from April 2015

values: Category:Articles with disputed statements from April 2017

values: Category:Articles tagged with the inline citation overkill template from July 2017

values: Category:Articles with unsourced statements from September 2013

values: Discussion about edits from this IP address [ctrl-alt-n]

values: A list of edits made from this IP address [ctrl-alt-y]

values: You are encouraged to create an account and log in; however, it is not mandatory

values: You're encouraged to log in; however, it's not mandatory. [ctrl-alt-o]

values:
/wiki/2010_Flash_Crash
View the content page [ctrl-alt-c]
c

values: Discussion about the content page [ctrl-alt-t]

values: p-namespaces navigation vectorTabs p-namespaces-label

values: About the project, what you can do, where to find things

values: A list of recent changes in the wiki [ctrl-alt-r]

values: portal navigation p-interaction p-interaction-label

values: List of all English Wikipedia pages containing links to this page [ctrl-alt-j]

values: Recent changes in pages linked from this page [ctrl-alt-k]

values:
/wiki/Wikipedia:File_Upload_Wizard
Upload files [ctrl-alt-u]
u

values: A list of all special pages [ctrl-alt-q]

values: Permanent link to this revision of the page

values: Link to connected data repository item [ctrl-alt-g]

values: Printable version of this page [ctrl-alt-p]

values:
uls-settings-trigger
Language settings
0
button
true

values: /static/images/wikimedia-button-1.5x.png 1.5x, /static/images/wikimedia-button-2x.png 2x

values: /static/images/poweredby_mediawiki_132x47.png 1.5x, /static/images/poweredby_mediawiki_176x62.png 2x

values: mediawiki ltr sitedir-ltr mw-hide-empty-elt ns-0 ns-subject page-2010_Flash_Crash rootpage-2010_Flash_Crash skin-vector action-view