Early theories At first, while the regulatory agencies and the United States Congress announced investigations into the crash, no specific reason for the 600-point plunge was identified. Investigators focused on a number of possible causes, including a confluence of computer-automated trades, or possibly an error by human traders. By the first weekend, regulators had discounted the possibility of trader error and focused on automated trades conducted on exchanges other than the
NYSE. However,
CME Group, a large
futures exchange, stated that, insofar as stock index futures traded on CME Group were concerned, its investigation found no evidence for this, or 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. Others speculate that an
intermarket sweep order may have played a role in triggering the crash. Several plausible theories were put forward to explain the plunge. •
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. 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. •
Impact of high frequency traders: 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. 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 not publicly known, some experts speculate that their purpose is to increase noise, clog exchanges, and outwit competitors. Whatever the reasons behind the existence of these orders, this theory postulates that they exacerbated the crash by overloading the exchanges on May 6. Some have put forth the theory that high-frequency trading was actually a major factor in minimizing and reversing the flash crash. •
Large directional bets: Regulators said a large
E-Mini S&P 500 seller set off a chain of events triggering the Flash Crash, but did not identify the firm. 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. 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. Others suspect a movement in the U.S. Dollar to
Japanese yen exchange rate. •
Changes in market structure: Some market structure experts speculate that, whatever the underlying causes, equity markets are vulnerable to these sorts of events because of decentralization of trading. •
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.
SEC/CFTC report On September 30, 2010, after almost five months of investigations led by Gregg E. Berman, 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. The joint 2010 report "portrayed a market so fragmented and fragile that a single large trade could send stocks into a sudden spiral", 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.
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". 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". 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:
Nanex, a leading firm specialized in the analysis of high-frequency data, also pointed out to several inconsistencies in the CFTC study:
Academic research File:Flash Crash.jpg|thumb|"Order flow toxicity" (measured as CDF [VPIN]) was at historically high levels one hour prior to 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. 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. 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) and the other based on Bulk Volume Classification (or BVC-VPIN). 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". A study of VPIN 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 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", as high-frequency firms rapidly acquired and then liquidated positions among themselves at steadily declining prices. The authors conclude: 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. The 2010 Flash Crash has been cited as an early example of what legal scholar
Jonathan Gropper terms the 'Synthetic Outlaw' problem: an optimizing system that technically performed as designed while producing outcomes that were prohibited in effect, exposing a structural gap between formal compliance and actual harm.
Evidence of market manipulation and arrest In April 2015, Navinder Singh Sarao, a London-based point-and-click trader, 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 canceled to buy at the lower market prices. The
Commodity Futures Trading Commission filed civil charges against Sarao. 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 from 2009 to 2015. During extradition proceedings he was represented by
Richard Egan of
Tuckers Solicitors. As of 2017 Sarao's lawyers claim that all of his assets were stolen or otherwise lost in bad investments. Sarao was released on bail, banned from trading and placed under the care of his father. Sarao pleaded guilty to one count of
electronic fraud and one count of spoofing. In January 2020, he was given a sentence of one year's
home confinement, with no jail time. The sentence was relatively lenient, as a result of prosecutors' emphasis on how much Sarao had cooperated with them, that he was not motivated by greed and his diagnosis of
Asperger syndrome. ==Aftermath==