Sudden plunge in the price of bonds, stocks, or commodities followed by a recovery
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Flash crashes refer to a scenario where the price of bonds, stocks, or commodities suddenly plunges but then quickly recovers. It is called a flash, as the market will crash suddenly but then prices will almost immediately rebound. At the end of the day, the net result appears almost as though the crash had never occurred.
Flash crashes are when there is a sudden plunge in prices of stocks, commodities, and bonds followed by a quick recovery
Some causes of flash crashes include the use of algorithm trading, which can increase volatility and decrease liquidity
It is difficult to pinpoint exactly what causes flash crashes
What causes flash crashes?
As noted, flash crashes happen extremely quickly. It is clear that the drop and rebound in price are not because of the release of bad news and then good news immediately after. Another point to consider is that the crash can impact an entire stock index, not just one stock, bond, or commodity. The cause of the crash is not usually due to any perceived change in the fundamental value of the stock.
One cause of flash crashes stems from computer programs or algorithms. Using algorithms to trade has become increasingly popular. Computers can take large amounts of data and make large volume trades within a second, outside of human capabilities of reasoned decision-making. Some algorithms are programmed to react to selling pressures. For example, as more sells are made, compared to buys, the algorithms start selling, too. This creates a snowball effect and at the speed with which computers make trades, a sudden plunge in the market occurs.
High-frequency traders are another factor that is believed to have caused or worsened flash crashes. These traders use algorithms to perform large transactions at very high speeds. Traders can also purposely use algorithms to partake in illegal trades such as spoofing. With spoofing, algorithms are programmed to put in fake sales. For example, the traders will put in an order to sell 400 sales, but pull the order right before it is satisfied. By simply placing such a large sell order, prices are driven down, and the traders will then buy at the reduced price. With algorithms, this process has become very effective and is now illegal. This is just one way in which algorithms can create volatility in markets.
More research needed
Based on the research of flash crashes that have happened, there are still a lot of unknowns concerning why these crashes occur. While high-frequency traders and the use of algorithms play a part in pressuring prices up or down and promoting herd behavior, it is believed that there are other factors at play as well. It is also sometimes difficult to say whether there is a way for people or companies to purposely create flash crashes to earn a profit.
Examples of flash crashes
Flash crashes occur frequently. However, most are very small and do not make the news. The first notable flash crash was the 2010 Flash Crash. During this crash, the Dow Jones index lost almost 9% of its value and around $1 trillion in equity in a very short space of time. However, the index was able to recover 70% of its decline by the end of the trading day. This flash crash was especially significant for several reasons. First, it was especially notable due to the large plunge in value and was reported by many news outlets. Second, it brought attention to the role that computer algorithms can play in creating market volatility and uncertainty.
2019 Yen and Australian dollar
At the beginning of 2019, the Yen suddenly increased in relative value by 7% against the Australian dollar. The increase happened within minutes without any notice. This could have occurred due to a variety of reasons, including lower-than-normal liquidity and fear of a global slowdown. One contributing factor was that on the morning of the crash, Apple stated that its profits were down due to a slowdown in China. The news drove investors to buy the yen, which is considered a safe-haven currency.
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