5 Catastrophic Fat Finger Error Incidents That Shook The Markets

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Mayur Joshi
Mayur Joshihttp://www.mayurjoshi.com
Mayur Joshi is a contributing editor to Regtechtimes, he is recognized for his insightful reporting and analysis on financial crimes, particularly in the realms of espionage and sanctions. Mayur's expertise extends globally, with a notable focus on the sanctions imposed by OFAC, as well as those from the US, UK, and Australia. He is also regular contributor on Geopolitical subjects and have been writing about China. He has authored seven books on financial crimes and compliance, solidifying his reputation as a thought leader in the industry. One of his significant contributions is designing India's first certification program in Anti-Money Laundering, highlighting his commitment to enhancing AML practices. His book on global sanctions further underscores his deep knowledge and influence in the field of regtech.
The “fat finger” problem is a term used to describe errors caused by human operators making mistakes when inputting data into a computer system, typically by pressing the wrong key or entering incorrect information. This seemingly minor issue can have major repercussions, particularly in the banking and finance sectors, where precision is crucial.

What is a Fat Finger Error?

A fat finger error occurs when a trader, banker, or other financial professional accidentally inputs incorrect data due to a physical slip or typographical mistake. These errors can result in significant financial losses, market disruptions, and reputational damage. Common types of fat finger errors include:
  • Entering the wrong amount of a transaction
  • Typing an incorrect price for a stock or security
  • Mistakenly pressing a wrong button, such as “sell” instead of “buy”

Notable Examples of Fat Finger Errors

Flash crashes can be caused by human error, or so-called “fat finger” trades – a reference to someone incorrectly typing the details of a trade. Such trading errors and the flash crashes they can cause are often costly. They have triggered shake-ups of stock market rules and have even led to criminal convictions.

In 2020, former UK-based stock market trader Navinder Sarao was sentenced to a year of home detention for his role in triggering a brief $1 trillion US stock market crash a decade earlier. Using specially programmed high-speed software, Sarao placed numerous orders that he never intended to execute, creating a false impression of market demand. By cancelling or altering his bids, he was able to profit from these activities.
Sarao’s actions, known as “spoofing,” contributed to market instability, culminating in the May 2010 “flash crash,” during which the Dow Jones index plummeted nearly 1,000 points in a matter of minutes. Following the 2008 financial crisis, the US made spoofing a criminal offence in 2010 as part of broader regulatory efforts to enhance market integrity.

Citigroup’s $78 Million Fine

Recently, Citigroup faced a hefty fine of $78 million due to a trader’s mistake. The trader intended to execute a routine order to sell shares but accidentally sold a much larger quantity than planned. This “inputting error” triggered a flash crash in European stocks, demonstrating how even a single mistake can ripple through the markets, causing significant disruptions.

Citigroup Fined £61.6m for Massive Trading Error on European Exchanges

Reddit Investor’s Mistake

Derek Robinson, a 45-year-old electrician from Seattle, made a common retail investor error. While rushing to capitalize on an investment trend he’d read about on Reddit, he entered the wrong ticker symbol. Instead of buying shares of Immutep (IMMP), he bought shares of Imperial Petroleum (IMPP). While this mistake only involved $500, it highlights how easy it is for everyday investors to make similar errors.

You May Also like to Read the Book on Banking Failures

JP Morgan and JPM Co. Confusion

After JP Morgan merged with Chase Manhattan Bank in 2000, the new company’s ticker symbol became JPM. Some investors confused it with JPM Co., a manufacturer trading under JPMX. This historical example shows how ticker symbol confusion can lead to unintended investments, a risk that persists today.

Tesla and Tiziana Life Sciences

In June 2020, Evgenii Markin aimed to buy $10,000 worth of Tesla shares (TSLA) but ended up purchasing shares of Tiziana Life Sciences (TLSA) instead. Initially, both stocks were rising, but Tesla’s value later skyrocketed, making the error costly for Markin. This case underscores the importance of careful ticker verification.

Zoom Technologies and Zoom Video Communications

During the early stages of the COVID-19 pandemic, Zoom Video Communications (ZM) became extremely popular. Some investors, however, confused it with Zoom Technologies (ZOOM), leading to significant trading activity in the wrong stock. The Securities and Exchange Commission eventually suspended trading on Zoom Technologies to protect investors from further confusion.

The Impact of Fat Finger Errors

Fat finger errors, although often involving small percentages of total trades, can have significant financial implications. According to Rutgers University finance professors Vadim Balashov and Andrei Nikiforov, such errors represent about $3.5 billion a day based on current trading volumes. These mistakes can cause flash crashes, regulatory scrutiny, and substantial financial losses for both individual and institutional investors.

Fat Finger Error caused a $1.4 Billion loss in the Citi Bank case underscoring the importance of vigilance and technological investment in safeguarding against human error. As trading environments become more complex and fast-paced, the importance of addressing the fat finger problem will only continue to grow.

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