Introduction: When Machines Were Smarter Than Humans, But Also Dumber
Imagine you are sitting in front of a computer screen, watching green stock charts suddenly turn red. No, this is not a science fiction movie. This is Black Monday, October 19, 1987, the day when the U.S. stock market fell by 22.6% in a single session—worse than the 1929 Wall Street Crash. And who was the hero behind this tragedy? Not wild speculators, not war news, but computers that were too smart for their own good.
Main Absurdity: Technology Created to Save, Ended Up Killing
In 1987, Wall Street had begun introducing what was called "portfolio insurance." It was a mathematical strategy using computer models to automatically buy or sell index futures contracts to protect portfolio value. The theory was simple: if the market fell, the computer would sell futures contracts to offset losses. However, what happened when everyone used the same strategy at the same time?
When the market started to crash on the morning of October 19, computers across Wall Street read the same signal: sell. And they sold, not calmly, but like unstoppable zombies. Each automatic sale pushed prices lower, triggering more automatic sales. This was not a market; it was a digital death spiral. Ironically, portfolio insurance was designed to reduce risk, but when used simultaneously, it created systemic risk that killed the market itself.
Analysis: Why Computers Failed to Manage Uncertainty
One main reason why Black Monday became worse was because the computer models used did not account for human panic. In financial theory, models assume that markets are always rational—a clearly unreasonable assumption. When computers started selling, human investors also panicked and sold manually, accelerating the decline. The combination of automatic sales and human panic created an unstoppable wave of destruction that no mathematical model could stop.
Additionally, at that time, trading systems were not fully integrated. Many sell orders could not be processed quickly because different computer systems did not communicate with each other. This caused delays and confusion, further worsening the panic. Therefore, behind the advanced technology, the stock market of 1987 was half digital, half manual—and this was a recipe for disaster.
Global Irony: Louvre Accord and the Dollar's Fall
Black Monday did not happen in a vacuum. In February 1987, major industrialized nations signed the Louvre Accord, an agreement to stabilize currency exchange rates, especially the weakening U.S. dollar. However, the agreement failed because the market did not believe in the government's commitment. As the dollar continued to fall, investor confidence eroded, and the stock market became fragile.
Ironically, the Louvre Accord was supposed to be a safety net, but instead, it became a catalyst for the crash. Governments tried to control the natural market—yet nature retaliated in the harshest way. When the stock market finally collapsed, it not only sank the dollar but also sank the illusion that humans and machines could manage financial risk perfectly.
Long-Term Impact: From Black Monday to the Next Crisis
After Black Monday, the Federal Reserve and other central banks acted by injecting liquidity into the system to prevent a global recession. However, this event left deep scars. It taught us that financial technology, if not properly managed, can accelerate collapse rather than stabilize the market. In the following decades, we saw how risk models failed again—from the dot-com bubble in 2000 to the 2008 subprime crisis, where mathematical models were also the main cause of destruction.
Black Monday also served as a reminder that the stock market is not a perfect rational entity. It is a place where machines and humans clash, where logic and panic merge, and where sometimes, the smartest computers can be the dumbest.
Conclusion: Lessons That Have Never Been Learned
We may consider Black Monday as old history, but its absurdity remains relevant today. With the rise of algorithmic trading, artificial intelligence, and cryptocurrencies, we are once again relying on machines to manage risk. Have we learned? Perhaps not. Because, as history shows, when computers sell in a panic, they will not stop until everything is destroyed. And we, as humans, will still panic along with them.
So, when you see a falling stock chart tomorrow, remember: it is not the market that is crazy, but the system we created ourselves. And computers, as usual, are just doing what we told them to—despite the fact that it might mean our own destruction.
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Reference: Black Monday (1987) — Wikipedia)
Black Monday 1987: Computers Killed the Stock Market in a Day. On October 19, 1987, global stock markets fell by 22% in one day, wiping out $1.71 trillion in value. Ironically, the technology celebrated for managing risk—portfolio insurance and automated trading—actually accelerated the collapse. This article explores the absurdity behind Black Monday, where computers, meant to save the market, became the main cause of the disaster.. Introduction: When Machines Were Smarter Than Humans, But Also Dumber
Imagine you are sitting in front of a computer screen, watching green stock charts suddenly turn red. No, this is not a science fiction movie. This is Black Monday, October 19, 1987, the day when the U.S. stock market fell by 22.6% in a single session—worse than the 1929 Wall Street Crash. And who was the hero behind this tragedy? Not wild speculators, not war news, but computers that were too smart for their own good.
Main Absurdity: Technology Created to Save, Ended Up Killing
In 1987, Wall Street had begun introducing what was called "portfolio insurance." It was a mathematical strategy using computer models to automatically buy or sell index futures contracts to protect portfolio value. The theory was simple: if the market fell, the computer would sell futures contracts to offset losses. However, what happened when everyone used the same strategy at the same time?
When the market started to crash on the morning of October 19, computers across Wall Street read the same signal: sell. And they sold, not calmly, but like unstoppable zombies. Each automatic sale pushed prices lower, triggering more automatic sales. This was not a market; it was a digital death spiral. Ironically, portfolio insurance was designed to reduce risk, but when used simultaneously, it created systemic risk that killed the market itself.
Analysis: Why Computers Failed to Manage Uncertainty
One main reason why Black Monday became worse was because the computer models used did not account for human panic. In financial theory, models assume that markets are always rational—a clearly unreasonable assumption. When computers started selling, human investors also panicked and sold manually, accelerating the decline. The combination of automatic sales and human panic created an unstoppable wave of destruction that no mathematical model could stop.
Additionally, at that time, trading systems were not fully integrated. Many sell orders could not be processed quickly because different computer systems did not communicate with each other. This caused delays and confusion, further worsening the panic. Therefore, behind the advanced technology, the stock market of 1987 was half digital, half manual—and this was a recipe for disaster.
Global Irony: Louvre Accord and the Dollar's Fall
Black Monday did not happen in a vacuum. In February 1987, major industrialized nations signed the Louvre Accord, an agreement to stabilize currency exchange rates, especially the weakening U.S. dollar. However, the agreement failed because the market did not believe in the government's commitment. As the dollar continued to fall, investor confidence eroded, and the stock market became fragile.
Ironically, the Louvre Accord was supposed to be a safety net, but instead, it became a catalyst for the crash. Governments tried to control the natural market—yet nature retaliated in the harshest way. When the stock market finally collapsed, it not only sank the dollar but also sank the illusion that humans and machines could manage financial risk perfectly.
Long-Term Impact: From Black Monday to the Next Crisis
After Black Monday, the Federal Reserve and other central banks acted by injecting liquidity into the system to prevent a global recession. However, this event left deep scars. It taught us that financial technology, if not properly managed, can accelerate collapse rather than stabilize the market. In the following decades, we saw how risk models failed again—from the dot-com bubble in 2000 to the 2008 subprime crisis, where mathematical models were also the main cause of destruction.
Black Monday also served as a reminder that the stock market is not a perfect rational entity. It is a place where machines and humans clash, where logic and panic merge, and where sometimes, the smartest computers can be the dumbest.
Conclusion: Lessons That Have Never Been Learned
We may consider Black Monday as old history, but its absurdity remains relevant today. With the rise of algorithmic trading, artificial intelligence, and cryptocurrencies, we are once again relying on machines to manage risk. Have we learned? Perhaps not. Because, as history shows, when computers sell in a panic, they will not stop until everything is destroyed. And we, as humans, will still panic along with them.
So, when you see a falling stock chart tomorrow, remember: it is not the market that is crazy, but the system we created ourselves. And computers, as usual, are just doing what we told them to—despite the fact that it might mean our own destruction.
---
Reference: Black Monday 1987 — Wikipedia https://en.wikipedia.org/wiki/Black Monday 1987
