Margin Call: How Leverage Turns a Market Fall Into a Forced Sale
With $50,000 of your own money and $50,000 borrowed, a 33% fall triggers a margin call and a 50% fall wipes you out. How leverage creates forced sellers.
A margin call is a demand from your broker to add cash or securities to your account because borrowed money has pushed your own share of it below the required minimum. If you cannot pay, the broker sells your investments for you, usually at low prices in the middle of a fall. That is the real danger of investing with borrowed money: it can turn a temporary market decline into a permanent loss, even when the market later recovers.
What leverage does to gains and losses
Leverage means investing with borrowed money. Suppose you have $50,000 and borrow another $50,000, so you now own $100,000 of shares.
- If the market rises 10%, your $100,000 position gains $10,000. On your own $50,000, that is a 20% gain. This is the appeal.
- If the market falls 10%, you lose $10,000, which is 20% of your own money. The multiplier works in both directions.
- There is a third effect, and it matters most: the lender can force you to sell.
The first two effects are symmetrical. The third is not. It only ever shows up on the way down.
How a margin call works, step by step
Brokers require a minimum share of your own money (your equity) in a margin account, often 25%. Stay with the same example of $50,000 of your own money and a $50,000 loan:
- Market down 10%: your position is worth $90,000, the loan is still $50,000, and your equity has dropped 20% to $40,000.
- Market down about 33%: your position is worth roughly $67,000 and your equity about $17,000, which is close to 25% of the position. The line is crossed and you get a margin call. You either add cash or the broker sells for you at the current low price.
- Market down 50%: your position is worth $50,000, exactly the size of the loan. Your own money is gone completely.
Now put that next to real history. The S&P 500 fell 55% from 2007 to 2009. Investors without leverage who held on were back at their old high in 2012. With leverage like in this example, investors were wiped out long before the market reached its bottom.
The forced seller: why time stops working for you
The unleveraged investor and the leveraged investor look at the same market. One of them can wait, because nobody can make them sell. The other has a deadline set by the lender.
That deadline tends to arrive at the worst possible moment, near the lowest prices, when many other investors are also selling. For a long-term investor, time is the biggest ally: falls have been followed by recoveries in the major markets. Leverage turns that ally into an enemy, because the recovery only helps people who still own the shares when it comes.
In short: the market recovered. The forced seller did not.
Leveraged ETFs: leverage hidden in a product
You do not need a margin loan to carry leverage. Leveraged ETFs aim to deliver two or three times the *daily* move of an index. Because they reset every day, the results over several days can surprise people. Here is an illustration over two days, with the index down 10% and then up 10%, starting from $100:
- Normal fund: $100 → $90 → $99
- 2x daily fund: $100 → $80 → $96
- 3x daily fund: $100 → $70 → $91
The index is down only 1%, yet the 3x fund is down 9%. The more prices swing back and forth, the more of this decay builds up, even if the index ends roughly where it started. Higher volatility makes it worse. These products are built for short-term traders, not as the core of a long-term portfolio.
Hidden leverage in everyday financial life
Some leverage is easy to spot:
- Margin loans at your broker
- Leveraged and inverse ETFs
- Options and futures
Other forms are less obvious but have the same effect:
- Investing money you need within two years, for example for a house. A fall could force you to sell to make the purchase.
- Loans against your house or business used to buy shares.
- Investing with a short-term loan that has to be repaid on a fixed date.
The test is always the same question: could anyone, or any bill, force me to sell during a fall? If the answer is yes, part of your portfolio behaves like leveraged money, whether or not a broker is involved.
What to do with this
- Check your broker account settings. See whether margin borrowing is switched on, even if you have never used it, and consider whether you want it available.
- Review your holdings for leveraged or inverse products. Look at fund names and fact sheets for terms like 2x, 3x, ultra or inverse.
- List everything that could force you to sell in a crash: a loan, a planned purchase, an income gap. Each item is a risk to address before the next fall, not during it.
- Run the numbers on any borrowing. Work out at what market fall your equity would hit the broker's minimum, the way the example above reaches about 33%.
This article is based on Lesson 3.3 of our course Mastering Investments, where Module 1 is free.
Frequently asked questions
What happens if you ignore a margin call?
If you do not add cash or securities by the broker's deadline, the broker can sell positions in your account without asking you, at whatever the current price is. That price is often low, because margin calls tend to arrive during broad market falls. The loss is then locked in, and if the market later recovers, you no longer own the shares that would have recovered with it.
How far can a market fall before a margin call?
It depends on how much you borrowed and on your broker's minimum equity requirement. In a common example, an investor has $50,000 of their own money, borrows $50,000 and the broker requires at least 25% equity. That line is crossed after a market fall of about 33%. After a 50% fall, the investor's own money is gone completely.
Why do leveraged ETFs lose value when the market goes sideways?
Leveraged ETFs reset daily, so losses and gains compound unevenly. Over two days with an index down 10% then up 10%, $100 in a normal fund ends at $99. A 2x daily fund ends at $96, and a 3x daily fund ends at $91. The more prices swing back and forth, the larger this decay becomes, even if the index ends near where it started.
Turn this into a process: the numbers, live, for free
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