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The asymmetry that makes −50% need +100%, volatility drag that eats into compounding, and why leveraged ETFs fall short of three times. We calculated how long SPY, QQQ and TQQQ took to recover from their 2000, 2008, 2020 and 2022 highs and when monthly investing got back to the money put in.
QQQ fell −83.0% with dividends in 2000 to 2002 and took 14.9 years to regain its high. Monthly investing started the same month passed the money put in after 3.9 years. The bigger the swings, the wider the gap between the average return and the compounded return, so TQQQ returned 42.9% a year, not 58.7%, three times QQQ's.
It is widely known that a −50% loss takes +100% to make up. Less well known is that the same asymmetry works on every daily move, so the bigger the swings, the wider the gap between the average return and the return that actually compounded. This article covers the arithmetic of loss and recovery, how much volatility takes out of compounding, and how long SPY, QQQ and TQQQ actually took to recover from their 2000, 2008, 2020 and 2022 highs. It also compares recovery for a lump sum and for monthly investing. Figures are as of September 30, 2026.
If a price falls by L, what is left is 1 − L, and the gain needed to get back is 1 ÷ (1 − L) − 1. For small losses the two are close, but as the loss grows the required gain grows fast.
A −10% loss needs +11.1% to make up, −30% needs +42.9%, −50% needs +100% and −80% needs +400%. At 10% a year, making up −50% takes 7.3 years and −80% takes 16.9 years. QQQ fell −83.0% with dividends from March 27, 2000 to October 9, 2002, and even though it then rose 15.4% a year it took another 12.4 years to regain its high.
A +10% year followed by −10% leaves −1%, not 0%. The arithmetic mean of the two years is 0%, but the geometric mean, the rate the money actually grew at, is negative. The gap is roughly the square of volatility (standard deviation) divided by two, and is called volatility drag. Triple the same swings to +30% and −30% and the result is −9%; repeat ten times and ±10% gives −9.6% while ±30% gives −61.1%.
Using annual returns with dividends, SPY (1994 to 2025, 32 years) had an arithmetic mean of 12.3% and a geometric mean of 10.7%. QQQ (2000 to 2025) had 12.5% against 8.3%, and TQQQ (2011 to 2025) 60.4% against 39.2%. Annual volatility measured from daily returns was 18.7% for SPY, 26.9% for QQQ and 61.1% for TQQQ. The higher the volatility, the wider the gap between the two means. If an "average return of X%" is an arithmetic mean, the account's actual return is lower.
TQQQ targets three times the Nasdaq-100's daily return, and the issuer's prospectus states that over periods longer than a day the return can differ significantly from three times. TQQQ launched on February 9, 2010; from February 11, 2010, where this site's data begins, to September 30, 2026, QQQ returned 19.6% a year. Three times that is 58.7%, but chaining three times QQQ's daily return gave 50.2% a year even with no costs, and actual TQQQ returned 42.9%. The first gap is volatility drag; the second is fees, financing costs and tracking error.
The gap looks bigger in a sideways market. From November 19, 2021 to December 13, 2023, QQQ with dividends was flat at +1.2%, but on the same day TQQQ was -44.0% below its November 2021 high. Chaining three times QQQ's daily return, with no costs, gave -32.1%. The underlying index can regain its high while the leveraged ETF does not.
The high in the table is the prior record close with dividends included; for QQQ in 2007 to 2008 only, it is the 2007 high, not the 2000 high. Price recovery is the first day the split-adjusted close passed the high again, and recovery with dividends is the same for prices with dividends reinvested. QQQ's 2022 price high was on November 19, 2021, so the dates differ. The last column assumes $500 went in on the first trading day of every month from the first trading day of the high's month, and gives the first day after the index bottom when the balance was at or above the money put in.
| Case | High | Decline | Price recovery | Recovery with dividends | Monthly investing back to money in |
|---|---|---|---|---|---|
| SPY 2000 to 2002 | Mar 24, 2000 | −47.5% | Jun 1, 2007 (7.2 yrs) | Oct 26, 2006 (6.6 yrs) | Dec 12, 2003 (3.8 yrs) |
| SPY 2007 to 2009 | Oct 9, 2007 | −55.2% | Mar 14, 2013 (5.4 yrs) | Aug 16, 2012 (4.9 yrs) | Sep 16, 2009 (2.0 yrs) |
| SPY 2020 | Feb 19, 2020 | −33.7% | Aug 18, 2020 (5.9 mo) | Aug 10, 2020 (5.7 mo) | Apr 17, 2020 (2.4 mo) |
| SPY 2022 | Jan 3, 2022 | −24.5% | Jan 19, 2024 (2.0 yrs) | Dec 13, 2023 (1.9 yrs) | Feb 1, 2023 (1.1 yrs) |
| QQQ 2000 to 2002 | Mar 27, 2000 | −83.0% | Sep 6, 2016 (16.4 yrs) | Feb 20, 2015 (14.9 yrs) | Jan 7, 2004 (3.9 yrs) |
| QQQ 2007 to 2008 (from the 2007 high) | Oct 31, 2007 | −53.4% | Jan 3, 2011 (3.2 yrs) | Dec 8, 2010 (3.1 yrs) | Jul 23, 2009 (1.8 yrs) |
| QQQ 2020 | Feb 19, 2020 | −28.6% | Jun 5, 2020 (3.5 mo) | Jun 3, 2020 (3.4 mo) | Apr 14, 2020 (2.3 mo) |
| QQQ 2022 | Dec 27, 2021 | −35.1% | Dec 15, 2023 (2.1 yrs) | Dec 13, 2023 (2.0 yrs) | Mar 29, 2023 (1.3 yrs) |
| TQQQ 2020 | Feb 19, 2020 | −69.9% | Jul 10, 2020 (4.7 mo) | Jul 10, 2020 (4.7 mo) | Apr 17, 2020 (2.4 mo) |
| TQQQ 2022 | Nov 19, 2021 | −81.7% | Dec 11, 2024 (3.1 yrs) | Dec 4, 2024 (3.0 yrs) | May 18, 2023 (1.5 yrs) |
Dividends brought recovery forward. SPY regained its 2000 high in 7.2 years on price and 6.6 years with dividends; for QQQ it was 16.4 and 14.9 years. TQQQ, which pays little, showed almost no difference. TQQQ's 2022 decline of −81.7% was 2.3 times QQQ's (−35.1%), and its recovery took 3.0 years.
Putting in the same amount every month buys more shares when prices are low. The average purchase price ends up well below the high, and the balance passes the money put in long before the index regains its high. Monthly investing in QQQ from March 2000 passed the money put in on January 7, 2004, while a lump sum put in the same month passed it only on August 25, 2014.
The price is the size of the loss in dollars. With monthly investing the money put in keeps growing, so a later decline hits a larger sum. Monthly investing in QQQ from March 2000 had $4,324 against $9,500 put in on September 21, 2001, a −54.5% loss; after passing the money put in, it went under again in the 2008 decline, and the last day below was Jul 17, 2009. Monthly investing in SPY from March 2000 had $34,433 against $54,500 on March 9, 2009. At −36.8% it was deeper than at the 2002 bottom (−33.6%), and the $20,067 shortfall was 3.7 times the $5,369 of the 2002 bottom. The last day below the money put in was Jul 6, 2010.
Search terms: volatility drag, volatility decay, leveraged ETF decay, recovery time after crash, arithmetic vs geometric mean, gain needed to recover a loss, how long to recover from a 50% loss, Nasdaq recovery time, S&P 500 recovery time.
In the numbers, recovery was set less by the depth of the fall than by the time left afterward and the way money went in. From the same March 2000 start in QQQ, a lump sum took 14.5 years to pass the money put in and monthly investing 3.9 years. In exchange, monthly investing went under again in the 2008 decline after the sum had grown, and the largest dollar loss of SPY monthly investing from 2000 came in 2009, not 2002. Volatility raises the gain needed to recover. Since 2010 TQQQ returned 42.9% a year rather than three times QQQ, and was still -44.0% below its high on the day QQQ regained its 2021 high. The operator's reading is that turning a loss limit into the gain and time needed to make it up, rather than the size of the fall, fits keeping a plan better.
This article does not forecast when any stock or ETF will recover. The figures are past results from this site's engine (dividends reinvested, 0.15% cost per trade, monthly investing on the first trading day, taxes and currency left out). There is no basis for expecting the same recovery times in other markets or single stocks. Everything here is reference information based on past, public data and is not investment advice.
Investor psychology · QQQ monthly investing backtest · TQQQ vs. QQQ and QLD monthly · SPY monthly vs. lump sum · Averaging down and pyramiding · VIX and fear · Asset allocation
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