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Portfolio Crash Test: How Would My Portfolio Do in Another 2008?

Replay your holdings through five real crises, from the 2008 financial crisis to the 2025 tariff selloff. The method step by step, a sample result, and what Exent shows when you run it on your own portfolio.

Published Updated 4 min readHow we research

Key takeaways

  • In a 2008 replay, a sample portfolio of SPY, QQQ, Apple and Nvidia fell about 61%, versus 56.5% for SPY alone (Exent’s data, as of Sep 30, 2026).
  • A crash test multiplies each holding’s drop in a past crisis by its weight today and adds them up.
  • Use several crises: the same sample portfolio lost 34% in the 2022 replay versus 25% for SPY, but slightly less than SPY in the COVID crash.
  • Exent shows every holding’s drop in all five crises next to the S&P 500’s, as part of Portfolio Analysis in the trial.

How would my portfolio do in another 2008?

Take what each of your holdings did from the 2007 market peak to the March 2009 low, weight it by how much of your money is in it today, and add the results. That is your 2008 replay. It is not a forecast. It shows how the portfolio you own now was built to behave the last time credit froze and the economy shrank.

Most portfolios that look fine in a calm year fail this test in one specific place: one or two positions that fell far more than the market. The step‑by‑step background is in the portfolio stress test guide.

Which crises does the crash test replay?

CrisisWindowSPY peak to troughWhat it tests
Global financial crisisOct 2007 – Mar 2009−56.5%Banks, leverage, cyclicals
US‑China trade warSep – Dec 2018−20.2%Chips, industrials, global trade
COVID‑19 crashFeb – Mar 2020−34.1%A sudden shock to everything
Inflation and rate hikesJan – Oct 2022−25.4%Growth stocks, long bonds
2025 tariff selloffFeb – Apr 2025−19.0%Tariff-exposed and high-valuation stocks

How the crash test works, step by step

  1. List your holdings and today’s weights.
  2. For each crisis, find each holding’s largest peak‑to‑trough drop inside the crisis window.
  3. Multiply by the weight and add up. That is the portfolio’s replayed loss. Because holdings rarely bottom on the same day, this sum is a conservative, slightly worse‑than‑reality estimate.
  4. Compare with SPY in the same window to see whether your mix fell more or less than the market.
  5. Rank holdings by contribution (weight × drop), not by their own percentage fall.

If a holding did not trade during a crisis, it has no figure for that window. Note it rather than inventing one.

Sample output

Sample portfolio: 40% SPY, 25% QQQ, 20% Apple (AAPL), 15% Nvidia (NVDA). Peak‑to‑trough drops from Exent’s data, as of Sep 30, 2026.

HoldingWeight20082018202020222025
SPY40%−56.5%−20.2%−34.1%−25.4%−19.0%
QQQ25%−53.6%−22.9%−28.6%−34.6%−22.9%
AAPL20%−60.9%−36.7%−30.7%−28.5%−30.2%
NVDA15%−85.1%−56.0%−37.6%−61.8%−32.7%
Sample portfolio100%−60.9%−29.6%−32.6%−33.8%−24.3%
SPY alone−56.5%−20.2%−34.1%−25.4%−19.0%
  • SPY
    Weight
    40%
    2008
    −56.5%
    2018
    −20.2%
    2020
    −34.1%
    2022
    −25.4%
    2025
    −19.0%
  • QQQ
    Weight
    25%
    2008
    −53.6%
    2018
    −22.9%
    2020
    −28.6%
    2022
    −34.6%
    2025
    −22.9%
  • AAPL
    Weight
    20%
    2008
    −60.9%
    2018
    −36.7%
    2020
    −30.7%
    2022
    −28.5%
    2025
    −30.2%
  • NVDA
    Weight
    15%
    2008
    −85.1%
    2018
    −56.0%
    2020
    −37.6%
    2022
    −61.8%
    2025
    −32.7%
  • Sample portfolio
    Weight
    100%
    2008
    −60.9%
    2018
    −29.6%
    2020
    −32.6%
    2022
    −33.8%
    2025
    −24.3%
  • SPY alone
    Weight
    2008
    −56.5%
    2018
    −20.2%
    2020
    −34.1%
    2022
    −25.4%
    2025
    −19.0%

The sample portfolio fell more than SPY in four of five replays. The gap is widest in 2018 and 2022, and it comes mostly from Nvidia: 15% of the money, but 28% of the replayed loss in 2018 and 27% in 2022. That is the kind of line a crash test exists to find. See Nvidia’s data page for its full history, and the history of stock market crashes for what drove each episode.

What Exent shows when you run it on your portfolio

  • Each holding’s peak-to-trough drop in each of the five crises, with the S&P 500’s drop shown for reference.
  • Your portfolio’s own drawdowns against a risk-matched benchmark: deepest and average loss, time underwater and recovery time.
  • Tail risk: what a bad month (VaR 95%) and the average of the worst 5% of months (CVaR 95%) have looked like.
  • Crash liability: each holding’s share of the portfolio’s loss in its worst 5% of months, so you see which holdings drove it and which cushioned it.

What a crash test cannot tell you

The next crisis will not copy any of these five. Companies change: Nvidia in 2008 was a much smaller business than it is today. Use the replays to find the positions that drive your losses and to size them so you could hold through a bad year, not to predict or time the next fall. For the dollar view, see how much you would lose in a crash.

Frequently asked questions

Multiply each holding’s drop from the October 2007 peak to the March 2009 low by its weight today and add them up. SPY fell 56.5% in that window in Exent’s data.

One that replays your real holdings through several different crises and shows which positions drive the loss. Exent replays five crises from 2008 to 2025 inside its trial; a spreadsheet works too if you gather the drawdowns yourself.

Different crises hit different holdings. A portfolio can hold up in a sudden shock like COVID and still fall far more than the market in a rate-driven bear market like 2022.

Then there is no 2008 figure for it. Some investors use a similar fund as a stand-in, but note it, because a proxy is a guess.

See what your portfolio is really made of.

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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.

DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.