The Echo-Bubble Filter
After every burst bubble, the next one rhymes — overpay and the story won't save you.
Nakisa borrows John Authers' phrase 'echo bubble': after each burst bubble, investors don't learn the meta-lesson, they just rotate to the next shiny ball. dot-com → housing → crypto → NFTs → AI/Nvidia. The narrative differs; the mechanism — a story rich enough to justify any price — is identical.
The filter is not 'avoid the theme' but 'don't overpay for it'. A great idea bought at a price that requires implausible future earnings growth is a bad investment. The framework flips the question from 'is this transformative?' (usually yes) to 'is the price already discounting the transformation?' (often yes, by a lot).
The rule of thumb: post-crash, themes you like become buyable. Pre-crash, when they are on every magazine cover, the price is doing the work for you in the wrong direction.
- A great idea and a great investment are not the same thing — the gap is price.
- Each new bubble's narrative will feel uniquely compelling — that is the bubble's job.
- Stock prices ultimately snap back to a multiple of earnings, however long the snap takes.
- FOMO is the echo of the previous burst bubble, not insight about the new one.
- Post-crash entry beats peak-hype entry on the same theme.
- Name the current echo bubble out loudBefore considering an allocation, write down the dominant narrative — 'AI will reshape work', 'EVs will replace combustion', 'crypto is digital gold'. Naming it makes you face that it is a story, not a valuation.
- Compute what earnings growth the price requiresLook at trailing P/E and analyst consensus EPS growth. Ask: at this multiple, what compound earnings growth over the next 5-10 years justifies the price? If the answer is 'the highest in history', you are in echo-bubble territory.Pro tipUse Damodaran's implied-growth tools or simple reverse DCF — exact numbers matter less than the order of magnitude.
- Stress-test the narrative against prior cyclesFor each prior bubble, the story was real (internet did transform commerce, mobile did remake software). The investments still failed because price ran ahead of fundamentals. Ask: how is this time different from the previous cycles, and is that difference priced in?Warning'This time is different' is the most expensive sentence in investing.
- Wait for the post-crash entryIf you genuinely like the theme, the better entry is after the inevitable correction. Maintain a watchlist with target prices. Nakisa's view: 'after a crash that could be an interesting point to invest.'Pro tipSet price alerts at 30%, 50%, 70% drawdowns from peak — these are the levels where forced sellers create real entries.
- If you must buy in, ring-fence as 'fun money'If the urge is uncontainable, treat the position as explicit entertainment, sized so a 100% loss doesn't move your retirement plan. Nakisa's partner bought Nvidia framed as 'just fun'.
Each cycle saw the previous bubble's victims rotate into the next theme, convinced they had learned the lesson. Nakisa points out that the lesson — don't overpay for narratives — is exactly what they are about to fail again.
Nakisa's partner Laura bought Nvidia near the peak of the AI excitement, framing it as 'just fun'. He sees this as both honest (it is fun money, not core allocation) and emblematic (the narrative drove the buy, not the price).
Will (the host) bought Tesla, airlines, and Chinese EV maker NIO in early 2020 expecting lockdown beneficiaries to keep running. Many fell sharply afterwards as the narrative shifted from 'electric is the future' to 'execution and competition matter'.
Nakisa watched the same investors rotate through dot-com to housing to crypto to NFTs to AI, never identifying the underlying pattern: each cycle's narrative was the most compelling one they'd ever seen, until the next one arrived.
He credits John Authers (formerly FT, now Bloomberg) with the 'echo bubble' label and uses it as a heuristic for spotting when a real innovation is already over-priced. His own partner buying Nvidia 'because it's fun' became a personal anchor for the framework.