日本株の暴落の歴史を知れば今なにを準備し、どう行動すればいいのかわかる

Finance-focused summary (JP stock crash preparedness)

Market / macro context and why a crash could happen

• The speaker argues that after major bull-market surges, “historically violent upheaval” (i.e., market crashes) tends to follow.
• They claim a bubble-driven environment is forming around US IT/AI companies, implying that the AI bubble may eventually correct—and “depending on the circumstances, may even crash.”
• While they say timing is unknowable, they argue crashes occur periodically as capitalism and history repeat.

Historical crash examples (key drawdowns mentioned)

• IT bubble collapse (2000–2002)
  • N/A (no ticker provided for the “NASA” reference)
  • “NASA’s stock price fell about 78%.”
• Lehman shock
  • S&P 500 fell about 57%
  • Described as a “once-in-100-year crisis.”
• Coronavirus shock
  • Plummeted about 34% in one month
• Other crisis episodes listed as possible triggers (no figures given):
  • Greek crisis
  • China shock
  • Ueda shock
  • Trump shock
  • Iran war
  • Iraq War
  • 9/11

Present market framing and risks to individuals

• They note bullish strength / record performance across:
  • S&P 500
  • Nasdaq
  • They also reference “both of the stocks” and “American IT and AI companies,” but provide no specific tickers.
• Warning: when markets are strong, investors may become overconfident, leading to:
  • Over-investing
  • Taking positions beyond their risk tolerance / available capital
• They emphasize checking whether your current situation is psychologically and financially dangerous.

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Defensive framework: step-by-step “what to do” (methodology)

1. Prepare to change your approach regardless of market conditions

• Avoid panic-selling (referred to as “prospectorism,” acting under fear of loss).
• Use planned / strategic stop-loss if needed, but don’t “haphazardly” sell everything just to feel safe.
• Example given (Lehman period): they sold only a small amount, held most positions, and argued that selling at the wrong time can permanently harm outcomes.

2. Stick to “classic passive investing” instead of chasing trending stocks

• They define passive investing as systematic exposure (index exposure and regular saving).
• Caution: bubble leaders (e.g., AI / the “core of the bubble”) are likely to fall the most in a crash.
• Portfolio construction guidance aimed at preventing emotional spirals:
  • Use an index-style core for stability
  • Avoid concentrating in a single stock (explicit diversification emphasis)

3. Keep cash/reserves or sufficient liquidity

• If you’re not using passive strategies, their alternative framing is effectively holding cash / reserves.

4. Re-evaluate risk tolerance (what “real risk” means)

• “Real risk” is not the risk of failing to win—it’s what you can tolerate when you fail.
• Dangerous scenarios explicitly mentioned:
  • Investing all living expenses
  • Investing funds needed for specific goals (e.g., education / children’s tuition)
  • Investing consumer finance debt (called the worst case)
• Suggested rules include:
  • Don’t invest money needed for near-term living costs
  • Build a portfolio intended to survive a severe drawdown (they state it should withstand even if the investment amount is cut in half)
  • They personally restrict holdings to stocks they could cut losses on at any time

5. Maintain moderate optimism (avoid sensational fear)

• The media may sensationalize crashes as “perfect opportunity” content for clicks/subscriptions.
• They recommend calm, objective thinking, rather than getting pulled into speculative “conspiracy” narratives.

6. Live steadily and keep fixed expenses low

• Behavioral guidance: don’t let investment gains inflate lifestyle so much that a downturn forces you to sell.
• Resilient investors keep fixed costs manageable and adjust expenses if markets fall.

7. Use an advantage unique to individual investors

• Professionals may face organizational/contractual pressure, while individuals can “leave investments untouched” and wait through volatility.
• They describe a tactic of ignoring account screens for an extended period (e.g., about a year) while staying disciplined.

8. Long-term holding of “stocks likely to recover” (with selection discipline)

• They argue that some representative “bubble stocks” bought at peaks may take 10–20 years to recover.
• Example described:
  • A medical/tech stock bought as an investment of 1 billion yen, later increased to 1.1 billion yen (as stated)
  • Claimed price drop: down to about one-tenth at a low point
  • They state they did not cut losses, arguing that cutting too early increases regret and can repeat mistakes
• They reference research-style guidance:
  • Long-term stock investors tend to recover better when buying at low prices
  • The key is reliably selecting the “cheapest options”

9. View crashes as wealth redistribution

• They frame crashes as a “redistribution system” where capital moves from emotion-driven investors to skilled investors who studied and followed rules.

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Key numbers / explicit figures mentioned

• S&P 500 drawdown: ~57% (Lehman shock)
• Coronavirus shock drawdown: ~34% in ~1 month
• IT bubble example: “NASA’s stock price” fell ~78%
• Crash magnitude (general): mentions “panic markets” with more than 50% drops (general framing)
• Recovery / time horizon:
  • They imply normalization cycles:
    • “in two years we’ll be back to normal”
    • “from three years onwards” profits start (US-economics phrasing)
  • Bubble-buy recovery time: 10–20 years
• Personal investment scale examples:
  • Growing to 500 million yen and 1 billion yen
  • Medical/tech example: 1 billion yen → 1.1 billion yen (claimed), with profit described as “tens of millions / even 100 million yen” per year (claimed)
• Loss-tolerance framing: portfolio should withstand the investment being cut in half (stated design criterion)

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Tickers / assets / instruments mentioned

• Index/instruments
  • S&P 500
  • Nasdaq
• Specific company/stock tickers
  • None explicitly provided
  • “NASA’s stock price” is mentioned, but no ticker is given
• Sectors
  • US IT
  • AI
  • Medical tech (historical bubble reference)

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Disclosures / disclaimers

• No explicit “not financial advice” disclaimer appears in the subtitles.

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Presenters / sources (mentioned)

• Presenter/source name: “JAOKA” (channel/host identity)
• No clearly identified external sources, research firms, or citations beyond general “according to research” phrasing.