朱宁 / Zhu Ning

朱宁 is the economist interviewed in 泡沫的四个必要不充分条件 | 对谈经济学者朱宁教授. The episode presents him as a professor at Shanghai Jiao Tong University’s Shanghai Advanced Institute of Finance whose work covers behavioral finance, behavioral economics, and asset bubbles.

In the source, Zhu connects historical bubble cases, Behavioral Investing Biases, Speculative Bubble Psychology, and AI-market valuation into a practical investing discipline. His central contribution is Bubble Necessary Conditions: bubbles often involve a new concept or technology, loose liquidity, government support, and inexperienced investors, but those conditions still do not prove a crash is coming.

Source Position

• He argues that no one can reliably certify a bubble before the fact; the word is often applied after a break.
• He treats overconfidence, recent linear extrapolation, and herd behavior as recurring human foundations of bubbles.
• He separates AI’s real economic potential from whether current prices pass AI Equity Valuation Risk and Value Investing tests.
• He recommends Investment Risk Management, Position Sizing, diversification, and self-knowledge rather than a binary market-timing call.

Connections

• 42章经 — show context for the interview.
• Bubble Necessary Conditions — source-specific framework associated with Zhu.
• Behavioral Investing Biases, Speculative Bubble Psychology, and Retail Bull Market Psychology — psychological mechanisms he emphasizes.
• AI Equity Valuation Risk, AI Bubble Hedging, Investment Risk Management, and Position Sizing — investing frames sharpened by the interview.
• Warren Buffett and Charlie Munger — long-term investing references used in the discussion.