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Investor.gov says SIPC may protect cash and securities when a SIPC-member brokerage firm fails, but it also says SIPC does not protect against losses caused by a decline in the market value of securities. Brokerage failure protection and investment-loss protection are not the same thing.
Why this note matters
Investors can hear `protected` and assume the brokerage account is insulated from normal market losses. Investor.gov is explicit that SIPC protection is about missing custody assets after a member firm's failure, not about a stock or fund falling in price.
Investor.gov says that if a SIPC-member brokerage firm goes out of business and cannot meet its obligations to customers, customer cash and securities held by the firm may be protected up to specified limits. That is protection tied to a brokerage failure and to restoring missing customer property.
It is not a guarantee that investments themselves will hold value. The trigger is the firm's failure to maintain custody, not the market moving against the investor.
Investor.gov's SIPC glossary says SIPC does not protect investors against losses caused by a decline in the market value of securities. Its SIPC basics bulletin repeats that point and adds that SIPC does not protect against bad investment advice or non-custody-related fraud claims.
So an investor can be fully inside the SIPC framework and still lose money because a stock fell, a fund dropped, or a strategy simply performed badly.
Brokerage marketing and casual investing discussions can blur the line between custody protection and investment performance. Investor.gov's formulation is cleaner and more useful.
For Hynexly readers, the practical rule is simple: treat SIPC as a backstop for certain brokerage-failure scenarios, not as a shield against bad markets or bad security selection.
Investor.gov defines SIPC protection and explicitly says it does not protect against market-value declines.
Open sourceInvestor.gov explains what SIPC does protect and lists the main categories it does not protect, including market losses and certain fraud claims.
Open source