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Systemic risk

Systemic risk is the possibility that interconnected conditions or failures will propagate widely enough to disrupt or harm a broader system rather than only an individual component or entity.

How 3 Manning books explain it

Investing for Programmers

Systemic risk is the possibility that an event or condition will disrupt a broader economic or financial system rather than only one entity.

How it is used
Frames risk classification around threats that can destabilize markets or the broader financial system.
How deep it goes
Defines systemic risk, contrasts market, sector, and asset-specific exposure, and stops short of precise prediction or mitigation procedures.
Examples
Uses the 2008 financial crisis, concentrated sector exposure, and political-leader analysis based on speeches and campaign donations.
What you can do after
Evaluate market-wide threats while recognizing that political and other nonfinancial risk analyses can remain speculative.

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Introduction to Generative AI, Second Edition

Systemic risk is the possibility that interconnected properties or widespread deployment of an AI system produce broad harms beyond individual errors or incidents.

How it is used
Frames AI governance as lifecycle-wide oversight rather than individual compliance alone.
How deep it goes
Traces risks across collection, curation, training, and outputs, then identifies governance mechanisms without implementation detail.
Examples
Uses scraped data, undocumented datasets, internal representations, private outputs, model cards, and red teaming as concrete examples.
What you can do after
Operate/configure lifecycle governance using inventories, documentation standards, red teaming, and privacy impact assessments.

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The Complete Obsolete Guide to Generative AI

The risk that disruption in one part of a financial system propagates broadly enough to impair the system as a whole.

How it is used
Frames coordinated retail investing as a possible source of market-wide disruption.
How deep it goes
Explains the propagation mechanism through coordinated trades, flash crashes, and emotionally driven price swings.
Examples
Uses mass buying or shorting, flash crashes, feeding frenzies, and historical bubbles as concrete illustrations.
What you can do after
Evaluate how collective investor behavior and emotionally reactive trading could amplify market instability.

Read how The Complete Obsolete Guide to Generative AI explains systemic risk →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.