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The FSB report of 27 June 2017 on financial stability implications from FinTech states that social trading and robo-advice could show greater herding behaviour than traditional portfolio allocation if risk models are highly correlated through reliance on similar algorithms, and notes that it found no empirical evidence so far of convergence of robo-advisors’ algorithms or portfolios. Copy claim link
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Supporting evidence: primary · 1 source; Context: primary · 1 source
Date 2017-06-27 · publication Records dated 2017 → Role Context Register (kind of text) Nonfiction Missing element The passage does not name AI or machine-learning models; it concerns robo-advice and social trading algorithms generally. Scope and limits The passage concerns robo-advice and social trading algorithms; it does not name AI or machine learning (the report’s glossary says robo-advisors “can also include machine learning”). Recorded as context to the November 2017 articulation.
The evidence 02 primary source Supports the claim
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
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Source excerpt “Social trading and robo-advice could potentially exhibit greater herding behaviour than traditional portfolio allocation methods – for example, if risk models are highly correlated due to reliance on similar algorithms – thereby potentially increasing the amplitude of swings in asset prices.” Location in source Section 3 (financial stability risks), PDF p. 24 (printed p. 20)
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 700f5d772032e790ff4e67d7d6f5941584a427678ef23a56e7b9407d0c827243). Retrieved again at admission on 2026-11-06 (same file). PDF dated 27 June 2017 as served by fsb.org on 2026-11-02 (requested at the wp-content address, redirected to /uploads/R270617.pdf) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention”, 2017-06-27. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (41 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review. primary source Context only
Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention ↗ Financial Stability Board · 2017-06-27
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Source excerpt “we found no empirical evidence so far on convergence of robo-advisors’ algorithms or portfolios.” Location in source Annex C (robo-advisors), footnote, PDF p. 50
How it was read Retrieved directly from the publisher
Machine-checked · 2026-11-06
Source details and check notes Authors Financial Stability Board Version Retrieved for the candidate pack on 2026-11-02 (SHA-256 700f5d772032e790ff4e67d7d6f5941584a427678ef23a56e7b9407d0c827243). Retrieved again at admission on 2026-11-06 (same file). PDF dated 27 June 2017 as served by fsb.org on 2026-11-02 (requested at the wp-content address, redirected to /uploads/R270617.pdf) Canonical address Open the canonical source ↗ Accessed 2026-11-06 Language English (en) Attribution Financial Stability Board, “Financial Stability Implications from FinTech: Supervisory and Regulatory Issues that Merit Authorities’ Attention”, 2017-06-27. Reuse No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution. Check notes Candidate pack passage, AI and money (research/ai-money). The quotation (14 words) matched a fresh retrieval of 2026-11-06 (the same file the candidate pack read). Matching ignored differences of whitespace, case, quotation marks, dashes, line-break hyphens and Unicode compatibility forms. No human editorial review. Status and meaning Editorial status. Machine-checked . Machines found this record and checked it against its sources; no person accepted it individually. Each evidence record above shows how it was checked.
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Record ID am-u01-fsb-2017-fintech-fs-context