000	00000cam 2200000zi 4500
001	9.966911
003	CaOODSP
005	20261026161410
006	m     o  d f
007	cr |n|||||||||
008	261019e20261016oncd    ob   f|0| 0 eng d
040	|aCaOODSP|beng|erda|cCaOODSP
043	|an-cn---
086	1 |aFB3-5/2026-40E-PDF
100	1 |aOjea-Ferreiro, Javier, |eauthor.
245	10|aArtificial intelligence and financial tail risks / |cJavier Ojea-Ferreiro, Andrea Ugolini, Juan C. Reboredo.
264	1|a[Ottawa] : |bBank of Canada = Banque du Canada, |cOctober 16, 2026.
264	4|c©2026
300	|a1 online resource ([i], 43 pages) : |bcharts.
336	|atext|btxt|2rdacontent
337	|acomputer|bc|2rdamedia
338	|aonline resource|bcr|2rdacarrier
490	1 |aStaff working paper = |aDocument de travail du personnel, |y1701-9397 ; |v2026-40
500	|aISSN assigned to different series.
504	|aIncludes bibliographical references.
520	|a"Artificial intelligence (AI) has a double-edged relationship with financial stability: it may improve efficiency and risk management, while also creating new vulnerabilities and amplification channels. This paper studies whether market-perceived exposure to AI is reflected in the tails of financial-sector returns, and whether this relationship depends on macroeconomic conditions. We develop a framework that decomposes financial-sector tail outcomes across contemporaneous AI and macroeconomic scenarios, and identifies whether the AI-related episodes are primarily associated with extreme gains or losses"--page [i].
650	0|aArtificial intelligence|xFinancial applications.
650	0|aArtificial intelligence|xRisk assessment.
650	6|aIntelligence artificielle|xApplications financières.
650	6|aIntelligence artificielle|xÉvaluation du risque.
710	2 |aBank of Canada, |eissuing body.
830	#0|aStaff working paper (Bank of Canada)|v2026-40.|w(CaOODSP)9.806221
856	40|qPDF|s3.18 MB|uhttps://publications.gc.ca/collections/collection_2026/banque-bank-canada/FB3-5-2026-40-eng.pdf