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      <marc:subfield code="a">Ojea-Ferreiro, Javier, </marc:subfield>
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      <marc:subfield code="a">Artificial intelligence and financial tail risks / </marc:subfield>
      <marc:subfield code="c">Javier Ojea-Ferreiro, Andrea Ugolini, Juan C. Reboredo.</marc:subfield>
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      <marc:subfield code="a">[Ottawa] : </marc:subfield>
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      <marc:subfield code="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].</marc:subfield>
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      <marc:subfield code="u">https://publications.gc.ca/collections/collection_2026/banque-bank-canada/FB3-5-2026-40-eng.pdf</marc:subfield>
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