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| LEADER |
01368nam a2200145Ia 4500 |
| 001 |
10.1093-rfs-hhz023 |
| 008 |
220511s2019 CNT 000 0 und d |
| 020 |
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|a 08939454 (ISSN)
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| 245 |
1 |
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|a Dynamic Interpretation of Emerging Risks in the Financial Sector
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| 260 |
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|b Oxford University Press
|c 2019
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1093/rfs/hhz023
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| 520 |
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|a We use computational linguistics to develop a dynamic, interpretable methodology that can detect emerging risks in the financial sector. Our model can predict heightened risk exposures as early as mid-2005, well in advance of the 2008 financial crisis. Risks related to real estate, prepayment, and commercial paper are elevated. Individual bank exposure strongly predicts returns, bank failures, and return volatility. We also document a rise in market instability since 2014 related to sources of funding and mergers and acquisitions. Overall, our model predicts the buildup of emerging risk in the financial system and bank-specific exposures in a timely fashion. Received March 1, 2018; editorial decision November 18, 2018 by Editor Itay Goldstein. © 2019 The Author(s) 2019. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved.
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| 700 |
1 |
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|a Hanley, K.W.
|e author
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| 700 |
1 |
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|a Hoberg, G.
|e author
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| 773 |
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|t Review of Financial Studies
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