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Luciano Somoza

Personal Details

First Name:Luciano
Middle Name:
Last Name:Somoza
Suffix:
RePEc Short-ID:pso765
[This author has chosen not to make the email address public]

Research output

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Jump to: Working papers Articles

Working papers

  1. Hui Chen & Antoine Didisheim & Mohammad & Pourmohammadi & Luciano Somoza & Hanqing Tian, 2025. "A Financial Brain Scan of the LLM," Papers 2508.21285, arXiv.org, revised Feb 2026.
  2. Martina Fraschini & Andrea Maino & Luciano Somoza, 2022. "Can the Government Be an Effective Venture Capital Investor?," Swiss Finance Institute Research Paper Series 22-39, Swiss Finance Institute.
  3. Luciano Somoza & Antoine Didisheim, 2022. "The End of the Crypto-Diversification Myth," Swiss Finance Institute Research Paper Series 22-53, Swiss Finance Institute.
  4. Martina Fraschini & Luciano Somoza & Tammaro Terracciano, 2021. "Central Bank Digital Currency and Balance Sheet Policy," Swiss Finance Institute Research Paper Series 21-25, Swiss Finance Institute.
  5. Antoine Didisheim & Luciano Somoza, 2021. "Information Pools and Insider Trading: A Snapshot of America's Financial Elite," Swiss Finance Institute Research Paper Series 21-28, Swiss Finance Institute.
    repec:chf:rpseri:rp2219 is not listed on IDEAS

Articles

  1. Didisheim, Antoine & Fraschini, Martina & Somoza, Luciano, 2025. "AI’s predictable memory in financial analysis," Economics Letters, Elsevier, vol. 256(C).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Luciano Somoza & Antoine Didisheim, 2022. "The End of the Crypto-Diversification Myth," Swiss Finance Institute Research Paper Series 22-53, Swiss Finance Institute.

    Cited by:

    1. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
    2. Ms. Natasha X Che & Alexander Copestake & Davide Furceri & Tammaro Terracciano, 2023. "The Crypto Cycle and US Monetary Policy," IMF Working Papers 2023/163, International Monetary Fund.
    3. Kogana, Shimon & Makarov, Igor & Niessnerc, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," LSE Research Online Documents on Economics 122266, London School of Economics and Political Science, LSE Library.

  2. Martina Fraschini & Luciano Somoza & Tammaro Terracciano, 2021. "Central Bank Digital Currency and Balance Sheet Policy," Swiss Finance Institute Research Paper Series 21-25, Swiss Finance Institute.

    Cited by:

    1. Assenmacher, Katrin & Bitter, Lea & Ristiniemi, Annukka, 2023. "CBDC and business cycle dynamics in a New Monetarist New Keynesian model," Working Paper Series 2811, European Central Bank.
    2. Ahnert, Toni & Assenmacher, Katrin & Hoffmann, Peter & Leonello, Agnese & Monnet, Cyril & Porcellacchia, Davide, 2022. "The economics of central bank digital currency," Working Paper Series 2713, European Central Bank.
    3. Becker, Hendrik, 2026. "CBDC demand simulation across high and low inflation regimes," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 106(C).

Articles

  1. Didisheim, Antoine & Fraschini, Martina & Somoza, Luciano, 2025. "AI’s predictable memory in financial analysis," Economics Letters, Elsevier, vol. 256(C).

    Cited by:

    1. Alexander Eliseev & Sergei Seleznev, 2026. "Fake Date Tests: Can We Trust In-sample Accuracy of LLMs in Macroeconomic Forecasting?," Papers 2601.07992, arXiv.org, revised Mar 2026.
    2. Mehmet Caner & Agostino Capponi & Nathan Sun & Jonathan Y. Tan, 2026. "Designing Agentic AI-Based Screening for Portfolio Investment," Papers 2603.23300, arXiv.org.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BAN: Banking (2) 2022-04-11 2022-07-18. Author is listed
  2. NEP-FMK: Financial Markets (2) 2022-05-23 2022-07-18. Author is listed
  3. NEP-PAY: Payment Systems and Financial Technology (2) 2021-03-29 2022-07-18. Author is listed
  4. NEP-ACC: Accounting and Auditing (1) 2021-03-29
  5. NEP-AIN: Artificial Intelligence (1) 2025-09-08
  6. NEP-BIG: Big Data (1) 2025-09-08
  7. NEP-CBA: Central Banking (1) 2021-03-29
  8. NEP-CFN: Corporate Finance (1) 2022-05-23
  9. NEP-CMP: Computational Economics (1) 2025-09-08
  10. NEP-CWA: Central and Western Asia (1) 2022-04-11
  11. NEP-DEM: Demographic Economics (1) 2022-07-18
  12. NEP-ENE: Energy Economics (1) 2022-04-11
  13. NEP-ENV: Environmental Economics (1) 2022-04-11
  14. NEP-FDG: Financial Development and Growth (1) 2022-05-23
  15. NEP-INO: Innovation (1) 2022-05-23
  16. NEP-ISF: Islamic Finance (1) 2022-04-11
  17. NEP-MAC: Macroeconomics (1) 2021-03-29
  18. NEP-MON: Monetary Economics (1) 2021-03-29
  19. NEP-NET: Network Economics (1) 2021-03-29
  20. NEP-RMG: Risk Management (1) 2022-07-18
  21. NEP-SBM: Small Business Management (1) 2022-05-23
  22. NEP-TID: Technology and Industrial Dynamics (1) 2022-05-23

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