Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

FR Y-9C

data category: Bank regulatory data · 0 papers in the last 7 days

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Supervisory filings and balance sheets of banks, deposits by branch and credit registers.

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Names searched for: FR Y-9C, Y-9C

Key findings#

  • From Nov 2023 to Oct 2026, 10 archived papers mentioned FR Y-9C in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2024 (2).
  • No paper of the tracked journals mentioned FR Y-9C in the last 30 days (2026-10-06 to 2026-11-04).
  • From 2017 to 2026 (so far), FR Y-9C was mentioned in 10 papers in the tracked journals, most of them in finance (7), accounting (2) and economics (1).
  • 4 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Aston University (1), Imam Mohammad ibn Saud Islamic University (1) and KU Leuven (1).
  • The journals publishing most of them were Review of Quantitative Finance and Accounting (3), Research in International Business and Finance (1) and Journal of Banking & Finance (1).
  • The most-cited of them is “Securitization and risk appetite: empirical evidence from US banks” (Review of Quantitative Finance and Accounting, 2024), with 7 citations.
  • Papers use FR Y-9C most often with Call Reports (6), Compustat (5) and 10-K filings (3); it has 4 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
23510

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 0 papers2024: 2 papers2025: 4 papers2026 (so far): 4 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Finance0000000223
Accounting0000000011
Economics0000000010
All categories0000000244

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Aston University1
2Imam Mohammad ibn Saud Islamic University1
3KU Leuven1
4McMaster University1
5Ming Chuan University1
6Montclair State University1
7National Taipei University1
8National Taiwan University1
9National Yang Ming Chiao Tung University1
10Northwestern Polytechnical University1
Countries with the most papers, since 2023
#CountryPapers
1United Kingdom6
2China2
3United States2
4Belgium1
5Canada1
6South Korea1
7Saudi Arabia1
8Taiwan1
9Vietnam1
Keywords with the most papers, since 2023
#KeywordPapers
1bank holding companies4
2banking regulation2
3earnings management2
4loan loss provisions2
5securitization2
610-K filings1
72008 financial crisis1
8CECL1
9Dodd-Frank Act1
10FinBERT1

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use FR Y-9C most often with Call Reports (6), Compustat (5) and 10-K filings (3); it has 4 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat. The whole network →

What papers use FR Y-9C together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
Call ReportsDataset6384.1
CompustatDataset533.1
10-K filingsDataset344.3
CRSPDataset329.4
Cite this page

Scholar4AI. (2026). FR Y-9C. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/fr-y-9c

@misc{scholar4ai-datasets-fr-y-9c,
  author = {{Scholar4AI}},
  title = {FR Y-9C},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/fr-y-9c}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).