MétaCan
Menu
Back to cohort
Record W4327605266 · doi:10.18280/ijsdp.180204

The Financial Performance and Solvency Status of the Indian Public Sector Banks: A CAMELS Rating and Z Index Approach

2023· article· en· W4327605266 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBanking Sector Performance and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSolvencyIndex (typography)Financial systemBusinessPublic sectorAccountingFinanceEconomicsActuarial scienceEconomyMarket liquidityComputer science

Abstract

fetched live from OpenAlex

Recently, there has been much discussion about the importance of sound financial regulation and supervision in light of the increasingly integrated financial markets.CAMELS rating is an established method to compare the performance of banks and the performance of financial institutions.This study compares India's working public sector banks based on the CAMELS rating parameters.The solvency position and the probability of bankruptcy are also measured with the help of the Z score.Twelve banks have been selected for the study over 6 years between 2015 and 2021.Hence, this paper determines the performance and degree of insolvency among the working public sector banks.The findings from this study show that the banks' probability of insolvency has been reduced, and the return on assets is also recovered after negative ROA during the study period.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.214
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it