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Record W2073058710 · doi:10.5539/ibr.v2n2p218

Market Discipline in Post- Transformation Era: A Study on Banking Sector

2009· article· en· W2073058710 on OpenAlexvenueno aff
Sathya Swaroop Debasish, Bhagaban Das

Bibliographic record

VenueInternational Business Research · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringMarket disciplineFinancial systemBanking industryPrivate sectorBusinessSample (material)Public sectorRetail bankingEconomicsMonetary economicsAccountingEconomyFinanceEconomic growth

Abstract

fetched live from OpenAlex

This paper attempts to investigate the existence of Market Discipline in the Indian commercial banks over the period 2001-2008 i.e., 7 years. This period is characterized by second round of banking sector reform as suggested by Narsimham Committee for banking restructuring and market discipline. A total of 63 scheduled commercial banks were taken as the sample size which included 27 public sector banks, 23 private banks and 13 foreign banks. Two dependent variables viz. total deposits held by banks and interest paid on deposits to total deposit ratio are considered in this study. We hypothesize that the dependent variables in this study, which signifies the existence or otherwise of market discipline depends on three sets of variables: a) bank-specific; b) banking industry level; and c) macroeconomic. The findings show that while bank-specific factors, and in particular, policy variables, in addition to bank-specific indicators tend to be dominant in case of private banks. For foreign banks, the macroeconomic conditions tend to overwhelm bank-specific factors in explaining behavior of depositors. This provides testimony of market discipline in the banking sector in India.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.340
Teacher spread0.279 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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