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Record W2057581683 · doi:10.5539/ijef.v4n4p148

An Analysis of the Recent Financial Performance of the Laotian Banking Sector during 2005-2010

2012· article· en· W2057581683 on OpenAlexvenueno aff
Phetsathaphone Keovongvichith

Bibliographic record

VenueInternational Journal of Economics and Finance · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAsset qualityProfitability indexContext (archaeology)BusinessMarket liquidityEarningsFinancial systemFinanceAsset (computer security)Public sectorRetail bankingCapital adequacy ratioEconomicsEconomyMarket economy

Abstract

fetched live from OpenAlex

Following the adoption of the New Economic Mechanism, banking sector reform was initiated as one of key components of economic reform policy in Laos. Since the process of reform began in Laos, banking sector has undergone significant changes and the performance of banks has improved significantly, especially in recent years. The banking sector reform, which was initiated by the Bank of the Lao PDR in the late 1980s, has brought a competitive environment for banking industry and banks are now offering a wide range of financial services and products to the public. In light of this development, this paper provides an overview of evolution and current structure and developments of the banking sector in the context of reform measures taken over the past two decades. The paper also analyses the financial performance of the banking sector by firstly examining the key financial development indicators and then uses a widely-used CAMEL framework surrounding capital adequacy, asset quality, management efficiency, earnings and profitability and liquidity to evaluate the financial performance. The results of this study is useful for assisting central bankers to know the strengths and weaknesses for formulating strategies and polices that will promote an effective and sound banking system.

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 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)0.000
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 score0.017
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.193
Teacher spread0.180 · 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 teacher head, 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

Citations28
Published2012
Admission routes1
Has abstractyes

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