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Record W2071163475 · doi:10.17722/ijme.v2i1.80

The Measurement of Impacts of Tax Rates on the Risk Level of Listed Viet Nam Banking Firms During 2009-2011

2013· article· en· W2071163475 on OpenAlexvenueno aff
Dinh Tran Ngoc Huy

Bibliographic record

VenueInternational Journal of Management Excellence · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)BusinessViet namCorporate governanceStock marketBanking industryFinancial systemAccountingFinanceEconomicsMonetary economicsEconomy

Abstract

fetched live from OpenAlex

The emerging stock market in Viet Nam has been developed since 2006 and affected by the financial crisis 2007-2009. This paperwork analyzes the impacts of tax policy on market risk for the listed firms in the banking industry as it becomes necessary. First of all, by using quantitative and analytical methods to estimate asset and equity beta of total 9 listed companies in Viet Nam banking industry with a proper traditional model, we found out that the beta values, in general, for many institutions are acceptable.Second, under 3 different scenarios of changing tax rates (20%, 25% and 28%), we recognized that there is not large disperse in equity beta values, estimated at 0,109, 0,108 and 0,107. These values are low and acceptable. Third, by changing tax rates in 3 scenarios (25%, 20% and 28%), we recognized equity beta mean value has positive relationship with the increasing levels of tax rate.Finally, this paper provides some outcomes that could provide companies and government more evidence in establishing their policies in governance.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.536
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.091
GPT teacher head0.306
Teacher spread0.215 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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