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Record W2027990387 · doi:10.5539/ijef.v3n1p283

Inter-Bank Call Rate Volatility and the Global Financial Crisis: The Nigerian Case

2011· article· en· W2027990387 on OpenAlexvenueno aff
Rufus Ayodeji Olowe

Bibliographic record

VenueInternational Journal of Economics and Finance · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Risk and Volatility Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsStock market crashVolatility (finance)Financial crisisInterbank lending marketEconomicsStock marketAutoregressive conditional heteroskedasticityVolatility clusteringCrashMonetary economicsFinancial economicsInterest rateMacroeconomics

Abstract

fetched live from OpenAlex

This paper investigated the volatility of interbank call rates in Nigeria using GARCH (1, 1), EGARCH (1, 1), TS-GARCH (1, 1) and PARCH (1, 1) models in the light of the stock market crash and global financial crisis. Using data over the period, June 11, 2007 and May 20, 2009, volatility persistence and asymmetric properties are investigated for the Nigerian interbank call money market. The result shows that volatility is persistent. The hypothesis of asymmetry and leverage effect is rejected. It is found that the Nigerian interbank call money market returns show high persistence in the volatility but it shows clustering properties. The result shows the stock market crash and global financial crisis have impact on interbank call rate return but not on its volatility. The stock market crash and global financial crisis could have accounted for the sudden change in variance. The augmented TS-GARCH (1, 1) model is found to be the best model.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.230
Teacher spread0.196 · 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 designTheoretical or conceptual
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

Citations7
Published2011
Admission routes1
Has abstractyes

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