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Record W7005551274

The relationship between price of credit default swap contracts and economy performance : empirical evidence in Malaysia / Amar Zulkifli

2017· other· en· W7005551274 on OpenAlexaboutno aff

Bibliographic record

VenueUiTM Institutional Repositories (Universiti Teknologi MARA) · 2017
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Species Descriptions
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Credit default swapEquity (law)DefaultEmpirical evidenceInterest rateKuala lumpurIndex (typography)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Over the past few months, Malaysia has experienced economy turmoil and it became a worrying trend for investors. This study is an attempt to identify the performances of Malaysia economy performances towards the Credit Default Swap (CDS) price from first quarter of 2008 until second quarter of 2016. There are total of three explanatory variables used which are the equity market performance, interest rate and inflation. This three variables are represented by the Kuala Lumpur Composite Index (KLCI)' points, Overnight Policy Rate (OPR) and Consumer Price Index (CPI) respectively. On the other hand, CDS spread are used as the dependent variables in this study. The design of this research comprises 32 secondary data of each variables from first quarter 2008 until second quarter 2016. Furthermore, in the process of findings, the researcher is using E-view 8.1 software in order to generate all the output for analysis purposes. The results indicate that only two out of three predictors are significant related to the CDS spread. The overall study intends to contribute and give ideas to the future researcher, speculators, investors, and policy makers in their perspective about CDS and also to help them in decision making on the unpredicted investments in Malaysia.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.062
GPT teacher head0.272
Teacher spread0.210 · 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
Published2017
Admission routes1
Has abstractyes

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