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Record W7058171314

Market manipulation in Kuwait stock exchange : an analysis of the regulation of market manipulation prior and under Law no. 7 of 2010

2014· article· en· W7058171314 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFigshare · 2014
Typearticle
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsColumbia College
Fundersnot available
KeywordsMarket manipulationHarmInsider tradingEnforcementCivil law (Civil law)Law enforcementStock marketInsiderCorporate governance
DOInot available

Abstract

fetched live from OpenAlex

There are many practises that affect and harm the integrity of financial markets. These
\nacts fall under the general title of ”Market Abuse”. This title can be divided into two
\nmain forms, insider dealing and market manipulation. This research primarily aimed at
\nexploring the regulation of market manipulation in Kuwaiti law. Market manipulation
\npractises came under regulation for the first time via Law No. 7 in 2010. Therefore, it is
\nessential to differentiate between the periods; before and after the issuance of this law.
\nHence, there are four main objectives to this study: 1) define market manipulation and
\nits common forms, 2) explore the applicability of criminal and civil Kuwaiti law to
\nmarket manipulation practises prior Law No. 7, 3) critically evaluate how well this law
\ncovers the forms of market manipulation identified and 4) evaluate how effective the
\nlaw is through its enforcement and implementation.
\nTo achieve these objectives, different methods have been followed. Overall, this
\nresearch follows a critical analysis approach. In addition, the extant literature has been
\nexplored. The evaluation of Law No. 7 has been conducted using the more established
\nregulatory law, the FSMA 2000, was taken as a basis for the analysis and evaluation.
\nIt has been found that prior to Law No. 7 of 2010, regulation of market manipulation
\npractises was almost non-existent. Law No. 7 of 2010 does largely cover most forms of
\nmarket manipulation, excluding stabilizing the security price and information based on
\nmanipulation of forms. Civil penalties, as compared with those in the UK, tend to be
\nlenient, which may prove problematic in deterring manipulative practises. Judges in
\ngeneral also lack the experience and confidence to apply and enforce sanctions
\nregarding manipulative practises yet it must be noted that the law has not been in action
\nfor very long. Thus, it is recommended that the fourth objective of the study be repeated
\nafter the law has been in place for several years to reassess its success in combating
\nmanipulative practises.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.021
GPT teacher head0.234
Teacher spread0.213 · 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