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Record W4400990443 · doi:10.69554/jgoo7054

The transition to T+1: Accelerated settlement cycles and progress so far

2023· article· en· W4400990443 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of securities operations & custody · 2023
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsnot available
Fundersnot available
KeywordsTransition (genetics)Settlement (finance)Computer scienceBiologyWorld Wide Web

Abstract

fetched live from OpenAlex

This paper examines the current momentum driving faster settlements in financial markets, specifically focusing on the shift from trade date + 2 (T+2) to trade date + 1 (T+1) settlement cycles. The U.S. Securities and Exchange Commission (SEC) and the Canadian Capital Markets Association plan to implement it in May 2024. His Majesty’s Treasury in the UK and the Association for Financial Markets in Europe (AFME) have both established taskforces to assess the feasibility of transitioning to T+1 settlement. This paper aims to provide readers with a comprehensive understanding of the accelerated settlement movement and its potential implications for global market participants. It will delve into the reasons behind the simultaneous adoption of this change across various markets, highlight the key changes being introduced in the US market, and explore its impact on market participants within the US. It will also address the consequences of accelerated settlement for international markets, raising critical factors that all market participants need to consider when facing settlement cycle changes. Practical recommendations to prepare for T+1 readiness will be offered. Readers can expect insights into the motivations driving the accelerated settlement movement, the key changes unfolding in major markets and the potential effects on international markets, ensuring preparedness for the forthcoming T+1 settlement era.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.020
GPT teacher head0.286
Teacher spread0.265 · 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