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Record W7032954254

The Performance of Technical Trading Rules: A cross country approach

2011· other· en· W7032954254 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

VenueNottingham ePrints (University of Nottingham) · 2011
Typeother
Languageen
FieldSocial Sciences
TopicArchaeology and Rock Art Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBreakoutMoving averageExcess returnConvergence (economics)Transaction costDatabase transactionDivergence (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

This paper tests the performance of the seven commonly used technical trading rules: dual moving average crossovers, moving average convergence divergence, channel breakout rule, Bollinger bands, relative strength index, stochastic oscillator and directional movement index across six developed countries: USA, UK, Canada, Germany, Australia and Spain by using the data of three companies having highest market capitalization from each country. The period of study is from 1 January 2005 to 31 December 2010 and is divided into three sub-periods of two years each. Overall our results provide existence of positive excess returns over buy-hold strategy in all the countries for lower transaction cost and negative excess returns for higher transaction cost. Also most of the excess returns are negative during the sub-period 2007-2008 when there was recession in the developed countries. The Moving Average Convergence Divergence has outperformed every other rule. It has shown positive excess returns and positive Sharpe’s ratio across every company and in every sub-period. The Channel Breakout Rule shows positive excess returns and Sharpe’s ratio in many cases for the sub period 2005-2006 and the Dual Moving Average Crossovers shows positive excess returns and Sharpe’s ratio in many cases for the sub period 2009-2010. The performance of combination rules did not exceeded to that of Moving Average Convergence Divergence and was more than Channel Breakout Rule and Dual Moving Average Crossovers.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.005
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.257
Teacher spread0.235 · 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