Modelling structural changes in relations between returns of selected REIT indexes
Bibliographic record
Abstract
We have investigated the relations between 8 selected countries’ (USA, Canada, Japan, Australia, Hong Kong, Singapore, UK and France) daily returns of the REIT (Real Estate Investment Trust) indexes in the time period January 3, 2000 – May 8, 2012, divided in 3 subperiods bounded by the recent global financial market crises (July 1, 2008 – April 30, 2009). We have observed that in the postcrisis subperiod the influence of the delayed values (by 1 day) of the returns of the US REIT index on the REIT indexes of Japan and Australia greatly increased, while the same effect did not take place for the remaining (even East Asian) REIT indexes. We used the copula approach for fitting the optimal models for the investigated relations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.023 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".