Direct real estate, securitized real estate, and equity market dynamic connectedness
Bibliographic record
Abstract
The paper’s objective is to scrutinize the dynamics of connectedness across returns of three markets, including direct real estate, securitized real estate, and stock markets. Through the connectedness index approach, the results indicate a significant degree of connectedness, which increases sharply during the recent global financial crisis. The net directional connectedness is volatile and time-dependent, yet the dominant shock transmitting role of the securitized real estate is pronounced during the GFC. While the direct real estate market plays as a dominant shock information receiver from the markets of securitized real estate and stocks in Australia, Canada, France, and the UK, it appears to shape other markets in the context of the US. Given the fact that the securitized real state is considered as the hybrid of the conventional real estate market and the stock market, we further note that the securitized real estate is more linked with its underlying market. Several implications for investors and policymakers are discussed.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".