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Record W3210822565 · doi:10.1080/00036846.2021.1994125

Direct real estate, securitized real estate, and equity market dynamic connectedness

2021· article· en· W3210822565 on OpenAlexaboutno aff
Thi Thu Ha Nguyen, Faruk Balli, Hatice Ozer Balli, Iqbal A. Syed

Bibliographic record

VenueApplied Economics · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsSocial connectednessReal estateReal estate investment trustEquity (law)Financial economicsEconomicsStock marketCapitalization rateShock (circulatory)BusinessMonetary economicsContext (archaeology)FinanceGeography

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2021
Admission routes1
Has abstractyes

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