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Record W2114467007 · doi:10.1080/00036840600970237

The inflation-hedging properties of Turkish REITs

2008· article· en· W2114467007 on OpenAlexaff
Işıl Erol, Doğan Tırtıroğlu

Bibliographic record

VenueApplied Economics · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsConcordia University
Fundersnot available
KeywordsReal estate investment trustEconomicsTurkishHedgeInflation (cosmology)Real estateMonetary economicsFinancial economicsStock (firearms)Stock marketEconometricsFinance

Abstract

fetched live from OpenAlex

This study empirically tests the inflation-hedging abilities of Turkish REITs in comparison to the indices of common stocks listed on the Istanbul Stock Exchange (ISE) over the period December 1999 to December 2004. Two main factors motivate this study. First, compared to their counterparts in developed capital markets, Turkish REITs have some important tax incentives as well as flexibility in managing their portfolios. Second, the Turkish economy provides a rare and good opportunity to test the hedging behaviour of real estate stocks in periods of both high- and moderate-inflation rates. The empirical results show that Turkish REITs, in general, provide a better hedge against both actual and expected inflation than do the ISE common stock indices. Dividing the entire sample period into the high- and moderate-inflation sub-periods, we find that the hedging ability of REITs is better under high inflation than under moderate inflation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.036
GPT teacher head0.171
Teacher spread0.135 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations22
Published2008
Admission routes1
Has abstractyes

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