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Record W1519986109

An Investigation of the Day-of-the-Week Effect on the Istanbul Stock Exchange of Turkey

2010· article· en· W1519986109 on OpenAlexaboutno aff
Ravindra Kamath, Chinpiao Liu

Bibliographic record

VenueJournal of international business research · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsNames of the days of the weekStock exchangeEmpirical evidenceStock marketStock (firearms)EconomicsEquity (law)Demographic economicsDemographyFinancial economicsGeographyPolitical scienceFinanceSociology
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Until about fifteen-twenty years ago, empirical evidence has steadfastly indicated that equity market returns depend on day of week. For U.S. market indicators, documented evidence had suggested a significantly negative and lowest rate of return on Mondays and a diametrically opposite pattern on last trading day of week. A comparable evidence of day-of-the-week anomaly has also been documented for both developed and developing markets around world. Kamath, et al. paper (1998) presents a table of empirical findings regarding this anomalous in Australia, Canada, Finland, France, Germany, Greece, Italy, Netherlands, Spain, Sweden, Switzerland, United Kingdom, Hong Kong, Japan, Korea, Malaysia, New Zealand, Philippines, Singapore, and Thailand. More recently, some researchers have questioned findings reported by utilizing OLS methodology (see for example Connolly (1989), Chang, et al. (1993) and Dubois and Louvet (1996)). However, reliance on a robust econometric technique to observe day-of-the-week has not always succeeded in disputing OLS findings. For example, while Alexakis and Xanthakis (1995), and Kamath, et al. (1998) papers concluded that evidence on anomalous was not dependent on methodology, Chen, et al. (2001) study noted that their findings of Chinese stock market were dependent on estimation method as well as period of study. The purpose of this study is to present empirical evidence on day-of-the-week on Istanbul Stock Exchange of Turkey. The secondary objective is to determine if conclusions regarding presence of such an are dependent on methodology adopted as well as sample period itself. To meet these objectives, we rely on most recent 60-month period from January 2003 through December 2007. The rest of paper is organized as follows. A brief review of literature on subject at hand is contained in next section. The data and methodologies utilized are described in third section. The findings of this investigation are reported in fourth section. A brief summary of paper is included in last section. PREVIOUS RESEARCH Abundant empirical evidence concerning day-of-the-week as well as other seasonal anomalies in equity markets can be found in finance literature. Specifically, some of most cited articles on subject (French (1980), Gibbons and Hess (1981), Keim and Stambaugh (1984), Jaffe and Westerfield (1985) and Lakonishok and Smidt (1988)) have noted that market indicator returns tend to be dependent on day of week. For example, Lakonishok and Smidt (1988) have reported that such on anomaly existed in each of their ten sub-periods dating back to 1897 for Dow Jones. By and large, methodology of choice in earlier studies was standard OLS formulation. Connolly (1989) questioned evidence of such an based on OLS methodology since he believed that distributional attributes of equity market data were inconsistent with underlying assumptions of OLS technique. Connolly also noted that interpretation of findings of studies which relied on very large sample sizes could have been distorted. In particular, he indicated that in such cases, F-tests tend to reject null hypothesis too often. Connolly's study concluded that intensity of day-of-the-week in U.S. markets had reduced considerably after 1975. Indeed studies of Keim and Stambaugh (1984), Rogalski (1984), Smirlock and Starks (1986), and Condoyanni, et al. (1987) detected reduced intensity of such an in post-1975 sub-periods of their respective studies. Chang, et al. (1993) study confirmed that the effect had become insignificant in U.S. as well as in Belgium, Denmark and Germany during 1986-1992 period upon adjusting for OLS error term or sample size. …

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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)0.001
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.073
GPT teacher head0.307
Teacher spread0.234 · 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".

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Citations5
Published2010
Admission routes1
Has abstractyes

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Same venueJournal of international business researchSame topicFinancial Markets and Investment StrategiesFrench-language works237,207