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Record W3086409704 · doi:10.5267/j.ac.2020.8.026

Investor sentiment by psychological line index and stock return

2020· article· en· W3086409704 on OpenAlexvenueno aff
Lai Cao Mai Phuong

Bibliographic record

VenueAccounting · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFinancial Markets and Investment Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsStock (firearms)Stock exchangeFinancial economicsHo chi minhStock marketIndex (typography)EconomicsStock market indexEconometricsBehavioral economicsBusinessMonetary economicsFinanceDemographic economicsComputer science

Abstract

fetched live from OpenAlex

This article examines 57 companies listed on the Ho Chi Minh City Stock Exchange from January 1, 2015 to March 31, 2020, to check whether or not investors' sentiment impacts the return of these stocks. Investor's daily sentiment towards each stock was measured by the psychological line index. The results of the study using both regression methods, Fama-MacBeth and General Least Squares, show that the influence of investor sentiment to return stocks in the stock market was significant and could not be ignored. Besides, the psychological factor of investors, their trading behavior causing stock supply-demand imbalance were all important factors affecting stock return. The study also found that the effect of firm size on stock returns was more pronounced when both investor sentiment and behavior were used in research models. The finding from this study suggests that individual investors who trade stocks every day can use psychological line index, which is one of the groups of decision-making indicators.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.049
GPT teacher head0.243
Teacher spread0.194 · 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.

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

Citations8
Published2020
Admission routes1
Has abstractyes

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