The effect of financial distress on stock returns, through systematic risk and profitability as mediator variables
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to determine the relationship between financial distress and systematic risk, the relationship between financial distress and profitability, the relationship between systematic risk and stock returns, the relationship between profitability and stock returns, and the indirect effect between financial distress and stock returns through systematic risk and company profitability. by collecting data on the Indonesia Stock Exchange on chemical companies and the element industry in 2018-2020. This study was conducted to find out the answers to the impact caused by the global economic turmoil. Using the PLS-SEM method and four latent variables, which are divided into one endogenous variable, two moderating variables and one exogenous variable, it is hoped that it can provide value for the statistical calculation activities carried out. This study uses a quantitative descriptive method with two moderating variables that link financial distress and stock returns. This study produces a specific indirect effect; the financial distress variable significantly impacts Stock Return through systematic risk and profitability variables with a p-value < 0.05. The main finding of this study is the significant impact of world economic turmoil that must be faced by creating systematic risk to convince. Investors and provide education to potential investors.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it