PENGARUH EKSPEKTASI KEGIATAN USAHA TERHADAP INDEKS HARGA SAHAM GABUNGAN (Studi Kasus pada Bursa Efek Indonesia)
Bibliographic record
Abstract
The stock price reflect the performance of the company issuing the shares, not only at running time (t0) but also expectations for the future (t+). The intrinsic value of the stock is investor’s income in the form of dividends which depends on the income from business activities, so rating for effect of expectations of business activities can be seen as a reflection of expectations and risks to the performance of the company issuing the shares in the stock market which will affect stock prices, as reflected by Composite Stock Price Index (CSPI). This study aims to assess the effect of expectations of business activities on CSPI. The hypothesis is variables expectations of business activities individually or collectively affect the CSPI. Variable expectations of business activity expectation during the running time (t0) on business activity, financial condition and easiness access to credit and expectations in the future (t+) of business’s situation on three months ahead (t+3) and six months ahead (t+6). The study used survey data quarterly Kegiatan Dunia Usaha conducted by Bank Indonesia started from the first quarter of 2002 until the third quarter of 2016 and the data from Indonesia Stock Exchange Composite Stock Price Index after adjustment. Data taken from the publication of Bank Indonesia and Yahoo Finance. Hypothesis testing is using multiple regressionThe results of hypothesis testing found empirical evidence that the variable expectation of the company's financial condition of the present time and the expectation of business situation six months ahead have a significant positive effect on CSPI and business situation expectation over the next three months have a significant negative effect on CSPI. The variable of expectation of the current business activity and the expectation of easy access of credit have no significant effect to CSPI. All variable of expectation of business activity together have significant influence to CSPI. Keywords: Expectation of Business Activity, Composite Stock Price Index (CSPI).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".