The Capital Assets Pricing Model & Arbitrage Pricing Theory: Properties and Applications in Jordan
Bibliographic record
Abstract
This paper aimed to test the validity of capital asset pricing model (CAPM) and arbitrage pricing theory (APT) in Jordanian stock Market using three different firms of three main sectors, financial, industrial, and service sector for the period Q1 (2000) to Q4 (2016), using published information obtained from Amman stock exchange (ASE), these models were designed to measure the cost of capital using the coefficient of systematic risk factor, that used in the valuation of capital assets. We reviewed the most important similarities and differences between the two models out of sectors analysis. The study showed, first, there are some differences between the two models in term of the amount of systematic risk that can be eliminated by diversification in the three sectors. Second, the application of APT model showed that large percentage of risk can be eliminated by diversification more than CAPM model. Third, the banking sector in Jordan faces more systematic risks than other sectors.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".