Does Audit Quality Moderate the Relationship between Accounting Information and the Share Price? Evidence from Jordan
Bibliographic record
Abstract
Effect of accounting information on the share price has been having the share of attention from researchers for over six decades owing to the increasing of global financial crisis. Hence, this study attempts to contribute to literature by investigating such relationship in Jordan, a developing country. Specifically, this study investigates the relationship between the cash flow and accruals on share price of listed companies on Amman Stock Exchange for the year 2002 to 2014 also the effect of financial crisis on the share price before and after 2008. The model of this study was theoretically founded on both the agency and the signaling theories. To examine the developed model, the required data were gathered from the annual reports of 236 listed Companies. In analyzing the data, this study utilized the panel data methodology on 117 companies with 1521 observations. Moreover, this study used audit quality (audit firm size and audit tenure) as moderating variable. Based on the panel data results, the fixed effect model was used to examine the effect of the cash flows and accruals on the share price. The accruals and cash flows combined have significant effects on the share prices of the Jordanian companies listed on ASE. Audit quality, whether auditor’s firm size or auditor’s tenure, has significant moderating effect on associations of the share prices with accruals and with cash flows and the 2008 financial crisis had negative effects on share prices of the Jordanian companies listed on ASE. This study provides deep insights into relative usefulness of cash-based and accrual-based accounting measures and assist investors, regulators, analysts, and other stakeholders in evaluating the liquidity and financial performance of Jordanian companies listed on ASE, which may result in better allocation of economic resources by enabling the investors to take informed investment decisions, thus promoting a more efficient Jordanian capital market.
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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 | 0.005 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".