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Accounting based valuation models: what have we learned?

2004· article· en· 101 citations· W2059946741 on OpenAlex· 10.1111/j.1467-629x.2004.00109.x

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Meta-epidemiology (narrow), Scholarly communication
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Simulation or modelingConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.666
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.005
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.092
GPT teacher head0.307
Teacher spread
0.214 · how far apart the two teachers sit on this one work
Validation status
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

Abstract

Abstract The present survey article formed the basis of a presentation by G. Richardson to the 8 July 2003 plenary session of the Accounting and Finance Association of Australia and New Zealand Conference in Brisbane, Australia. The present article reconciles the historical and forecasting branches in the published accounting literature. Prior survey articles have primarily focused either on the historical branch or the forecasting branch. While these approaches have yielded useful insights, they do not attempt to synthesize the link between the two branches of the published literature. An obvious link between the two branches is that the Ohlson model begins with the Residual Income Model as an initial assumption. We believe that there are other links that need further emphasis. In the process, we also review the empirical issues and the evidence within these two branches. We know of no paper to date that has surveyed the empirical evidence on both the historical and forecasting branches of the published literature. In particular, we draw inferences on the following question: on balance, what have we learned from nearly a decade of research on accounting based valuation models and its applications?

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.

The record

Venue
Accounting and Finance
Topic
Financial Reporting and Valuation Research
Field
Business, Management and Accounting
Canadian institutions
University of Toronto
Funders
not available
Keywords
Valuation (finance)AccountingAccounting researchEmpirical evidencePresentation (obstetrics)EconomicsEconometricsActuarial scienceEpistemology
Has abstract in OpenAlex
yes