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Record W2068132686 · doi:10.3905/jai.2009.11.4.057

Fair Value of Illiquid Securities: <i>Are We There Yet?</i>

2009· article· en· W2068132686 on OpenAlex
Espen Robak

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Alternative Investments · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsFair valueValuation (finance)Equity (law)BusinessAccountingEconomicsPrivate placementHybrid securityFinanceInvestment bankingLaw

Abstract

fetched live from OpenAlex

<i>When the adopting release for FAS 157 was published back in 2006, it was inconceivable to many how controversial the standards would become. It has since been deemed responsible for everything from bank failures to the sharp downturn in structured credit markets. Further, this new accounting standard does not require a single new fair value measurement, nor were most of its principles a major departure from pre-157 valuation practices. The optimism of 2006—an era of seemingly unlimited credit expansion, where deals with exotic names like Mantoloking and Ballantyne saw fantastically low yields and AAA ratings—has dissipated. It is always tempting to shoot the messenger, and financial accountants had an unpleasant job to do, with or without new accounting principles. With this background in mind, it is easier to see how the turn in the business cycle might have rather more to do with the calls for a suspension of FAS 157 than the actual principles of the standard. This article provides a detailed analysis of FAS 157 with emphasis on valuation hierarchy, exit price concept, and illiquidity discounts as they relate to auction-rate securities, restricted securities, LP interests, warrants, and convertible securities.</i> <i>“PEIGG is not a standard setting body and the FASB does tell us what fair value is and those are the rules we follow. Guidelines are fine, and it9s a start, but we9ve got to get to fair value.”</i> Private Equity Leadership Summit.<sup>1</sup> <b>TOPICS:</b>Real assets/alternative investments/private equity, security analysis and valuation, information providers/credit ratings

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.027
GPT teacher head0.257
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it