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Record W305112008

Företag i finansiell kris och konkurs

2012· article· sv· W305112008 on OpenAlexaboutno aff
Karin S. Thorburn

Bibliographic record

Venuenot available
Typearticle
Languagesv
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyCommon value auctionCreditorBusinessControl (management)Agency costExtant taxonDebtAccountingEconomicsFinanceMicroeconomicsCorporate governanceManagement
DOInot available

Abstract

fetched live from OpenAlex

In Sweden, firms that file for bankruptcy are all auctioned off either piecemeal or as going concerns. Upon filing, managers lose control of the firm. In contrast, in the U.S. managers retain control by selecting to renegotiate the financial claims on the firm under court-supervision (Chapter 11). This thesis addresses the ongoing debate as to whether a Chapter 11-style renegotiation option is valuable to the firm’s securityholders. The optimal bankruptcy system depends on how well the auction system itself functions as well as on the extent to which managers misuse the renegotiation option to their own benefit (the agency problem). While there is substantial evidence on Chapter 11 cases, the thesis provides some first evidence on the workings of a pure auction system using Swedish data.The first essay examines direct costs, creditor recovery rates and auction premiums in Sweden, and compares the results to extant evidence on U.S. Chapter 11 cases. Overall, the results suggest that mandatory auctions provide a relatively cost-efficient bankruptcy procedure, producing recovery rates that are similar to those reported for much larger firms in Chapter 11. Moreover, auction premiums are significant and tend to increase with industry distress, which contradicts arguments that financially distressed firms sell assets below their true value.The second essay provides some first evidence on managerial compensation, turnover and corporate performance following Swedish bankruptcy auctions. The evidence indicates that mandatory auctions act as a substantial managerial disciplinary force: CEOs typically incur significant compensation losses and a majority of CEOs lose their job through the auction. Nevertheless, the operating profitability of the auctioned firms is typically at par with industry norms. Thus, although CEO wealth effects and turnover rates are dramatic, there is little support for the argument that managers in an auction bankruptcy system tend to delay filing at the detriment of the firm's going concern value.Essays three and four take a broader perspective on corporate restructurings. The third essay examines alternative econometric explanations for the lack of stock market gains to bidder firms reported in the literature. The analysis, which uses a large sample of Canadian targets, provides new evidence consistent with the proposition that the measured gains to relatively large, frequent acquirors reflect an attenuation bias produced by event-study econometrics. Moreover, the results suggest that mergers between relatively equal-sized firms, and which have not generated anticipation of future acquisition activity, tend to produce significantly positive bidder gains. This supports the use of mergers also as an alternative to bankruptcy.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.065
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0120.003
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0650.046

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 head0.022
GPT teacher head0.211
Teacher spread0.189 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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