Indian Position on Undervalued Transactions: Analysing the ‘Material Facts’ Required to be Pleaded and Proved
Bibliographic record
Abstract
Companies approaching insolvency often transfer key assets at undervalued rates, potentially to the detriment of creditors. Therefore, to remain true to its purpose of value maximization for the creditors, insolvency laws in general and the IBC, in particular, contain provisions to claw back the assets so transferred for inadequate or no consideration under section 45 (‘undervalued transactions’). However, a quick review of the scheme for avoiding undervalued transactions in the IBC reveals that adequate balancing measures to differentiate between the depletion of assets arising from genuine business cycles and those caused by malfeasance have not been implemented. In fact, the principles enshrined in globally respected sources for national legislations, such as the UNCITRAL and the World Bank Guides, have not been given due consideration. In this backdrop, the Supreme Court’s mandate in Anuj Jain, IRP for Jaypee Infratech Ltd. v. Axis Bank Ltd to ‘plead’ and ‘prove’ material facts’ —a term not defined by the Court—for impugning undervalued transactions allows for some play in the joints to rectify this legislative omission. The present article aims to posit the possible content of 'material facts' that are to be pleaded under Section 45 of the IBC by drawing on a comparative analysis of laws from the United Kingdom, Canada, the United States of America, and Singapore. Finally, based on this analysis, it would be recommended that the status of the company as solvent during the alleged undervalued transaction, the role of the transaction in the insolvency of the company, and the debtor’s intent are the ‘material facts’ that must be considered by the tribunals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".