SMID Research · Singapore & Asia small-mid cap library

Methodology

Every company evidence library starts from a required primary-source checklist, with retained sources and material retrieval gaps disclosed at the page's information cut-off. Review depth varies by page; a source pack, full spread or independent review is claimed only when that artefact exists. Public evidence pages contain no equity ratings, price targets, fair values or buy/sell/hold recommendations. Independently derived credit views, where present, are explicitly labelled as non-official.

The pipeline aims to keep every load-bearing figure traceable to retained evidence and to label what cannot be fully closed. New to the pages? Start with how to read an evidence library.

The pipeline

  1. Source checklist. Issuer and exchange announcements, annual and interim reports, relevant circulars, debt and rating documents, and regulatory or industry sources are checked to the stated cut-off. The retained pack and material retrieval failures are named; a configured monitor is not treated as proof that the tape was completely scanned.
  2. Spread. Where the analytical scope requires it, financial statements and segment data are re-keyed from primary filings rather than imported from an aggregator. The page or assurance note states the period and perimeter actually covered. Aggregator figures, where used, are labelled (E) and are not load-bearing.
  3. Segment economics. Segments are analysed on capital efficiency (return on segment assets and on net capital employed) and complementarity — how the segments feed each other — not just margin.
  4. Curious pass and skeptical pass. One pass hunts for what the accounts quietly show (inter-segment flows, fee-derived volume proxies, language deltas in successive outlook statements); a second pass attacks the emerging view — every analytical claim must survive a named best-alternative explanation.
  5. Quality control. Cross-footing, cash-flow or balance-sheet reconciliation and claim-to-source review are applied to the artefacts the page carries. Observable controls are reported on the quality dashboard; their presence does not certify accuracy or source completeness.

Evidence grading

TagMeaningExample
RRead directly from a primary documentA segment table from an audited annual report
DDerived arithmetically from R inputs; the derivation is shownReturn on net capital employed, recomputed from the segment note
GGuidance stated by management, dated to the sourceA volume, margin or capital-spending range in a results announcement
EExternal or secondary source; treated as unverified colourPress citations of ministry statistics that the ministry itself does not publish
OOpinion or judgement; flagged as such at the point of useAn assessment of management bench depth
FAn analyst forecast, distinct from company guidanceA modelled forward estimate shown with its assumptions

Industry economics before comparison

The industry economics map groups companies by a shared causal mechanism, not by a ready-made valuation peer set. Each company is mapped through demand, pricing, capacity, cost or funding and the next observable. A comparison is used only after period, perimeter, unit, accounting, ownership and business mix are reconciled; otherwise it remains a question to test rather than a number transferred into the company.

For funded lenders, the map separates customer or pledge volume from average ticket and collateral-price effects. For finite-life assets, it separates current cash generation from asset ageing, replacement and funding. For project businesses, it follows order book through margin, working capital and cash. This is why a large market, rising asset value or growing backlog does not by itself prove value creation.

Data and news scanning

Each company has a dated information cut-off. A reliable update scan distinguishes issuer, exchange, debt, rating, regulator and causal-industry sources, and records the newest item seen plus any access or pagination limitation. “Monitoring” means the page remains in the maintained library; it does not mean every later filing has been processed. The quality dashboard separately shows which advertised pages currently have an automated official-tape source configured.

Falsifiers

Where a page carries an analytical hypothesis or forecast, it should name the future disclosure or threshold that would confirm or refute it and, where knowable, the expected date. If a claim cannot name a falsifier, it should be narrowed or labelled opinion. This makes the claim gradable when the next relevant evidence arrives.

What the public site deliberately does not do

Independence, conflicts and how the work is produced

Common questions

Does SMID Research publish ratings, price targets or fair values?
Not on any public page. The public evidence libraries describe a business, its economics, funding and risks from primary filings and name the disclosures that would settle the open questions. Separate access-controlled working research exists and is not available for distribution.
Is this investment advice?
No. Everything on the public site is general-circulation information. It does not take into account anyone's objectives, financial situation or needs, and it makes no recommendation to buy, sell or hold any security. Readers should consider suitability with a licensed financial adviser.
Where do the figures come from?
Principally from retained issuer and exchange filings, supplemented by identified debt, regulatory and industry sources. The exact period and source scope varies by page and material retrieval gaps should be named. The R/D/G/E/O/F taxonomy distinguishes reported, derived, guidance, external, opinion and forecast claims where the page uses those labels.
How do I know when a page was last updated, and what changed?
Each page states its information cut-off date in its status line. Pages with a corrections section record substantive changes there, and the Atom feed lists library changes newest first. The quality dashboard shows corrections-section coverage across advertised pages.
Can I ask whether to buy, sell or hold, or about my own holdings?
No. Questions about a company, its filings or the research method, factual corrections and suggestions for companies to cover are welcome. Anything touching an individual's own position, portfolio, timing or trading decision is not answered, however it is phrased.
Is the research produced with AI?
Yes. AI assists collection, extraction, reconciliation, drafting and adversarial review, but it is not a source. The intended discipline is that load-bearing figures remain traceable to retained evidence and limitations are stated. Review depth is page-specific; an independent review is claimed only where a dated assurance note records it. Errors still happen and are corrected with a dated note.
Can I cite or reuse the material?
Yes, for search, reference and AI-grounding use, with a link to the canonical page and the page's stated information cut-off. Figures are as-filed by the issuers and may be superseded by later filings. Model-training use is not permitted; the crawler policy is in llms.txt.

Corrections

Errors, once identified, are corrected in place with a dated correction note describing what changed and why. Where a prior figure was materially wrong, the wrong figure is shown struck through alongside the correction — the record of having been wrong is part of the record.

Questions, corrections and stock ideas

Readers can contact SMID Research with company questions, primary-source corrections and ideas for undercovered listed companies. Messages may inform a dated update to the evidence library, but neither an individual reply nor future coverage is guaranteed.