The structural architecture behind the G-Score — a three-axis decomposition of governance risk designed for the ownership realities of Asian capital markets, rendered on a single comparable scale and built entirely from publicly verifiable regulatory filings.
A company can disclose everything honestly and still be controlled by a single family. It can have a pristine independent board and still funnel value through opaque subsidiaries. It can have no visible conflicts of interest and still delay its filings for six quarters running. Each of these is a different pathology. Each damages shareholders in a different way. None of them is captured by the others.
Frameworks that average governance into a composite score hide this. A firm strong in two dimensions and catastrophic in the third emerges middling — a number that looks like safety but describes nothing real. The component that will eventually fail gets averaged into the components that will not.
The G-Score decomposes governance into three independent axes, each measuring a distinct driver of shareholder loss, each predicting a different type of failure.
The three axes are designed to be orthogonal — independently measurable, independently predictive of different failure modes. A company is scored separately on each; the composite only emerges after each dimension is priced on its own terms.
Transparency is the precondition for everything else. Before investors can judge a company’s power structure or its conflicts, they must be able to observe them. Markets that reward disclosure discipline reveal their governance in real time; markets that tolerate disclosure drift defer that reckoning to a crisis.
The T-axis reads disclosure behavior the way auditors do — through its anomalies. Filing slippage, audit-opinion patterns, restatements, corrections, and the quiet gaps between what a company voluntarily says and what its regulator compels it to say. Compliance with governance codes is observed not at the level of stated adoption but at the level of substantive follow-through.
Asian capital markets differ from their Anglo-American counterparts most visibly in their ownership structures. Controlling families, founding groups, state holdings, and multi-generational shareholder coalitions are not exceptions here; in most markets, they are the norm. The question is not whether concentration exists — it almost always does — but whether the institutional checks against it are real or nominal.
The B-axis measures whether board independence is structural or cosmetic, whether committees function or merely exist, whether the separation between chair and chief executive reflects authority or only titles. In ownership-concentrated markets, these are the mechanisms that determine whether minority shareholders’ capital is protected or quietly redirected.
The third axis is the one that most often leads. It measures the distance between the company’s cash flows and the interests of its public shareholders — the web of related-party transactions, intercompany loans, cross-shareholdings, director interlocks, auditor relationships, and undisclosed-affiliate structures that together define whether value is extracted before it reaches the minority float.
This is where governance pathology most often first appears and where it most reliably predicts. Structural conflict signals typically accumulate for quarters before they surface in financial statements; by the time a distress event is priced in, the R-axis will usually have registered it long before.
Each company is rendered to a single score on a unified 100-point scale, segmented into five base grade labels with an additional override tier. The structure is universal across all eight live markets; the variables feeding each axis are locally calibrated so that governance dimensions material in each jurisdiction are appropriately weighted — without sacrificing comparability of the final score.
Most governance frameworks emerged from the structures of a single capital market — calibrated against the disclosure conventions, ownership norms, and regulatory bandwidth of that home market. Adapting them to other jurisdictions requires market-by-market translation; running portfolio-level decisions across them requires ongoing bilateral comparison.
The G-Score’s universal axis architecture, paired with locally calibrated variables, holds a Korean issuer and a Thai issuer on the same ruler from inception. A Grade A company in Tokyo, in Mumbai, or in Manila sits at the same governance threshold — the same discipline, judged on the dimensions that are actually material in each jurisdiction. Portfolio allocation across Asia becomes one decision instead of eight.
The grade labels identify governance tiers; the numeric boundaries between them are empirically calibrated from cross-market distress event data and are held within the subscription product. The labels are public; the geometry is not.
The grade captures overall governance quality; the archetype captures its shape. Two companies with similar total scores can have radically different risk profiles depending on which axes are strong and which are weak. Five archetypes describe the patterns most commonly observed across Asian capital markets.
The Kill Switch is not a bottom grade. It is a separate tier, triggered when specific combinations of regulatory-observable signals indicate that ordinary governance assessment no longer applies — that the structural conditions for minority-shareholder protection have already broken down.
A company can carry an acceptable base G-Score and still enter Kill Switch tier. The override exists because linear scoring cannot express certain patterns: situations where the combination of signals — individually tolerable, jointly catastrophic — produces a non-linear jump in failure probability.
The categories below describe the universal framework. The triggering thresholds are locally calibrated to each market’s regulatory conventions and are held within the subscription product; publishing them would allow them to be structurally avoided without the underlying pathology being remedied.
The framework is one of three canonical explanations of the Apex G-Score. The other two sit one step further: the evidence that it works, and the markets in which it has been validated.