Decoding RaymondsIndex: CGI and MAI, Explained Through Two June Filings

This week handed us two clean teaching cases — one from Seoul, one from Mumbai — for the two RaymondsIndex signals investors most often ignore until it's too late: Cash Governance (CGI) and Momentum Alignment (MAI).

The Seoul case: where did the raised cash go?
A KOSDAQ-listed materials company resolved to issue ₩10 billion of unsecured private-placement convertible bonds. The stated purpose was not capital expenditure, not R&D, not debt repayment — it was the acquisition of securities in other companies. Half of the issue, ₩5 billion, was subscribed by an investment entity identified as a related party of the firm's largest shareholder. Capital was raised from the market and routed, in part, back through the controlling network — into financial holdings rather than the operating business.

This is precisely what CGI is designed to detect. Cash Governance asks a deceptively simple question: once a company raises money, does it actually reach the business? CGI weights idle-cash ratios, short-term financial-instrument balances, and the conversion rate of raised funds into productive use. A low CGI score is the early signature of capital that has been raised but parked, lent, or recycled — the "interest-play" pattern, where financing exists but reinvestment does not.

The Mumbai case: does revenue match reality?
India's market regulator issued an interim order alleging that a major gold exporter misrepresented roughly ₹15 trillion of consolidated revenue over FY21–FY25, attributing outsized figures to an overseas subsidiary whose own audited financials reflected only a fraction of those numbers. The investigation reportedly began with a single shareholder's complaint about receivables outstanding for more than two years.

That is a textbook MAI breakdown. Momentum Alignment measures the coherence between reported revenue growth and real investment intensity (CAPEX). When revenue accelerates while the underlying investment base does not — when the top line grows but the plant, equipment, and documented activity behind it do not move in step — the divergence is a leading marker of earnings manipulation. A regulator needs years and a forensic audit to confirm it. A momentum-alignment signal sees the divergence in the cadence of the numbers themselves.

The Korea parallel.
Across the 3,109-company RaymondsIndex dataset, relational signals flagged distress with 85.9% accuracy before the financial statements moved — an effect size of d>0.8. The Korean and Indian filings are not exotic outliers; they are two visible instances of patterns the model treats as routine. The CB lights up CGI. The revenue gap lights up MAI.

Academic frame.
The intuition is well grounded. Dittmar and Mahrt-Smith (2007, Journal of Financial Economics) showed that the same dollar of cash is worth far less inside poorly governed firms — markets discount cash precisely when governance lets it detour. On the revenue side, Beneish (1999, Financial Analysts Journal) demonstrated that the relationship between accruals, asset quality, and growth could systematically separate likely earnings manipulators from honest reporters years before enforcement. Both literatures converge on the RaymondsIndex thesis: the relationship pattern precedes the restatement.

For the individual investor.
The lesson is not "read filings more carefully." By the time the filing or the regulator confirms it, the information asymmetry has already done its work, and the minority shareholder has already paid for it. The practical edge is to watch the leading signals — where raised cash actually lands (CGI), and whether revenue growth is backed by real investment (MAI) — rather than waiting for the balance sheet to catch up. The financial statements show it last. The relationships show it first.

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