Showing posts with label regulatory capture. Show all posts
Showing posts with label regulatory capture. Show all posts

Sunday, August 16, 2026

The MSME Credit Black Hole: Failure of the Magna Carta

 

The end cannot justify the means for the simple and obvious reason that the means employed determine the nature of the ends produced—Aldous Huxley 

In this issue:

The MSME Credit Black Hole: Failure of the Magna Carta

I. The Magna Carta: The Policy and Its Promise

II. The Empirical Test

III. Why MSME Lending Became Relatively Less Attractive

IV. When The State Makes The Intended Borrower Less Bankable

V. Where Did the Bank’s Capacity Go?

VI. Why The Architecture Keeps Reproducing Itself

VII. Where The 2026 BSP Relief Cascade Fits

VIII. Conclusion: Three Symptoms, One Structure

The MSME Credit Black Hole: Failure of the Magna Carta 

How a Credit Quota Failed to Change the Architecture of Financial Concentration 

I. The Magna Carta: The Policy and Its Promise 

Enacted in 1991 through Republic Act 6977, the Magna Carta for Small Enterprises was built around a simple structural diagnosis: banks naturally preferred larger, more established borrowers, leaving smaller businesses chronically short of formal credit. Congress tried to override that bias by mandating that banks devote a share of their lending to small enterprises. 

The framework was strengthened in 1997 and expanded again through RA 9501 in 2008, which established the familiar 8% allocation for micro and small enterprises and 2% for medium enterprises, for a combined 10% mandate, backed by penalties for noncompliance. 

The law is the anchor. Whether it worked is an empirical question. 

The data has been answering it for sixteen years. 

II. The Empirical Test


Figure 1

MSMEs account for roughly 99.6% of businesses and about 67% of employment, yet bank lending to the sector has remained stubbornly below the share Congress intended to force into the system. (Figure 1)


Figure 2

MSME lending's share of the banking system's loan portfolio peaked near 8.4% in Q1 2010. It then fell in an almost uninterrupted decline. It kept falling after the quota expired in 2018 and MSME lending ceased to be subject to a mandatory allocation(Figure 2) 

By Q2 2026, lending to the MSMEs stood at 4.48% of the banking system's portfolio — the second-lowest share on record for the combined micro-small segment — while the medium-enterprise share was at its lowest recorded level. 

The law was intended to redirect bank credit toward the productive base. 

Instead, the banking system progressively moved away from the mandate. 

That matters because it eliminates the easiest explanation for the failure: enforcement. 

Two different enforcement regimes, spanning four presidential administrations, produced essentially the same underlying trajectory. The quota was mandatory and backed by penalties; then the quota expired and compliance became voluntary. Neither regime reversed the decline. 

That consistency is the tell. 

A law that produces the same disappointing outcome under both a penalty-backed mandate and a voluntary regime is not primarily failing because regulators forgot to enforce it. It is failing because the policy is asking legislation to override an incentive structure that keeps making the targeted lending relatively unattractive. 

There is a Goodhart's Law problem here: once the state turns a desired outcome into a compliance target, the target can become the object of the exercise rather than the underlying objective. The Magna Carta could measure whether banks allocated a prescribed share of their portfolio to MSMEs. It could penalize them when they did not. What it could not do was make MSME lending economically as attractive as the alternatives competing for the same balance sheet. 

It measured the allocation. It never changed the incentives producing the allocation. 

And once the quota became the policy instrument, compliance could substitute for reform. The system could satisfy, evade, minimize or eventually abandon the target without resolving the underlying reason banks preferred other borrowers. 

That is why the sixteen-year trajectory matters more than any individual compliance rate. The quota was aimed at the symptom — the share of credit going to MSMEs — while the incentive structure determining that share remained largely intact. 

The question, then, is not why banks ignored the Magna Carta. 

It is why lending to MSMEs kept becoming a worse proposition. 

III. Why MSME Lending Became Relatively Less Attractive 

The banking system's bias against MSMEs did not happen in a vacuum. The risk-adjusted cost of serving them has been shaped by several forces operating simultaneously, and the direction of travel has been remarkably consistent. 

The first is monetary — and inflation is central to it. 

Sustained periods of easy money expand the nominal pool of money and credit moving through the banking system. But nominal credit growth is not the same thing as an expansion of real productive capacity capable of absorbing higher-risk lending. 

For MSMEs, the more immediate problem is volatility. 

Inflation does not simply raise prices. It makes the relationship between costs, revenues and cash flow less predictable. Input costs can move faster than a small business can adjust prices. Working-capital requirements rise. Real purchasing power falls. Customers become more price-sensitive. Margins that were already thin become harder to forecast. 

Large corporations can absorb some of this through scale, purchasing power, pricing power, diversified revenue streams and easier access to financing. 

The typical MSME cannot. 

A bank does not lend against an entrepreneur's intentions. It lends against the probability that future cash flow will be sufficient to service the debt. When inflation makes that cash flow more volatile, the borrower becomes harder to underwrite even if the business remains viable in the long run. 

So what looks like a growing credit system in peso terms can coexist with a shrinking pool of borrowers whose real cash flows are stable enough to absorb bank debt. 

This is particularly damaging to MSMEs because they are already cash-flow-thin, collateral-poor and less able to hedge against purchasing-power shocks. Inflation therefore does not merely increase their costs. It increases the uncertainty surrounding their ability to repay. 

That uncertainty has a price. 

The second force is the structure of bank pricing itself. 

Large corporations with established balance sheets, collateral, audited accounts and long credit histories can borrow more cheaply than smaller firms. That cheap financing is not merely a passive advantage. It can become a competitive moat: the largest firms can finance expansion, acquire competitors and consolidate market share at a cost of capital that smaller firms cannot match. 

I wrote about one version of this in 2019, when Jollibee's expansion strategy illustrated the Pac-Man financing logic: use financial capacity to swallow competitors and reinforce an already dominant position. 

This is what preferential access to cheap credit looks like when it meets market concentration. 

The third force is regulatory and sits in the banking system's plumbing rather than in any single law or circular. 

Risk-based capital rules and provisioning requirements make the characteristics of the borrower matter to the bank's economics. An opaque, thinly capitalized, informally collateralized and poorly documented small enterprise is a fundamentally different credit exposure from a sovereign security or a large investment-grade corporation with a long financial history. 

A peso lent to a top-tier corporate borrower or placed in sovereign paper does not impose the same capital, monitoring and information costs as a peso lent to an unlisted small enterprise.

That distinction matters enormously when a bank is deciding where to put scarce balance-sheet capacity. 

Then there is the compliance burden. 

AMLC and KYC requirements, licensing, registration, reporting, taxation, labor rules, inspections and the ordinary friction of operating formally all impose fixed or semi-fixed costs. 

For a large corporation, those costs can be distributed across enormous revenues and dedicated administrative departments. For a small business, they consume a much larger share of the resources available to keep the business operating. 

Even wage increases can have asymmetric effects. A higher minimum wage raises labor costs immediately; a small enterprise with thin margins has far less room to absorb that increase than a large corporation with scale, pricing power and easier access to financing. 

None of these regulations individually targets MSMEs. 

That is precisely the point. 

Their combined effect is to make the typical MSME a more expensive and more difficult credit proposition while the alternative available to banks — paying the Magna Carta penalty — remained relatively cheap and predictable. 

Put the channels together and the sixteen-year decline stops looking like simple negligence. It looks increasingly like a rational response to a system in which MSME lending carries higher volatility, higher underwriting costs, higher capital costs and greater uncertainty than lending to the borrowers with the strongest balance sheets. 

IV. When The State Makes The Intended Borrower Less Bankable 

This creates a feedback loop that the Magna Carta itself could not solve. 

But the loop is larger than compliance alone: 

inflation and input-cost volatility weaker and less predictable cash flow higher perceived credit risk 

plus 

more compliance costs higher fixed operating costs thinner margins weaker cash flow 

together producing

higher risk and underwriting costs less attractive MSME borrowers weaker bank lending greater dependence on informal or more expensive financing. 

This is the policy contradiction. 

The state mandates banks to lend to MSMEs while simultaneously maintaining conditions that can make those same enterprises more volatile, less liquid and more expensive to underwrite. 

Inflation is particularly important because it can amplify the entire loop. A business operating with thin margins has little room between revenue and costs. When prices, wages, inventory and working-capital requirements become more volatile, that margin becomes harder to defend. A borrower that was marginally bankable in a stable environment can become unbankable when the same business is subjected to repeated cost and cash-flow shocks. 

The bank sees the final balance sheet. 

It does not care that the original policy objective was noble. 

And this is where the Magna Carta's basic design runs into reality. It treats the shortage of MSME credit as if the problem were primarily a bank's willingness to lend. But willingness is downstream of risk, return, capital requirements, transaction costs and the quality and stability of the borrower being presented to the bank. 

This is the old Bastiat problem of the seen and the unseen. 

The quota makes the seen effect obvious: a mandated peso of MSME lending can be counted, reported and celebrated as evidence that the policy is working. What disappears from view is the unseen opportunity cost — what that peso would otherwise have financed, and whether forcing it into a higher-risk borrower actually creates more productive capacity than the alternative use of the bank's balance sheet. 

The same logic sits behind Bastiat's broken-window fallacy. The broken window creates visible spending for the glazier; what remains unseen is what the shopkeeper would have done with the money had he not been forced to replace the glass. 

The Magna Carta creates its own version of the fallacy. 

It counts the credit it forces into MSMEs. It does not count the allocation it displaces.

That does not mean MSME lending is unproductive. It means that mandating an allocation is not the same thing as demonstrating that the allocation is economically efficient. 

Legislation can change the first-order incentive. 

It cannot repeal the balance sheet. 

V. Where Did the Bank’s Capacity Go? 

The failure becomes more interesting when we stop looking only at what banks did not lend to MSMEs and ask what they did with the capacity instead. 

The answer is visible in the structure of the financial system.


Figure 3

Universal and commercial banks held roughly 93% of the Php 31.3 trillion in total bank resources as of May 2026, while banks themselves accounted for about 83% of the Php 37.64 trillion financial-system total. (Figure 3, upper graph) 

The most recent comparable international measure, the World Bank's five-bank asset concentration ratio, put the top five Philippine banks at 67.3% of total banking assets (as of 2021—this should be larger today). (Figure 3, lower chart) 

This is not a decentralized credit market searching for deserving small borrowers. 

It is a highly concentrated financial system deciding where scarce balance-sheet capacity earns the best risk-adjusted return. 

And a substantial portion has gone into government and large corporate balance sheets.


Figure 4 

Banks' claims on the public sector sit near 30% of M2 and M3 and have grown faster than private credit, while large conglomerates — many operating within ownership structures intertwined with the financial system — absorb another substantial share of bank financing. (Figure 4, upper diagram) 

That produces a sovereign-financial feedback loop: 

government borrowing expands banks absorb more sovereign exposure financial institutions become more exposed to fiscal conditions preserving liquidity and refinancing capacity becomes more important financial stability and sovereign-market functioning become increasingly important to the system itself. 

This is the sovereign doom loop in domestic form. 

The BSP's 2025 Financial Stability Report puts a number on the other side of this concentration: roughly Php 1.6 trillion, or 22.7% of total conglomerate debt, comes due between 2027 and 2029, while dollar-denominated debt averages 37.6% of that load over the following five years. That is a wall of maturities approaching the same financial system that holds much of the exposure. (Figure 4, lower image) 

Read in isolation, it is a refinancing-risk warning. Read alongside the MSME data, it shows why the system has a powerful institutional preference for preserving the liquidity and refinancing capacity of the large borrowers already embedded in it. 

And it competes for the same financial resources that the Magna Carta was supposed to direct toward smaller productive enterprises. 

The important point is that MSMEs are not simply being denied a fixed quantity of credit. 

They are being denied relative access to a financial system in which other borrowers have structural advantages: greater scale, better collateral, more predictable cash flows, lower transaction costs and, in many cases, greater access to cheap financing. 

Inflation worsens that relative disadvantage because it magnifies the very cash-flow uncertainty that already makes MSMEs harder to lend to. 

That is why the issue is not merely whether banks have enough liquidity. 

It is where the system finds that liquidity easiest and safest to deploy. 

VI. Why The Architecture Keeps Reproducing Itself 

A framework this consistently biased against MSME lending, across four administrations and two enforcement regimes, does not persist by accident. It persists because the institutions responsible for revising it are embedded in the financial system it regulates. 

The BSP Monetary Board's seven seats have been populated by appointees whose careers include senior positions at banks, multinational lenders and major conglomerates. None of this is evidence of wrongdoing; many were appointed precisely for the expertise those careers provide. 

But expertise is not institutionally neutral. 

A regulator whose personnel move between private finance and public regulation brings with them professional networks, assumptions and risk frameworks formed inside the financial system. From a public-choice perspective, those experiences can shape not only what policymakers know, but which problems they perceive as requiring intervention. 

That matters when the same system has spent sixteen years directing capital toward sovereign and large corporate borrowers while MSME lending steadily loses ground. 

This is regulatory capture in its least conspiratorial form. No corruption is required. A revolving door dynamic can reproduce a policy bias simply because the people designing the rules share much of the same institutional worldview as the institutions operating under them. 

And that is before accounting for the influence of the executive branch and broader political incentives. 

VII. Where The 2026 BSP Relief Cascade Fits 

The BSP's five relief measures since April — NPL grace periods, the intragroup credit-risk reform, the pre-positioned CCyB release, the salary-loan maturity extension and the mark-to-market waiver — did not create this problem. (See our Stagflation Part 11 for details) 

They reinforce it. 

The MSME credit decline predates all five measures by more than a decade. What the cascade does is free additional balance-sheet capacity without attaching an MSME condition to it, inside a financial system already structured to favor sovereign and large corporate exposure. 

The measures are therefore an aggravating factor, not the cause. 

That distinction matters because blaming the latest relief package would turn a sixteen-year structural failure into a story about five recent policy decisions. The evidence says otherwise: the same allocation bias was operating long before the current relief cycle existed. 

VIII. Conclusion: Three Symptoms, One Structure 

Declining MSME lending, banking-system concentration and rising financial fragility are not separate failures. 

They are symptoms of the same architecture. 

The Magna Carta tried to force banks to allocate more credit toward the country's 1.24 million MSMEs. But the monetary, regulatory and institutional structure surrounding the banking system kept making sovereign and large-corporate lending more attractive. 

The law could impose a quota. 

It could not repeal the incentives determining where banks wanted to put their balance sheets. 

For sixteen years, those incentives won. 

That is why the Magna Carta did not merely fail to achieve its target. 

It created the appearance of a financial system deliberately making room for the small productive economy while leaving the underlying allocation of capital largely untouched. 

The quota could be measured. Compliance has been reported. The policy could point to a statutory commitment to MSMEs. 

But underneath the paperwork, the balance sheet kept moving in the other direction. 

The result was not a redistribution of financial power toward the many. It was a regulatory façade over an increasingly concentrated allocation of credit. 

And that is the deeper failure of the Magna Carta: It did not change the architecture that favored the few. It gave that architecture a quota, and called it reform.


Sunday, May 31, 2026

Stagflation Part 8: Manufacturing Resilience — The PSEi 30 Under Stagflationary Pressure, BSP Accommodation, and the Financialization of Fragility

 

Modern systems do not fail when they become fragile. They become fragile because they have already failed—structurally and long before that failure becomes visible. The more decision-making is centralized, the more lived knowledge is replaced by abstract representations detached from reality—Luc Lelièvre

 

In this issue

Stagflation Part 8: Manufacturing Resilience — The PSEi 30 Under Stagflationary Pressure, BSP Accommodation, and the Financialization of Fragility 

I. Preamble: The Politics of “Resilience” — When Confidence Becomes Policy

II. We Called the Mechanism in Stagflation Part 6! Banking Risks Now Surfacing in the Mainstream

III. Tightening Optics, Accommodative Plumbing: The BSP’s Expanding Relief Architecture

IIIA. From April’s Regulatory Relief to the First Rate Hike

IIIB. Capital Relief or Quiet Capital Erosion?

IIIC. BSP Circular 1233: Prudential Tightening or Statistical Theater?

IV. The PSEi 30: Q1 Earnings Stall as Debt Accelerates, Hits Record Highs

IVA.  When Stagflation Enters Finance

V. Lipstick on a Pig: Financializing Weakness, Manufacturing Resilience via Engineered Market Concentration, UITF Easing and PERA Nudge

VA. The Masquerade of PSEi’s 30 Concentration Activities

VB. Banking and Other Financial Corporates (OFC)

VI. Conclusion: When False Stability Weakens Adaptation and Magnify Crisis Risk 

Stagflation Part 8: Manufacturing Resilience — The PSEi 30 Under Stagflationary Pressure, BSP Accommodation, and the Financialization of Fragility 

How stagflationary pressures, BSP tightening optics, and the PSEi 30 mirage increasingly coexist with accommodative plumbing—masking deeper balance-sheet stress beneath headline stability 

I. Preamble: The Politics of “Resilience” — When Confidence Becomes Policy 

“Resilience” has increasingly become one of the most overused nouns in political economy. 

Like “inclusive growth,” “sustainability,” or “transformation,” it risks becoming a euphemism—less a description of underlying conditions than a linguistic instrument for preserving confidence in an increasingly fragile system. 

It recalls the inverse logic of Otto von Bismarck’s warning on politics: never believe anything in politics until it has been officially denied. In modern monetary systems, denial rarely arrives explicitly. It comes mediated through language. Stress becomes “manageable.” Risks become “contained.” Fragility becomes “resilience.” 

Yet language has motive. 

The Financial Stability Coordination Council (FSCC), in its May 20, 2026 quarterly meeting, maintained that the banking sector "remains resilient" while simultaneously warning of rising vulnerabilities from household and corporate leverage, energy-sensitive sectors, higher-for-longer interest rates, and mark-to-market pressures from elevated bond yields. The council also identified the ongoing Middle East war, risks to repayment capacity, and potential deterioration in bank asset quality as concerns requiring close monitoring. 

Even so, regulators stopped short of expressing concern about systemic stability, maintaining that the banking system remains resilient. 

At first glance, this appears contradictory. But in a fiat-credit economy, the contradiction is functional. 

A modern central bank cannot openly emphasize fragility without risking the very instability it seeks to avoid. If authorities were to fully acknowledge banking weakness, depositors could reassess confidence, lenders could tighten credit, liquidity preference could rise, and financial conditions could deteriorate in reflexive fashion—potentially increasing the risk of deposit flight or even a bank run. 

Confidence, therefore, is not merely a byproduct of policy; it is itself a policy objective. 

This matters more today because the Philippine economy has quietly become more dependent on liquidity and leverage than in prior cycles. As discussed in Part 6, domestic claims reached 81.3% of GDP in Q1 2026, while M2 and M3 remain materially above pre-pandemic norms. Banking intermediation increasingly substitutes for weakening organic growth. 

Liquidity has not flowed neutrally. 

It increasingly migrated toward sovereign financing, speculative infrastructure, utility expansion, real estate carry structures, politically favored sectors, and household leverage sustained through credit accommodation. 

The result produced nominal resilience—but one increasingly dependent on continued balance-sheet expansion. 

The irony is difficult to miss. 

The sectors regulators themselves now identify as vulnerable—utilities, energy-sensitive firms, rate-exposed borrowers, and bond-exposed balance sheets—are precisely the channels through which post-pandemic liquidity was transmitted. 

Higher yields pressure securities portfolios. Elevated oil prices weaken already strained household cash flows. Slowing real activity compresses repayment capacity. Inflation erodes purchasing power. 

In short, the Iran conflict may act as accelerant. But the fragility predates the shock. 

The more uncomfortable reality is that what policymakers increasingly describe as isolated “pockets of vulnerability” may instead reflect the cumulative consequences of a debt-financed adjustment regime—one built on widening savings-investment gaps, fiscal accommodation, politically mediated capital allocation, and increasingly flexible financial constraints. 

Resilience, in this context, stops being descriptive. 

It becomes functional. 

And once confidence management becomes policy, a deeper fragility emerges: the stronger the incentive to suppress negative feedback, the greater the eventual adjustment once reality overwhelms narrative. 

The risk is a prolonged Wile E. Coyote phase—where lending, nominal GDP, and asset prices continue moving forward even as the balance-sheet ground beneath them quietly disappears. 

As corrective signals are muted, deferred, or absorbed, the system becomes less responsive to the maladjustments accumulating within it. The resulting precarity stems not only from the imbalances themselves, but from the growing uncertainty over how much adaptive capacity remains. 

Stability may persist for far longer than expected, but the longer adjustment is deferred, the less anyone can know whether apparent resilience reflects genuine robustness or simply an increasingly fragile inability to register the need for change. 

II. We Called the Mechanism in Stagflation Part 6! Banking Risks Now Surfacing in the Mainstream 

Our long-standing argument is now acknowledged by authorities! 

In Part 6, we argued that Philippine banking fragility was not yet obvious in headline indicators because deterioration remained concealed beneath denominator effects, regulatory flexibility, and liquidity expansion. 

The central mechanism was straightforward. 

As nominal lending continued to expand, reported metrics such as net nonperforming loans and provisioning ratios could appear stable—even if underlying repayment quality weakened beneath the surface. Faster loan growth mechanically improved ratios. 

In short: deteriorating credit quality could be hidden by expanding balance sheets—Wile E. Coyote dynamics or the denominator effect. 

We also warned that sovereign absorption, utility concentration, electricity-sector leverage, and rising interest-rate sensitivity were quietly intensifying banking vulnerabilities. 

Recent regulator commentary increasingly validates those channels. 

Electricity exposure—long treated as a politically protected earnings corridor—has become increasingly central to financial stability concerns. This should not surprise readers of this series. 

For years, policy increasingly encouraged indirect support mechanisms across the sector: government-facilitated transactions (SMC-AEV-MER, and Prime Infra-FGEN deals), real property tax suspensions, market transfer arrangements (eg. FIT-all, GEA-all etc.), and pricing interventions designed to stabilize politically sensitive energy channels (e.g. suspension of WESM, etc.). 

What appeared as sectoral support increasingly resembled distributed bailout architecture. 

Meanwhile, emergency measures following the oil shock intensified the dilemma. 

April's regulatory relief—borrower restructuring flexibility, grace periods, softer recognition standards, and prudential accommodation—may help stabilize near-term financial conditions. Yet such measures inevitably complicate the task of interpretation and reactions. 

When institutions receive greater flexibility during periods of mounting stress, distinguishing genuine resilience from deferred recognition becomes increasingly difficult. Reported stability may reflect improved fundamentals. It may also reflect the temporary suspension of constraints that would otherwise force adjustment into the open. 

As recognition becomes more discretionary, financial signals lose informational clarity. Firms facing deteriorating conditions have strong incentives to extend maturities, restructure obligations, refinance exposures, and seek regulatory accommodation wherever available. While such actions may be individually rational, they can collectively transform temporary relief into a mechanism for postponing adjustment. 

Nor should the possibility of malfeasance be entirely discounted. As Charles Kindleberger observed, the pressures that emerge during late-stage financial cycles often generate incentives that extend beyond mere forbearance. 

The imperative to preserve solvency, liquidity, or market confidence can encourage increasingly aggressive efforts to sustain appearances, blurring the distinction between prudent adaptation, financial engineering, and outright concealment. 

The consequence is a progressive deterioration in the quality of feedback available to market participants and policymakers alike. As losses are deferred, risks reclassified, and vulnerabilities absorbed into layers of accommodation, it becomes increasingly difficult to determine whether observed stability reflects genuine robustness or merely the continued suppression of adjustment. 

Thus, the latest warnings matter less because they reveal something new. 

They matter because they increasingly reveal the logic we outlined ex ante. 

The precise timing remains uncertain. 

But the mechanism has become harder to ignore. 

III. Tightening Optics, Accommodative Plumbing: The BSP’s Expanding Relief Architecture 

IIIA. From April’s Regulatory Relief to the First Rate Hike 

The BSP’s recent policy trajectory increasingly reveals an uncomfortable contradiction. 

Official rhetoric increasingly emphasizes inflation vigilance and prudence. Yet beneath the surface, regulatory accommodation continues to proliferate. 

This contradiction became increasingly visible following the oil shock. 

On one hand came the first rate hike, accompanied by warnings over inflation persistence, second-round effects, and financial risks. 

On the other came expanding flexibility:

  • loan restructuring accommodations
  • borrower grace periods
  • relaxed nonperforming-loan treatment
  • regulatory discretion
  • liquidity backstops
  • and eventually capital flexibility itself 

The message increasingly became clear: tightening optics above, accommodative plumbing below. 

IIIB. Capital Relief or Quiet Capital Erosion? 

The BSP's "positive neutral" countercyclical capital framework should not be mistaken for technical housekeeping. 

At its core lies a material shift: part of what previously functioned as hard CET1 capital effectively becomes releasable under Monetary Board discretion. 

Total capital may remain unchanged on paper. 

But the composition of constraints changes. 

This distinction matters because hard floors increasingly become conditional floors

The textbook defense is straightforward: buffers built during good times should be releasable during stress to prevent procyclical deleveraging. 

In theory, reasonable. In practice, difficult. 

Pandemic-era forbearance offers the clearest preview. What began as emergency accommodation was extended, normalized, and gradually embedded into institutional expectations. Regulatory relief, like fiscal interventions, exhibits a well-documented tendency toward persistence—not through intent, but through path dependence, where withdrawal becomes politically and economically costly before conditions fully normalize. 

Because Philippine banks entered this cycle amid slowing loan growth, sovereign crowding, maturity pressures, concentrated sectoral exposure, and weakening organic activity. 

The assumption that released buffers will later be rebuilt quietly assumes future conditions normalize. 

History suggests otherwise. 

Temporary relief often becomes structural because withdrawal becomes politically costly. 

Emergency support evolves into expectation. 

Constraint becomes discretion. 

And discretion reshapes incentives. 

Institutions facing balance-sheet pressure naturally adapt to the policy environment they are given. The greater the availability of regulatory flexibility, the stronger the incentive to preserve existing positions, defer adjustment, and rely on future accommodation. Over time, market discipline corrodes, entrenching dependence on regulatory mediation, where rules mutate arbitrarily and authority shifts at whim. 

This is where the issue extends beyond prudential policy into political economy. 

Policy is never neutral. Discretion is never exercised in a vacuum. It creates winners and losers, protects some balance sheets more than others, and inevitably attracts pressure from the institutions most affected by its use. Its effects accumulate over time, compounding distortions and entrenching the power of those best positioned to exploit regulatory discretion. 

Regulatory capture need not take the form of explicit collusion. More often, it emerges gradually through shared assumptions, institutional proximity, informal bargaining channels, and the structural alignment of incentives between regulators and the regulated. Policy formation in highly regulated financial systems is inherently political; it is shaped not only through formal rulemaking, but also through sustained interaction between supervisory authorities and systemically important institutions, particularly during periods of stress. 

For instance, the BSP Monetary Board is presently populated by former bankers, multinational executives, and a member of the country's economic elite. Consequently, professional experience, personal networks, and political or ideological leanings may shape how risks are perceived, priorities are defined, and policy decisions are made. 

In such contexts, influence is rarely exercised through overt transactions. It operates instead through coordination, dialogue, logrolling, and the revolving door dynamics that amplify the implicit weight carried by institutions whose stability is deemed systemically significant

Over time, such dynamics risk weakening both the foundations of the financial architecture and the credibility of the information it produces

Rules become increasingly negotiable, constraints more contingent on supervisory discretion, and reported conditions less reflective of underlying risks. The result is a gradual erosion of transparency, market discipline, and public confidence in the regulatory framework

As more capital requirements become contingent on regulatory judgment, observed resilience becomes harder to evaluate. Investors are left asking whether stability reflects genuine financial strength—or whether it increasingly reflects an environment in which constraints are assumed to be adjustable when stress emerges. 

IIIC. BSP Circular 1233: Prudential Tightening or Statistical Theater? 

At first glance, BSP Circular 1233 appears prudentially tighter. 

Guarantees increasingly receive capital treatment according to the standing of guarantors rather than blanket recognition. Credit protection is thus no longer treated uniformly, but differentiated according to counterparty strength and exposure structure. 

Technically, this represents improved risk sensitivity. 

But the more important question is not whether rules tightened on paper. 

It is who is positioned to operate within—and benefit from—increasingly complex rules. 

Modern prudential systems increasingly rely on statistical abstractions: risk weights, internal models, guarantee structures, offsets, and supervisory discretion. The danger is not only mismeasurement. It is that complexity itself becomes a mode of governance. 

When constraints become sufficiently intricate, compliance shifts from rule-following to interpretation or workarounds. Large financial institutions—with sophisticated treasury operations, legal capacity, and cross-border affiliates—gain greater ability to restructure exposures, redistribute risks internally, and optimize regulatory outcomes through affiliated guarantees and balance-sheet engineering. 

What appears as improved prudential precision may simultaneously expand the scope for regulatory arbitrage. 

The key question becomes: 

Did risk truly decline—or merely migrate across affiliated balance sheets while reported ratios improved? 

This distinction matters because guarantees are not exogenous anchors of stability. During periods of stress, guarantor strength often proves endogenous to the same financial cycle it is meant to stabilize. Apparent backstops can weaken precisely when they are most needed. 

But the deeper issue is not only measurement or migration. 

It is opacity combined with declining adaptive capacity. 

Resilience increasingly becomes modeled rather than market-tested. But models are ex-post reconstructions of risk built on reduced variables, whereas markets reflect ex-ante conditions through continuous adaptive feedback. Systems that appear stable under refined metrics may therefore lose the feedback mechanisms through which corrective responses are generated, as interventions accumulate and progressively displace endogenous adaptive processes. 

This is why periods of stress are often misread as the beginning of failure. By the time fragility becomes visible, it has typically been embedded for some time; what changes is not the underlying instability, but its expression. 

The real risk is that they continue to function after losing the capacity for effective correction. 

In this sense, stability itself can become misleading: it may reflect not robustness, but the gradual weakening of feedback mechanisms that normally reveal and correct accumulated risk.

IV. The PSEi 30: Q1 Earnings Stall as Debt Accelerates, Hits Record Highs 

Q1 2026 reveals a structural divergence in the PSEi 30: revenues expanded by 8.55%, yet net income contracted by 4.11%—the first broad-based earnings decline in the post-pandemic cycle. 

At the same time, non-financial corporate debt rose by 10.1% to approximately a record Php 6.079 trillion, even as GDP growth slowed to 2.8% and nominal momentum weakened. 

This divergence is increasingly consistent with an early stagflationary configuration: weakening earnings momentum alongside persistent leverage expansion and slowing real activity. 


Figure 1

Q1 revenue growth accelerated from 3.92% to 8.55%, broadly tracking the rise in CPI from 2.3% to 2.8%, even as GDP growth weakened sharply from 5.4% to 2.8%. The divergence between nominal revenue expansion and real activity suggests price-led rather than volume-driven growth. (Figure 1, topmost window) 

At the same time, aggregate net income declined by Php 11.6 billion—the first contraction since the 2020 recession—driven by a compression in margins, with the PSEi 30 net income margin falling from 16.34% to 14.43%. (Figure 1, middle image)

Profitability weakness was not uniform but reflected sector-level margin erosion, as illustrated by firms such as Jollibee, where revenue growth coincided with gross margin compression and earnings reverting toward prior cyclical lows. (Figure 1, lowest graph)


Figure 2

Signs of demand fatigue were also evident in real estate, where major developers (SMPH, ALI, MEG, and RLC) recorded a combined revenue contraction of approximately 3%, despite sectoral real GDP growth of 3.3%, reinforcing a multi-year downtrend since 2022. This points to weakening discretionary consumption, with spending increasingly shifting toward essentials. (Figure 2, topmost pane)

Non-financial corporate net debt increased by Php 557.4 billion, pushing total gross debt to approximately Php 6.078 trillion, or roughly 16% of financial assets. (Figure 2, middle visual)

The increase was highly concentrated, with San Miguel Corporation alone accounting for approximately Php 157.4 billion of additional borrowing, bringing its total debt to an astounding Php 1.668 TRILLION (!!!)—underscoring the scale mismatch between individual balance sheets and aggregate market structure. (Figure 2, lowest chart)

Outstanding Philippine banks borrowings hit a record Php 2.06 trillion in March.

San Miguel’s debt stands out, as it is likely to exceed its annual revenue (PHp 1.485 trillion in 2025), while its market capitalization represents only about 10% of that scale. Notably, San Miguel has yet to publish its Q1 2026 analyst briefing, which would represent an unusual omission if it were to be delayed or foregone.

San Miguel’s financing increasingly resembles Hyman Minsky’s “debt-in, debt-out” dynamic, where sustained borrowing is accompanied by asset sales and refinancing activities used to service and roll over expanding obligations. In Minskyan terms, this edges toward Ponzi finance, where debt servicing becomes increasingly dependent on continued access to new financing rather than internally generated cash flows. 


Figure 3 

A significant portion of revenue and asset growth also appears structurally mediated, including effects from regulated pricing, energy-related asset transfers, and fiscal-linked spending (Figure 3, topmost pane), while REIT revenues were supported by balance-sheet and asset reclassification effects. 

Notably, PSEi 30 revenues relative to GDP remained broadly unchanged year-on-year, underscoring the persistent concentration of economic activity and the disproportionate benefits accruing to firms positioned along major policy transmission channels. (Figure 3, middle diagram) 

Amid income shortfalls, net cash accumulation rose to its highest level since 2023, coinciding with BSP rate cuts in Q1 2026—suggesting a preference for liquidity buffering rather than immediate capital deployment. (Figure 3, lowest chart)

IVA.  When Stagflation Enters Finance 

Here is the diagnostic: 

In a conventional cycle, borrowing responds to earnings and growth expectations. 

In Q1 2026, the sequence is inverted: leverage expands into weakening profitability. This suggests that borrowing is increasingly driven by refinancing needs, liquidity pre-funding, cash reserve build-up and policy accommodation rather than productive expansion. 

The composition of growth reinforces this shift. Revenue gains are increasingly concentrated in utilities, regulated sectors, FX-sensitive firms, and entities linked to fiscal and infrastructure transmission channels, while real estate contracted and several constituents recorded outright revenue declines. 

Growth is therefore increasingly shaped by pricing regulation, fiscal flows, currency effects, and balance-sheet reallocation rather than broad productivity gains. 

As a result, the economy increasingly exhibits late cycle distributional rather than organic expansion: output is present, but its drivers are structurally mediated rather than market-diffused. 

Debt dynamics show a similar pattern of concentration.


Figure/Table 4 

A significant share of new issuance is clustered within large conglomerates, particularly the SMC–AEV–MER nexus, while much of the incremental borrowing appears to accumulate as cash buffers and liquidity reserves rather than productive investment. (Figure/Table 4) 

Debt is thus increasingly precautionary—functioning as refinancing insurance and balance-sheet restructuring rather than capital formation. 

The market, in turn, increasingly prices access to liquidity rather than earnings growth. 

This reflects a regime in which policy transmission, refinancing conditions, and structural allocation effects dominate forward-looking valuation signals. Leverage sustains continuity in a low-earnings environment rather than amplifying expansion. 

These dynamics did not emerge in a vacuum. They reflect long-standing structural forces that have compounded through a self-reinforcing process over time. 

The result is a deepening stagflationary structure: earnings stagnation coexisting with credit expansion, sustained not by income growth but by liquidity accommodation and refinancing continuity. 

V. Lipstick on a Pig: Financializing Weakness, Manufacturing Resilience via Engineered Market Concentration, UITF Easing and PERA Nudge 

If fragility is increasingly accumulating beneath the surface, recent BSP-linked developments suggest a growing preference for financial mediation over structural adjustment. 

The relaxation of UITF concentration limits, alongside renewed PERA incentives and CMEPA-linked measures, did not occur in isolation. 

While formally presented as market development initiatives, these adjustments operate within a system that is already structurally concentrated, where a small number of firms dominate liquidity, index weighting, and price formation. 

VA. The Masquerade of PSEi’s 30 Concentration Activities 

Market structure reinforces this tendency. A narrow set of issuers increasingly drives free-float capitalization and trading activity, with liquidity clustering in fewer names and deeper concentration in benchmark influence.


Figure 5 

ICTSI, for instance, accounted for approximately 23.36% of free-float market capitalization as of 28th May 2026, down slightly from a prior May peak of 23.9%, while simultaneously contributing around 22.5% of monthly main board volume. This concentration has lifted the top five constituents to more than 53%—a record—of the PSEi’s free-float weight. (Figure 5, upper and lower charts) 

Despite a 27.3% increase in total stock market accounts to 3.641 million in 2025, participation quality deteriorated sharply.


Figure 6

In 2025, active retail accounts fell from 23.1% to 11.7%, while active institutional accounts declined from 19.5% to 14.6%. Institutional participation also contracted in absolute terms, from 32,284 to 29,910 accounts—suggesting not merely inactivity but structural consolidation. 

Retail participation, meanwhile, remained largely passive, accounting for only around 16% of total turnover in 2024, while the top ten brokers consistently captured roughly 60% of daily trading activity. 

Market microstructure further suggests that liquidity is not only concentrated but also artificially structured. 

Price‑setting activity increasingly clusters around specific intraday windows—for example, coordinated patterns I call “afternoon delight,” post‑recess pumping, and pre‑closing float pumps and dumps—consistent with liquidity recycling among a narrow set of market heavyweights such as ICTSI. 

This dynamic creates structural asymmetries in execution quality and timing. Cartelized institutional actors—by virtue of scale, privileged information access, and market impact capacity—are positioned to internalize gains from volatility, while retail participants are disproportionately exposed to adverse selection and momentum‑driven entry. 

What appears as neutral index participation thus embeds a persistent transfer mechanism. Market activity resembles a closed‑loop structure: retail investors enter at any time only to become counterparties to institutional selling, absorb losses, and eventually lapse into inactivity (yes, a Hotel California), while select large‑scale institutions consolidate benefits from elevated prices. 

The end result is the steady erosion of savings, the declining quality of public participation, the corrosion of capital markets, and rising fragility within their structures. Mainstream opinion holds that gaming the index is cost‑free—but distorted markets, failing to adjust to unfolding realities, ultimately deliver a reckoning. 

Under these conditions, participation becomes statistically broad but functionally narrow. Market depth exists in appearance, not in effective price formation. 

VB. Banking and Other Financial Corporates (OFC) 


Figure 7 

Banking sector dominance reinforces this structure. Universal and commercial banks control approximately 83.05% of total financial resources/assets, with universal banks alone accounting for around 77.1%, both near historical highs. Intermediation is therefore increasingly concentrated within a small number of institutions that also sit at the core of liquidity transmission. 

The Other Financial Corporations (OFC) survey data further clarifies this mechanism. 

By end-2025, trust assets reached record levels, alongside elevated financial claims and growing exposure to government securities and dominant corporate instruments. 

Claims on the private sector, banks, and government all expanded to historical highs in Q4 2025. 

In effect, savings increasingly migrate into managed structures, while managed structures increasingly allocate toward sovereign debt, systemically important elite-owned corporates, and highly liquid benchmark assets. 

The mechanism is subtle but structurally important: as real purchasing power weakens, financial intermediation intensifies. Weakness is not absorbed by adjustment in the real economy but increasingly processed through financial channels. 

Rather than directly confronting deteriorating fundamentals—slower productivity growth, uneven real activity, external sensitivity, and inflation pressure—the system increasingly channels savings into instruments that preserve appearance: stable markets, resilient banks, orderly debt issuance, and supportive sentiment. 

This is where fragility becomes self-reinforcing. Stability is maintained not through broad-based strength, but through concentrated flows and repeated accommodation within a narrowing set of financial channels. 

In such a system, preserving index stability no longer requires broad participation—only sufficient concentration. 

Eventually, the question is no longer whether fragility exists. 

It is how much structural mediation is required to prevent it from becoming visible. 

VI. Conclusion: When False Stability Weakens Adaptation and Magnify Crisis Risk 

Our Part 8 series points to a deeper transformation underway. 

Stagflation is no longer confined to slower growth, rising prices, and deteriorating purchasing power. It is increasingly migrating into the financial system itself—reshaping incentives, altering market structure, and changing how weakness is managed. 

The evolution and interaction matters. 

As earnings weaken and repayment capacity softens, the system increasingly responds not through adjustment but through political mediation: regulatory relief, capital flexibility, refinancing continuity, concentration easing, confidence management, and liquidity accommodation. 

At one level, these measures may temporarily stabilize conditions. 

But stabilization is not synonymous with adaptation. 

The deeper risk is that repeated intervention suppresses the corrective signals through which systems normally adjust. Weak firms refinance rather than restructure. Risks are softened through debt expansion, liquidity support, and regulatory accommodation, while recognition of underlying imbalances is delayed or muted. Financial markets become increasingly dependent on concentrated flows, managed liquidity, and political-institutional reinforcement rather than broad-based participation and market discipline.

The result is a subtle but consequential shift: fragility becomes harder to observe precisely because adaptation weakens. 

This helps explain the growing divergences now visible across the Philippine economy and the PSEi 30. Weakening profitability coexists with rising leverage. Slowing real activity coexists with resilient financial optics. Narrower participation coexists with stronger index concentration. 

Rather than resolving imbalances, finance increasingly absorbs them. 

This is why resilience rhetoric deserves scrutiny. 

A system can appear stable for long periods while quietly losing the capacity to respond to mounting maladjustments. Stability, under such conditions, becomes less evidence of robustness than of deferred recognition. 

The real danger is that by the time fragility becomes visible, the institutional capacity for adaptation has already been significantly weakened. The reckoning does not disappear; it accumulates. Pressures continue to build beneath the surface until they eventually reach a threshold or a “tipping point” where adjustment can no longer be postponed. The timing remains uncertain. The process does not. 

And this is the paradox of modern financial management: 

The more aggressively policymakers attempt to suppress instability, the greater the risk that stability itself becomes the mechanism through which future instability accumulates.  

____

References (our stagflation series) 

Stagflation Is Already Here—Emergency Policies Are Now Entrenching It 

Stagflation by Design: Policy Contradictions and the Return of the Pandemic Rescue Playbook 

The Anatomy of Philippine Stagflation: BSP Rate Hikes, Record External Deficits, and Fiscal Expansion (Part 3) 

Stagflation Then and Now: Why Philippine Markets Are Repricing Like the 1970s (Part 4) 

Stagflation Part 5: The Q1 2026 GDP Illusion and the Gathering Recession Risk Beneath Price Suppression 

Stagflation Part 6: The Banking System Under Siege—Bond Selloffs, Liquidity Illusions, and the Coming Balance Sheet Reckoning 

Stagflation Part 7: The Return of Constraint—Oil Shock, Treasury Revolt, and the Politics of Inflation Suppression

 

Seed Article

EO-110 and the Politics of Price Suppression: How the Energy Emergency Is Becoming a Nationwide Economic Intervention