World Bank's Philippine Upper-Middle-Income Upgrade: Benchmarkism in Action

  

The Philippines’ most important economic problem is that poverty and hunger have been high for several years now, and are still unrecovered to their historically low levels prior to the COVID-19 pandemic—Mahar Mangahas 

In this issue: 

World Bank's Philippine Upper-Middle-Income Upgrade: Benchmarkism in Action

Part I: The Threshold and the Managed Reality

I.1. Benchmarkism

I.2. The Managed Visibility of the Economy

I.3. Why the Upgrade Matters

Part II: The Anatomy of Intervention-Driven Growth

II.1. From Savings to Debt

II.2. Growth and Fragility Are Two Sides of the Same Process

II.3. The Missing Dimension

Part III: Benchmarkism in Action

III.1. From Measurement to Mechanism

III.2. The Benchmark Effect

III.3. Cui Bono?

III.4. On the Question of Coordination

III.5. The Accountability Gap

IV. Conclusion: Beyond the Benchmark 

World Bank's Philippine Upper-Middle-Income Upgrade: Benchmarkism in Action 

When statistical upgrades become instruments of economic narrative management

Part I: The Threshold and the Managed Reality 

World Bank Blog: The Philippines achieved its reclassification through broad-based expansion. GDP grew at an average of 5.8% per year over five years, reflecting gains across all major industries, not a single sector boom, but an economy-wide shift. 

The World Bank has reclassified the Philippines as an upper-middle-income economy after its Gross National Income (GNI) per capita reached approximately US$4,850, surpassing the US$4,636 threshold under the Atlas method. 

On its face, the upgrade is presented as objective statistical recognition of economic progress. Government officials immediately framed it as validation of stronger economic fundamentals, improved investor confidence, and enhanced access to international capital markets. 

But the timing—and more importantly, the economic regime that produced the numbers—matter far more than the threshold itself.

Figure 1 

First, the choice of the measurement window matters. The World Bank highlights average GDP growth of 5.8% from 2021 to 2025. 

Yet that period begins immediately after the deepest economic contraction in modern Philippine history, making it heavily influenced by base effects. Extending the window produces a markedly different picture. Including 2020 lowers the average GDP growth to 3.2%, while extending the comparison back to 2015 reduces it to about 4.7%. (Figure 1, upper window) 

GNI exhibits a similar pattern: approximately 7.1% when measured from 2021, 4.1% from 2020, and roughly 5.0% when measured from 2015. The choice of benchmark materially shapes the narrative. (Figure 1, lower graph) 

In short, the elevated GNI growth figures the World Bank highlights are largely a product of base effects — the 2021 starting point follows the deepest contraction in modern Philippine history, mechanically inflating the measured average. Whether the window was chosen deliberately or by convention, the effect on the narrative is the same. 

Second—and far more importantly—the World Bank's narrative omits the policy regime that generated these outcomes. 

The years feeding into the classification window were defined by an unprecedented macroeconomic configuration: historic monetary expansion, unparalleled fiscal deficits, extraordinary regulatory accommodation, and pandemic-era financial support measures that never fully reverted to their pre-crisis settings. 

Between 2020 and 2021, the Bangko Sentral ng Pilipinas injected a record Php 2.3 trillion into the financial system through liquidity facilities, aggressive monetary easing, and various crisis-response measures designed to stabilize output and financial markets. 

Those interventions were introduced as temporary, countercyclical responses to an extraordinary crisis. 

What followed, however, was not a return to the pre-pandemic policy framework, but the gradual institutionalization of an intervention-heavy economic regime. 

It must be emphasized that the World Bank's Atlas GNI is not a production-based measure of real economic output. 

It is a smoothed, dollar-converted aggregate that combines nominal income, exchange-rate movements, and the effects of credit-supported expansion into a single statistical measure. 

It does not distinguish whether rising income originates from productivity gains, liquidity creation, fiscal stimulus, financial leverage, or some combination thereof. It records the outcome, not the mechanisms that produced it.

Figure 2

The same intervention-heavy macroeconomic regime that elevated measured GNI also coincided with substantial increases in concentrated private wealth. Using the World Bank's own 2021–2025 benchmark period, the combined net worth of the Forbes Philippines 50 Richest grew by roughly 8 percent annually. (Figure 2, upper pane) 

This was not a parallel coincidence but an interconnected consequence of the same policy regime. 

Liquidity expansion, credit creation, fiscal stimulus, and extraordinarily accommodative financial conditions supported corporate earnings, business valuations, and financial asset prices, all of which contributed to the accumulation of private wealth. 

Rising GNI and rising billionaire wealth thus emerged not as independent developments, but as interconnected expressions of the same underlying monetary-financial process. 

Seen this way, the benchmark records only one observable consequence of the policy regime while remaining largely silent about the parallel accumulation of wealth and financial claims generated by the same causal forces. 

Nor does its per-capita average reveal how income is actually distributed across households. 

The threshold itself illustrates how sensitive the classification can be. 

Last year, believe it or not, the Philippines missed upper-middle-income status by only US$26 per person—underscoring how the World Bank's classification rests almost entirely on estimated quantitative outcomes. 

In other words, the period being measured is precisely the period during which emergency intervention evolved into a permanent feature of the Philippine development model. 

I.1. Benchmarkism 

This is where what I have termed benchmarkism begins to operate. 

Benchmarkism is not simply the use of statistical indicators. It is the transformation of statistical and market benchmarks into instruments of narrative management designed to influence expectations, stimulate confidence—or what Keynes famously called animal spirits—and shape market behavior in ways that reinforce an existing political-economic order. 

In practice, the process unfolds through a self-reinforcing feedback loop: 

• intervention-driven expansion supports nominal income growth;
• income growth feeds into standardized international benchmarks;
• benchmark upgrades improve investor confidence and credit perception;
• improved confidence lowers financing costs;
• cheaper financing sustains the same intervention-dependent growth model. 

What begins as emergency stabilization gradually becomes institutional structure. 

What begins as temporary policy support evolves into the governing logic of economic development. 

At that point, the benchmark no longer merely measures reality. 

It becomes one of the mechanisms through which that reality is sustained. 

I.2. The Managed Visibility of the Economy 

This phenomenon is not confined to income statistics. 

Across the same period, other indicators pointed in very different directions beneath the aggregate numbers: 

• persistent inflation above the BSP's target range;
• slowing growth momentum even before the latest oil shock and external uncertainties;
• rising leverage among corporations and major conglomerates;
• the BSP Financial Stability Coordination Council's warnings over concentrated exposures in real estate, power, energy, and expanding household credit;
• rising self-rated poverty exceeding 50 percent in national surveys, alongside widening inequality; and (Figure 2, lower chart)
• Fitch Ratings and Moody's both revised their outlooks on the Philippine banking sector to negative/deteriorating, citing weaker growth, elevated inflation, and rising credit-quality risks. 

These are not anomalies existing outside the system. They are operating realities revealed through different analytical lenses than aggregate income.

Figure 3

Think of it: the Philippines was upgraded to an UPPER-middle-income economy after GNI per capita reached about US$4,850 (roughly Php 290,000 per person on average at USDPHP 60). Yet more than half of Filipinos continue to describe themselves as poor! A 2021 PIDS study suggests that only about 4.9% of the 2015 population fell within the upper-middle-income category (though this share may be higher today).  The same label—"upper-middle income"—thus describes two very different concepts: a national average and the distribution of household incomes. (Figure 3) 

In effect, the income profile of a relatively small segment becomes the statistical basis for relabeling an entire economy! 

This is precisely why SWS founder Mahar Mangahas recently argued that attaining "upper middle income" under the World Bank's standards has no more bearing on the economic well-being of Filipinos than gross national product (GNP) itself, nor does the re-classification indicate the growth of the Filipino middle class. 

His observation underscores the central weakness of benchmark-based classifications: they elevate national aggregates while obscuring the underlying distribution they purport to represent. 

That narrative matters because it influences capital allocation, sovereign risk assessments, financing conditions, and ultimately public perceptions of politically driven economic success.

I.3. Why the Upgrade Matters 

The World Bank's reclassification does not merely describe the Philippine economy. It repositions the country within the global financial architecture. 

Like a sovereign credit-rating upgrade, upper-middle-income status functions as a positive signal. It suggests lower development risk, strengthens perceptions of macroeconomic stability, and improves access to cheaper domestic and international financing. 

More importantly, it helps validate the existing development model. 

Governments gain external affirmation of their policies. Large borrowers—particularly the state, banks, and major conglomerates—benefit from lower financing costs and easier access to capital. The benchmark itself becomes part of the financing mechanism. 

This is precisely how benchmarkism operates. 

The benchmark does not simply measure economic performance. 

It helps manufacture the confidence that facilitates cheaper money. 

Cheaper money, in turn, reinforces the same intervention-dependent political-economic structure that produced the benchmark in the first place. 

Theoretically, the process becomes self-reinforcing. 

Part II: The Anatomy of Intervention-Driven Growth 

If the World Bank measured the outcome, the more important question is what produced it. 

The answer lies not simply in higher output, but in a transformation of the Philippine economy's financing structure. 

The pandemic response did far more than stabilize economic activity. It altered the relationship between savings, investment, credit, and government spending. Instead of allowing the economy to adjust through market liquidation and the rebuilding of private savings, policy increasingly relied on liquidity creation, deficit spending, and regulatory accommodation to sustain aggregate demand.

Figure 4

Growth therefore became progressively less dependent on internally generated savings and increasingly dependent on policy induced balance-sheet expansion. 

Record domestic claims-to-GDP and the persistence of elevated M2-to-GDP ratios since the pandemic expose the economy's drift toward financialization: a growing dependence on credit expansion and liquidity creation that has made growth increasingly vulnerable to financial fragility. (Figure 4, upper diagram) 

The paradox is that as the economy has become more financialized, growth has steadily slowed since 2022, exposing the diminishing returns of intervention-driven expansion. 

II.1. From Savings to Debt 

One of the least discussed consequences of the post-pandemic policy regime has been the widening savings-investment gap (SIG). Official or GDP based saving-investment gap reached a record Php 3.9 trillion in 2025 (Figure 4, lower image) 

Traditionally, investment is financed by accumulated private savings. Under the intervention regime, however, an increasing share of investment has been financed through government deficits, bank credit, and expanding corporate leverage. 

In effect, policy induced balance-sheet expansion substituted for capital accumulation. 

This distinction is largely invisible in aggregate income statistics. Gross National Income records the resulting income flows, but not whether they were financed through rising productivity or through increasing indebtedness. 

That difference is fundamental because both paths can generate higher measured income in the short run while producing very different long-term outcomes. 

II.2. Growth and Fragility Are Two Sides of the Same Process 

The Bangko Sentral ng Pilipinas' own 2025 Financial Stability Report offers a different perspective on the same expansion. 

Rather than focusing on income, it focuses on balance sheets.

Figure 5

Its latest assessment warns of approximately Php 4.8 trillion in leveraged exposures among non-financial corporations, equivalent to 60.0% of total NFC debt and 21.2 % of nominal GDP, largely concentrated in real estate, power, energy, ICT, construction, manufacturing, and other conglomerate-dominated industries. 

Notably, these are substantially the same sectors that the World Bank cites as evidence of "gains across all major industries." What appears in the World Bank's framework as broad-based sectoral progress is, from a political economy perspective, also the expansion of highly leveraged, elite conglomerates that dominate those industries. 

These sectors have also been among the principal channels through which post-pandemic credit expansion has been transmitted. 

San Miguel Corporation provides a concrete illustration of this balance-sheet expansion at the firm level. According to its SEC filings (17-Q and 17-A), outstanding debt reached approximately Php 1.668 trillion in Q1 2026, up from Php 1.587 trillion in Q4 2025. (Figure 5, lower chart) 

While this figure is not directly comparable to the BSP’s aggregate estimate of corporate leverage, it reflects the scale of debt-financed expansion within one of the country’s largest conglomerates operating inside the same macro-financial environment. 

This is not a contradiction.

It is the other side of the same process. 

Credit-supported expansion can simultaneously produce higher income and higher systemic vulnerability. 

Measured growth and financial fragility are therefore not competing explanations. 

They are complementary outcomes generated by the same intervention regime. The benchmark records the expansion in output; the balance sheet reveals the leverage that helped produce it. Looking only at the former mistakes one dimension of the process for the whole. 

II.3. The Missing Dimension 

None of this appears in the World Bank's Atlas GNI. 

Nor is it intended to. 

The Atlas methodology answers a narrow question: 

Has national income crossed a specified statistical threshold? 

It does not ask:

• how that income was financed;
• whether national income reflected productivity gains or leverage;
• whether debt increasingly replaced private savings;
• whether intervention became permanent policy;
• whether balance-sheet risks accumulated alongside growth; or
• whether rising income translated into broad improvements in household welfare. 

Those questions belong to political economy and financial stability—not to the construction of an income benchmark. 

Yet they are precisely the questions that determine whether today's measured prosperity proves durable tomorrow. 

The World Bank's upgrade therefore captures only one dimension of the Philippine economy.

The BSP's Financial Stability Report, Savings-Investment gap, BSP’s liquidity conditions, SWS survey, Top 50 Forbes net worth captures another. 

But taken together, they describe an economy in which rising income and rising fragility have emerged from the same underlying development model. 

Part III: Benchmarkism in Action 

III.1. From Measurement to Mechanism 

Benchmarkism does not end with the publication of a statistic. Its operative function begins when that statistic is accepted as a proxy for economic reality in policy and financial decision-making. 

This is not limited to income classification. 

Across the same period in which the World Bank highlighted the Philippines’ broad-based expansion, other indicators pointed to a more complex underlying structure: persistent inflation above target, slowing economic momentum, rising corporate leverage, concentrated exposures flagged by the BSP Financial Stability Coordination Council, and continued self-rated poverty among a majority of households. These are not anomalies outside the system. (This pattern has been examined in greater detail in the author's earlier stagflation series.) 

They are different manifestations of the same economy observed through non-aggregate lenses. 

Yet the Atlas GNI ultimately presents these diverse developments through a single aggregate benchmark. Once accepted as a signal of economic progress, that benchmark becomes the language through which policymakers, investors, lenders, and the public increasingly interpret the economy. 

III.2. The Benchmark Effect 

The World Bank’s reclassification does not merely describe the Philippine economy. It alters how the economy is interpreted in financial markets and policy discourse. 

The response was immediate. President Marcos Jr.'s administration, the Bangko Sentral ng Pilipinas, and the Department of Economy, Planning, and Development presented the reclassification as external validation of the country's economic management, reinforcing the narrative of policy success.  Like a stroke of luck, the UMIC upgrade arrived just as the administration faced record-low popularity ratings and only weeks before the President's State of the Nation Address (SONA). 

Like a sovereign credit-rating upgrade, upper-middle-income status signals reduced development risk, strengthens perceptions of macroeconomic stability, and supports access to cheaper financing. 

This is reflected in market outcomes--the Philippine government’s US$2.5 billion sovereign bond issuance and more than US$1 billion in World Bank financing for the energy sector happened just days before the UMIC upgrade announcement. 

Whether coincidental or not, the sequencing highlights the functional role of benchmarks: statistical upgrades shape perceptions of risk, and perceptions of risk influence financing conditions. 

• Confidence lowers perceived risk.
• Lower perceived risk reduces borrowing costs.
• Cheaper financing extends the policy space of the existing economic model. 

In turn, favorable economic benchmarks also reinforce political legitimacy. They furnish incumbent policymakers with externally certified evidence of success, strengthening the credibility of existing policies and improving the prospects for advancing their political and legislative agenda. 

Confidence, therefore, is not the endpoint. It is the transmission mechanism. 

Cheap money is the immediate financial outcome. Political reinforcement is its institutional counterpart. Together, they help sustain the intervention regime that produced the benchmark in the first place. 

III.3. Cui Bono? 

Political economy asks a simple question: who benefits? 

Governments benefit from external validation of economic performance. The narrative shifts from inflation pressures, rising leverage, and structural constraints toward international recognition of progress. 

Sovereign borrowers gain improved access to global capital markets. Large conglomerates—among the most credit-dependent actors in the economy—benefit from lower funding costs and easier refinancing conditions. Financial markets receive reinforcement of the prevailing development narrative. 

The distributional effects are uneven. Gains are concentrated among state-linked financial actors and large corporate borrowers, while adjustment costs are diffuse across households facing persistent inflation, structural debt accumulation, and constrained real income growth. 

Benchmarkism does not eliminate these conditions. It reorganizes how they are perceived and politically processed.

III.4. On the Question of Coordination 

It is important to recognize that benchmark institutions do not operate in political isolation. They function within broader political and diplomatic environments where engagement between sovereign governments and international organizations is continuous and multifaceted, involving formal reporting, technical consultations, policy dialogue, and high-level interactions. Of course, there are also informal dialogues and interactions that can take place. 

Benchmark outcomes may be grounded in standardized statistical methodologies, but their interpretation, framing, and policy significance are shaped within this broader institutional ecosystem. Consequently, formally independent classifications can acquire political and strategic importance when they reinforce the interests, objectives, or narratives of multiple stakeholders. 

None of this, by itself, demonstrates explicit coordination or political bargaining, nor should such claims be presented as established fact. It does suggest, however, that benchmark systems cannot be understood solely as technical exercises divorced from the political economy in which they operate. 

Whether one describes the resulting alignment as coordination, convergence, or mutually reinforcing incentives, the practical consequence is similar: favorable benchmark outcomes strengthen confidence in the prevailing development model at moments when that confidence carries tangible political and financial value.

III.5. The Accountability Gap 

If the underlying fragility — conglomerate leverage, the savings-investment gap, persistent inflation above target — resolves badly in the coming years, there is no mechanism by which the World Bank bears any cost for having certified resilience at the peak of the imbalance (no skin in the game). 

The Philippines bears the full cost either way. Balisacan himself conceded as much in the same breath as the celebration: income disparities persist, many still face economic difficulty. 

Of course, the classification can be revised. The narrative can be updated. 

Benchmarkism can shape expectations. But it cannot absorb economic consequences. 

IV. Conclusion: Beyond the Benchmark 

The Philippines' upgrade to upper-middle-income status is more than a statistical event. In practice, it becomes a political and financial one. 

Governments present it as external validation of economic management, financial markets interpret it as a positive signal, and institutional confidence is reinforced far beyond the narrow question of national income. 

An aggregate measure of national income thus becomes more than a statistical classification. It becomes a signal of economic success. That signal shapes confidence. Confidence influences the price of risk. Lower perceived risk facilitates cheaper financing, reinforcing the same political-economic structure that generated the benchmark in the first place. 

That is the central proposition of benchmarkism. Benchmarks are not merely passive measures of economic conditions. Once embedded in policy, finance, and public discourse, they become institutional mechanisms that shape expectations, influence the allocation of capital, and reinforce existing political-economic arrangements. 

Whether the Philippines' recent gains ultimately reflect durable productivity and genuine capital formation or an economy increasingly sustained by intervention, leverage, and confidence management remains to be seen. Time—not statistical thresholds—will render that judgment. 

Benchmarks can shape narratives. They can influence incentives. They can buy confidence. 

They cannot repeal economic reality. 

____

Notes

See the author's Stagflation series, Parts 1–11, for a more detailed examination of the interaction between slowing growth, persistent inflation, and intervention-driven expansion.

 

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

  

Central bankers always try to avoid their last big mistake. So every time there's the threat of a contraction in the economy, they'll over stimulate the economy, by printing too much money. The result will be a rising roller coaster of inflation, with each high and low being higher than the preceding one—Milton Friedman 

In this issue:

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

I. Introduction: Markets Are Repricing the Stagflation Regime

II. Sovereign Repricing Is Becoming a Banking Problem

III. The Liquidity Boom Concealed Structural Fragility

IV. March 2026: Hidden Cost of Relief Measures

V. Bank Liquidity Improved—But Mainly Through Deposit Expansion

VI. The Wile E. Coyote’s Denominator Effect

VII. Sovereign Absorption, AFS Portfolios, and Hidden Duration Stress

VIII. Reflexivity: When Accommodation Starts Feeding Instability

IX. The Savings-Investment Gap: From Development Narrative to Stagflationary Dependence

X. Why the Oil Shock Broke Mainstream Models

XI. The Banking Contradiction: Why System Normalization Is a Mirage

XII. Conclusion: Accommodation Without Resolution Redux 

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

How inflation, sovereign dependence, and financial repression are turning banks into the shock absorbers of a stagflationary regime. 

I. Introduction: Markets Are Repricing the Stagflation Regime 

On Friday, May 15, 2026, the USDPHP closed at a record 61.721—another historic low for the peso and its 16th record high of the year. Every prior “comfort level” for the currency has effectively been erased. The peso is now among Asia’s worst-performing currencies year-to-date. 

Yet the peso’s decline may not even be the most important market signal.

Figure 1

Far more consequential is the ongoing repricing inside the domestic bond market. BVAL Treasury yields—particularly at the belly of the curve—have surged beyond prior cycle highs, while longer-dated maturities are rapidly approaching 2022 stress levels (Figure 1) 

The move no longer resembles a temporary inflation scare or speculative overshoot. Markets are increasingly repricing sovereign, inflation, and currency risk simultaneously. 

The distinction matters. 

Peso weakness reflects external imbalance. But rising bond yields directly strike the balance sheets of the Philippine banking system.

Banks sit at the center of the country’s macro-financial structure. Backstopped by the BSP, they financed the pandemic rescue cycle, intermediated the post-pandemic liquidity surge, absorbed expanding government debt issuance, and enabled credit expansion into politically favored sectors. In the process, banks became increasingly exposed to the very distortions created by the policies that artificially sustained nominal growth.

Mainstream narratives continue to describe the banking system as “well-capitalized,” “liquid,” and “resilient.” But these are largely backward-looking accounting conditions rather than forward-looking assessments of systemic vulnerability.

The issue is not whether banks currently satisfy regulatory ratios. The issue is the sustainability of a macro-financial structure that has become increasingly dependent on continual liquidity accommodation, regulatory forbearance, and suppressed volatility to prevent the emergence of deeper systemic stress.

That is the deeper significance of stagflation.

Stagflation is not merely the coexistence of inflation and slowing growth. It is the progressive collision between inflation persistence, fiscal dependence, external fragility, and financial leverage.

And in the Philippines, those pressures are increasingly converging on the banking system.

II. Sovereign Repricing Is Becoming a Banking Problem 

Much of the recent discussion surrounding Philippine market turbulence has focused on USDPHP. But the more consequential development may be occurring inside the domestic bond market. 

The scale of the Philippine bond selloff is not background noise. It is the primary transmission mechanism through which macroeconomic stress migrates into bank balance sheets. 

Figure 2

Philippine Treasury securities have been among Asia’s worst-performing bonds in 2026 following the Iran War, with Philippine 10-year yields rising the most among ASEAN bonds. (Figure 2, top and middle windows)

Ironically, this deterioration has unfolded even as the Philippines prepares for inclusion in the JP Morgan Emerging Market Debt Index in January 2027. Would JPMorgan issue a downgrade? 

The significance of the selloff is frequently misunderstood.

For banks, rising yields are not merely inconvenient market fluctuations. Higher yields translate directly into mark-to-market losses, duration stress, weaker securities valuations, and tighter liquidity conditions.

This matters because Philippine banks substantially increased exposure to government securities beginning in 2015, with the trend accelerating during the pandemic era. Banks’ net claims on the central government (NCoCG) rose, alongside public debt hitting all-time highs last March with NCoCG at PHP 6.258 trillion accounting for 33% of the PHP 18.488 trillion public debt. (Figure 2, lowest image)

The pandemic response institutionalized a regime in which: 

• fiscal deficits exploded,
• BSP liquidity injections surged,
• banks absorbed massive sovereign issuance,
• and government debt became increasingly embedded as collateral throughout the financial system. 

That framework functioned as long as: 

• inflation remained politically manageable,
• the peso avoided disorderly depreciation,
• and yields stayed artificially suppressed.

Stagflation changes the equation.

Persistent inflation forces markets to demand higher nominal yields. External fragility pressures the currency. Fiscal dependence requires continual debt issuance even as government borrowing increasingly crowds out private credit formation. Every upward move in yields simultaneously erodes the market value of existing bond holdings. 

This is why the present environment matters. 

• The repricing is occurring precisely when: 
• public debt remains elevated,
• fiscal deficits remain structurally wide,
• external financing conditions are tightening,
• and growth quality is deteriorating.

In effect, banks are becoming trapped between sovereign financing dependence and market repricing. 

The system cannot easily tolerate market-clearing yields because the fiscal structure, banking system, and asset markets have all become deeply dependent on suppressed financing costs.

Yet suppressing yields amid inflation and peso weakness merely transfers pressure into currency depreciation, financial repression, and deeper balance-sheet distortions.

This is the core contradiction of financial repression. 

The state increasingly depends on banks to intermediate expanding sovereign debt burdens even as inflation and currency weakness steadily erode the real foundations supporting those balance sheets.

III. The Liquidity Boom Concealed Structural Fragility

The banking pressures now emerging did not appear spontaneously. They were incubated even before the post-pandemic liquidity cycle.

For years, policymakers and mainstream economists treated liquidity expansion as a stabilizing force. Rapid M2 and M3 growth were interpreted as signs of recovery, resilience, and normalization.

Figure 3

Credit (domestic claims) and liquidity (M2) expansion as a share of GDP have been rising since 2011, accelerated in pre-pandemic 2019, and have since reached key milestones. The GDP’s ever-deepening dependence underscores bank-led financialization, even as the GDP rate continues downward path. (Figure 3, topmost pane)

But liquidity creation is NEVER neutral.

The critical issue is not simply the quantity of money creation, but where newly created liquidity enters the system first and how credit allocation is shaped by political and institutional incentives.

In classic Cantillon effect-fashion, the earliest beneficiaries of post-pandemic liquidity expansion were sectors closest to BSP’s sovereign financing and bank credit intermediation—the primary sources of money creation. 

Liquidity increasingly flowed into: 

• government financing,
• real estate carry structures,
• politically connected infrastructure,
• speculative financial activities,
• electricity and utility-related lending,
• and consumer leverage amplified by credit card rate caps.

As a result, credit card lending surged even as household purchasing power weakened. 

Electricity and utility-related lending climbed sharply since 2024 despite deteriorating GDP. (Figure 3, middle graph) 

Consumer finance became one of the banking system’s primary growth engines since the pandemic even as real wage pressures intensified. (Figure 3, lowest diagram) 

This created the appearance of nominal resilience.

But much of the expansion reflected liquidity recycling rather than productivity-driven growth. The banking system increasingly functioned as a transmission mechanism for sustaining aggregate demand despite weakening real income conditions. 

That distinction is critical.

When economies rely on debt expansion to preserve consumption amid deteriorating purchasing power, balance sheets gradually become more fragile beneath the surface.

Stagflation magnifies this process because inflation compresses household cash flows while slowing real activity weakens repayment capacity.

Banks may initially report: 

• strong nominal loan growth,
• healthy net interest margins,
• and stable headline balance-sheet conditions.

But over time, the quality of that growth deteriorates. 

The result is a system where: 

• nominal lending remains elevated,
• asset prices become increasingly policy-dependent,
• and underlying credit quality quietly weakens beneath the surface.

This is why banking stress under stagflation is often delayed rather than immediate. 

Liquidity masks fragility for awhile. 

Then inflation, higher yields, and slowing real activity begin to expose it. 

IV. March 2026: Hidden Cost of Relief Measures 

The BSP’s April 2026 regulatory and loan relief measures—officially framed as emergency support for the oil shock—should not be interpreted as neutral policy tools. 

Relief regimes redistribute risk asymmetrically. 

Large banks, politically connected borrowers, and institutions with privileged regulatory access typically receive greater flexibility, balance-sheet protection, and time than smaller firms or ordinary households. In that sense, crisis accommodation functions not merely as stabilization policy, but as a mechanism that risks deepening moral hazard and reinforcing regulatory capture. 

This institutional structure matters because the BSP’s policymaking apparatus remains deeply intertwined with the banking establishment itself, populated largely by former executives from major domestic banks and multinational financial institutions. 

The issue is not necessarily conspiracy, but institutional incentive alignment: policymakers shaped by the same financial architecture they supervise will naturally tend to prioritize preservation of that structure. Experience and familiarity shapes incentives. Networks shape policy reflexes. Politically connected interest groups also shape policy trajectories. 

Against that backdrop, March 2026 marked the transition phase before the formal implementation of April’s relief measures. 

Echoing aspects of the pandemic playbook, banks were likely already repositioning balance sheets in anticipation of regulatory flexibility, liquidity support, prudential accommodation, and accounting relief.

V. Bank Liquidity Improved—But Mainly Through Deposit Expansion 

March banking data showed a modest improvement in headline liquidity conditions, though the rebound was driven primarily by deposit expansion rather than internally generated balance-sheet strengthening.

Figure 4

Cash and due from banks posted their first expansion since August 2024, lifting the cash-to-deposit ratio marginally from February’s record lows. Yet despite the rebound, liquidity buffers remained historically thin. (Figure 4, topmost image)

The apparent improvement largely reflected accelerating deposit growth.

Peso and FX deposits both strengthened during Q1, consistent with the sharp rebound in M2 and M3 liquidity growth. BSP accommodation had likely already begun filtering through the banking system even before the formal April relief package. (Figure 4, middle visual)

Yet beneath the headline stabilization, underlying liquidity conditions remained fragile.

Liquid assets-to-deposits continued drifting downward toward pre-rescue March 2020 levels, suggesting banks were still operating with structurally compressed liquidity cushions despite years of extraordinary accommodation.

The apparent stabilization therefore reflected funding inflows more than genuine liquidity resilience.

That distinction matters because stagflation eventually tests liquidity quality—not merely liquidity quantity.

VI. The Wile E. Coyote’s Denominator Effect 

March banking data appeared superficially stable. 

Headline nonperforming loan (NPL) ratios remained broadly steady. But this stability increasingly resembles what we have repeatedly described as the banking system’s Wile E. Coyote denominator effect—where deteriorating fundamentals become statistically obscured by rapid balance-sheet expansion. (Figure 4, lowest chart)

Gross nonperforming loans climbed to fresh record nominal highs in March or bad loans continued rising.

Denominator growth simply outran visible recognition or rapid Total Loan Portfolio (TLP) expansion temporarily compressed headline NPL ratios, masking the deterioration emerging underneath the surface.

Stable ratios can therefore conceal worsening underlying conditions.

The same pattern increasingly appeared in loan-loss provisioning.

Figure 5

Allowance for credit losses rose to near-record levels. At first glance, this appeared reassuring—a sign of prudence and reserve accumulation. (Figure 5, topmost chart)

But once again, denominator growth mattered.

Provisioning growth lagged behind TLP expansion, causing reserve ratios to soften despite intensifying macroeconomic stress.

This raises an increasingly uncomfortable question: 

Are provisions genuinely strengthening resilience, or merely struggling to keep pace with an increasingly leveraged and slowing credit structure? 

Under normal expansionary conditions, rapid credit growth can dilute emerging stress and stabilize reported metrics. 

But stagflation changes the equation. 

If slowing growth weakens repayment capacity while inflation compresses household cash flow, denominator support itself begins to weaken. 

That is when the Wile E. Coyote effect comes into play. It exposes the statistical artifice hidden behind the headline numbers. What once appeared statistically stable deteriorates rapidly once loan growth slows and hidden losses become harder to dilute. 

Like Wile E. Coyote, once he realizes he has run far past the cliff, gravity takes hold. 

VII. Sovereign Absorption, AFS Portfolios, and Hidden Duration Stress 

The sovereign absorption trade also intensified.

Banks continued aggressively accumulating government-linked assets, reinforcing the increasingly symbiotic relationship between fiscal deficits and bank balance sheets.

Held-to-Maturity (HTM) securities presently reclassified as “Debt Securities- Net of Amortization” climbed to record highs, reflecting continued sovereign intermediation. HTMs accounted for 67% of NCoCG. (Figure 5, middle chart)

At the same time, Available-for-Sale (AFS) portfolios surged sharply. (Figure 5, lowest diagram)

On paper, rising securities holdings appear consistent with liquidity strength.

Under stagflation, however, they increasingly become a source of vulnerability.

The recent repricing in Philippine Treasury yields—particularly at the belly of the curve—directly pressures AFS portfolios through mark-to-market losses. 

This creates a predictable institutional response.

Banks increasingly face incentives to migrate securities toward HTM classification, where unrealized market losses avoid immediate recognition.

But this merely alters accounting treatment.

It does not eliminate duration risk.

HTM migration may suppress accounting volatility, but it also reduces balance-sheet flexibility by locking assets into longer-duration structures that become less liquid under stress. 

In effect, banks increasingly face a tradeoff between accounting stability and actual balance-sheet resilience. 

Signs of strain are already beginning to emerge beneath headline stability.

Figure 6

Banking sector’s income growth remained near stagnation in Q1 2026, rising only 2.86%, as accumulated market losses continued suppressing profitability. Financial market-related losses remained elevated at roughly Php 43.5 billion—persistently sustained since Q2 2025 and approaching pandemic-era stress peak levels recorded in Q4 2020. (Figure 6, topmost pane)

At the same time, balance-sheet pressures intensified. Despite record investment holdings, accumulated foreign exchange and fixed-income valuation losses surged toward Php 120 billion in March, revisiting conditions last seen during the December 2022 repricing cycle. Valuation losses have accompanied the spike in 10-year yields. (Figure 6, middle chart)

At the same time, dependence on wholesale funding continued rising, with bank borrowings reaching fresh record highs in March. (Figure 6, lowest graph)

These developments matter because they suggest the banking system entered the oil-shock phase already carrying unresolved vulnerabilities—even before the full effects of stagflation have emerged.

VIII. Reflexivity: When Accommodation Starts Feeding Instability 

The deeper problem is that banking conditions are becoming increasingly reflexive.

• BSP accommodation boosts liquidity.
• Banks expand nominal credit.
• Credit growth reinforces inflation persistence.
• Inflation pressures bond yields higher.
• Higher yields weaken securities portfolios.

Banks then become increasingly dependent on regulatory relief, accounting migration, and additional liquidity support to preserve stability.

Authorities subsequently face pressure to deliver even more accommodation to prevent broader financial stress.

Rather than resolving fragility, accommodation increasingly delays recognition while compounding the imbalances generating the stress itself.

This is why March 2026 matters.

The banking system did not enter the oil-shock phase from a position of clear strength.

It entered with:

• thin liquidity cushions,
• rising sovereign exposure,
• growing duration risk,
• weakening profitability quality,
• and balance sheets increasingly dependent on denominator growth to suppress visible deterioration.

In that sense, the BSP’s April relief measures do not represent resolution. 

They may instead buy time at the cost of deeper sovereign dependence, greater balance-sheet distortion, and the continued accumulation of unresolved imbalances. 

What emerges is not crisis resolution, but the institutionalization of permanent accommodation as the operating framework of the financial system. 

IX. The Savings-Investment Gap: From Development Narrative to Stagflationary Dependence

Figure 7

One of the least discussed yet the most critical indicator of the Philippine economy’s underlying fragility resurfaced in Q1 2026: the savings-investment (S-I) gap widened to Php 1.03 trillion, the largest in two years. (Figure 7, upper image)

At first glance, orthodox macroeconomic interpretation treats this as manageable—even desirable.

Weak private demand supposedly justifies larger public spending to sustain GDP growth.

Under this framework, government borrowing and expenditure become stabilizing tools: when households retrench and private firms hesitate, the state steps in as spender, borrower, allocator, and increasingly, guarantor of aggregate demand.

But this framing obscure deeper structural problems.

The S-I gap’s weakness as a framework begins with the fact that it is fundamentally an accounting identity: 

savings minus investment equals the current account balance. 

But accounting identities explain what balances, not whether the underlying structure generating those balances is sustainable. 

A widening S-I gap signals that domestic savings are increasingly insufficient to internally finance the economy’s investment requirements. 

That gap must be financed somehow:

• domestic borrowing,
• foreign borrowing,
• monetary accommodation,
• or inflationary erosion of purchasing power. 

In practice, the Philippines has increasingly relied on all four. 

Yet even the accounting itself deserves scrutiny. 

GDP-based national income statistics classify government construction and public expenditures as “investment” regardless of whether such projects satisfy market tests of profitability, cash-flow viability, or sustainable demand. 

Unlike private capital formation—disciplined by profit and loss—politically allocated spending often survives through taxation, subsidies, refinancing, regulatory privilege, or continued deficit support. 

That distinction matters. 

The deeper issue is not merely that investment exceeds savings. 

The issue is whether debt-financed and liquidity-supported investment generates sufficient productive capacity to repay the claims being created today. 

If not, the system gradually becomes dependent on:

• continual debt issuance,
• BSP accommodation,
• financial repression,
• inflation leakage,
• and sustained regulatory interventions

simply to maintain nominal growth. 

This is where the government debt story becomes inseparable from the S-I gap. 

The Philippines increasingly appears trapped in a feedback loop where weak domestic savings require greater dependence on debt expansion, while debt-financed growth itself weakens incentives for genuine savings formation. 

Public debt may still appear manageable relative to advanced economies. 

But such comparisons are misleading.

The issue is not merely debt-to-GDP ratios. Q1 debt/GDP hit 65.2%—a 21 year high, although the Palace did raise their supposed ceiling/ debt metric to 70% last year. (Figure 7, lower graph) 

The issue is whether the economy possesses a sufficiently productive and self-sustaining capital structure capable of carrying rising debt burdens without continual intervention. 

Much of recent growth has increasingly depended on: 

• public spending,
• sovereign borrowing,
• liquidity expansion,
• credit-financed speculation and capital misallocation,
• and consumption smoothing through leverage. 

Banks increasingly sit at the center of this arrangement.

As fiscal financing requirements expand, financial institutions absorb rising sovereign issuance, redirecting balance sheets toward government exposure. Domestic savings that might otherwise finance entrepreneurial activity and decentralized capital formation increasingly fund deficit spending instead. 

This is the sovereign-bank nexus. 

The more the state depends on debt expansion, the more banks become intertwined with fiscal sustainability itself. 

The result is not necessarily immediate displacement, but gradual crowding out through balance-sheet absorption. Capital increasingly flows toward politically backed financing channels rather than decentralized entrepreneurial allocation. Over time, this dynamic contributes to rising funding costs, weaker private-sector dynamism, and greater systemic dependence on policy support. 

This dynamic helps explain the coexistence of:

• slowing real growth,
• persistent inflation pressures,
• weakening household balance sheets,
• deteriorating external accounts,
• peso weakness,
• and repeated liquidity accommodation. 

The S-I gap therefore becomes more than a macroeconomic statistic. 

It represents a blueprint of the political economy’s development structure itself. 

The widening imbalance reflects an institutional preference for:

• demand management over productivity reform,
• centralized allocation over decentralized capital formation,
• and short-term GDP optics over long-term savings formation. 

Under stagflationary conditions, these dependencies become progressively harder to sustain without some combination of:

• higher inflation,
• deeper financial repression,
• currency weakness,
• slower real growth,
• or escalating policy interventions.

The irony is difficult to ignore. 

Policies justified as temporary stimulus to compensate for private-sector weakness may gradually become one of the mechanisms entrenching that weakness in the first place. 

X. Why the Oil Shock Broke Mainstream Models 

The recent Iran War oil shock exposed more than a forecasting error. It revealed a deeper epistemological problem embedded in mainstream macroeconomics—and the fragility of the broader economic structure underlying its models.

Consensus inflation forecasts largely treated price pressures as transitory and primarily supply-driven. Yet econometric models depend on assumptions of relatively stable relationships between variables derived from past statistical regularities. Under asymmetric policy intervention, regime shifts, and politically conditioned responses, however, the sequence and transmission of economic effects become nonlinear and unstable.

Here, Hayek’s knowledge problem resurfaces. Dispersed human adaptation cannot be compressed into static coefficients without losing critical information. Households, firms, banks, and investors continuously adjust behavior in response to policy signals, financing stress, and deteriorating expectations. Besides, aggregates don’t capture individual utilities.

Once BSP and government intervention themselves became dominant market variables—through FX defense, liquidity management, subsidies, emergency powers, and CPI-conditioned signaling—the system became increasingly reflexive. Forecasts influenced behavior, behavior altered transmission channels, and the assumptions underlying the forecasts deteriorated in real time.

This is also where Goodhart’s Law becomes relevant. Once CPI evolved into a political metric of credibility, policies increasingly targeted the appearance of price stability while structural imbalances accumulated elsewhere in the system. Statistical stability increasingly masked mounting financial and economic fragility.

The recent oil shock exposed how vulnerable this framework had become. 

Higher oil and electricity costs did not merely raise transport expenses. 

They cascaded throughout the economy by: 

• weakening household cash flow,
• compressing corporate margins,
• increasing dependence on consumer credit,
• and intensifying financing stress across sectors. 

Policymakers increasingly responded through: 

• subsidies,
• price suppression,
• emergency powers,
• regulatory accommodation,
• and politically mediated financing mechanisms. 

But intervention does not eliminate scarcity or losses. 

It merely redistributes them across balance sheets. 

And much of that redistribution increasingly lands on: 

• banks,
• consumers,
• currency markets,
• and sovereign financing channels. 

This is why the EO-110 framework matters beyond energy policy. 

Once emergency intervention becomes normalized, financial systems gradually evolve toward permanent crisis management layered on top of earlier pandemic-era accommodation. 

Banks then cease functioning purely as market intermediaries. 

They increasingly become quasi-fiscal transmission mechanisms for stabilizing politically sensitive sectors and sustaining nominal demand. 

If inflation forecasting failed because intervention distorted price signals and altered transmission mechanisms, then the same critique increasingly applies to GDP interpretation itself. 

Again, macroeconomic models rely on assumptions of relatively stable relationships, functioning price signals, and coherent feedback mechanisms. But once policy intervention persistently reshapes incentives, suppresses market adjustments, and redirects capital flows, aggregate output statistics become progressively less reflective of underlying productive conditions. 

GDP then risks evolving from supposedly a “neutral and objective” measure of economic activity into a politically conditioned artifact of intervention-driven stabilization. 

XI. The Banking Contradiction: Why System Normalization Is a Mirage 

The contradiction facing the Philippine banking system is no longer merely financial. 

It is increasingly political, institutional, and macroeconomic. 

After years of liquidity support, sovereign absorption, and intervention-driven stabilization, policymakers increasingly face objectives that are difficult to reconcile simultaneously. 

Authorities want: 

• growth without recession,
• lower inflation without adjustment costs,
• currency stability without external rebalancing,
• rising public spending without disorderly debt repricing,
• and a resilient banking system without materially tighter financial conditions.

But these objectives increasingly conflict. 

Containing inflation requires tighter liquidity conditions. 

Yet tighter liquidity risks slowing credit growth, exposing weaker borrowers, and amplifying stress in already leveraged sectors. 

Allowing yields to rise restores market pricing. 

But higher yields increase government financing costs while simultaneously eroding the value of bank-held sovereign securities. 

Supporting the peso may stabilize inflation expectations. 

But it also tightens financial conditions in an economy already dependent on credit expansion.

Meanwhile, renewed liquidity accommodation preserves short-term stability but reinforces inflation persistence and sovereign dependence.

The complexity of the feedback loops escalates. 

This is the banking contradiction of stagflation: 

the policy required to resolve one imbalance increasingly intensifies another. 

The Philippine banking system sits at the center of these tensions because it has become deeply embedded in: 

• sovereign financing,
• household leverage,
• liquidity transmission,
• and policy stabilization itself.

This is what distinguishes the current environment from a conventional credit cycle.

In normal downturns, banks primarily absorb credit losses.

Under stagflation, banks become transmission mechanisms for multiple overlapping pressures: 

• inflation,
• currency weakness,
• fiscal dependence,
• bond repricing,
• and slowing real activity.

The result is not necessarily immediate instability.

The greater risk is policy paralysis driven by structural contradiction. 

Authorities increasingly rely on path dependent responses: 

• selective tightening,
• targeted relief,
• expanded public spending,
• liquidity support,
• moral suasion,
• shaping media narratives,
• accounting flexibility,
• and regulatory accommodation. 

But hybrid regimes rarely resolve underlying imbalances. 

They instead delay recognition while deepening structural dependence on future intervention. 

This is why “normalization” becomes progressively more difficult. 

The longer accommodation persists, the more balance sheets adapt to its presence. Imbalances accumulate. Risk becomes embedded in expectations. And even modest tightening can generate disproportionate stress.

That is the deeper trajectory of the current cycle. 

The question is no longer whether the banking system appears stable today. 

The question is whether it can reduce its dependence on a framework of continual accommodation, subsidy, and intervention—or whether that dependence eventually defines the limits of the system through disorderly adjustment. 

XII. Conclusion: Accommodation Without Resolution Redux 

The Philippine banking system is not facing an immediate crisis (yet). 

Headline capitalization remains intact. Liquidity has stabilized temporarily. Regulatory ratios still signal resilience. 

But stagflation rarely begins through sudden collapse. 

More often, fragility accumulates gradually beneath the surface, exacerbating existing imbalances while policy intervention delays recognition. 

This is increasingly the pattern now emerging. 

Rising sovereign dependence, widening savings deficiencies, credit-financed malinvestments, peso weakness, bond-market repricing, and slowing real growth are converging on the same balance sheets policymakers increasingly rely upon to sustain stability.

The contradiction is difficult to escape. 

Banks are expected to finance fiscal expansion, absorb duration risk, support credit growth, and remain resilient—all while inflation, external fragility, and political intervention steadily distort the price signals that normally discipline risk.

The danger is not merely weaker profitability or rising bad loans.

The greater risk is a system that becomes progressively dependent on continual accommodation simply to preserve the appearance of stability.

More concerning still is the INTENSIFYING POLITICIZATION of the industry as it is increasingly mobilized to serve the deepening financing needs of the state.

That is the deeper meaning of the current cycle.

The issue is no longer whether the banking system appears stable today.

The issue is whether the foundations sustaining that stability are becoming increasingly fragile beneath the surface.

The Philippine banking system may not yet be in crisis.

But it is increasingly operating under siege—and drifting toward one. 

___

References

1 Stagflation Is Already Here—Emergency Policies Are Now Entrenching It 

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

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

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

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

Seed Article:

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