South Korea Gross External Credit

KREXTCREDIT is a raw quarterly stock series recorded as reported without any transformation, the gross end-of-period holdings of debt claims of residents on nonresidents, stated in millions of U.S. dollars. It is the asset-side counterpart of gross external debt, so the difference between the two is the net external credit position, and because both are recorded gross rather than netted, the size of claims and of obligations remains separately visible.

The stock is a national-balance-sheet magnitude in the lineage of the external-wealth accounts, where a country's foreign assets and liabilities are tabulated as an international investment position whose change reconciles cross-border flows with valuation effects (Lane and Milesi-Ferretti 2001; Obstfeld 2012). Gross positions carry information beyond the net figure, since offsetting claims of similar size can still imply very different exposure to valuation and rollover risk through their currency and maturity composition (Gourinchas and Rey 2007b; Lane and Milesi-Ferretti 2018).

The measurement sits within the financial-accounts framework of moneyflows accounting, where every claim is entered as an asset of one sector and a liability of another (Copeland 1949; Stone 1966). The sectoral tabulation follows the national balance sheets built to record financial assets and liabilities stock by stock (Goldsmith, Lipsey, and Mendelson 1963), under the compilation conventions for sectoring units and classifying instruments (Dawson 1996).

Because the series is a stock rather than a flow, it is read through the intertemporal accounting identity linking saving, investment, the current account, and the change in net foreign assets (Obstfeld and Rogoff 1995), and the aggregate of external claims connects to the long-run credit-and-liquidity record in which rapid external accumulation has preceded instability (Schularick and Taylor 2012; Jordà, Schularick, and Taylor 2017). The series is carried without seasonal adjustment, so any seasonality it contains is a property of the data and not of a prior filter.

KRED applies no transformation to KREXTCREDIT, neither deflating, re-scaling, smoothing, annualizing, nor converting currency, so the published number is the compiled stock exactly as measured in its source unit, in millions of U.S. dollars. It is recorded gross rather than netted against external debt, and no seasonal adjustment is applied, since this is an original series.

The measurement basis is the international-investment-position framework for external assets and liabilities, whose estimation methods build gross and net foreign positions economy by economy (Lane and Milesi-Ferretti 2001; Lane and Milesi-Ferretti 2007). The claim components are compiled with component-by-component valuation, the practice established for measuring gross external positions over long spans (Gourinchas and Rey 2007a).

The underlying accounts are the financial accounts of the flow-of-funds system, first founded as moneyflows accounting (Copeland 1949) and later implemented as a full empirical construction (Copeland 1952), which records each instrument simultaneously as one sector's asset and another's liability under quadruple-entry bookkeeping. The stocks are read from the integrated social-accounting framework (Stone 1966) and tabulated on the national balance sheets (Goldsmith, Lipsey, and Mendelson 1963), following the handbook conventions for compiling financial accounts (Dawson 1996).

Aggregating heterogeneous cross-border claims into one currency total invokes index-number and aggregation theory, under which quantities combine through their weights into a consistent total (Barnett 1980; Diewert 1976). The series is an end-of-period position rather than a modelled quantity, and its level is reconciled with cumulated flows through the valuation channel that separates position change from transactions (Gourinchas and Rey 2007b; Obstfeld and Rogoff 1995).

Gross external credit measures the size of the claims a country holds on the rest of the world, so read alongside gross external debt it is a gauge of external solvency and vulnerability. The difference between the two aggregates, the net external credit position, is close to the balance-sheet counterpart of cumulated current accounts, yet the gross totals carry separate information, because gross claims and obligations of similar magnitude can still leave an economy exposed through their currency and maturity composition (Obstfeld 2012; Obstfeld and Rogoff 1995).

The stock of claims bounds the resources available to meet external obligations, while the liquidity and maturity of those claims differ instrument by instrument, so external liquidity is bounded only when claims and obligations are read together. The type of claim also matters for interpretation, since valuation and return behaviour differ across instruments (Gourinchas and Rey 2007b; Curcuru, Dvorak, and Warnock 2008).

These magnitudes sit within the external-wealth accounts, whose construction across many economies made the net foreign asset position a comparable object of analysis (Lane and Milesi-Ferretti 2001; Lane and Milesi-Ferretti 2018). The underlying financial accounts locate each claim within the circular flow of payments (Copeland 1952; Stone 1966), and the sectoral balance sheets record that accumulation as a stock (Goldsmith, Lipsey, and Mendelson 1963).

Rapid accumulation of external claims and liabilities has repeatedly preceded financial stress in the long-run macrofinancial record, so the level and growth of this stock inform assessments of external and systemic risk (Schularick and Taylor 2012; Jordà, Schularick, and Taylor 2017).

For market participants the stock of external claims is an input to sovereign and country risk, since its size relative to external debt shapes the probability of a disorderly external adjustment and feeds into sovereign spreads. Gross positions must be read with attention to valuation, because measured levels and returns on cross-border claims are sensitive to the estimation method (Gourinchas and Rey 2007a; Curcuru, Dvorak, and Warnock 2008).

Net creditor status is used to gauge the direction of external funding conditions and currency risk, and the net foreign asset position, of which this stock is a component, is the balance-sheet counterpart of cumulated current accounts and a determinant of the sustainable external path (Obstfeld and Rogoff 1995; Lane and Milesi-Ferretti 2001; Obstfeld 2012).

Because rapid growth in external and credit aggregates has been linked to crisis frequency, desks use the level and momentum of this stock to calibrate tail scenarios for currency and rates exposures (Schularick and Taylor 2012; Jordà, Schularick, and Taylor 2017). The valuation channel through which positions move independently of flows is itself a source of gains and losses on the external balance sheet, and the composition of claims governs that sensitivity (Gourinchas and Rey 2007b; Lane and Milesi-Ferretti 2018).

The financial accounts and national balance sheets that frame these positions are the same statements lenders, reserve managers, and macroprudential overseers consult when sizing external and funding risk (Goldsmith, Lipsey, and Mendelson 1963; Copeland 1949; Dawson 1996).

KREXTCREDIT is the gross external claims outstanding recorded without seasonal adjustment, and its published log-level is the statistical object, tested as a positive asset stock rather than a signed flow. The sample is 126 quarterly observations spanning 1994-10 to 2026-01, and the unit-root triplet is fitted on the log-level with a constant and trend.

The augmented Dickey-Fuller regression of Dickey and Fuller (1979), in the lag-augmented form of Said and Dickey (1984), fails to reject the unit root with a statistic of −1.297 at p = 0.889, the nonparametric test of Phillips and Perron (1988) concurs with a statistic of −1.341 at p = 0.877, and the stationarity-null test rejects trend stationarity with a statistic of 0.401 at p < 0.01 (Kwiatkowski et al. 1992), so all three procedures agree on a clean I(1) classification. The GLS-detrended escalation of Elliott, Rothenberg, and Stock (1996) is reserved for ambiguous outcomes under the house protocol and is not invoked on this clean reading.

Because the log-level is I(1), the portmanteau and the break search are run on its first difference, since a level portmanteau reads the near-unit autocorrelation of a stochastic trend and a level mean-break search spuriously segments it (Perron 1989; Hamilton 2018; Bai and Perron 1998). The portmanteau statistic of Ljung and Box (1978), refining the form of Box and Pierce (1970), rejects the white-noise null on the log-differenced series, with Q = 14.972 at lag 4 at p = 0.005 and Q = 15.779 at lag 8 at p = 0.046, and the multiple-break procedure computed by the dynamic-programming algorithm of Bai and Perron (2003) places one break in the mean of the log-differenced series, at 2007-01.

Because these claims data are not seasonally adjusted, the seasonal battery describes genuine seasonality rather than the residue of a prior filter. The seasonal-unit-root test of Hylleberg et al. (1990) rejects unit roots at the seasonal frequencies with a statistic of 187.829 at p = 0.000, so no stochastic seasonal unit root is present, the seasonal dummies are not jointly significant, with an F statistic of 0.531 at p = 0.662, so no deterministic quarterly pattern survives, and the seasonal portmanteau likewise fails to reject on the differenced series, with a statistic of 8.421 at p = 0.393, so no residual dependence at the seasonal lags is detected either. This absence of seasonal structure in an unadjusted quarterly stock is consistent with the seasonal-frequency framework of Canova and Hansen (1995) and with the seasonal-adjustment literature (Ghysels and Osborn 2001).