---
ticker: "KRBOKASSET"
title: "South Korea Bank of Korea Total Assets"
unit: "tril. KRW"
frequency: "Monthly"
source: "Bank of Korea (2003)"
release: "Updated Monthly"
category: "Monetary Data"
country: "KR"
language: "en"
canonical: "https://kred.dev/en/series/KRBOKASSET"
license: "https://creativecommons.org/licenses/by-nc-nd/4.0/"
latest_value: 667.90
latest_date: "2026-06-30"
first_date: "1990-01-31"
observations_total: 438
observations_shown: 120
---

# South Korea Bank of Korea Total Assets

## Overview

Central bank balance sheet assets, dominated by foreign reserves, as the gross liquidity base for the private sector.

## Key Figures

|  | Value | Date |
|---|---|---|
| Latest | 667.90 | 2026-06-30 |
| Change from previous | +66.64 | 2026-05-31 |
| Change over one year | +97.83 | 2025-06-30 |
| Highest on record | 667.90 | 2026-06-30 |
| Lowest on record | 37.73 | 1990-03-31 |
| Period covered | 1990-01-31 – 2026-06-30 |  |
| Observations | 438 |  |

## Recent observations

| Date | Value | Change |
|---|---|---|
| 2016-07-31 | 474.27 | +1.29 |
| 2016-08-31 | 474.55 | +0.28 |
| 2016-09-30 | 474.42 | -0.13 |
| 2016-10-31 | 467.10 | -7.32 |
| 2016-11-30 | 471.46 | +4.36 |
| 2016-12-31 | 480.32 | +8.86 |
| 2017-01-31 | 476.04 | -4.28 |
| 2017-02-28 | 478.68 | +2.64 |
| 2017-03-31 | 485.18 | +6.50 |
| 2017-04-30 | 479.43 | -5.75 |
| 2017-05-31 | 483.46 | +4.03 |
| 2017-06-30 | 475.88 | -7.58 |
| 2017-07-31 | 474.84 | -1.04 |
| 2017-08-31 | 477.25 | +2.41 |
| 2017-09-30 | 474.76 | -2.49 |
| 2017-10-31 | 474.29 | -0.47 |
| 2017-11-30 | 476.41 | +2.12 |
| 2017-12-31 | 470.58 | -5.83 |
| 2018-01-31 | 470.73 | +0.15 |
| 2018-02-28 | 478.96 | +8.23 |
| 2018-03-31 | 480.08 | +1.12 |
| 2018-04-30 | 484.55 | +4.47 |
| 2018-05-31 | 492.32 | +7.77 |
| 2018-06-30 | 500.08 | +7.76 |
| 2018-07-31 | 498.78 | -1.30 |
| 2018-08-31 | 502.62 | +3.84 |
| 2018-09-30 | 497.41 | -5.21 |
| 2018-10-31 | 497.54 | +0.13 |
| 2018-11-30 | 498.87 | +1.33 |
| 2018-12-31 | 495.30 | -3.57 |
| 2019-01-31 | 490.20 | -5.10 |
| 2019-02-28 | 493.82 | +3.62 |
| 2019-03-31 | 501.16 | +7.34 |
| 2019-04-30 | 496.83 | -4.33 |
| 2019-05-31 | 491.72 | -5.11 |
| 2019-06-30 | 503.94 | +12.22 |
| 2019-07-31 | 495.88 | -8.06 |
| 2019-08-31 | 500.88 | +5.00 |
| 2019-09-30 | 504.92 | +4.04 |
| 2019-10-31 | 490.20 | -14.72 |
| 2019-11-30 | 492.52 | +2.32 |
| 2019-12-31 | 492.57 | +0.05 |
| 2020-01-31 | 491.49 | -1.08 |
| 2020-02-29 | 502.91 | +11.42 |
| 2020-03-31 | 509.26 | +6.35 |
| 2020-04-30 | 528.55 | +19.29 |
| 2020-05-31 | 550.60 | +22.05 |
| 2020-06-30 | 566.93 | +16.33 |
| 2020-07-31 | 529.85 | -37.08 |
| 2020-08-31 | 537.62 | +7.77 |
| 2020-09-30 | 542.63 | +5.01 |
| 2020-10-31 | 533.75 | -8.88 |
| 2020-11-30 | 543.58 | +9.83 |
| 2020-12-31 | 538.73 | -4.85 |
| 2021-01-31 | 533.55 | -5.18 |
| 2021-02-28 | 541.44 | +7.89 |
| 2021-03-31 | 559.22 | +17.78 |
| 2021-04-30 | 547.99 | -11.23 |
| 2021-05-31 | 553.24 | +5.25 |
| 2021-06-30 | 565.14 | +11.90 |
| 2021-07-31 | 562.56 | -2.58 |
| 2021-08-31 | 574.19 | +11.63 |
| 2021-09-30 | 578.87 | +4.68 |
| 2021-10-31 | 576.76 | -2.11 |
| 2021-11-30 | 580.36 | +3.60 |
| 2021-12-31 | 595.64 | +15.28 |
| 2022-01-31 | 580.27 | -15.37 |
| 2022-02-28 | 584.31 | +4.04 |
| 2022-03-31 | 593.18 | +8.87 |
| 2022-04-30 | 563.78 | -29.40 |
| 2022-05-31 | 576.42 | +12.64 |
| 2022-06-30 | 611.50 | +35.08 |
| 2022-07-31 | 592.69 | -18.81 |
| 2022-08-31 | 606.39 | +13.70 |
| 2022-09-30 | 581.76 | -24.63 |
| 2022-10-31 | 583.58 | +1.82 |
| 2022-11-30 | 584.28 | +0.70 |
| 2022-12-31 | 582.83 | -1.45 |
| 2023-01-31 | 558.40 | -24.43 |
| 2023-02-28 | 575.58 | +17.18 |
| 2023-03-31 | 590.52 | +14.94 |
| 2023-04-30 | 556.95 | -33.57 |
| 2023-05-31 | 545.01 | -11.94 |
| 2023-06-30 | 572.83 | +27.82 |
| 2023-07-31 | 540.93 | -31.90 |
| 2023-08-31 | 537.45 | -3.48 |
| 2023-09-30 | 535.85 | -1.60 |
| 2023-10-31 | 518.25 | -17.60 |
| 2023-11-30 | 519.47 | +1.22 |
| 2023-12-31 | 536.40 | +16.93 |
| 2024-01-31 | 511.28 | -25.12 |
| 2024-02-29 | 515.46 | +4.18 |
| 2024-03-31 | 548.29 | +32.83 |
| 2024-04-30 | 512.23 | -36.06 |
| 2024-05-31 | 520.39 | +8.16 |
| 2024-06-30 | 563.67 | +43.28 |
| 2024-07-31 | 540.23 | -23.44 |
| 2024-08-31 | 554.43 | +14.20 |
| 2024-09-30 | 562.49 | +8.06 |
| 2024-10-31 | 539.46 | -23.03 |
| 2024-11-30 | 550.17 | +10.71 |
| 2024-12-31 | 595.52 | +45.35 |
| 2025-01-31 | 585.35 | -10.17 |
| 2025-02-28 | 569.32 | -16.03 |
| 2025-03-31 | 592.47 | +23.15 |
| 2025-04-30 | 562.28 | -30.19 |
| 2025-05-31 | 561.15 | -1.13 |
| 2025-06-30 | 570.07 | +8.92 |
| 2025-07-31 | 557.02 | -13.05 |
| 2025-08-31 | 563.88 | +6.86 |
| 2025-09-30 | 575.25 | +11.37 |
| 2025-10-31 | 571.48 | -3.77 |
| 2025-11-30 | 566.68 | -4.80 |
| 2025-12-31 | 631.00 | +64.32 |
| 2026-01-31 | 599.15 | -31.85 |
| 2026-02-28 | 589.66 | -9.49 |
| 2026-03-31 | 593.90 | +4.24 |
| 2026-04-30 | 600.61 | +6.71 |
| 2026-05-31 | 601.26 | +0.65 |
| 2026-06-30 | 667.90 | +66.64 |

## Definition

Total assets of the Bank of Korea are the sum of the asset side of the BOK balance sheet, centered on foreign exchange reserves (외환보유액) acquired for exchange rate management and external stability, together with government securities held for monetary policy purposes, loans to financial institutions through standing facilities, and securities acquired under repurchase agreements (환매조건부채권매입) during episodes of acute funding stress. Unlike the Federal Reserve, whose assets are primarily domestic government securities accumulated through open market operations and large-scale asset purchases, BOK assets reflect FX reserve accumulation and the sterilization dynamics that follow from sustained current account surpluses and capital inflow management.

Within the Korea Net Liquidity framework, BOK total assets serve as the gross liquidity measure from which liability-side drains are subtracted to obtain effective private-sector liquidity. Increases in total assets that are not offset by corresponding increases in government deposits, RP sales, MSB issuance, or MSA balances inject net liquidity into the financial system, whereas asset-side contraction without a corresponding liability-side unwinding drains liquidity.

## Methodology

The series is taken from the total assets item of the Bank of Korea's Key Accounts statistical release. It is reported as monthly end-of-period balances, with the raw series in billions of won divided by 1,000 to convert it to trillions of won for display consistency with the other Korea liquidity indicator series.

## Applications in Economics

Central bank asset holdings reflect the cumulative history of monetary and exchange rate policy operations, making them a summary indicator of the policy stance in economies where balance-sheet operations play a prominent role. Aizenman and Lee (2007) model foreign exchange reserve accumulation as a form of self-insurance against sudden stops in capital flows, arguing that the optimal reserve level depends on the probability and severity of external crises. For Korea, where foreign exchange reserves constitute the dominant component of BOK assets, this self-insurance motive has driven a structural expansion of the balance sheet that is qualitatively different from the QE-driven expansion of the Federal Reserve.

Reserve accumulation under a managed exchange rate serves as a buffer against the impossible trinity constraint in financially open economies. Obstfeld, Shambaugh, and Taylor (2010) establish this point by extending the analysis within the trilemma framework. Korea's combination of capital account openness, exchange rate management, and independent monetary policy creates persistent demand for reserve holdings, which manifests as structural growth in BOK total assets. Jeanne and Rancière (2011) formalize the optimal reserve problem and show that the insurance value of reserves depends on the country's exposure to sudden capital flow reversals, a consideration that has historically shaped Korean reserve policy following the 1997 Asian financial crisis.

Reserve accumulation by Asian central banks reflects both precautionary and mercantilist motivations in its composition and pace. Dominguez, Hashimoto, and Ito (2012) reach this finding by examining how reserve management practices vary across Asian central banks. For the BOK, the precautionary motive dominates in the literature, given Korea's experience with the 1997 crisis and the 2008 global financial crisis. Bussière et al. (2015) develop reserve adequacy metrics that combine short-term external debt, import coverage, and broad money ratios, providing a benchmark against which the observed level of BOK assets can be assessed for adequacy.

The sterilization implications of reserve accumulation create important feedback loops between the asset and liability sides of the BOK's balance sheet. When the BOK intervenes to purchase foreign currency, the domestic currency counterpart increases bank reserves, which must then be absorbed through MSB issuance or other sterilization operations to prevent unintended monetary easing. This connection means that BOK total assets cannot be interpreted in isolation but must be read jointly with the liability-side absorption instruments tracked in the other Korea liquidity indicator series.

## Applications in Financial Markets

For financial market participants, BOK total assets provide the starting point for constructing the Korea Net Liquidity measure that gauges effective monetary accommodation reaching the private financial system. Filardo and Yetman (2012) document that central bank balance-sheet size correlates with financial stability conditions in emerging Asian economies, as larger balance sheets imply greater capacity for lender-of-last-resort operations during stress episodes. The October 2022 Legoland ABCP default crisis illustrates this mechanism, as the BOK's emergency RP purchases expanded total assets while simultaneously injecting reserves into a dislocated funding market.

Monitoring BOK total assets alongside MSB issuance reveals whether the sterilization burden is increasing, which carries indirect implications for the quasi-fiscal cost of reserve management and for the pricing of MSBs in the secondary market. Aizenman and Sun (2012) analyze the reserve-sterilization nexus and show that the cost of sterilization rises as the interest differential widens between the MSBs that serve as the sterilization instrument and the reserve assets they fund, which are typically lower-yielding foreign government securities.

Surges in capital inflows that prompt BOK intervention appear first in total asset growth, making this series a leading indicator for the sterilization operations that follow. Park and Shin (2009) document the procyclical nature of cross-border capital flows into Korea and show that gross capital inflows amplify domestic credit conditions through the banking system. Choi, Sharma, and Strömqvist (2009) find that foreign exchange reserve levels are negatively correlated with sovereign CDS spreads for emerging market economies, suggesting that BOK asset growth carries a positive signaling effect for Korea's perceived creditworthiness.

For portfolio managers with Korean exposure, tracking BOK total assets provides a real-time gauge of the reserve buffer available to absorb external shocks, complementing the more granular liquidity decomposition available through the Net Liquidity framework. Frankel and Saravelos (2012) conduct a meta-analysis of early-warning indicators for financial crises and identify international reserves as one of the most consistently significant predictors across studies and crisis episodes.

## Statistical Tests

Over 435 observations from 1990-01-31 to 2026-03-31, the Bank of Korea total assets is integrated of order one on the log-level, with the Dickey and Fuller (1979) test in the Said and Dickey (1984) form not rejecting at p = 0.975, the Phillips and Perron (1988) test concurring at p = 0.9388, and the Kwiatkowski et al. (1992) test rejecting stationarity. On the first difference of the log the Ljung and Box (1978) portmanteau rejects white noise at lags 12 and 24, Q = 52.59 and Q = 85.32 at p = 0.000 and p = 0.000. The Bai and Perron (1998, 2003) procedure finds no break in the mean, a reading consistent with the parameter-instability inference of Andrews (1993) on the differenced object (Perron 1989).

This series is an unadjusted monthly aggregate, so the seasonal battery is appropriate and is run, with the HEGY seasonal-unit-root test of Hylleberg et al. (1990), the QS seasonal portmanteau, and the seasonal-dummy F cross-read with Canova and Hansen (1995) finding deterministic seasonality rather than seasonal unit roots (Beaulieu and Miron 1992; Ghysels and Osborn 2001).

## Frequently Asked Questions

### What does the central bank liquidity panel for Korea track?

The components of the domestic central bank balance sheet identity together with the open market operations that add or drain reserves, including repo sales and purchases and the stock of stabilisation securities, plus a net measure of what remains with the private system.

### What does the net open market operations series show?

It nets draining against supplying operations into a single figure, so one number settles whether a period supplied or absorbed on balance. The components are published alongside it.

### How does central bank liquidity differ from the monetary aggregates?

This group measures base liquidity supplied by the central bank; the aggregates measure money and near-money held by the public. The multiplier linking them varies with bank lending behaviour and depositor preferences, so the two track each other only loosely.