Asset-Liability Management, or ALM, is the discipline through which banks manage the structure, risks, and profitability of their balance sheet. Every bank has an ALM function because banking is fundamentally a leveraged balance sheet business: unlike most companies, which operate with a relatively balanced mix of equity and liabilities, banks deliberately keep capital low and the funding side of the balance sheet relies heavily on deposits, wholesale funding, and other liabilities, which are used to generate income from loans, securities, and other assets.
A weak ALM strategy will create significant costs for banks: drag in returns, inefficient use of the balance sheet, poor pricing decisions, suboptimal capital allocation, and a balance sheet that may comply with banking regulation but fails to maximize profitability.
Under Basel III, banks are required to maintain minimum liquidity standards designed to ensure they can survive periods of market disruption and deposit or funding stress. These requirements were introduced as part of the post-2008 Global Financial Crisis reform agenda, when regulators recognized that capital strength alone was not enough if a bank could not meet its short-term obligations.
Basel III introduced two core liquidity ratios: the Liquidity Coverage Ratio (LCR) and the Net Stable Funding Ratio (NSFR). The LCR is a short-term liquidity metric designed to ensure that banks hold enough high-quality liquid assets to survive a 30-day stress scenario, while the NSFR is a longer-term structural funding metric designed to ensure that banks fund their assets and activities with a sufficiently stable funding profile over a one-year horizon.
The Liquidity Coverage Ratio measures whether a bank has enough High-Quality Liquid Assets (HQLA) to cover its expected net cash outflows over a 30-day stress period. HQLA generally includes assets that can be converted into cash quickly and reliably, even during periods of market stress — such as cash, central bank reserves, and certain high-quality government or marketable securities.
The purpose of the LCR is to promote short-term resilience by ensuring that a bank can withstand a severe but plausible liquidity shock without immediately relying on external funding markets.
The Net Stable Funding Ratio measures whether a bank's assets and off-balance-sheet exposures are funded with a sufficiently stable mix of capital and liabilities. Unlike the LCR, which focuses on short-term liquidity survival, the NSFR focuses on the structural stability of the balance sheet over a longer horizon — typically one year.
The ratio compares a bank's Available Stable Funding (ASF) — which comes from capital and liabilities considered reliable — against its Required Stable Funding (RSF) — which depends on the liquidity characteristics and maturity profile of the bank's assets and off-balance-sheet exposures.
On top of regulatory requirements such as the LCR and NSFR, banks also maintain internal liquidity stress testing frameworks. These internal models assess whether the bank has enough liquidity resources under stress conditions that may be more specific, severe, or institutionally relevant than standardised regulatory metrics.
Typically, banks begin with today's balance sheet and apply internally defined stress assumptions to estimate how deposits, wholesale funding, loan commitments, secured funding, derivatives, and other balance sheet items may behave during a financial crisis. These assumptions often include both idiosyncratic stress (a bank-specific confidence event) and market-wide stress (a broader liquidity crisis).
Through historical analysis, statistical models, regressions, behavioural assumptions, and expert judgment, banks estimate appropriate runoff rates and inflow assumptions for different categories of assets and liabilities. The objective is to understand what the balance sheet would look like if a severe liquidity event occurred today.
This process allows banks to determine whether they have a liquidity surplus or deficit under stress — performed across both short-term horizons (typically 30 days) and longer-term horizons, depending on the institution's liquidity risk appetite and internal governance framework.
Daniel Morales Chavez is a Treasury and Asset-Liability Management professional with around twelve years of experience across global banking and Fortune 500 institutions, spanning interest rate risk in the banking book, liquidity risk, balance sheet management, behavioural deposit modelling, and ALCO governance.
He is a CFA Charterholder and a member of the Treasury Management Association, with deep expertise in regulatory frameworks including Basel III, the HKMA Supervisory Policy Manual, and the broader global IRRBB and liquidity standards.
The ALM Compass is his independent initiative to build the open knowledge hub he wished existed when he entered the field — rigorous, accessible, and free for practitioners everywhere.
CET1 climbed to 19.1% — roughly 450bps above the Group target. Two forces drove it: RWAs fell HK$209bn (−6.6%) on Basel III reform, while equity grew.
The advances-to-deposits ratio fell to 51.3%. Deposits grew +8.1% while loans grew only +4.3% — the gap is widening.
That leaves an estimated HK$3.6tn sub-deployed — funding raised but not lent out, sitting in lower-yielding assets.
From January 2025, the Basel III output floor began phasing in. HSBC HK runs advanced IRB for the majority of its credit risk — exactly the portfolios most exposed to floor-driven RWA inflation.
RWA inflation accelerates late in the phase-in period, making asset-mix steering a capital efficiency priority over the coming years.
RoTE fell to 16.9% from 18.2%. Two drags explain most of it:
Strip out the one-off and the underlying franchise remains highly profitable — but the growing capital base is the structural question.
Loans grew a striking +27% in one year. The liquidity ratios show the cost: LMR halved from 77% to 61%, and CFR collapsed from 255% to 135%.
A new $0.85bn intercompany deposit with maturity beyond 12 months appeared — "deposits to other MS Group undertakings."
The likely driver: shoring up the CFR (Core Funding Ratio) as loan growth consumes stable funding. Long-dated intercompany funding is a classic lever to defend a structural funding ratio.
CET1 stands at 44% — roughly $1.2bn of excess capital — with no dividends paid.
The bank holds roughly $6bn of UHNW deposits, of which ~$2.8bn (45%) are CASA — current and savings accounts.
If NMD models follow the HKMA IR-1 prescribed treatment with no behavioural deviation, CASA may default to overnight. For sticky UHNW relationships, that could be too conservative — understating the true behavioural duration and the EVS position.
The revenue story is a clear rotation: interest income fell HK$1.2bn (−21%) as rates moved, while fees rose HK$1.7bn (+17%).
The HK branch sits within JPM's global Asset & Wealth Management division (FY2025):
For a fee-driven private bank, the treasury and FP&A focus shifts away from NIM toward:
Under Basel III, banks must hold minimum liquidity to survive market disruption and funding stress. Capital strength alone is not enough — a solvent bank can still fail if it cannot meet short-term obligations.
Two regulatory ratios anchor the framework:
Regulators expect banks to remain above these thresholds at all times, with management buffers on top. In Hong Kong, the HKMA sets local implementation through the Banking (Liquidity) Rules and SPM module LM-2.
For internal frameworks, the bank’s own ILAAP (Internal Liquidity Adequacy Assessment Process) documents assumptions, runoff rates, and survival horizons.
A bank holds USD 16bn HQLA (cash, reserves, govt bonds). Under a 30-day stress it projects:
NSFR and LCR levers often align — lengthening funding helps both — but not always. Always model the joint effect.
Capital absorbs losses and protects depositors and creditors. This training covers CET1, RWA mechanics, the Basel output floor, and the levers to optimise capital efficiency.
CET1, Tier 1, and Total Capital minimums; buffers (capital conservation, countercyclical, G-SIB).
Basel III framework (BCBS189), HKMA Banking (Capital) Rules, SPM CA modules.
Retained earnings, RWA optimisation, intangible reclassification, DTA management.
Interest Rate Risk in the Banking Book measures how rate movements affect both economic value (EVE) and earnings (NII). This training covers the EVS outlier test and hedging levers.
The Basel IRRBB standard (2016) and the supervisory outlier test on EVE under six prescribed rate shocks.
BCBS d368, HKMA SPM IR-1, EBA IRRBB Guidelines, PRA Pillar 2 methodology.
See the interactive EVS Calculator tool for a live worked example.
Duration matching, receive-fixed swaps, repricing the asset book, NMD behavioural assumptions.