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Small banks face many of the same Asset Liability Management (ALM) challenges as larger institutions but with significantly fewer resources. They operate with smaller teams, less diversified balance sheets, and tighter budgets, yet remain subject to many of the same regulatory expectations. The core challenge is structural. A smaller bank’s balance sheet is often concentrated in specific lending segments, customer groups, or geographic regions.

When banks discuss intraday liquidity, the conversation often focuses on payment monitoring, account balances, regulatory reporting requirements and real-time dashboards. These capabilities are important, but they can create the impression that intraday liquidity is a separate treasury discipline rather than part of a broader liquidity framework. The reality is that treasury teams are not managing one liquidity position for intraday purposes and another for liquidity risk, funding or forecasting.

Managing balance sheet risk has become more challenging for banks. Interest rates may no longer be at the extremes seen in recent years, but uncertainty remains. Funding costs can change quickly, customer behaviour continues to evolve, and regulatory expectations around IRRBB, liquidity risk and stress testing remain high. In this environment, banks need more than risk reports.

Mid-sized banks can run effective ALCO meetings on a budget by focusing on preparation quality over meeting length, using the right data rather than all available data, and leveraging purpose-built ALM software that consolidates reporting without requiring a large back-office team. The key is structure: a well-defined agenda, clear ownership of each data input, and a consistent meeting cadence that keeps the committee aligned without overwhelming staff.

Financial planning and financial forecasting are related but distinct processes. Financial planning sets the strategic direction, it defines targets, allocates resources, and establishes how an institution intends to achieve its goals. Financial forecasting predicts what is likely to happen based on current data and trends, whether or not those outcomes align with the plan. Together, they form the backbone of sound financial management in banking.

MORS Software continues to advance its sustainability programme in 2026, with a stronger focus on measurable actions, employee engagement and responsible everyday choices. Building on our WWF Green Office certification, our 2026 programme focuses on seven key areas: communications and engagement, energy and water, management, procurement, recycling and cleaning, travel, and food.

Capital allocation is central to bank financial planning because it determines how a bank distributes its finite pool of capital across business lines, assets, and activities to balance risk, return, and regulatory requirements. Without a disciplined allocation framework, banks cannot accurately price risk, sustain lending growth, or satisfy regulators. The sections below unpack the key questions that define how capital allocation shapes banking strategy in 2026.

Hedge accounting reduces earnings volatility in banking by aligning the timing of gains and losses on hedging instruments with the offsetting movements in the items being hedged. Without hedge accounting, derivatives used to manage interest rate or other financial risks are generally measured at fair value through profit or loss, while the hedged item may be measured on a different basis.

A growing regional bank should invest in dedicated ALM software when spreadsheet-based processes can no longer keep pace with the complexity of its balance sheet, the frequency of regulatory reporting, or the speed at which management needs reliable risk data. For most regional banks, that inflection point arrives well before the institution feels the full weight of the problem.

Modern bank treasury teams operate in an increasingly complex environment. Funding decisions, liquidity management, investment activities, risk monitoring and regulatory reporting all depend on accurate, timely and consistent data. Yet many treasury functions continue to rely on information spread across multiple systems, spreadsheets and reporting processes.