About us. Download link sent. Category Investing. Understanding Asset And Liability Management Asset and liability management is a process used by companies to help address any risks resulting from a mismatch of liabilities and assets. These discrepancies can occur due to changes to the economic landscape, such as different interest rates or liquidity requirements. A complete ALM framework basically focusses on long-term stability and profitability. They do so by managing credit quality, liquidity requirements, and creating enough operating capital.
It helps to ensure that assets are invested most optimally and liabilities are moderated over the long term. The behavior of these segments is hard to predict, and the regression with regularization techniques used for other segments do not apply, so a modified approach to their projections within dynamic ALM is required. Operational deposits have some interesting characteristics. They are stable and not sensitive to interest-rate fluctuations. Bank clients need these deposits to pay their regular scheduled expenses, and thus cannot reallocate these funds to higher-yielding instruments.
Operational deposits are also important for HQLA estimation, and liquidity regulation defines very well what operational accounts might look like.
So, the actual level of operational deposit within an operational account is not observable. To qualify for stable funding, banks therefore have to separate excess cash from the actual level of operational deposits.
These two sets can be found through their behavioral patterns. The latter type makes frequent payments and has a low deposit-to-payment ratio, which means there is no excess cash in these accounts. Logistic regression trained on these two sets can be applied to all other accounts. Such probability, multiplied by the total deposit amount in the account, gives the expected level of operational deposits.
Implementing a truly dynamic ALM process enables financial institutions to inform decision-making in both strategy and risk. List of Partners vendors. Well-managed assets and liabilities increase business profits. It also involves the economic value of equity. The process must ensure that assets are available to pay debts as they come due and that assets or earnings can be converted into cash.
A defined benefit pension plan provides a fixed, pre-established pension benefit for employees upon retirement, and the employer carries the risk that assets invested in the pension plan may not be sufficient to pay all benefits. Companies must forecast the dollar amount of assets available to pay benefits required by a defined benefit plan. The company must estimate a rate of return on the dollars invested in the pension plan and determine how much the firm must contribute each year before the first payments begin in 10 years.
A bank must pay interest on deposits and also charge a rate of interest on loans. To manage these two variables, bankers track the net interest margin or the difference between the interest paid on deposits and interest earned on loans. Since banks are subject to interest rate risk, or the risk that interest rates increase, clients demand higher interest rates on their deposits to keep assets at the bank.
The ratio is calculated as follows:. Tangible assets , such as equipment and machinery, are stated at their book value, which is the cost of the asset less accumulated depreciation. Intangible assets, such as patents, are subtracted from the formula because these assets are more difficult to value and sell.
Debts payable in less than 12 months are considered short-term debt, and those liabilities are also subtracted from the formula. The coverage ratio computes the assets available to pay debt obligations, although the liquidation value of some assets, such as real estate, may be difficult to calculate.
As a result, institutional net interest margins have dropped to record lows. Management and directors are expected to understand their institution's liquidity risk profiles relative to established limits, and to understand the potential impact of strategic and tactical decisions on liquidity.
ALM helps a financial institution estimate and plan for and meet liquidity demands over various periods without adversely affecting daily operations or financial performance. It projects how funding requirements change during routine times, as well as during times of stress. Many financial institutions identify, measure, and monitor liquidity risk through spreadsheets that compute existing balance-sheet liquidity positions, forward-looking source and use projections, and adverse scenario effects.
Dynamic ALM can help a financial institution decide where to put excess liquidity to work in a low-rate environment while still managing risk. It can help the bank or credit union make decisions about what rates are most advantageous for in its specific situation to offer on non-maturity deposit account products, rather than relying solely on what rates competitors are offering.
Interest rate risk, the risk most strongly associated with an ALM model, is generally associated with risk resulting from changes in interest rates. Four common interest rate risks among financial institutions:.
Regulators expect a financial institution's interest rate risk measurement tools and techniques to be sufficient to quantify its risk exposure. Due to varying levels of risk and risk profile complexity, these tools and techniques can differ widely from institution to institution.
As a result, some banks and credit unions run ALM models themselves, others outsource the process entirely, and some use a hybrid approach of using outside ALM experts to help run a model in-house. Many financial institutions assess the three major types of risk in siloes because of the way their data systems and models are constructed.
But this approach ignores the benefits of an integrated model. By utilizing the same assumptions across the financial institution, executives harness consistent data that pleases examiners and auditors and generates meaningful reports for managing capital and growth.
Banks and credit unions that actively manage their balance sheets using dynamic ALM will be able to achieve their desired growth and profitability while mitigating risks — even in the face of the unexpected.
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