Bank Management Strategies: Liquidity, Interest Rate, Credit, and Market Risk
Book: Financial Markets and Institutions, 11th Edition Author: Jeff Madura Publisher: Cengage Learning, 2015 ISBN: 978-1-133-94788-2
Chapter 19 is where the rubber meets the road. You know what banks are (Chapter 17) and how they are regulated (Chapter 18). Now the question is: how do bank managers actually run these things day to day? The answer involves juggling several types of risk at once while trying to maximize shareholder value.
The Goal and Governance
The ultimate goal is to maximize the bank’s stock price. That means making enough profit to keep shareholders happy without blowing up the bank.
Compensation programs try to align manager incentives with shareholder interests. Stock options are common. But they create their own problems. Managers with stock options might chase short-term profits and take excessive risk, especially if they think the government will bail them out when things go wrong. That is exactly what happened before the 2008 crisis.
A bank’s board of directors is supposed to provide oversight. Bank boards tend to be larger than those at other companies, with more outside (non-employee) directors. After the Sarbanes-Oxley Act, directors are held more accountable because they have to document their assessments of key management decisions.
Beyond the board, shareholders can push for changes through proxy contests. And the market for corporate control acts as a backstop. A poorly managed bank with a low stock price becomes an acquisition target. That threat keeps managers on their toes.
Managing Liquidity
Liquidity is about having enough cash to meet obligations. Banks can run into trouble when deposits go out faster than loans come back in.
On the liability side, banks have several options for quick cash. The federal funds market lets them borrow from other banks for a day or two. They can issue commercial paper. They can borrow from the Fed.
On the asset side, holding short-term Treasury securities provides a safety net. They are easy to sell. But they pay low returns. So there is a constant tension between liquidity and profitability. Banks want to hold just enough liquid assets to cover their needs and put the rest into higher-yielding loans.
Securitization helps with liquidity too. Banks can package mortgage loans or auto loans into securities and sell them to investors. This converts future cash flows into immediate cash. Collateralized loan obligations (CLOs) work the same way for commercial loans. Different classes of investors get different risk levels and returns. AAA-rated notes pay the least but have the most protection against defaults. BB-rated notes pay more but take the first hit when borrowers default.
The credit crisis showed that even AAA ratings are not guarantees. Many CLOs with top ratings experienced heavy defaults in 2008 because the ratings were based on optimistic assumptions about the economy.
Managing Interest Rate Risk
This is the big one. The performance of a bank depends heavily on the difference between what it earns on assets and what it pays on liabilities. This spread is called the net interest margin.
Net interest margin = (Interest revenues - Interest expenses) / Assets
For most banks, liabilities (deposits) are more rate-sensitive than assets (loans). That means when interest rates rise, the cost of deposits goes up faster than the income from loans, and the spread shrinks. When rates fall, the opposite happens and the spread widens.
Measuring the Risk
Gap analysis is the simplest method. Rate-sensitive assets minus rate-sensitive liabilities equals the gap. A negative gap means the bank is hurt by rising rates. A positive gap means the bank is hurt by falling rates. A gap ratio of 1.0 means rate-sensitive assets equal rate-sensitive liabilities.
The book gives a good example. Kansas City Bank has $400 million in rate-sensitive assets and $700 million in rate-sensitive liabilities. Its gap is negative $300 million. If rates rise, its net interest margin will shrink.
Gap analysis is easy but has limitations. Not all “rate-sensitive” assets are equally sensitive. A floating-rate loan that resets annually behaves differently from an MMDA that adjusts weekly. Two banks could have the same gap but very different actual exposures.
Duration analysis is more sophisticated. Duration measures how sensitive an asset’s or liability’s value is to interest rate changes. A 10-year zero-coupon bond has higher duration (more sensitivity) than a 10-year coupon bond. The duration gap compares the weighted average duration of assets to the weighted average duration of liabilities. A positive duration gap means the bank’s asset values are more sensitive to rate changes than its liabilities. For most banks, asset duration exceeds liability duration, so rising rates reduce the bank’s net worth.
Duration has limits too. Loans that can be prepaid early mess things up because you do not know when the cash flow will actually arrive. Prepayments tend to increase when rates drop, as borrowers refinance.
Regression analysis uses historical data to measure how the bank’s stock returns respond to interest rate changes. If the regression coefficient is negative and statistically significant, the bank’s value drops when rates rise. Most studies find this is the case for the banking industry as a whole.
Banks can combine regression analysis with Value-at-Risk (VaR) to estimate the maximum expected loss from rate movements. If the regression coefficient is -2.4 and the maximum expected rate increase (at 99% confidence) is 2%, then the maximum expected loss is 4.8%.
Reducing the Risk
Five main tools are available.
Maturity matching sounds obvious. Match each deposit’s maturity with an asset of the same maturity. In practice, it is nearly impossible because deposits are short-term and small while loans are longer-term and large.
Floating-rate loans make assets more rate-sensitive, which helps close a negative gap. But they shift interest rate risk to the borrower, and they do not eliminate risk if rates on deposits adjust more frequently than rates on loans.
Interest rate futures let banks lock in future prices for Treasury bonds and other securities. If the bank is worried about rising rates, it sells Treasury bond futures. When rates rise, the futures position gains value, offsetting the loss on the bank’s net interest margin.
Interest rate swaps let banks exchange fixed-rate payments for floating-rate payments (or vice versa). A bank with mostly fixed-rate loan income and floating-rate deposit costs can swap its fixed payments for floating ones. If rates rise, the floating payments received increase, helping to offset higher deposit costs.
The book walks through a detailed example involving Denver Bank swapping fixed payments at 9% for LIBOR-based floating payments through Colorado Bank as intermediary. The intermediary charges about 0.1% of the notional amount.
Interest rate caps set a ceiling on the rate a bank has to pay. They work like insurance against rate spikes.
Managing Credit Risk
Credit risk is the possibility that borrowers will not repay their loans. This is where bank management gets personal. Somebody has to look at each borrower and decide whether to extend credit.
Banks manage credit risk in several ways. They carefully assess each loan applicant’s creditworthiness. They diversify loans across different borrowers, regions, and industries so that one downturn does not wipe out the portfolio. They set aside loan loss provisions based on expected defaults.
There is always a trade-off. Safer loans pay lower rates. Riskier loans pay more but default more often. Banks tend to increase risky lending during good times (when defaults are low and optimism is high) and pull back during recessions. This procyclical behavior actually makes crises worse because banks cut credit exactly when the economy needs it most.
Putting It All Together
The chapter ends with a comprehensive example analyzing a fictional bank called Atlanta Bank. Its balance sheet shows higher-than-average concentrations of floating-rate commercial loans and medium-rated corporate securities. Its liabilities lean toward medium-term CDs rather than short-term deposits.
The evaluation reveals that Atlanta Bank has higher credit risk than average (more risky loans and securities) but lower interest rate risk (better maturity matching and more floating-rate assets). In a strong economy, it outperforms peers. In a downturn, it gets hit harder.
The key formula connecting everything is:
ROE = ROA x Leverage measure
Where the leverage measure is assets divided by equity. Higher leverage magnifies returns on the way up but also magnifies losses on the way down. Banks with less capital have higher leverage. Regulators set minimum capital requirements precisely to limit how much leverage banks can use.
My Take
This chapter makes it clear why bank management is genuinely hard. You are balancing liquidity, interest rate risk, credit risk, and regulatory requirements simultaneously. Get one wrong and it can cascade into the others. A liquidity crisis can force you to sell assets at a loss. Interest rate moves can turn profitable loans into money losers. Credit losses can wipe out your capital buffer.
What I found most interesting is how interconnected the tools are. Using floating-rate loans reduces interest rate risk but increases credit risk (because borrowers might default if their payments jump). Securitization boosts liquidity but can reduce your incentive to carefully screen borrowers (since you are selling the loans anyway).
The best bank managers are the ones who understand these trade-offs and position the bank to survive regardless of what happens next. The worst ones are the ones who optimize for one scenario and get blindsided when reality goes a different direction.