15.11.2014 Views

Risk Management and Value Creation in ... - Arabictrader.com

Risk Management and Value Creation in ... - Arabictrader.com

Risk Management and Value Creation in ... - Arabictrader.com

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Capital Structure <strong>in</strong> Banks 207<br />

volatility of a bank’s residual bus<strong>in</strong>ess revenues <strong>and</strong> the (expected) value of<br />

the “fixed” 348 costs. 349<br />

Assum<strong>in</strong>g then that (residual bus<strong>in</strong>ess) revenues are normally distributed<br />

(as <strong>in</strong>dicated <strong>in</strong> Figure 5.10) <strong>and</strong> that we are able to estimate the expected<br />

value of “fixed” costs with reasonable confidence, we can determ<strong>in</strong>e<br />

the required amount of economic capital for bus<strong>in</strong>ess risk as follows: Similar<br />

to the above described approaches, we first determ<strong>in</strong>e the α-quantile of<br />

the revenue distribution that is consistent with the bank’s chosen solvency<br />

st<strong>and</strong>ard by calculat<strong>in</strong>g:<br />

Φ -1 (1 – α) ⋅ σ ⋅E(Revenues) (5.36)<br />

However, as also <strong>in</strong>dicated <strong>in</strong> Figure 5.10, we do not need to hold<br />

econom-ic capital for this full amount. S<strong>in</strong>ce the bank is only exposed to<br />

(unexpected) losses, when the costs cannot be reduced below the identified<br />

threshold level (with<strong>in</strong> a reasonably short period of time), we can subtract<br />

the difference between the expected revenues <strong>and</strong> this threshold level from<br />

the capital requirement, so that:<br />

Economic Capital for Bus<strong>in</strong>ess <strong>Risk</strong><br />

= Φ -1 (1 – α) ⋅ σ ⋅E(Revenues) –E(“Fixed” Costs) (5.37)<br />

Despite the simplicity of this approach, it is heavily dependent on a sufficiently<br />

long time series of historical account<strong>in</strong>g data. Directly analyz<strong>in</strong>g<br />

this data to estimate the bus<strong>in</strong>ess risk capital can be difficult due to the<br />

adjustments that must be made to correct data for market <strong>and</strong> credit risk.<br />

Additionally, the account<strong>in</strong>g data might be biased by the bank’s (current)<br />

balance sheet policy, mak<strong>in</strong>g it difficult to separate true bus<strong>in</strong>ess volatility<br />

from purely account<strong>in</strong>g-driven P&L volatility. Moreover, this approach<br />

assumes that historic trends will be cont<strong>in</strong>ued. This approach, therefore,<br />

only reflects the economic cycle <strong>and</strong> the changes <strong>in</strong> the <strong>com</strong>petitive environment<br />

<strong>in</strong>appropriately. To adjust for these caveats, the follow<strong>in</strong>g approach<br />

might offer solutions.<br />

Monte Carlo Simulation Approach Even though this approach also relies<br />

heavily on historical observations 350 to simulate potential future revenues<br />

348 As already discussed, the amount of economic capital will be sensitive to the level<br />

to which costs can be managed <strong>in</strong> response to revenue changes. Costs that are <strong>in</strong>dependent<br />

of revenues should be considered as fixed, while costs that are directly<br />

l<strong>in</strong>ked to the revenue volume should be considered variable.<br />

349 S<strong>in</strong>ce these “fixed” costs will vary over time, we need to determ<strong>in</strong>e the expected<br />

value for the period end<strong>in</strong>g at time H.<br />

350 Time series are also obta<strong>in</strong>ed over at least one bus<strong>in</strong>ess cycle.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!