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Leaving a lot to chance
- Sept 25, 2002

Most banks don't provide for market risk and are unable to scope of risk accurately across all its dimension

RE-REGULATION, consolidation and increased competition have brought banks face to face with new challenges - risk management, in particular.
 
Global markets have become increasingly volatile and interrelated. More and more complex instruments, leveraged for increasing profits substantially, are being traded. The implications of this exercise are yet to be fully understood, Lending has become commoditised. And, as usual, NPAs presistently dot the balance sheets.

The critical question therefore is: Have all dimensions or risk-that impact both short-term and long-term goals of liquidity, profitability and solvency been taken into account? This is pertinent especially since risk is at the core of achieving profits.

To appreciate the magnitude of the problem, let us focus on banks. Today, banks are faced with both credit and market risk. While most banks, following RBI guidelines, have based their capital adequacy ratio (CAR) on credit risk, only one in 25 banks have accounted for market risks. What does this mean?

CAR gives a measure of the risk cover  that a bank must have in terms of amount of capital, in the event of defaulting creditors/risky investments, to remain solvent. However, if the entire extent of risk exposure by the bank does not form the basis of measurement of CAR, that becomes the biggest risk of all.

Credit risk is one aspect of risk taken by the banks - the other critical component being market risk. Market risk arises from the movement in market price and deal with interest rate risk, debt/equity risk, foreign exchange risk and commodities risk. It currently contributes to more than 50% of banks profit margins that is not being covered. This is a precarious situation.

Worse, the vulnerability of the case does not end here. Event if all dimensions or risk are considered to calculate CAR, there is a distinct lack of IT solutions that can measure risk accurately and dynamically, across all possible parameters/scenarios, to arrive at a sound risk management strategy. At this stage, therefore, though there is an appreciation of the upside of risk vis-a-vis returns, there is no way to measure the implications of downside risk.

So the problem is two-fold: one is of banks not taking into account the market risks while calculating their CAR and second is of not being able to measure risk accurately across all its dimensions.

Let us consider the first problem. To tackle this issue, as per RBI guidelines, in keeping with Basel II recommendations, by March '03, banks have to incorporate the underlying market risk measures, alone with credit risk, to arrive at the CAR. However, this is easier said than done as it leads into another challenge.

To elaborate, conventional IT systems are not capable of measuring all dimensions or risk. To begin with, the data is not accurate.

This is plainly reflected in the crucial risk: return ratios arrived at by key decision makers - typically based on past experience, a sense of whether the current risk position is aggressive or moderate and static reports from disparate data sources. Secondly, these ratios reflects only the current position of investments, validated by marking to market the existing portfolios, to arrive at the current market exposure. It does not reflect future market risks.

Thus, traditional IT systems are neither capable of providing current accurate data nor can they take into account the future volatility in markets like change in interest rates or currency market movements. Such external factors are the essential underlying risk factors with far-reaching impact on investment portfolios and capital adequacy ratios there of. Consequently, these external factor have to be identified to compute their impact on profit via 'what-if' simulation analysis and arrive at single measure of risk. In other words, investment portfolios have to be marked to the future to derive current accurate risk exposure.

This is a critical point that can't be emphasised enough. When the entire extent of underlying risk factors, marked to the future, is measured. it gives the banks the vital option of taking proactive decisions on rebalancing portfolios and ensuring optimal risk: return measures, Further, it provides for the true picture of risk of current exposures at hand to arrive at an accurate measure of CAR.

This is what Value at Risk (VAR) is all about. VAR is but one measure of Mark to Future analysis, others being, what  - if market simulations, sensitivity test to exposures. Simply put, a one day VAR of $10m using a probability of 5% means that there is a 5% chance that the portfolio could lose more than $10m in the next trading day. This concept allows banks to arrive at on accurate CAR, besides giving them the power to make informed decisions on existing investment portfolios. It thus follows that for these new risk measures to be effective, they have to be integrated into the decision making process.

This calls for enterprise wide risk solutions that provide for accurate data, measure underlying credit and market  risk factors, answer multi - dimension queries, modifying it to create hypothetical situations and if necessary quickly adapt to match changes in the organisation or market. For this, managers need to radically shift their mindset from returns per se to measuring risk and finally to risk adjusted returns. This is the key difference between traditional tools and the enterprise - wide risk solutions that measure risk for future solvency.

To conclude, in a scenario where the markets are volatile, where majority of profits are derived from trade, topped by the spate of accounting scandals, one can no longer afford to avoid measuring risk and managing its crossing the chasm will involve systemic changes coupled with the characteristic uncertainty and pain that it brings - but it's a risk worth taking. After all, as Warren Buffet said: " To finish first, you have to first finish".
 

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Email Rajiv.Kumar@sas.com
   

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