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It is generally well accepted that a central bank should adopt the most rigorous risk management practices in respect of all aspects of its reserves management processes. At the most general level, this is reflected in the need for the complete separation of functions between the Front, Middle and Back Offices, the Audit Department, the Accounting Department and the Risk Management Unit (Figure 1). Separation of these functions is designed to ensure that exposures are within established limits and to minimise the opportunities for fraudulent behaviour. While there is not a unique ‘blueprint' for this framework, a number of basic elements should be considered:
An important element of any risk management framework is that the management policies and procedures are clearly understood by all staff involved in the process. This is best achieved by documenting all aspects of the investment mandate as well as all operational controls in a single document. Specifically this documentation should include:
Procedures also need to be established for how changes can be made to the investment mandate such as a proposal for the introduction of a new instrument or a change in the composition of the benchmark. These procedures need to include which level of senior management is authorised to approve changes and which functional areas need to be consulted before changes can be implemented.
At a more operational level, there are a variety of possible risk management tools available to central banks. Explicit in the design of the foreign currency benchmark is a decision about the acceptable level of market, credit and currency risk that a central bank is prepared to accept in light of its investment objectives and investment universe. In addition to this, central banks may give their portfolio managers latitude to deviate from these benchmarks. This discretion can be expressed in many ways – as variations in duration, variations in portfolio composition or variations in currency shares. A challenge for central banks is to quantify these risks on a consistent basis and incorporate these measures in the limit processes.
At a very basic level, the likely return (dollars-at-risk) from portfolio manager exposures can be readily approximated from the duration of the actual and benchmark portfolios. As a general rule, if the duration of the actual portfolio is one year longer than the duration of the benchmark portfolio, this would represent a dollars-at-risk exposure equal to one per cent of the value of the portfolio for every 100 basis point change in yields. In this case it is relatively easy to nominate a trading limit based on a maximum acceptable dollars-at-risk exposure.
The attractiveness of a dollars-at-risk measure is its simplicity. Unfortunately, this also represents its biggest limitation as it fails to capture the effect of changes in the shape of the yield curve (it assumes that the yield curve move is parallel) and it fails to capture the unique price sensitivity of individual instruments (convexity). To some extent, this deficiency can be overcome by granulating the limit by, for example, specifying dollars-at-risk limits at a more disaggregated level such as by maturity band or even by instrument.
Another related deficiency of dollars-at-risk measures is that they are not necessarily additive across portfolios as they make no allowance for price volatilities and the correlation in price movements between securities and between portfolios. For example, although US and European yields often move in the same direction, the size of the moves will not necessarily be in the same magnitude. This means that in the event of a global rally in yields, the gains on a long US security position may not completely offset the loss on a short European security position. This widely recognised deficiency has, to some extent, been overcome by the increased reliance on Value at Risk (VaR) measures.4 Although VaR measures have a number of advantages (most notably that they enable exposures across a variety of instruments and portfolios to be aggregated into a single number), the implicit assumption about the normal distribution of asset returns and the use of historical price relationships mean that they are likely to be poor estimates of portfolio returns in the event of extreme market movements.
The VaR and dollars-at-risk measures tend to focus on more narrowly measuring the market risk of portfolio exposures. Neither measure is particularly good at quantifying the risk that an issuer of securities or a counterparty to a transaction will fail to meet their financial obligations at maturity or at settlement. While variations in the probability of default is implicit in the price of all securities and is therefore captured in the VaR and dollars-at-risk measures, there are many dimensions to measuring and managing credit risk that a central bank needs to consider:
Trading derivative instruments is generally perceived to be more risky than trading physical securities. This perception tends to be more a reflection of bad risk management practices in the past than a reflection of the products themselves. At the very basic level, a futures contract has essentially the same market risk characteristics as the underlying instrument and, in the case of exchange-traded derivatives, virtually all of the counterparty credit risk exposure is eliminated by the clearing house. In these simple cases, central banks should be relatively relaxed about using derivative products so long as the exposures are fully reflected in the balance sheet and they are not used to gear the portfolio beyond the value of the portfolio. On the other hand, derivatives which have non-linear payment characteristics (such as options) require specialist knowledge and complex risk management systems that are likely to exceed the resources available to many central banks.
Aside from the direct financial risks associated with managing a portfolio of assets, central banks also face a significant range of procedural or operational issues that pose a significant reputational exposure to the institution. Examples of these operational risks include:
Operational risks are fairly easy to identify and can often be eliminated through system enhancements and well documented procedures. Identifying and, more importantly, eliminating these risks isn't costless, however. Introducing new trading and settlement systems, for example, may involve a significant commitment of staff that were previously involved in the reserves management process and may take several years to fully implement.
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Recent Challenges
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Performance Measurement
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