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Ranking Risk Factors

One of the typical tasks when constructing stress-test scenario is risk factor selection. Obviously, each portfolio has trade-specific factors which directly influence present value (PV) and potential future exposure (PFE) of positions and, thus, overall risk exposure and performance of the portfolio. For example, credit default spreads are needed to price Credit Default Swaps.

In most cases, however, there are global macroeconomic factors (GDP, interest rates, oil price etc.) and market-specific time series (such as market indices and key market drivers), which have indirect influence on trade-specific factors and, thus, portfolio value. This relationship can be measured ether by correlation, if relationship has no lag, or by autocorrelation, in case of lagged effect.

Effective stress-test scenario, however, cannot include all the numerous factors having acceptable level of correlation.
So, this post describes how to select risk factors for a stress test, using the ranking based on delta equivalents.
Each risk factor (either trade-specific or market one) is assigned a rank. The higher rank is, the higher influence the factor has on the portfolio price. This algorithm also takes into account the consideration that a low-correlated market factor accompanied by high volatility may have more intense effect than highly correlated factors.

Notations:

Latex formula – trade-specific factor
Latex formula – market-specific factor
Latex formula – delta equivalent of i-th risk factor
Latex formula – standard deviation of i-th risk factor
Latex formula – correlation between risk factors i and j
Latex formula – last price/level of factor i
Latex formula – weight of all trades n , which are subject to trade-specific factor i , in total amount of portfolio target metrics (total PV, total PFE or total UPV).

Algorithm

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    1. Select Portfolio.

    2. Rank trade-specific factors Latex formula, where n=1,..,N are all deals which have trade-specific factor Latex formula.

    3. Rank market factors Latex formula , over each Latex formula.

    4. Construct the list of ALL factors ( Latex formula and Latex formula ) and sort them by rank.

    5. Select TOP 15 market factors.

    6. Compute shock statistics, based on statistics from database.

    7. Compute shocks (for predictive stress-test) :

      Latex formula for every i,j.

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