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értekezés - Budapesti Corvinus Egyetem

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12. függelék - A kockázati hozzájárulás számszerűsítése MC szimulációval<br />

I propose a simple technique that can be used along the traditional way of capital allocation<br />

and performance measurement processes, but which adds to it by taking into account a<br />

project’s or business unit’s contribution to the total risk of the portfolio. This method<br />

assumes that the building blocks are linearly additive with respect to the output variable<br />

modeled, which is a realistic assumption as long as business units’ or projects’ cash-flows<br />

or earnings contributions are concerned. But the building blocks do not need to be<br />

unanimously normally distributed. Hence, the contribution of the parts to the various<br />

segments of the total distribution can continuously vary. Figure [12] compares a portfolio<br />

distribution with normally-distributed and one with heterogeneously distributed building<br />

blocks.<br />

[Figure 12]<br />

As to be seen, if all building blocks are normally distributed in the portfolio, the risk<br />

contribution of each part will stay constant in the entire range of the aggregate distribution.<br />

The contribution factors will be the same as if we used the covariance matrix of the<br />

building blocks and inferred the incremental VaR of each element. However, having<br />

asymmetrically (e.g. lognormally) distributed parts in the portfolio results in a varying rate<br />

of risk contribution of the parts (the lognormal parts adding to the output variable’s<br />

volatility more intensively in the upside than in the downside region). Hence, we can track<br />

the impact of skewedness on the risk contributions of the analyzed business units, projects,<br />

and punish them for the costs of the downside (‘red-zone’) accordingly.<br />

Figure 14 demonstrates a firm’s EBITDA distribution on a given time horizon (e.g. 12<br />

months). Provided that this firm faces higher external funding costs (due to increased<br />

asymmetric information, loss in reputation, waiver costs of breaching covenant, increased<br />

probability of financial distress, etc.) if its Net Debt / EBITDA ratio exceeds a prespecified<br />

level, then the firm would need to incorporate these deadweight costs in the<br />

evaluation of projects or business units to punish their expected performance according to<br />

their contribution to such deadweight costs. Since the EBITDA evolution can be<br />

functioned into the Net Debt / EBITDA ratio, we can link the outcome of EBITDA to the<br />

size of extra costs endured.<br />

186

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