Advances in Risk Management

(Michael S) #1
RICCARDO BRAMANTE AND GIAMPAOLO GABBI 237

12.4 Impact on portfolio optimization


This last section is dedicated to a portfolio optimization simulation for
the three equity markets considered. We optimize three different efficient
frontiers:

1 The first frontier is determined by optimizing the historical returns along
with volatilities and the correlation matrix (Table 12.10, panel A).
2 The second frontier is determined by optimizing the historical returns
and volatilities. The correlation has been changed with the maximum
negative jumps observed during the historical window, that is 1 January
2003 until 31 March 2005 (Table 12.10, panel B).
3 The third frontier is also determined by optimizing the historical returns
andvolatilities. Thecorrelationhasbeenchangedwiththemaximumpos-
itive jumps observed during the historical period (Table 12.10, panel C).

The outcomes are reported in Table 12.11. There are 100 optimized port-
folios, and have reported portfolion. The number 1 implies that it is the
less hazardous, and the number 75 avoids the concentration problem which
characterizes all the optimizationsàlaMarkowitz. Our results demonstrate
that by introducing correlation jumps, in both directions, we would obtain
portfolios with volatilities that in the left side (less risky) could have changed
in a range of 3.49 percent (20.09–16.6). In the right side (portfolio no. 75) the
range of volatility is 1.72 percent (23.67–21.95).

12.5 Conclusion


The possible occurrence of correlation jumps would considerably change the
profile of the investor. Our statistical results, presented in the third section,
demonstrate that not only correlations can change in the short run, but
also, in some cases, these events occur with volatility shocks. Correlation
breakdowns should be considered in order to evaluate:

(a) the impact for portfolios volatilities estimated by investors and their
private bankers;

(b) the decisions of portfolio managers; and


(c) the monitoring process of risk managers.

The answers offered by the study are:

1 there is a relation between exponential correlation changes and volatility
movements, even though it depends on the market where outcomes are
estimated;
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