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From pricing to rating structured credit products and vice-versa

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par Quentin Lintzer
Université Pierre et Marie Curie - Paris VI - Master 2 2007
  

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3.3.3 Other key structural features

CDS tenor choice

Another crucial structural feature of the DPPI is the tenor investment rule that allows to adapt CDS tenors depending on market spread levels. Let us call e(S(t), t) the potential tenor of any CDS investment done on date t, where e is defined below:

e : [0, 1] x [0, T] -? {3, 5, 7, 10} (x,t) 7-? e(x,t)
Removal of downgraded assets

In order to manage the default risk inherent in owning leveraged long CDS positions, we shall apply a specific asset-removal rule based on rating observations: as soon as an obligor's rating has been staying below a given threshold, say Ba2, for more than 3 straight months, then all CDS long positions on that obligor must be removed from the portfolio and replaced by equivalent positions on another obligor whose rating is investment grade, i.e above or equal to Baa3.

Early cash-in events

The DPPI structure shares with earlier CPPI products an early cash-in feature that allows the deal to be unwound before the scheduled maturity date if the deal's NPV is high enough to cover all future liabilities, i.e future coupons, fees, and principal payments, until the scheduled maturity date (10 years). However, our DPPI incorporates two extra early cash-in triggers based on shorter maturity dates, namely 5 years and 7 years. Those three barrier conditions allow the structure to avoid adverse scenarios where the NPV would plummet and break the bond floor, hence cash-out, after reaching its TRV level.

Subordinated note

We add to the DPPI structure an sl := 2% thick subordinated note, the payoff of which is similar to that of a CSO equity tranche. The relatively high yield served on that tranche, 250 bps, compensates the subordinated noteholder for bearing the first loss risk of the structure.

3.4 A study of the DPPI's sensitivities

Given Moody's modelling and calibrating assumptions on risk factors, we wish to study the DPPI's behaviour as a function of its main structural features, such as the spread over EURIBOR served to the senior investor, the CDS tenor investment rule or the parametres of the Target Notional Exposure function.

Unless otherwise stated, we base our analysis on the portfolio described in figure (12), on the DPPI optimized parametres listed in figure (11) on the set of Moody's parametres listed in figures (8), (9) and (10). All numerical results are based on C++ code developped by both Bear Stearns and Moody's. As a starting point we plot hereafter the DPPI's simulated discounted loss and lock-in times distributions based on 30,000 draws..

Figure 3.3: DPPI base-case loss distribution conditional on the structure not cashing in

Figure 3.4: Distribution of cash-in times

The Moody's Metric of the base case scenario is 2.697, which is equivalent to an Aa2 rating.

3.4.1 Tailor-made structural features to achieve target rating

Senior rated coupon level

The level of the senior rated coupon is obviously a key parametre in achieving the target rating. The graph below plots the estimated expected loss and Moodys Metric as a function of S, the senior rated premium paid above EURIBOR rate and measured in basis points. One shall point out the jumps in the graph, stemming from the various triggers introduced in the pay-off loss function L. The rather linear relationship outside jumps is also fairly straightforward: between two jumps, the subset of cash-out scenarios is fixed. However, given that the bulk of the loss is explained by scenarios that cash-out at maturity without paying any single coupon, one would find that the average loss on those scenarios is proportional to the senior coupon level, as is the price of a bond paying EURIBOR plus the senior coupon.

Figure 3.5: Estimated expected loss as a function of S. CDS tenor choices

Initial and reinvestment CDS tenors have a significant impact on the shape of the loss distribution and eventually on its expected level. We now assume that e(.,.) is constant and equal to 0. We then plot the expected loss level as a function of 0 E {3, 4, .., 10}. The reverse-bell shape of the diagram accounts for the fact that:

· for short tenors, the lower MtM volatility of the DPPI does not fully compensate for the loss in contracted CDS spread premia due to the upward sloping shape of the term structure;

· for long tenors, the gain in contracted CDS spread premia does not fully offset the impact of a higher MtM volatility.

Figure 3.6: Estimated expected loss as a function of è (2000 simulations per coupon level)

Target Notional Exposure parametrization

In order to get the intuition on how the expected loss behaves with respect to the
Target Notional Exposure function TNE(.), one shall slightly simplify the latter and
assume that opportunity leverage and target multiplier functions, OL(.) and TM(.),

are constant and equal to respectively OL and TM. We then plot TNE as a function

of both parametres OL and TM. S1 stands for TM = 20 and S9 for TM = 40 with Si+1 - Si constant.

Figure 3.7: Loss and Moody's Metric as a function of OL and TM, 1000 simulations per couple of parametres

One shall point out from the graphs that even with the best combination of fixed

Opportunity Leverage OL and Target Multiplier TM parametres, the structure's
Moody's Metric remains significantly higher than 2.697 obtained with dynamic OL

and TM functions. Also, we clearly see that there is a tradeoff between OL and TM
that allows the structure to improve its rating: too high values for both parametres
lead to a sub-optimal leverage function, reflecting the fact the extra MtM volatility

induced by a higher leverage has a negative fat tail effect on the loss distribution L(M).

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