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Just as rating agencies rate the creditworthiness of companies, rating agencies often rate the creditworthiness of the products issued by those companies. The simple reason for this is because how a product is constructed most certainly has an influence on its overall credit risk. Product construction involves the mechanics of the underlying security ( 1) and the cash flows associated with it ( 2). To give an example involving the former, consider this case of bonds in the context of a spot profile. Rating agencies often split the rating they assign to a particular issuer s short-term bonds and long-term bonds. When a split maturity rating is given, usually the short-term rating is higher than the long-term rating. A rationale for this might be the rating agency s view that shorter-term fundamentals look more favorable than longer-term fundamentals. For example, there may be the case that there is sufficient cash on hand to keep the company in good standing for the next one to two years, but there is a question as to whether sales forecasts will be strong enough to generate necessary cash beyond two years. Accordingly, short-term borrowings may be rated something like double A while longer-term borrowing might be rated single A. In sum, the stretched-out period of time associated with the company s longer-dated debt is deemed to involve a higher credit risk relative to its shorter-dated debt. Now consider an example of bonds in the context of a spot versus forward profile. As 2 showed, an important variable distinguishing a spot and a forward is the length of time that passes from the date of trade

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the gure are per unit length of the interconnection. Capacitive couplings of the line with its rst and second neighbors are also shown in the gure. The series resistance and inductance elements for the neighboring interconnections will not affect the propagation characteristics along the interconnection in question; therefore, these are not included in the model. The symbols used in the equivalent circuit of Fig. 3.2.1 are de ned as follows: R resistance of interconnection line L inductance of interconnection line Ci self-capacitance (i.e., capacitance between conductor and ground plane) of interconnection line Cil1 mutual capacitance between interconnection and its rst neighbor on its left Cir1 mutual capacitance between interconnection and its rst neighbor on its right Cil2 mutual capacitance between interconnection and its second neighbor on its left Cir2 mutual capacitance between interconnection and its second neighbor on its right Cl1 self-capacitance of rst neighbor on left of interconnection Cl2 self-capacitance of second neighbor on left of interconnection Cr1 self-capacitance of rst neighbor on right of interconnection Cr2 self-capacitance of second neighbor on right of interconnection As far as the propagation along the interconnection is concerned, the effect of its coupling with its rst right neighbor is to connect an impedance Z1 in parallel with the capacitance Ci , where Z1 Cir1 Cr1 sCr1 Cir1 3:2:1

The Recovery of Causal Polytrees from Statistical Data Proc 3rd Workshop on Uncertainty in Artificial Intelligence (Seattle, WA, USA), 222 228 USA 1987 Reprinted in: [Kanal et al 1989], 175 182 [Reichenbach 1944] H Reichenbach Philosophic Foundations of Quantum Mechanics University of California Press, Berkeley, CA, USA 1944 Reprinted by Dover Publications, New York, NY, USA 1998 [Reichenbach 1947] H Reichenbach Elements of Symbolic Logic Macmillan, New York, NY, USA 1947 [Reichenbach 1956] H Reichenbach The Direction of Time University of California Press, Berkeley, CA, USA 1956 [Reusch and Temme 2001] B Reusch and K-H Temme, eds Computational Intelligence in Theory and Practice Series: Advances in Soft Computing Physica-Verlag, Heidelberg, Germany 2001 [Rissanen 1983] J Rissanen A Universal Prior for Integers and Estimation by Minimum Description Length Annals of Statistics 11:416 431 Institute of Mathematical Statistics, Hayward, CA, USA 1983 [Rissanen 1987] J Rissanen Stochastic Complexity.

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