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So the question becomes: Can the loss distributions for loans and other credit assets be characterized as normal distributions And, as long as we are here, we might as well look at the distribution of equity returns Exhibit 25 examines these questions Panel A of Exhibit 25 contains a normal distribution and the histogram that results from actual daily price change data for IBM It turns out that the daily price changes for IBM are not normally distributed: There is more probability at the mean than would be the case for a normal distribution; and there are more observations in the tails of the histogram than would be predicted by a normal distribution (The actual distribution has fat tails ) Indeed, if you look at equities, their returns are not, in general, normally distributed The returns for most equities don t pass the test of being normally distributed.

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But wait a minute We said that a critical assumption behind modern portfolio theory is that returns are normally distributed; and now we have said that the returns to equities are not normally distributed That seems to be a problem But in the case of equity portfolios, we simply ignore the deviation from normality and go on In just a moment, we examine why this is okay for equities (but not for credit assets) Panel B of Exhibit 25 contains a stylized loss distribution for an originate-and-hold portfolio of loans Clearly, the losses are not normally distributed Can we just ignore the deviation from normality as we do for equity portfolios Unfortunately, we cannot and the reason is that credit portfolio managers are concerned with a different part of the distribution than are the equity managers Managers of equity portfolios are looking at areas around the mean.

where ``XYZ'' and ``UVW '' stand for any two Cartesian coordinate systems in threedimensional space. The components of a vector in either coordinate system can be expressed in terms of the vector components along unit vectors parallel to the respective coordinate axes. For example, if one set of coordinate axes is labeled X, Y and Z, and the other set of coordinate axes are labeled U, V , and W, then the same vector v can be expressed in either coordinate frame as v v x 1x v y 1y v z 1z v u 1u v v 1v v w 1w ; where the unit vectors 1x , 1y , and 1z are along the XYZ axes; the scalars vx , vy , and vz are the respective components of v along the XYZ axes; the unit vectors 1u , 1v , and 1w are along the UVW axes; and the scalars vu , vv , and vw are the respective components of v along the UVW axes. The respective components can also be represented in terms of dot products of v with the various unit vectors, v x 1T v v u 1T 1u v v 1T 1v v w 1T 1w ; x x x x v y 1T v v u 1T 1u v v 1T 1v v w 1T 1w ; y y y y v z 1T v v u 1T 1u v v 1T 1v v w 1T 1w ; z z z z C:6 C:7 C:8 C:4 C:5

And it turns out that the errors you make by ignoring the deviations from normality are not very large In contrast, managers of credit portfolios focus on areas in the tail of the distribution And out in the tail, very small errors in the speci cation of the distribution will have a very large impact..

Using that same basic script, you can use any of the convert command lines shown earlier, or make up your own to suit your needs. You might be able to convert a whole directory of images in a few minutes that would have taken you hours of clicking in the GUI.

The EntityContext interface, a subinterface of EJBContext, provides an instance with access to the containerprovided runtime context of an entity enterprise bean instance. The container passes the EntityContext interface to an entity enterprise bean instance after the instance has been created. The EntityContext of an entity bean stays associated with the bean for the bean s entire life. Table B-10 lists the methods available from the EntityBean interface.

Grid software exploits multiple resource types, while meeting defining requirements for each resource type. Requirements for the network resource were analyzed in the Sections 3.2.1 to 3.2.12. The breadth and extensibility of multiple heterogeneous resource types motivate the creation of the multitiered architecture shown in Figure 3.3. The first tier contributes a virtualization layer. The virtualization function is specific to each resource type and wraps around each resource instantiation given a resource type. For ease of programming, the ensuing logical representation for a resource is typically first supported by companion off-the-shelf software constructs. The upper tiers