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A nancial services company has collected data concerning automobile applications and loans, as well other information such as their client s credit performance. Over the years, the company has processed many loan applications, and has recorded those where they had to shut down the account as a result of nonpayment. The data shows that 32% of all customers defaulted on their car loans. The company would like to develop a prediction model for screening loan candidates in order to understand those individuals not likely to default on any loan. Even a small increase in the screening of candidates would be bene cial.

he value-added decomposition approach to performance attribution presented in the previous chapter was originally developed to analyze the sources of return to pension plans investing in multiple asset classes, but has been proven useful in the analysis of relative return in many other investment situations. The allocation, selection, and interaction effects best relate to actual management decisions when the investment process proceeds along the lines of a top-down segment allocation and bottom-up selection of individual securities within segments, where the segments represent the appropriate asset allocation factors for the strategy. The information value of these component effects diminishes when there are factors important to the management of the portfolio that are not captured in the analysis. For example, currency exposures are an important consideration in the management of portfolios holding foreign securities. But the general framework has proved so useful for performance analysis that practitioners have extended the basic methodology to capture additional factors important in the management of funds investing in particular asset classes. In this section we consider the extension of value-added decomposition techniques to the analysis of funds investing in foreign and xed income securities. The manner in which we extend the methodology is similar in both cases, so the approach informs the route to follow for further extending the analysis to the needs of other situations.

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// compute Hessian for (i = 1; i < T; i++) { h.push_back(theta(1) + theta(2)*e2[i-1] + theta(3)*h[i-1]); ColumnVector CV = getVolDerives(i,theta(3)); Matrix CV2 = getVolSecondDerives(i,theta(3)); H = H + (e2[i]/h[i] - 1)*(0.5*((-1/(h[i]*h[i]))*(CV*CV.t()) + (1/h[i])*(CV2))) -(0.5/(h[i]*h[i]))*(CV*CV.t())*(e2[i]/h[i]); } return H; } /********************************************************************************** getLogDerives : returns the column vector of log derivatives [in]: none [out]: ColumnVector LLD: matrix column with log derivatives with respect to parameters **********************************************************************************/ ColumnVector StatModel::getLogDerives() { return LLD; }

Support communication facilities may be required to facilitate the effective operation of the SNG terminal. These facilities may include point-to-point microwave, telephone communication systems, two-way simplex/duplex radio, wireless microphones and mobile satellite terminals for voice and data.

In Excel 97, Microsoft introduced a feature known as AutoCalculate. This feature displays, in the status bar, information about the selected range. Normally, the status bar displays the sum of the values in the selected range. You can, however, right-click the AutoCalculate display to bring up a menu with some other options.

The examples at the beginning of the chapter used cell or range references for arguments. Excel proves quite flexible when it comes to function arguments, however. The following sections demonstrate additional argument types for functions.

Table 11.4 Commonly Used Find Qualifiers DESCRIPTION Marks the find operation to be case sensitive. Specifies that the result of the find operation should be sorted date-wise in an ascending order. Specifies that the result of the find operation should be sorted name-wise in an ascending order. (continues)

at the two frequencies: 2fi fj, with i=1, j=2 or i=2, j=1 where:

2,000

1 3 y1 p1T p1T 1 y 2 p3T p2T 1 1 1 A= 1 3T 1T yC pC pC 2 3 2 yC pCT pCT

Figure 12.11: Interface of the username.html file. The following is the code for result.asp file:

After you have the video content you want to make into a bootable movie, you need to create an ISO image to later burn to a CD or DVD. You do that with the mkmovixiso command. Here s an example:

=PV(8%,1000,25000,0,0)

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