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, 120 Kelly, J, 398, 406, 407 Kelly, S, 433 Kerewsky, S D, 380 Kerr, M E, 83, 104 Kesner, J E, 406 Kessler, R C, 275, 406 Ketring, S A, 274 Kiecolt-Glaser, J K, 254, 434, 436 Kim, B S K, 231 Kim, S, 206 King, V, 407 Kinsey, A, 338 Kirk, S A, 229 Kirschner, D, 218, 400 Kirschner, S, 218, 400 Kiselica, M S, 231, 238 Kleiman, A, 267 Klein, M, 143 Klimas, A B, 31 Kline, G H, 443 Klonoff, E A, 230, 231 Knight, B, 98 Koerner, S S, 423 Kohlberg, L, 229 Kohn, C, 255 Kok, C J, 362 Kolbenschlag, M, 229 Kornman, C L, 232 Kowal, J, 181, 255 Kposowa, A J.

where the # marks the cutting point. First we exchange genes between the cutting points. This derives a mapping between genes in the exchanged section. Since a valid permutation should not contain the duplicated genes (i.e., no loop is allowed in the traveling route), we replace the duplicated genes with their corresponding mappings. For example, the chromosome

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hile evaluation of the probability of default by an obligor has been the central focus of bankers since banks rst began lending money, quantitative modeling of the credit risk for an individual obligor (or transaction) is actually fairly recent. Moreover, the modeling of the credit risk associated with portfolios of credit instruments loans, bonds, guarantees, or derivatives is a very recent development. The development in credit portfolio models is comparable albeit with a lag to the development of market risk models [Value at Risk (VaR) models]. When the VaR models were being developed in the early 1990s, most large banks and securities rms recognized the need for such models, but there was little consensus on standards and few rms actually had full implementations. The same situation exists currently for credit risk modeling. The leading nancial institutions recognize its necessity, but there exist a variety of approaches and competing methodologies. There are three types of credit portfolio models in use currently: 1. Structural models There are two vendor-supplied credit portfolio models of this type: Moody s KMV Portfolio Manager and RiskMetrics Group s CreditManager. 2. Macrofactor models McKinsey and Company introduced Credit PortfolioView in 1998. 3. Actuarial ( reduced form ) models: Credit Suisse First Boston introduced Credit Risk+ in 1997. In addition to the publicly available models noted above, it appears that a number of proprietary models have been developed. This point is illustrated by the fact that the ISDA/IIF project that compared credit portfolio models identi ed 18 proprietary (internal) models (IIF/ISDA, 2000). Note, however, that proprietary models were more likely to exist for credit card and mortgage portfolios or for middle market bank lending (i.e., credit scoring models).

, 408 Kranzler, H R, 327 Kraus, N, 387, 400 Kreider, R M, 1, 30 Krestan, J, 378 Kroupin, G, 40 Krueger, D W, 386 Kubie, L, 33 Kung, W W, 444 Kurdek, L A, 374, 377, 435 Kurusu, T, 355 Kutchins, H, 229 Kwansy, J, 355 Labouvie, E, 326 Laird, I, 408 Laird, J, 447 Lakoff, R T, 233, 234 Lam, D, 348 Lamb, S, 230 Landau, D, 229 Landau-Stanton, J, 268 Landrine, H, 230, 231 Landry, D B, 277 Langhinrichsen, J, 290, 291, 298, 299 Lantz, J, 255, 444 Larner, K, 91 La Taillade, J J, 433.

Add a surface to a ppf market data environment On Error Resume Next Dim NumExp As Integer: NumExp = Expiries.Rows.Count Dim NumTen As Integer: NumTen = Tenors.Columns.Count If Surface.Rows.Count <> NumExp Or Surface.Columns.Count <> NumTen Then PPF AddSurface = "#err: invalid argument" End If Dim Exp As Variant ReDim Exp(NumExp) Dim I, J As Integer For I = 1 To NumExp Exp(I) = Expiries(I).Value Next I Dim Ten As Variant ReDim Ten(NumTen) For I = 1 To NumTen Ten(I) = Tenors(1, I).Value Next I Dim Values As Variant ReDim Values(NumExp, NumTen) For I = 1 To NumExp For J = 1 To NumTen Values(I, J) = Surface(I, J).Value Next J Next I Dim MarketServer As Object Set MarketServer = CreateObject("ppf.market") Call MarketServer.AddSurface(Market, Name, Exp, Ten, Values) If Err.Number <> 0 Then PPF AddSurface = "#err : " & Err.Description Else PPF AddSurface = True End If Set MarketServer = Nothing End Function

There are big differences on how the two commands just shown operate, leading to very different performance. The find -exec spawns the command ls for each result it finds. The xargs command works more efficiently by passing many results as input to a single ls command. To negate a search criterion, place an exclamation point (!) before that criterion. The next example finds all the files that are not owned by the group root and are regular files, and then does an ls -l on each:

MoU 16 MoU 16 bis MoU 17 MoU 17 bis MoU 18 MoU 19 MoU 19 bis MoU 20 MoU 21 MoU 22 MoU 23 MoU 24 MoU 25 MoU 26 MoU 26 bis MoU 27 MoU 28 MoU 29 MoU 30

Blueprint by Randall R. Rader and Patrick B. McGuigan, 219. Copyright 1983 by Henry Regnery Publishing. All rights reserved. Reprinted by special permission of Regnery Publishing, Inc. Washington, D.C.

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