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CREATE TABLE NamingCtxts (id TEXT, objref TEXT, CONSTRAINT c1 PRIMARY KEY (id)) CREATE TABLE Bindings ( id TEXT, name TEXT, kind TEXT, objref TEXT, CONSTRAINT c2 PRIMARY KEY(id)) CREATE TABLE NameBindings ( nctx TEXT, bind TEXT, CONSTRAINT c3 FOREIGN KEY(nctx) REFERENCES NamingCtxts(id), CONSTRAINT c4 FOREIGN KEY(bind) REFERENCES Bindings(id))

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Marginal Capital for the Three Business Units Marginal capital is obtained by calculating total bank capital including and excluding the business unit and then taking the difference between the two total bank capital numbers. In addition to calculating the stand-alone capital for the three individual businesses, we also calculated some hypothetical stand-alone capital numbers: Pretending that the rm was comprised only of Businesses 2 and 3, assets would be 2,000 and asset volatility would be 24%. (Why is the volatility so low It is because I assumed that the correlation between Businesses 2 and 3 is zero.) Using the Merton Perold approximation, stand-alone capital for Businesses 2 and 3 together would be 189. Pretending that the rm was comprised only of Businesses 1 and 3, assets would be 2,000 and asset volatility would be 23%. Using the Merton Perold approximation, stand-alone capital for Businesses 1 and 3 together would be 186. Pretending that the rm was comprised only of Businesses 1 and 2, assets would be 2,000 and asset volatility would be 18%. Stand-alone capital for Businesses 1 and 2 together would be 186. Since total economic capital for the bank including Business 1 is 222 and capital without Business 1 is 189, the marginal capital for Business 1 is 33. Likewise, marginal capital for Business 2 is 36; and marginal capital for Business 3 is 77.

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frequency, and so the ensemble should be broadband. However, whether the arms are resonant or short, the ensemble acts like a single fat antenna because of mutual coupling among the closely spaced arms. The result is again a narrowband antenna resulting from a lack of basic understanding of antennas and mutual coupling.

monthly payments for their houses, and the houses must be sold at a foreclosure. In such cases, PMI kicks in and pays the lender the difference between the buyer s down payment and 20 percent or 25 percent of the house price. Let s say that a buyer makes a 5 percent down payment on an $85,000 house ($4,250) and then defaults. A PMI company may pay the lender the difference between 25 percent of the house price ($21,250) and the $4,250 down payment $17,000. Why the extra 5 percent To pay the lender s other expenses, such as legal costs connected with foreclosure proceedings, delinquent property taxes, premiums advanced for house insurance. (But instead of paying claims, PMI companies may take title to the property.) While the buyer pays for the insurance, it s the lender who is the customer of the PMI company. PMI companies don t even want buyers to phone them with questions. It s the same with title insurance: You pay for it, and the lender is protected too. How much will you pay for PMI It depends on how little a down payment you fork over, the term of the mortgage, whether the mortgage interest rate is f ixed or adjustable, and the amount of insurance coverage required. But, in general, if you make a down payment of 5 percent to 9 percent of the house price, you ll pay 1 percent of the mortgage the f irst year, and 0.5 percent of the declining balance in later years.

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Figure 4.19 summarizes the yield relationship to the different callable bond structures presented in this section. Each successive layer represents a different and higher-yielding callable product. For another perspective on the relationships among products, cash flows, and credit, consider Figure 4.20, which plots the price volatility of a triple-A-rated pass-thru against four 10-year final maturity bonds. One of the bonds is a bullet, while the other three are different types of callables. Each

Supervision is an interpersonal interaction between two or more individuals for the purpose of sharing knowledge, assessing professional competencies, and providing objective feedback with the terminal goals of developing new competencies, facilitating effective delivery of psychological services, and maintaining professional competencies (2000, pp. 33 34).

FIGURE 5.1 Bayes predictive density (via Monte Carlo sampling) for the time to total failure of hydraulic pumps for Example 5.1. The solid line is the predictive distribution. The dashed lines are the 5% and 95% pointwise prediction bounds.

Handbook of Eating Disorders. Edited by J. Treasure, U. Schmidt and E. van Furth. C 2003 John Wiley & Sons, Ltd.

In the past, radiation therapy was utilized in the treatment of VAIN. It is rarely used for this pur-

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