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That is, the government does not explicitly sell the industry or company a call option (which is in turn shared with equity and/or bond investors), but the likelihood of its stepping in to intervene could well be construed to imply the existence of a call-like support Because we are dealing with a less than explicit call option, we must contend with a list of vagaries What is the strike price of the invisible call Its appropriate volatility Rather than trying to focus on the minutiae of how such questions might be answered, perhaps it would be sufficient simply to highlight the variables that are deserving of consideration Active investors interested in credit-.

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And perhaps most disappointingly to millions of budding da Vincis, there is no way to save your drawing Once it is erased, it is gone forever..

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A centralized system may be composed of different parts. However, these parts, such as classes in an object-oriented program, are not autonomous; the system possesses full control over its parts at anyone time. The parts become operational at the time the system is started and if the system is deactivated or deleted, then all parts of the system will be deactivated or deleted, too. Centralized systems are often fairly homogeneous. They tend to be constructed using the same technology. Very often the same programming language and the same compiler is used for all parts. The compiler generates the same type of machine code and all parts use the same representation for data. Parts are then either statically or dynamically loaded by the

This ABER was calculated based on an average of 100 transmission bursts, each containing 500 symbols per iteration. The same Kalman variables are varied asin Section 3.2.1 and the convergence effects are quantified and interpreted the next section. in

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on earnings, or a model, to project volatility into the foreseeable future. The volatility of market value can easily be implied from these proxy measures. [See Matten (2000) for a full discussion of this approach.] Top-down measures are most appropriate for high volume businesses (e.g., consumer lending), where transaction level detail is unavailable and the allocation of capital to speci c transactions is not required. In the top-down approach, we consider the whole rm and examine earnings volatility. We collect data on period-to-period earnings and then create a distribution of historical pro t volatility. This kind of approach is applicable to rms in which the businesses remain stable over time (i.e., when we look at one period to the next, the business hasn t changed). Furthermore, it requires a lot of data hopefully high frequency data. (I would like daily observations of earnings, but it s likely that monthly or quarterly is the best I can get.) In the stylized example in Exhibit 8.1, we ve collected the data and used them to create a histogram. In order to obtain a measure of economic capital, we must specify the con dence level. Note that this con dence level is in terms of earnings (a ow), rather than in terms of value. If we want a 99% con dence level, we need to select the value of earnings that will isolate 1%, the area of the distribution in the left-hand tail. (Note that we look at the left-hand tail, because we are looking at a distribution of earnings, rather than a distribution of losses.) Suppose that the board has speci ed the target insolvency rate to be 1 /10 of 1% (i.e., a 99.9% con dence level). We would use a histogram like

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