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public static readonly DependencyProperty WidthProperty; By convention, dependency properties end with the word Property, and this is adhered to throughout Silverlight Notice that it is marked public while this is also a convention, there is no compelling reason to not expose it publicly The dependency property should be just as visible as the NET property wrapper The NET property provides a shortcut, hiding the fact that there is an underlying dependency property, since it wraps the calls to GetValue and SetValue public double Width { get { return (double) thisGetValue(WidthProperty); } set { baseSetValue(WidthProperty, value); } } Simply declaring the dependency property is not enough it must be registered with the dependency property system using the DependencyPropertyRegister static method.



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The fact is that the ILECs are under siege on multiple fronts One of the critical questions that now comes up routinely in strategy discussions is this: Should the big three (Verizon, SBC, and Bellsouth) stop spending so much on capital outlay to build out their own networks and instead start spending their cash on the acquisition of preexisting assets Companies like WorldCom, Cingular, Nextel, and Sprint PCS are, by many measures, undervalued at the moment; and because the ILECs have a recurring revenue stream, they have relatively easy access to capital compared to some of their competitors One of the biggest challenges they face is that they have very high fixed costs and very low variable costs which makes it difficult for them to make major adjustments in their cost base without drastic changes (like huge headcount reductions).





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The code fragment above implements the logic of the exit strategy. The parameters ptlim and mmsrp are set to 4.5 and 1.5, respectively; these are the values that gave the best overall portfolio performance (see Table 14-1, 14). The thresh parameter, i.e., the threshold used to generate exits based on the neural forecasts, is optimized. The logic of the additional exit can be seen in the if statements that compare the prediction of the network with the threshold and that post an exit at close order based on the comparison. The parameter thresh is stepped from 50 to 80 in increments of 2. RESULTS OF THE NEURAL EXIT TEST Baseline Results Table 15-l contains data on the baseline behavior of the MSES. The threshold ..was set high enough to prevent any net-based exits from occurring. The numbers in this table are the same as those reported in 14 (Table 14-I) for an opti-

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The danger is that as they begin to lose access lines to competitors such as cable MSOs, wireless providers, and CLECs at what point do they lose critical mass and begin to collapse under the weight of their own infrastructure Furthermore, as ARPU levels decline without a closely tied reduction in costs, the hole gets deeper Consider that between 1998 and 2002 alone Bellsouth, Verizon, and SBC spent $140 billion in CAPEX on their networks, a move that yielded less than one percent revenue growth In 2003 they made combined profits of $20 billion on a collective market value of $240 billion Clearly they want these numbers to increase In 1998, ILEC CAPEX was 30 to 33 percent of revenues; today it is far lower, about 14 percent.

ma1 fixed stop and profit target. The abbreviations in Table 15-l may be interpreted as follows: SAMP = whether the test was on the training or verification sample (IN or OUT); NETL = the total net profit on long trades, in thousands of dollars; NETS = the total net profit on short trades, in thousands of dollars; PFAC = the profit factor; ROA% = the annualized return-on-account; ARRR = the annualized risk-to-reward ratio; PROB = the associated probability or statistical significance; TRDS = the number of trades taken across all commodities in the portfolio; WIN% = the percentage of winning trades; AVTR = the average profit/loss per trade; and TRDB = the average number of bars or days a trade was held. There was great consistency between in- and out-of-sample performance: The average trade lost $1,581 in-sample and $1,580 out-of-sample; both samples had 39% winning trades; and the risk-to-reward ratios were - 1.46 in-sample and - 1.45 out-of-sample. Neural Exlt Porlfolio Results

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