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The only way to avoid the problem of faulty programming code and to ensure the integrity of a trading system s performance results is the painstaking and tedious process known as spot checking Spot checking entails running through the entire trade list results for the system and comparing these against the full data history Even prior to combing through the details of the entire data history, a quick review of the performance summary tables often can clue us in to programming flaws Examples of these anomalies in performance tables include 0 or 100 percent of trading signals generated being long positions, average length of trades being atypically short or long in duration or 0 or 100 percent of trades being losses Once the scan of performance tables has been completed, the spotchecking process should commence.

The NPC Regulations expressly provide that interest rate swaps, currency swaps, basis swaps, interest rate caps, interest rate oors, commodity swaps, equity swaps, equity index swaps, and similar agreements all qualify as NPCs A collar is not itself an NPC, but certain caps and oors that comprise a collar may be treated as a single NPC under special rules A contract may be an NPC even though its term is subject to termination or extension Further, each con rmation under a master agreement to enter into agreements governed by the NPC Regulations is treated as a separate NPC [Treas Reg 1446-3(c)(1)(i)]..

Here we should seek answers to these questions: Were conditions for entry and exit met Were trades initiated Was it at the intended price level Were commissions and/or slippage deducted from profits and added to losses 2.

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The contents of a custom tag can be classified as a simple tag without a body, a tag with a body, or a tag with attributes. The methods to be implemented in the tag handler class file will therefore depend on the structure of the tag. Table 15.2 lists the various methods that are implemented according to the structure of the tag handler. The functionality of the tag library is defined using the methods from the abstract class Tag. Table 15.3 lists the methods of the Tag class.

suspicion is inaccurate Even if the object was temporarily unavailable, it is permanently removed from the set of replicas The FT-CORBA platform, thus, does not use unreliable failure detectors Object Factories are distributed over every host in the fault tolerance domain in which application object replicas can be created and run Upon request from the Replication Manager, the Object Factory creates a new instance of an application object and starts it in a different process on the machine Replicas of an object group are created on different hosts The list of hosts that can be used is given in the application s request to the Replication Manager Replica failures are detected by Fault Monitors running on each replica s host For each object to be monitored, the Fault Monitor CORBA object creates a separate thread.

A regression model is a mathematical model that predicts a continuous response variable. For example, a regression model could be developed to predict actual sales volume or the temperature resulting from an experiment. Figure 7.3 shows two scatterplots. These illustrate the relationship between two variables. The variable on the y-axis is the response variable that is to be predicted. The variable on the xaxis is the descriptor variable that will be used in the predictive model. It is possible to see the relationship between the variables. In scatterplot a, as variable B increases, variable A increases proportionally. This relationship closely follows a straight line, as shown, and is called a linear relationship. In scatterplot b, as variable D increases, variable C also increases. In this case, the increase in C is not proportional to the increase in D and hence this type of relationship is called nonlinear. In Figure 7.4, it is not possible to see any relationship between the variables F and E.

A pull-based monitoring style is used, that is, the Fault Monitor calls the is alive method of the application CORBA object periodically to nd out whether the replica is still able to process client requests As soon as this method call times out, or it signals a failure, the Fault Monitor reports this to the Fault Noti er The latter sends fault noti cations to its registered consumers, one of them being the Replication Manager Gateway for Active Replication Instead of the client broadcasting its request directly to all active server replicas, our platform uses a gateway CORBA object This object is created as soon as an actively replicated group is deployed, and started on one of the server machines The gateway ful lls a double role in the context of processing requests by the active group.

20 This effect of prior knowledge occurs at a much higher level than the effect of prior knowledge on the perception of objects. The Bayesian mechanism applies at all levels of brain processing.

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