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information both as to the success of the manager in meeting the tracking error targets and the benchmark relative risk taken by the manager. The historical tracking risk of a fund or strategy equals the standard deviation of the difference between the periodic fund and benchmark returns:

Anthracite coal Bituminous coal Lignite Peat Fuel oil Natural gas Propane Butane Wood, mixed varieties Hardwoods Softwoods Carbon (C) Hydrogen (H2) Sulfur (S)

The images remained in Rachel s mind for the rest of the day; indeed, she began to see abstract similarities everywhere that she looked. Rachel was startled by her recognition of similarities, and the underlying theme of abstraction, as when a child learns a new word and suddenly seems to find it everywhere.

S[i][j] = price*pow(up,j); }

1 + U (2)e( ( 2 )( 0 ) 1 ) (1)

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S5.218/219/221 S5.209 S5.218 S5.218/219/221 S5.209/224A S5.209 S5.224B S5.220/222/223 Add97: S5.224A&B and Mod 97: S5.209 S5.254 S5.257 (TM on primary basis in the country) S5.199 S5.111/248/254/256 S5.255

=COUNTIF(Data,3)+COUNTIF(Data,-3)

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The HOMER user can perform a sensitivity analysis with any number of sensitivity variables. Each combination of sensitivity variable values de nes a distinct sensitivity case. For example, if the user speci es six values for the grid power price and four values for the interest rate, that de nes 24 distinct sensitivity cases. HOMER performs a separate optimization process for each sensitivity case and presents the results in various tabular and graphic formats. One of the primary uses of sensitivity analysis is in dealing with uncertainty. If a system designer is unsure of the value of a particular variable, he or she can enter several values covering the likely range and see how the results vary across that range. But sensitivity analysis has applications beyond coping with uncertainty. A system designer can use sensitivity analysis to evaluate trade-offs and answer such questions as: How much additional capital investment is required to achieve 50% or 100% renewable energy production An energy planner can determine which technologies, or combinations of technologies, are optimal under different conditions. A market analyst can determine at what price, or under what conditions, a product (e.g., a fuel cell or a wind turbine) competes with the alternatives. A policy analyst can determine what level of incentive is needed to stimulate the market for a particular technology, or what level of emissions penalty would tilt the economics toward cleaner technologies. 15.4.1 Dealing with Uncertainty

Building the project is as simple as running Ant from the project s root directory, then copying the newly minted .jar file from the dist directory to the JBoss deploy directory. Here are the Windows instructions:

v(ui , s)

The / operator is to be evaluated. Therefore, we get the following expression:

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javax.xml.messaging.ProviderConnection. Creates a client connection to a JAXM provider. The connection is obtained from a ProviderConnectionFactory object that defines a set of preconfigured connections to a JAXM provider. The JAXM client does a JNDI lookup of a ProviderConnectionFactory and then uses a createConnection() method to obtain a connection to the JAXM provider.

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To segregate the known differential interest rate effect from the active management effects, we need a way of backing out from the currency return the anticipated exchange rate change over the period. We can separate the effects by observing the forward premium embedded in forward contract exchange rates. The forward premium is the beginning of period percentage difference between the forward exchange rate and the spot exchange rate, where the forward rate is the market exchange rate for currency contracts with a delivery date at the end of the period. Forward premium Beginning forward exchange rate Beginning spot exchange rate (19.2) = ---------------------------------------------------------------------------------------------------------------------------------------------------------------------Beginning spot exchange rate After removing the beginning of period forward premium from the currency return over the period, we are left with the currency return in excess of the forward premium. We can call this component of currency return the currency surprise. The currency surprise is equal to the difference between the ending spot exchange rate and the beginning forward exchange rate, divided by the beginning spot rate. Currency surprise Ending spot exchange rate Beginning forward exchange rate = --------------------------------------------------------------------------------------------------------------------------------------------------------------Beginning spot exchange rate

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