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Because of the problem with RAROC noted previously (i.e., the possibility of accepting high-risk projects with negative net present values and rejecting low-risk projects with positive net present values) RAROC is often transposed into economic pro t. Economic pro t is a more direct measure of whether a rm (or a business unit within that rm) is creating value for its shareholders (and is a proxy for the basic rule that the rm should accept all positive net present value projects and reject all negative net present value projects). It is expressed simply as adjusted net income (as previously de ned) minus the cost of capital deployed. Adjusted Net Income Economic Pro t = [Economic Capital Required Return on Capital] Up to this point we have alluded to shareholders required rate of return without formalizing the notion. Practitioners generally apply a single cost of capital, estimated at the bank level, to all business units. This could be debated on theoretical grounds, but practical considerations lead most institutions to adjust the amount of capital assigned to units based on risk and then apply a bank-wide required return. This return might be estimated using the Capital Asset Pricing Model, the bank s stock beta, and

Part III: Microeconomics: The Science of Consumer and Firm Behaviour Making lemonade: Solutions to the lemons problem

Figure 15.3. (a) Example of a MEMS array with mirrors located in the center sealed under a glass cover. (b) Insertion loss distribution of 347 347 3D-MEMS switch.

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The reason why the supply curve shifts up vertically by the amount of the tax is connected with the motivation of suppliers. In 8, we explain that each point on the supply curve tells you the minimum that you would have to pay suppliers to get them to supply the relevant quantity. For example, look at point A. Because point A is on the supply curve, you know that you have to pay 5 per kilo if you want suppliers to provide 10 million kilos of beef. Similarly, point E tells you that you have to pay suppliers 4.50 per kilo if you want them to supply only 9 million kilos of beef.

protected void onDisplay() { // Create an offscreen bitmap you can draw to _myOffScreenBitmap = new Bitmap( getWidth(), getHeight()); _myOffScreenGraphics = new Graphics( _myOffScreenBitmap ); //clear offscreen bitmap _myOffScreenGraphics.clear(); }

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Whitehouse et al. (1992) Rathner and Messner (1993) Wlodarczyk-Bisaga and Dolan (1996) Santonastaso et al. (1996) Steinhausen et al. (1997) Nobakht and Dezhkam (2000)

82. Vicente J, et al. `Programming Internet Quality of Service,' 3rd IFIP/GI International Conference of Trends toward a Universal Service Market, Munich, Germany, September 12 14, 2000. http://comet.ctr.columbia.edu/$campbell/papers/usm00.pdf. 83. Wetherall D, et al. `ANTS: A Toolkit for Building and Dynamically Deploying Network Protocols.' Proceedings of IEEE OPENARCH '98, April 1998. 84. Wetherall D, et al. `ANTS: A Toolkit for Building and Dynamically Deploying Network Protocols.' Proceedings of IEEE OPENARCH '98, April 1998. 85. Yemini Y, Konstantinou A, Florissi D. `NESTOR: An architecture for NEtwork Selfmanagement and Organization.' IEEE Journal on Selected Areas in Communications 2000; 18(5): 758 766. 86. Yang L, et al. ForCES Forwarding Element Functional Model, March 2003. 87. Zegura E (ed.). Composable Services for Active Networks, AN Composable Services Working Group, September 1998. http://www.cc.gatech.edu/projects/CANEs/papers/csdraft0-3.ps.gz. 88. Karnouskos S, Guo H, Becker T. `Trade-Off or Invention: Experimental Integration of Active Networking and Programmable Networks.' Special Issue on Programmable Switches and Routers. IEEE Journal of Communications and Networks 2001; 3(1): 19 27. 89. Moab. http://www.cs.utah.edu/ ux/janos/moab.html. 90. Wetherall D, Tennenhouse D. `The ACTIVE IP Options.' Proceedings of the 7th ACM SIGOPS European Workshop, September 1996.

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14.5 MOST GENERAL WAY OF CREATING NEW RULES AND DATA DESCRIPTORS While the rule- and data descriptor generating method in RULEGEN.FPS is superior to that used in the PAVLOV programs, it is still restricted to maximum number of attributes speci ed in the Proto data descriptor. A completely general way of generating new data elements and rules depends on the use of the FLOPS systemfurnished variable <string>. A string can be initialized by the command string = "..." and assembled by concatenating substrings using the command string + "..." where "..." is whatever text you desire. In this way, one can assemble any desired FLOPS command with complete freedom and maximum exibility. An extremely simple example is given by program StringRule.fps in the TFLOPS examples folder.

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