The Decision Data Base
The Decision Data Base
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In our eReader you can find the full English version of the book. Read The Decision Data Base Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book The Decision Data Base
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In our opinion, mixed integer programming models provide a very realistic description of decision problems associated with integrated logistics planning. The models capture costs, transformation activities, capacities, inventory management, product movements, and facilities location decisions in a manner that is complete and consistent v^th managerial intuition.
By contrast, the mixed integer programming models for dedicated portfolio optimization are a less realistic fit to the problems they a...re supposed to analyze. The main reason for the lack of realism is their deterministic view of the future. The models do not directly address the primary responsibility and concern of financial managers; namely, to control risk while guaranteeing a superior or acceptable return. As we discussed, the attributes constraints are intended to provide these managers with indirect means for controlling uncertainty, but their effectiveness leaves much to be desired.
For fixed income portfolios, the most important uncertain parameters are future interest rates.
What to read after The Decision Data Base?
You can find similar books in the "Read Also" column, or choose other free books by Jeremy F Shapiro to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
In our opinion, mixed integer programming models provide a very realistic description of decision problems associated with integrated logistics planning. The models capture costs, transformation activities, capacities, inventory management, product movements, and facilities location decisions in a manner that is complete and consistent v^th managerial intuition.
By contrast, the mixed integer programming models for dedicated portfolio optimization are a less realistic fit to the problems they a...re supposed to analyze. The main reason for the lack of realism is their deterministic view of the future. The models do not directly address the primary responsibility and concern of financial managers; namely, to control risk while guaranteeing a superior or acceptable return. As we discussed, the attributes constraints are intended to provide these managers with indirect means for controlling uncertainty, but their effectiveness leaves much to be desired.
For fixed income portfolios, the most important uncertain parameters are future interest rates.
What to read after The Decision Data Base?
You can find similar books in the "Read Also" column, or choose other free books by Jeremy F Shapiro to read onlineMoreLess
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