Financial Models and Simulation by Dimitris N. Chorafas (auth.)

By Dimitris N. Chorafas (auth.)

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Interactive computational finance has come of age because analytical models enable computers to understand and manipulate information much more directly than is possible with conventional programming techniques. At the same time, seamless access to distributed deductive databases provides the necessary raw data from which meaningful information will be extracted (see Chorafas, 1994b). Interactive computational finance means knowledge readily available at workstations, though the background work may be done in number crunching supercomputers.

J I0.. 2 A systems methodology is not necessarily straightforward, as it includes loopbacks can be structured and optimized. Economic problems are always of such urgency that there is tremendous pressure on the financial expert to get immediate results. Other things being equal, the better the tools being used, the better the results obtained. THE MISSION OF DEVELOPING AND PROVIDING FINANCIAL INFORMATION Mapping a real world situation into the computer by means of a financial model might be an exciting exercise which opens up lots of possibilities.

Chapter I has explained the concept of modeling and how important are the analytical tools in evaluating profitability. Profitability evaluation may consider a product or service; a customer account; or some other frame of reference. Models are also written for: • Transferring charges and credits between products or profit centers regarding funds provided and used, • Measuring an account's profitability in comparison to other accounts and to internal standards, • Highlighting discrepancies which exist between different production (or sales) units, and so on.

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