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Future prospect of a graduate electrical engineer working as a maintenance engineer in a mechanical/automobile plant

Tags : graduate electrical engineer as maintenance engineer
Industry : Automobile
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Future prospect of a graduate electrical engineer working as a maintenance engineer in a mechanical/automobile plan

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What is the function of an graduate electrical engineer working as a maintenance engineer in a mechanical/automobile manufacturing plant? what will be the future prospect of a fresh graduate electric...
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Financial engineering has provided innumerable lucrative opportunities for otherwise indigent mathematicians Nevertheless the turbulence in the bond markets in the last couple of months, at a time when the world economy’s prospects seemed set fair, have exposed a guilty secret of the financial engineering profession: its methods don’t work. First area of failure is liquidity. Theoretically, if financial engineers design ever fancier artificial securities and derivatives, but everybody uses the same mathematical models to value them, there is no reason why an active market should not operate in the securities, at whatever price the models direct. In practice this only works in calm markets. In times of market turbulence, when doubts arise about either the mathematical models themselves or the underlying assets from which value is derived, the true value of these artificial assets becomes thoroughly unclear. Buyers assess their value at the lowest possible level, and refuse to...
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  Neural networks in financial engineering Neural networks have shown considerable successes in modeling financial data series. However, a major weakness of neural modeling is the lack of established procedures for performing tests for misspecified models, and tests of statistical significance for the various parameters that have been estimated.  This is a serious disadvantage in applications where there is a strong culture for testing not only the predictive power of a model or the sensitivity of the dependent variable to changes in the inputs but also the statistical significance of the finding at a specified level of confidence. Rarely is this more important than in the case of financial engineering, where the data generating processes are dominantly stochastic and only partially deterministic. Partly a tutorial, partly a review, this paper describes a collection of typical applications in options pricing, cointegration, the term structure of interest rates and models of...
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