The Q Theory Of Mergers - remarkable
Abstract This paper critically evaluates the merger between Apple Inc and AuthenTec that took place on the 26th July The paper analyses the process of the negotiations and with a keen interest on the motivation behind the deal. This paper delves into the timing of the negotiations examining indicators that could reveal any hidden motives that Apple could have had that led to the signing of the final agreement. The paper uses a theoretical lens to explain the occurrences, the nature of negotiations and who actually exerted pressure on the process and the reason why. This application from Apple pointed at a new technology for the iPhone and its other devices, a security feature that would incorporate fingerprint scanner. Interesting was the fact that this technology was acquired from AuthenTec. Purcher explains that Apple had made such applications earlier in , an indicator that it was interested in fingerprint scanners for its future devices. It appears that this research was at an advanced stage in with the revelation that this technology would be used together with face or Retina recognition as a sophisticated security measure on its iPhone and MAC. The Q-Theory of Mergers explains that mergers can be used as means for technology transfer and capital reallocation Jovanovic et al. The Q Theory Of Mergers.The Q Theory Of Mergers Video
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Abstract - Add to MetaCart Abstract not found. Motivation through the Design of Work: Test of a Theory.
A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: a the psychological states of employees that must be present for internally motiv Abstract - Cited by 2 self - Add to MetaCart such methodologies are developed, it will remain impractical to use activation theory in predicting or changing employee reactions to their jobs except in a very gross fashion; e.
A second problem has to do. Investor psychology and security market under- and overreactions by Kent Daniel, David Hirshleifer - Journal of Finance What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database Abstract - Cited by 0 self - Add to MetaCart research directions in the field.
A cross a wide variety of fields, data are being collected and accumulated at a dramatic pace.
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There is an urgent need for a new generation of computational theories and tools to assist humans in extracting useful information knowledge from the rapidly growing volumes. The Determinants of Credit Spread Changes. Variables that should in theory determine credit spread changes have rather limited explanatory power.
Further, the residuals from this regression are Abstract - Cited by 2 self - Add to MetaCartand maturity groups. Note that this result by itself is not surprising, since theory predicts that all credit spreads should be affected by aggregate variables such as changes in the interest rate, changes in business climate, changes in market volatility, etc. The particularly surprising aspect of our results. Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distribution and on the event or value that materializes.]
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