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In high-frequency financial data not only returns, but also waiting times between consecutive trades are random variables. Therefore, it is possible to apply continuous-time random walks (CTRWs) as phenomenological models of the high-frequency price dynamics. An empirical analysis performed on the 30 DJIA stocks shows that the waiting-time survival(More)
Continuous-time random walks can be used as phenomenological models of high-frequency time dynamics in financial markets. Empirical analyses show that the intertrade durations (or waiting-times) are non-exponentially distributed. This fact imposes constraints on agent-based models of financial markets based on continuous-double auctions.
This study is driven by the need to improve the oxide reliability of a memory cell. The effects of dynamic high electric field stressing on thin oxide have been studied. Difference between time to breakdown with static stress and dynamic stress has been shown. Trapped charge in interface states under dynamic and static oxide field stress has been(More)
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