نتایج جستجو برای: time horizon analysis
تعداد نتایج: 4274202 فیلتر نتایج به سال:
Abstract The aim of executive compensation plans is to incentivize executives maximize long-term firm value. Past research shows that executives’ pay determined by short-term stock performance a substantial degree. This paper tests for distributional differences in the time horizon performance–pay relation, controlling executive-firm fixed effects quantile regression framework. I identify and i...
based on the latest records of typhlops vermicularis merrem, 1820 from iran, this species is distributed in the northern and southern regions of the country. in this study, new records of typhlops vermicularis are presented and it is shown that distribution range of this species is extended towards the eastern and western iran, and according to the new distribution map, it can be assumed that t...
the present paper investigates how far ideologies can be tease out in discourse by examining the employed schemata by two ideologically opposed news media, the bbc and press tv, to report syria crisis during a period of nine months in 2011. by assuming that news is not a valuefree construction of facts and drawing on micro structural approach of schema theory, for the first time in discours...
In the analysis of the stock market and its market indices, instead of estimating returns and their distributions at a given time interval, it is possible to extract optimal time to achieve a certain return. In this study, the distribution of investment horizons and optimal investment horizons through inverse gamma statistics method for the indices of automobile, sugar, pharmaceutical, financia...
Human experience of temporal durations exhibits a multi-regional structure, with more or less distinct boundaries, or horizons, on the scale of physical duration. The inner horizons are imposed by perceptual thresholds for simultaneity (approximately equal to 3 ms) and temporal order (approximatly equal to 30 ms), and are determined by the dynamical properties of the neural substrate integratin...
We present one of the first algorithms on model based reinforcement learning and trajectory optimization with free final time horizon. Grounded on the optimal control theory and Dynamic Programming, we derive a set of backward differential equations that propagate the value function and provide the optimal control policy and the optimal time horizon. The resulting policy generalizes previous re...
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