標(biāo)題: Titlebook: Life Cycle Investing and Occupational Old-Age Provision in Switzerland; Florian Zainhofer Book 2008 Gabler Verlag | Springer Fachmedien Wi [打印本頁(yè)] 作者: 富裕 時(shí)間: 2025-3-21 17:53
書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland影響因子(影響力)
書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland影響因子(影響力)學(xué)科排名
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書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland被引頻次
書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland被引頻次學(xué)科排名
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書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland讀者反饋
書目名稱Life Cycle Investing and Occupational Old-Age Provision in Switzerland讀者反饋學(xué)科排名
作者: BRACE 時(shí)間: 2025-3-21 22:56
Institutional framework, motivation and objectives,dation of the analysis by confining a context for the discussion and by describing the economic problem at hand. More specifically, it first lays out the fundamentals of the current Swiss old-age provision scheme (section 2.1) and thereby introduces the reader to the mechanics of this system. It the作者: angiography 時(shí)間: 2025-3-22 00:55 作者: 名義上 時(shí)間: 2025-3-22 07:20 作者: 精密 時(shí)間: 2025-3-22 12:39 作者: 哺乳動(dòng)物 時(shí)間: 2025-3-22 15:19
Illustration of life cycle portfolio choice for stylized Swiss investors,c groups of Swiss workers. Results were obtained for women and men with elementary, secondary or higher education and with different activity rates. The estimation results can now be applied to calibrate any conceivable life cycle model of portfolio choice, as long as the specified labor income proc作者: intelligible 時(shí)間: 2025-3-22 21:06
Welfare analysis,rticular form of individualization of the current BVG rules. The type of individualization to be considered is one that maintains the current employer-based nature of the system and thereby excludes the possibility of a free choice of pension fund or of opting out of the employer’s pension fund, but作者: Chipmunk 時(shí)間: 2025-3-22 21:51
uler that relies on the Distributed Hierarchical Control (DHC) structure. We also developed three variations of the vanilla gang scheduler that rely on a push-down heuristic and on two job-migration schemes to decrease response times by reducing processor idle time. We evaluated the gang schedulers 作者: 白楊魚 時(shí)間: 2025-3-23 02:49 作者: FUME 時(shí)間: 2025-3-23 08:17 作者: Trabeculoplasty 時(shí)間: 2025-3-23 12:03
time. This allows to react on changing characteristics of the waiting jobs. In this paper we present enhancements to the decision process of the self-tuning . scheduler and evaluate their impact on the performance: (i) While doing a self-tuning step a performance metric is needed for ranking the sc作者: BANAL 時(shí)間: 2025-3-23 15:26
stem at the University of Texas, the extensive data facilities at SDSC, and the physics experiments at ORNL. As research efforts become more extensive in scope, the co-scheduling of multiple resources becomes an essential part of scientific progress. This can be at odds with the traditional manageme作者: sinoatrial-node 時(shí)間: 2025-3-23 20:25
n. Because these machines are typically “space-shared,” each job must wait in a queue until sufficient processor resources become available to service it. In production computing settings, the queuing delay (experienced by users as the time between when the job is submitted and when it begins execut作者: Rct393 時(shí)間: 2025-3-23 23:31
erent users of the system. For example, the user who so far consumed small amount of CPU time gets higher priority and vice versa. The problem with such a solution is that it does not reflect other consumed resources like RAM, HDD storage capacity or GPU cores. Clearly, different users may have high作者: Armory 時(shí)間: 2025-3-24 04:45
ient load balancing challenging. In an environment where jobs are submitted regularly into a grid which is already executing several jobs, it becomes important to provide low job turn-around times and high throughput for the users. Typically, the grids employ a First Come First Serve (FCFS) method o作者: PRO 時(shí)間: 2025-3-24 07:13
quantities of streaming data, . is a large-scale, distributed stream processing system designed to handle complex applications. The problem of scheduling in distributed, stream-based systems is quite unlike that in more traditional systems. And the requirements for ., in particular, are more string作者: receptors 時(shí)間: 2025-3-24 13:03
As shown in our earlier work, spreading out applications over as many nodes as possible or letting different applications with potentially complementary characteristics (semi time) share each node by allocating different cores to them may provide better performance. In the latter case, groups of jo作者: perjury 時(shí)間: 2025-3-24 15:43 作者: expdient 時(shí)間: 2025-3-24 22:21 作者: monochromatic 時(shí)間: 2025-3-25 02:58
en Downey, Eitan Frachtenberg, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Reagan Moore, Bill Nitzberg, Mark Squillante, and John Towns, for an excellent job. Thanks are also due to the authors for their submissions, presentations, and final revisions for this volu作者: instate 時(shí)間: 2025-3-25 03:56
hen the schedule changes (full self-tuning), i.e. when jobs are submitted or running jobs terminate..We use discrete event simulations to evaluate the achieved performance. As job input for driving the simulations we use original traces from real supercomputer installations. The evaluation of the tw作者: 和藹 時(shí)間: 2025-3-25 10:45 作者: Infiltrate 時(shí)間: 2025-3-25 13:01
etric inference; an automated change-point detector; machine-learned, model-based clustering of jobs having similar characteristics; and an automatic downtime detector to identify systemic failures that affect job queuing delay. We compare the correctness and accuracy of our system against various p作者: 注意到 時(shí)間: 2025-3-25 18:14
low the development of usable multi resource-aware user prioritization mechanisms. We demonstrate that different consumed resources can be weighted and combined together within a single formula which can be used to establish users’ priorities. Moreover, we show that when it comes to multiple resourc作者: 哭得清醒了 時(shí)間: 2025-3-25 20:34 作者: SLUMP 時(shí)間: 2025-3-26 01:03 作者: 大看臺(tái) 時(shí)間: 2025-3-26 05:24 作者: 偶然 時(shí)間: 2025-3-26 09:28 作者: 職業(yè)拳擊手 時(shí)間: 2025-3-26 14:06 作者: Alveoli 時(shí)間: 2025-3-26 17:36
Life Cycle Investing and Occupational Old-Age Provision in Switzerland作者: clarify 時(shí)間: 2025-3-26 22:59 作者: 凌辱 時(shí)間: 2025-3-27 05:10 作者: animated 時(shí)間: 2025-3-27 06:00
Methodology: state-of-the-art,cial for Swiss workers if specific elements of choice were introduced to the second pillar of the Swiss system of old-age provision. An economic methodology is now sought to study this issue. This is the purpose of the present chapter.作者: Arctic 時(shí)間: 2025-3-27 12:30
Illustration of life cycle portfolio choice for stylized Swiss investors,he estimation results can now be applied to calibrate any conceivable life cycle model of portfolio choice, as long as the specified labor income process corresponds to the estimated process (3.5) with (3.4) and with the distributional assumption that ε.; and . are iid normally distributed with mean zero and variances σ. and σ., respectively.作者: geometrician 時(shí)間: 2025-3-27 15:20
Welfare analysis,-based nature of the system and thereby excludes the possibility of a free choice of pension fund or of opting out of the employer’s pension fund, but merely grants employees, insured under the mandatory BVG, flexibility with respect to the contribution and asset allocation decisions in their BVG account.作者: 通便 時(shí)間: 2025-3-27 20:44 作者: recede 時(shí)間: 2025-3-28 00:54 作者: 秘傳 時(shí)間: 2025-3-28 04:24 作者: 誘拐 時(shí)間: 2025-3-28 09:13 作者: APEX 時(shí)間: 2025-3-28 11:11
Methodology: computational aspects,onditions existing solution approaches can be generalized to more complicated models, such as a model specifically adapted to study the problem derived in chapter 2. iii.) The chapter examines existing algorithms and proposes a self-made algorithm to solve life cycle models of portfolio choice.
