2,189 research outputs found

    Earliest-deadline-first service in heavy-traffic acyclic networks

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    This paper presents a heavy traffic analysis of the behavior of multi-class acyclic queueing networks in which the customers have deadlines. We assume the queueing system consists of J stations, and there are K different customer classes. Customers from each class arrive to the network according to independent renewal processes. The customers from each class are assigned a random deadline drawn from a deadline distribution associated with that class and they move from station to station according to a fixed acyclic route. The customers at a given node are processed according to the earliest-deadline-first (EDF) queue discipline. At any time, the customers of each type at each node have a lead time, the time until their deadline lapses. We model these lead times as a random counting measure on the real line. Under heavy traffic conditions and suitable scaling, it is proved that the measure-valued lead-time process converges to a deterministic function of the workload process

    A Multivariate Model of Strategic Asset Allocation

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    Much recent work has documented evidence for predictability of asset returns. We show how such predictability can affect the portfolio choices of long-lived investors who value wealth not for its own sake but for the consumption their wealth can support. We develop an approximate solution method for the optimal consumption and portfolio choice problem of an infinitely-lived investor with Epstein-Zin utility who faces a set of asset returns described by a vector autoregression in returns and state variables. Empirical estimates in long-run annual and postwar quarterly US data suggest that the predictability of stock returns greatly increases the optimal demand for stocks. The role of nominal bonds in long-term portfolios depends on the importance of real interest rate risk relative to other sources of risk. We extend the analysis to consider long-term inflation-indexed bonds and find that these bonds greatly increase the utility of conservative investors, who should hold large positions when they are available.

    Neoliberalism, English, and spoiled identity: The case of a high-achieving university graduate in Hong Kong

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    Neoliberalism has permeated every sphere of social life, including education and language learning, seeking to produce a particular kind of subject, homo economicus, with the dispositions required to manage the self as an economic project. This article unravels the workings of the unfulfilled promise of neoliberal English education and its damaging consequences on a high-achieving female university graduate in the context of contemporary Hong Kong. Combining Marxist and Foucauldian perspectives, while simultaneously drawing on Goffman's concepts of stigma and spoiled identity, our analysis is informed by positioning theory and captures the impact of what we have termed the English language gaze on our informant's sense of self. Seen through a Foucauldian lens, the data reveal the extent, but also the limits, of her assimilation of neoliberal governmentality, while the Marxist lens allows us to account for her plight in terms of alienation and the resulting stigma of a spoiled identity

    Extracting Networks of People and Places from Literary Texts

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    Corporate Governance and Managerial Risk Taking: Theory and Evidence

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    We study how the investor protection environment affects corporate managers’ incentives to take value-enhancing risks. In our model, the manager chooses higher perk consumption when investor protection is low. Since perks represent a priority claim held by the manager, lower investor protection leads the manager to implement a sub-optimally conservative investment policy, effectively aligning her risk-taking incentives with those of the debt holders. By the same token, higher investor protection is associated with riskier investment policy and faster firm growth. We test these predictions in a large Global Vantage panel. We find strong empirical confirmation that corporate risk-taking and firm growth rates are positively related to the quality of investor protection

    Development of a Fuzzy Fire Risk Evaluation Model for Building Construction Sites in Hong Kong

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    Earlier research works on fire risk evaluation indicated that an objective,reliable, comprehensive, and practical fire risk evaluation model is essentialfor mitigating fire occurrence in building construction sites. Nevertheless,real empirical studies in this research area are quite limited. This journalpaper gives an account of the second stage of a research study aiming atdeveloping a fuzzy fire risk evaluation model for building construction sitesin Hong Kong. The empirical research findings showed that the overall firerisk level of building construction sites is 3.6427, which can be interpretedas “moderate risk”. Also, the survey respondents perceived that “Restrictionsfor On-Site Personnel” is the most vital fire risk factor; with “Storage ofFlammable Liquids or Dangerous Goods” being the second; and “Attitudeof Main Contractor” the third. The proposed fuzzy fire risk evaluationmodel for building construction sites can be used to assess the overall firerisk level for a building construction site, and to identify improvementareas needed. Although the fuzzy fire risk evaluation model was developeddomestically in Hong Kong, the research could be reproduced in othernations to develop similar models for international comparisons. Suchan extension would provide a deeper understanding of the fire riskmanagement on building construction sites
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