Living with the parents: the purpose of young graduates’ return to the parental home in England

Young graduates in England often return to the parental home after a period of living away during their university studies. Little is known, however, about why they return and how coresidence with parents fits within a life trajectory. This paper reports upon an in-depth cross-sectional qualitative study of young graduates’ coresidence with their parents. It identifies a five-part typology of the purpose of coresidence as perceived by the graduates: a base camp for exploration before settling into adulthood; a launch pad for careers; a savings bank, in particular for future property purchases; a refuge for respite and reflection; and a preferred residence, whether on account of comfort, cultural practice or to support parents. The paper further explores how far these purposes were associated in young adults’ accounts with social structures, individual agency or some combination of these. It concludes that the default understanding of graduates’ return and coresidence as a residual function when other options fail is insufficient. Such a generalisation obscures the different purposes which the return can enable; it overplays some notion of a broken biography rather than the positive contribution of coresidence to graduates’ trajectories towards adulthood and to their life experiences.     

凉山彝区防止返贫的困境与对策

十八大以来,在党和国家的高度重视下,凉山彝区脱贫攻坚成绩斐然。2020年,凉山彝区10县区域性整体贫困问题全面消除。为了巩固彝区脱贫成果,守住不发生规模性返贫底线,推进彝区乡村振兴,实现彝区农业稳产、农民稳收、农村稳定,本文主要从凉山彝区的社会发育程度低、自然环境恶劣、交通发展滞后、公共基础薄弱、市场发展缓慢、内生动力缺乏等详细地分析了制约凉山彝区持久脱贫的困境因素;并就防止凉山彝区规模性返贫的困境因素,首先从政策、产业和互助合作方面对已有的主要帮扶措施进行了优化与健全,其次,从构建与完善保障督查、政策联动、内生动力激发、贫困文化消解、禁毒防艾和监测评估等机制方面提出了防止凉山彝区规模性返贫的对策建议。     

随机模糊折现现金流融资决策模型建立及求解

企业未来投资收益既具有随机性又表现出一定的模糊性,而将未来单位资本投资收益率定义为随机模糊变量,按照企业发展的特点将其分为低、中、高三个阶段,并在随机模糊环境下建立了融资决策模型,最后利用基于随机模糊模拟的SPSA算法对模型进行求解,结合算例对算法的有效性进行了解释。     

混频投资者情绪与股票价格行为

采用混频数据抽样模型(MIDAS)研究了混频投资者情绪对中国股市收益率及其波动的影响.通过构建日度、周度及月度这三种不同频率的投资者情绪,实证结果发现,混频情绪对当期收益率及其波动都存在显著的正向影响,并且与传统回归模型相比,MIDAS模型具有更强的解释能力.本文进一步使用GARCH-MIDAS模型研究了混频情绪对收益率波动长期成分的影响,发现混频情绪能够显著影响收益的长期波动.     

‘There it will be better … ’: Southern Sudanese in Khartoum imagining a new ‘home’ away from ‘home’

At the time of the research, Khartoum was a multi-ethnic and multinational metropolis of 8 million people. A considerable part of the population consists of Southern Sudanese migrants and displaced persons that came during the 20 years plus of civil war in South Sudan to the capital. These people were categorised after the Comprehensive Peace Agreement (CPA), as displaced people regardless as to whether they come to the capital as labour migrants, students or because of the war to the capital. The notion of displacement assumes that they are people who are ‘out of place’: thereby assuming a former situation of being in place, a place that can be called ‘home’. After the CPA from 2005, this frequently only imagined home became a real place for the IDP’s to which they are supposed to go back. Yet, many migrants and displaced people are reluctant to move to Southern Sudan. Their decision about going to the South or staying in Khartoum depends not only on the opportunities and perspectives in their respective ‘home’ areas but also on the perceptions of belonging and identity. The imaginations and aspirations about the future life in South Sudan, which I analyse in this article, reflect this ambivalent positioning.     

Gendering international student migration: an Indian case-study

ABSTRACT

Despite the mainstreaming of gender perspectives into migration research, very few attempts have been made to gender international student migration. This paper poses three questions about Indian students who study abroad. Are there gender differences in their motivations? How do they negotiate their gendered everyday lives when abroad? Is the return to India shaped by gender relations? An online survey of Indian study-abroad students (n?=?157), and in-depth interviews with Indian students in Toronto (n?=?22), returned students in New Delhi (n?=?21), and with parents of students abroad (n?=?22) help to provide answers. Conceptually, the paper draws on a ‘gendered geographies of power’ framework and on student migration as an embodied process subject to ‘matrices of (un)intelligibility’. We find minimal gender-related differences in motivations to study abroad, except that male students are drawn from a wider social background. However, whilst abroad, both male and female Indian students face challenges in performing their gendered identities. The Indian patrifocal family puts greater pressure on males to return; females face greater challenges upon return.     

Estimation of structural mean breaks for long-memory data sets

In long-memory data sets such as the realized volatilities of financial assets, a sequential test is developed for the detection of structural mean breaks. The long memory, if any, is adjusted by fitting an HAR (heterogeneous autoregressive) model to the data sets and taking the residuals. Our test consists of applying the sequential test of Bai and Perron [Estimating and testing linear models with multiple structural changes. Econometrica. 1998;66:47–78] to the residuals. The large-sample validity of the proposed test is investigated in terms of the consistency of the estimated number of breaks and the asymptotic null distribution of the proposed test. A finite-sample Monte-Carlo experiment reveals that the proposed test tends to produce an unbiased break time estimate, while the usual sequential test of Bai and Perron tends to produce biased break times in the case of long memory. The experiment also reveals that the proposed test has a more stable size than the Bai and Perron test. The proposed test is applied to two realized volatility data sets of the S&P index and the Korea won-US dollar exchange rate for the past 7 years and finds 2 or 3 breaks, while the Bai and Perron test finds 8 or more breaks.     

Bootstrap forecast intervals for asymmetric volatilities via EGARCH model

Bootstrap forecast intervals are developed for volatilities having asymmetric features, which are accounted for by fitting EGARCH models. A Monte-Carlo simulation compares the proposed forecast intervals with those based on GARCH fittings which ignore asymmetry. The comparison reveals substantial advantage of addressing asymmetry through EGARCH fitting over ignoring it as the conventional GARCH forecast. The EGARCH forecast intervals have empirical coverage probabilities closer to the nominal level and/or have shorter average lengths than the GARCH forecast intervals. The finding is also supported by real dataset analysis of Dow–Jones index and financial times stock exchange (FTSE) 100 index.     

Role of stylized features in constructing better estimators

This article discusses the role played by stylized features of financial time series in constructing better estimators for the model parameters. We study in detail one such estimator for the transition probabilities of a simple regime switching model. The estimator is based on the squared autocovariances of the time series, which has been discussed in several empirical studies of economic and financial time series. The effectiveness of this estimator in improving the estimation accuracy is investigated, using both finite sample and asymptotic computations. We also report simulation results to confirm our findings and to extend our conclusions over a bigger region of the parameter space.     

SROI in the pay for success context: Are they at odds?

The Pay For Success (PFS) and Social Impact Bond (SIB) movements to date have focused heavily on shorter-term outcomes that can be monetized and show clear savings to government entities. In part, this focus derives from the need to specify contract payments based on a narrow set of well measured outcomes (e.g., avoided days in jail and foster care, decreased use of behavioral health services). Meanwhile efforts to measure the social return on investment (SROI) of interventions have sought to expand the view of relevant outcomes to include domains that lend themselves less clearly to monetization. This paper explores the intersection between these two movements with illustrations from a SIB initiative underway focused on homeless families with children in foster care. Challenges and potential for SROI in a third-party payor environment will be discussed as well as opportunities to better leverage the strengths of both types of initiative.