A semi-parametric method for estimating the beta coefficients of the hidden two-sided asset return jumps

ABSTRACT

We introduce a new methodology for estimating the parameters of a two-sided jump model, which aims at decomposing the daily stock return evolution into (unobservable) positive and negative jumps as well as Brownian noise. The parameters of interest are the jump beta coefficients which measure the influence of the market jumps on the stock returns, and are latent components. For this purpose, at first we use the Variance Gamma (VG) distribution which is frequently used in modeling financial time series and leads to the revelation of the hidden market jumps' distributions. Then, our method is based on the central moments of the stock returns for estimating the parameters of the model. It is proved that the proposed method provides always a solution in terms of the jump beta coefficients. We thus achieve a semi-parametric fit to the empirical data. The methodology itself serves as a criterion to test the fit of any sets of parameters to the empirical returns. The analysis is applied to NASDAQ and Google returns during the 2006–2008 period.     

A new aging concept derived from the increasing convex ordering

In this paper, a comparison between the life distribution of a new unit with that of a used unit in the increasing convex order is made leading to a new class of life distributions which we call “new better than used in convex ordering of second order”. This class includes as subclasses the NBU and the NBUC and is a subclass of the NBUCA class. Preservation properties under convolution, random maxima, mixing and formation of coherent structures are established. Stochastic comparisons of the excess lifetime when the inter-arrival times belong to the NBUC(2) class are developed. Some applications of Poisson shock models and a test of exponentiality against NBUC(2) alternative are presented.     

A股上市首日超额收益影响因素的实证研究

在股权分置改革的背景下,运用多元线性回归模型的加权最小二乘法,对2004年1月1日至2007年12月31日期间发行上市的206只A股的实证研究,发现上市首日股票换手率、筹资规模和市场指数对上市首日超额涨幅具有较显著的影响;而发行价格、发行市盈率、发行前每股净资产、发行后实际流通股比例、发行方式及股权分置改革对A股上市首日超额收益影响不显著。     

技术投资、人力资本积累与我国技术进步缓慢现象研究

通过建立技术进步投资本与人力资本积累投资的分析模型,对我国企业技术进步缓慢现象进行理论与经验分析。结果表明,人力资本与技术进步之间互补形态将依据短边规则决定技术进步速度,但我国相对落后的教育回报影响了人力资本积累的速度,导致企业技术进步缓慢。因此,通过增加投入及深化教育改革等方式为工人提供良好的教育,是促进我国企业技术水平提高的保证。     

行业视角下中国上市公司外汇风险暴露研究——基于事件研究法的经验分析

文章基于事件研究法,通过选取2005年人民币"汇改"及2010年"汇改"重启两次关键事件,考察了其对我国深市13个行业指数外汇风险暴露的影响。结果表明:在"汇改"事件窗口中,13个行业中共11个行业表现出显著的外汇风险暴露,其中交通运输、房地产等行业收益率受到"汇改"事件的正向冲击,而制造业、金融及保险等行业收益率受到负向冲击;而在"汇改"重启事件中,由于汇率波动幅度相对较低、上市公司加强汇率避险等原因,13个行业中仅7个行业表现出外汇风险暴露。     

熊市中我国少数股票暴涨的原因探析--基于2010-2012年沪市涨幅前20名的股票实证分析

利用 Stata12、Excel 软件对2010-2012年熊市中的暴涨股票进行多元回归分析,结果显示：机构投资者在熊市中持股量越大,越有利于暴涨股票获取超额收益;个股换手率越高,流通股数越少,预期市盈率越低,暴涨股票越易于获取超额收益率,对此国家必须加强对股市的监管力度。     

以农民增收为中心，推进社会主义新农村建设

社会主义新农村建设的首要任务在于发展经济,富裕农民。我们务必以科学发展观为指导,从江西实际出发,积极推进农业结构优化与升级,用工业的理念谋划农业发展,深挖农业内部增收潜力;创造农民转移就业的良好制度环境,提高农村劳动力素质,加速新型工业化和新型城镇化进程,通过减少农民,促进农民增收;全面深化农村改革,合理调整国民收入分配格局,大力实施科技兴农战略,加快农民增收长效机制的形成。     

对企业全面预算管理实施效果的经济评价——基于湘钢集团的研究

在全面预算管理方法迅速推广的背景下,对企业全面预算管理实施效果进行经济性评价很有必要。本文以湘钢集团实施的全面预算管理为例,详细介绍了预算管理经济性评价的基本思路和方法,以期对企业加强全面预算管理工作有所帮助,另外,警示企业,全面预算管理并非万能良方。     

中国经济转型期城镇少数民族教育收益率的实证研究

文章分别使用了OLS方法和分位回归技术,考察了1995—2007年间中国城镇少数民族教育收益率的总体水平及其长期变化趋势,并将之与汉族进行了比较,发现在经济转型期,中国城镇居民教育收益率总体上呈逐年上升趋势,少数民族与汉族之间的教育收益率没有显著差异。政策的力量与市场的力量有机结合、相互叠加,是转型时期中国城镇少数民族的地位并没有发生逆转的重要原因。与汉族相同,少数民族的教育收益率随着收入分位点提高而逐渐减小,即收入水平越高,教育收益率越低。     

Construction of bivariate and multivariate weighted distributions via conditioning

Weighted distributions (univariate and bivariate) have received widespread attention over the last two decades because of their flexibility for analyzing skewed data. In this article, we propose an alternative method to construct a new family of bivariate and multivariate weighted distributions. For illustrative purposes, some examples of the proposed method are presented. Several structural properties of the bivariate weighted distributions including marginal distributions together with distributions of the minimum and maximum, evaluation of the reliability parameter, and verification of total positivity of order two are also presented. In addition, we provide some multivariate extensions of the proposed models. A real-life data set is used to show the applicability of these bivariate weighted distributions.