Credit variance risk premiums

This paper studies variance risk premiums in the credit market using a novel data set of swaptions quotes on the CDX North America Investment Grade and High-Yield indices. The returns of credit variance swaps are negative and economically large, irrespective of the credit rating class. They are robust to transaction costs and cannot be explained by established risk factors and structural model variables. We also dissect the overall variance risk premium into receiver and payer variance risk premiums. We show that credit variance risk premiums are mainly driven by the payer corridor, which is associated with worsening macroeconomic conditions.     

中国财政政策动态效应的实证分析:1998~2004

本文对中国1998~2004年间实行的积极性财政政策的动态效应进行了实证研究。基于对数据性质的考察,我们选用了结构性VECM模型来研究。在结构性模型中,我们引入了长期约束和短期约束来识别宏观经济变量中的冲击向量,并利用脉冲响应函数和方差分解的方法,对冲击向量的动态效应进行实证研究。模型的实证结果表明,财政支出冲击对总产出具有正向效应而税收收入冲击则具有负向效应,且支出冲击的正效应略大于税收收入的负效应。该结论印证了凯恩斯主义关于财政政策的主要结论。同时实证结果对我国1998年以来的积极财政政策的效果给予了支持:增加财政支出的效应很大程度上被同期税收收入的增长所抵消,财政政策对产出的贡献并不像预期的那么显著。     

新会计准则影响股东权益变化因素的分析

文章针对新会计准则的颁布对股东所有者权益的变化各影响因素进行分析,选取巨潮资讯网、上海证券交易所网站、深圳证券交易所网站等公开披露的国内A股上市公司2006年的年度报告数据,对影响所有者权益变化的15个因素进行了描述性统计、单因素敏感性分析和回归分析,得出在所有的影响因素当中,长期股东权益投资差额对股东权益的变化的影响是显著的。     

Reaffirming the CEO effect is significant and much larger than chance: A comment on Fitza (2014)

A recent study by Fitza argued that the prior estimates of the Chief Executive Officer (CEO) effect are conflated with events outside the CEO's control, are largely the result of random chance, and that the true CEO effect is smaller than has been previously estimated. We suggest that the empirical methodology employed by Fitza to support these claims substantially overstates the “random chance” element of the CEO effect. We replicate Fitza's findings, highlight methodological issues, offer alternative conclusions, and using multilevel modeling (MLM), suggest that his analyses mischaracterize the CEO effect. Copyright © 2016 John Wiley & Sons, Ltd.     

中国 R & D 强度区位分布条件因素的差异分析--基于稳健MM估计的EBA模型的实证研究

依据空间计量经济学的相关理论,运用稳健MM估计的EBA （异常值检验的极值边界分析）模型,采用中国30个省际区域2002～2012年的面板数据,实证研究中国东部、中部、西部地区R&D强度区位分布条件的“稳健性（Robust ）”影响因素。结果表明：我国东部、中部、西部各地区的R&D强度存在差异,且其影响因素也不尽相同。R&D强度较高的东部地区,科技水平、市场规模、固定资产投资、要素禀赋等4个因素对中国R&D强度具有抗干扰的“稳健性”影响;R&D强度中等的中部地区,3个“稳健性”影响因素是政府公共政策、科技水平和要素禀赋;而对于R&D强度较低的西部地区,技术创新和要素禀赋对提高R&D强度作用具有“稳健性”。由此揭示我国R&D强度的发展规律以及各区域间的差异性,并根据实证结论提出一些政策建议,为各地区制定科技政策目标和实施方案提供经验证据和决策参考。     

基于SVAR模型的法定存款准备金率对宏观经济各变量的影响分析

准备金率是央行近年来使用频率最高的货币政策工具,它直接影响货币供应量,间接影响价格水平、利率以及股市。文章通过自回归模型（SVAR）、脉冲响应函数以及方差分解技术考察准备金率对宏观经济变量的影响,结果显示：存款准备金率的变动对三个变量的影响是不同的,其中对M1影响最大,对CPI影响较小,对于股市影响也较小且比较短暂。     

Unrelated question model with two decks of cards

In this paper, we propose a new unrelated question model for estimating the prevalence of a sensitive characteristic within a population by utilizing two decks of cards. The resultant estimator is then compared to its competitors as to efficiency and as to protection of respondents. A real data application analyzing e-cigarette use among college students is considered.     

Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting,incorporating realized measures

This paper extends the joint Value-at-Risk (VaR) and expected shortfall (ES) quantile regression model of Taylor (2019), by incorporating a realized measure to drive the tail risk dynamics, as a potentially more efficient driver than daily returns. Furthermore, we propose and test a new model for the dynamics of the ES component. Both a maximum likelihood and an adaptive Bayesian Markov chain Monte Carlo method are employed for estimation, the properties of which are compared in a simulation study. The results favour the Bayesian approach, which is employed subsequently in a forecasting study of seven financial market indices. The proposed models are compared to a range of parametric, non-parametric and semi-parametric competitors, including GARCH, realized GARCH, the extreme value theory method and the joint VaR and ES models of Taylor (2019), in terms of the accuracy of one-day-ahead VaR and ES forecasts, over a long forecast sample period that includes the global financial crisis in 2007–2008. The results are favorable for the proposed models incorporating a realized measure, especially when employing the sub-sampled realized variance and the sub-sampled realized range.