债券流动性与违约风险相关性溢价及实证研究

债券的流动性与违约风险都是影响债券溢价的重要因素,然而以往在违约风险最为突出的公司债券定价中却很少考虑两种风险相关性关系的影响,这与发达市场实证经验不符.在已有研究的基础上同时引入两种风险相关性,通过对Copula函数刻画的不同相关性结构情况下公司债券的收益率和风险变化分析,以及对中国短、中、长期公司债券市场数据的实证检验均发现,流动性与违约风险的相关性之间存在显著的正相关性,且对债券利差具有显著的影响和交互作用.     

股市波动率的短期预测模型和预测精度评价

基于幂转换以及不设定扰动项的具体相关结构和分布形式,构建了半参数的短期预测模型来预测中国股市的波动率.模型采用基于极值估计量的两阶段估计法进行估计,估计方法的小样本性质表现良好.此外,还通过具有Bootstrap特性的SPA检验实证比较了新模型与其他6种预测模型的预测精度.实证结果表明,在各种损失函数下,半参数短期预测...     

中国股票市场一体化的时变特征分析

基于B股对境内投资者开放这一标志性事件,采用VECM-DCC-MVGARCH模型,分别从长期和短期考察中国股票市场一体化的时变特征.研究结果表明:B股对境内投资者开放后,市场在长期意义上从完全分割走向部分整合;且A股市场处在信息传递的主导地位,信息的短期传递和吸收日益迅速.     

基于C_TMPV的中国股市高频波动率的跳跃行为研究

运用2000年1月4日至2008年12月31日上证综指每5分钟的高频金融数据,采用核估计量估计中国股市高频波动率序列,运用修正的已实现门阀多次幂变差估计中国股市高频波动率的跳跃序列,实证分析中国股市高频波动率跳跃的各种特征,并运用ACD模型、ACH模型以及扩展的ACH模型进一步分析中国股市高频波动率跳跃的持续期的特征.研究结果表明,中国股市高频波动率及其跳跃都具有集聚的特征,高频波动率发生显著跳跃的比例相当高,高频波动率跳跃的幅度、强度和跳跃幅度的分布都具有时变性,而跳跃对高频波动率的贡献却具有相对稳定性;在样本期,中国股市高频波动率跳跃表现出较强的正相关性,且跳跃的持续期存在较强的长记忆性和周日历效应.     

沪市认购权证与其标的股票价格走势的Granger因果检验

运用G ranger因果检验的方法,检验沪市6只认购权证与其标的股票之间的因果关系。分析结果表明:在大样本条件下,认购权证与其标的股票之间存在单向的G ranger因果关系,权证的价格走势影响其标的股票的价格走势,说明从长期来看,认购权证发挥了其潜在的投资杠杆的作用,其价值发现与风险对冲功能在市场中得到实现;在小样本条件下,认购权证与其标的股票之间不存在显著的G ranger因果关系,表明短期内权证与其标的股票价格走势相互独立,市场中有可能存在对权证投机炒作,人为放大权证的投资风险,使权证背离其正常的投资价值。     

基于系统性风险防范的金融压力测试新理念

宏观审慎管理反映了金融风险管理的未来发展趋势,赋予金融压力测试新的理念。宏观压力测试是实现宏观审慎管理和防范系统性风险的重要工具。为了防范系统性风险,宏观压力测试应重点考虑金融业的顺周期效应、金融机构的资产相关性和系统性金融风险的内生性因素。     

中国粮食生产潜能分析：一个基于“俱乐部 收敛”的视点

我国的粮食单产存在显著的地区差异,不同地区粮食单产的收敛分析有助于预测粮食生产潜能。对1980年至2012年全国30个省区市稻谷、玉米、小麦三种主粮单产数据的收敛分析发现,传统收敛β收敛与σ收敛的分析结果相互冲突,并且与现实不符。而俱乐部收敛分析发现,稻谷单产全国范围内趋于收敛;玉米单产同样在全国范围内收敛;但小麦单产则不存在总体收敛趋势,而是收敛于三个不同的俱乐部。进一步以“俱乐部”内最高单产为参照测算三种主粮历年的生产潜能,预测结果显示,实际产量与潜在产量的差距在不断缩小;三种主粮在2012年的潜在总产量为6.6万亿吨,仍比实际产量高26%;初步估计,未来10—20年之内,三种主粮的增产潜能会保持在10%以上。     

Objective Tests versus Subjective tests

objective test has only one correct answer, while subjective test has a range of possible answers. Because of this feature, reliability will not be difficult to achieve in the marking of the objective item, while the marking of the subjective items is reliable. On the whole, a good test must contain both subjective and objective test items.     

Group sequential monitoring based on the weighted log‐rank test statistic with the Fleming–Harrington class of weights in cancer vaccine studies

In recent years, immunological science has evolved, and cancer vaccines are now approved and available for treating existing cancers. Because cancer vaccines require time to elicit an immune response, a delayed treatment effect is expected and is actually observed in drug approval studies. Accordingly, we propose the evaluation of survival endpoints by weighted log‐rank tests with the Fleming–Harrington class of weights. We consider group sequential monitoring, which allows early efficacy stopping, and determine a semiparametric information fraction for the Fleming–Harrington family of weights, which is necessary for the error spending function. Moreover, we give a flexible survival model in cancer vaccine studies that considers not only the delayed treatment effect but also the long‐term survivors. In a Monte Carlo simulation study, we illustrate that when the primary analysis is a weighted log‐rank test emphasizing the late differences, the proposed information fraction can be a useful alternative to the surrogate information fraction, which is proportional to the number of events. Copyright © 2016 John Wiley & Sons, Ltd.     

Finite-sample Resampling-based Combined Hypothesis Tests,with Applications to Serial Correlation and Predictability

This article suggests Monte Carlo multiple test procedures which are provably valid in finite samples. These include combination methods originally proposed for independent statistics and further improvements which formalize statistical practice. We also adopt the Monte Carlo test method to noncontinuous combined statistics. The methods suggested are applied to test serial dependence and predictability. In particular, we introduce and analyze new procedures that account for endogenous lag selection. A simulation study illustrates the properties of the proposed methods. Results show that concrete and nonspurious power gains (over standard combination methods) can be achieved through the combined Monte Carlo test approach, and confirm arguments in favor of variance-ratio type criteria.