中国股市非对称的波动性实证研究

关于金融资产收益的非对称的波动性,许多学者用GARCH类模型对低频数据进行了研究,而从高频数据及流动性分组角度进行考察的较少。文章以上证A股的5分钟高频数据为研究对象,在流动性分组的基础上,分析股票波动的非对称性。实证结果表明,对流动性好的股票而言,好消息增大波动性,坏消息减小波动性;而对流动性差的股票而言,好消息减小波动性,坏消息增大波动性。     

Coordinated responsiveness for volatile toy supply chains

Demands for innovative products in short selling windows are highly unpredictable. This volatility creates demands with dramatic peaks and troughs due to risk-avoidance behaviours among manufacturers and retailers. The consequences are high obsolete inventory, lost sales, and markdowns. Theoretically, the concepts of quick response and postponement are among the potential solutions for such as a volatile and seasonal toy supply chain. This study explores the role of responsiveness and coordination in improving supply chain performance. It is based on an in-depth case study in a European toy supply chain. Consumer and retailer demand patterns and their implications to the manufacturer's supply chains are analysed. Opportunities for relocating order penetration points (OPP) and quick response are simulated, and appropriate relocation rules are established. It is concluded that OPP relocation and responsiveness are beneficial but inadequate in improving the supply chain. Coordination of ordering behaviours is necessary. Coordination processes to achieve greater performance between the toy manufacturer and two of its retailers are presented. Furthermore, the concept of ‘coordinated responsiveness’ is proposed, which combines the concepts of quick response, accurate response and coordination.     

中国大豆期货收益GARCH效应的实证研究

文章研究了中国大连商品交易所大豆期货连续合约1994-2003年收益时间序列,并以该序列2003年第一个样本数据为分界点,建立了两子序列,分别进行了统计学分析,发现两子序列分布均是非正态的,较正态分布有尖峰厚尾的特征,具有记忆效应。并且,进一步根据两子序列的波动集群性建立一系列GARCH模型,对中国大豆期货的两个收益序列的波动性进行分析,并比较了二者的异同。     

Educational Attainment and the Cyclical Sensitivity of Employment

This article examines whether there are educational premiums on the quantity side of the labor market. We document four findings: (1) Trend employment patterns shifted for most educational levels post-1977; (2) the lower the level of educational attainment, the more volatile the employment ratio; (3) the volatility of employment for female high school dropouts increased over time even as the economy became less volatile; and (4) since 1984, the responses of skilled and unskilled employment to the business cycle have become more alike. This latter finding is consistent with a reduced degree of capital-skill complementarity during this period.     

Likelihood-Based comparison of stable paretian and competing models: Evidence from daily exchange rates

Considering alternative models for exchange rates has always been a central issue in applied research. Despite this fact, formal likelihood-based comparisons of competing models are extremely rare. In this paper, we apply the Bayesian marginal likelihood concept to compare GARCH, stable, stable GARCH, stochastic volatility, and a new stable Paretian stochastic volatility model for seven major currencies. Inference is based on combining Monte Carlo methods with Laplace integration. The empirical results show that neither GARCH nor stable models are clear winners, and a GARCH model with stable innovations is the model best supported by the data.     

Fuzzy Autoregressive Rules: Towards Linguistic Time Series Modeling

Fuzzy rule–based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their interactions with other components have also contributed to a huge development in their identification and estimation procedures. In this article, we present fuzzy rule–based models, their links with some regime-switching autoregressive models, and how the use of soft computing concepts can help the practitioner to solve and gain a deeper insight into a given problem. An example on a realized volatility series is presented to show the forecasting abilities of a fuzzy rule–based model.     

Inference for a Class of Stochastic Volatility Models Using Option and Spot Prices: Application of a Bivariate Kalman Filter

In this paper Bayesian methods are applied to a stochastic volatility model using both the prices of the asset and the prices of options written on the asset. Posterior densities for all model parameters, latent volatilities and the market price of volatility risk are produced via a Markov Chain Monte Carlo (MCMC) sampling algorithm. Candidate draws for the unobserved volatilities are obtained in blocks by applying the Kalman filter and simulation smoother to a linearization of a nonlinear state space representation of the model. Crucially, information from both the spot and option prices affects the draws via the specification of a bivariate measurement equation, with implied Black–Scholes volatilities used to proxy observed option prices in the candidate model. Alternative models nested within the Heston (1993) framework are ranked via posterior odds ratios, as well as via fit, predictive and hedging performance. The method is illustrated using Australian News Corporation spot and option price data.     

GARCH-Type Models and Performance of Information Criteria

This article discusses the ability of information criteria toward the correct selection of different especially higher-order generalized autoregressive conditional heteroscedasticity (GARCH) processes, based on their probability of correct selection as a measure of performance. Each of the considered GARCH processes is further simulated at different parameter combinations to study the possible effect of different volatility structures on these information criteria. We notice an impact from the volatility structure of time series on the performance of these criteria. Moreover, the influence of sample size, having an impact on the performance of these criteria toward correct selection, is observed.     

人民币汇率水平变动和波动对中美出口价格的传递效应研究

 本文利用2001年1月至2010年12月中美的双边数据,在HS细分商品层面上研究了人民币对美元汇率水平变动和波动对中国向美国出口价格的影响。结果显示：人民币对美元汇率水平变动对不同类别商品出口价格的影响存在较大差异,人民币汇率水平升值对占中美贸易不平衡85%以上的HS16、HS20和HS11等三大类商品出口的调节作用非常有限。人民币对美元汇率波动对多数商品出口价格的影响为负,不过影响都比较小,因此,可以适当扩大人民币汇率的波动区间增加汇率弹性,培养企业的抗风险能力和竞争力,提高宏观经济运行的灵活性。     

中国高龄人口死亡率随机波动趋势分析

本文采用1996-2010年国家统计局公布的死亡率数据,以70岁男性人口作为高龄人口的代表,基于中国人口死亡率数据较少的特点,突破了传统Lee-Carter模型的框架,直接从死亡率改善产生的原因入手,采取Monte Carlo方法建立中国高龄人口死亡率随机波动趋势模型。通过对不同死亡率改善原因进行组合,从中选取最优模型来探究死亡率的随机趋势性与波动性的关系,更好的克服了死亡率普遍被低估的事实,使得对未来死亡率的预测更加准确与稳妥。