对提高我国金融监管效率与监管创新的思考

防范和化解金融风险 ,是各国金融监管当局的共同课题。但从目前我国金融监管当局监管的实际情况来看 ,金融监管还处于一种低效率的状态 ,存在着许多不足和缺陷。面对加入WTO、金融市场全球一体化的形势 ,要提高我国金融监管效率 ,增强管理风险的能力 ,就必须从完善金融监管的基础和监管创新两方面着手     

从经济价值观角度看西方主流经济学中的效率范畴

从分析西方主流经济学家对效率范畴的界定及对影响经济效率因素的剖析出发 ,文章指出西方主流经济学家对效率范畴的态度和直接向人们推销特定的价值观 :效率第一主义。在市场经济条件下 ,追求经济效率是必要的 ,否则社会难以正常运转。但把追求效率变成效率第一主义 ,在理论上的失足是明显的 ,在实践上则会对个人和社会造成危害。尽管如此 ,西方主流经济学家对提高效率的途径与方法的探讨仍然值得我们借鉴。     

英特泰公司发展“三高”农业遇到的困难及对策

介绍了英特泰公司在发展"三高"农业中遇到的困难,并提出了相应的建议和对策。     

教师职业动机探微

教师职业动机是直接推动教师从事教育教学活动以满足教师某种心理需要的内部心理状态。教师职业动机分为 :职业兴趣、教学效能感、外部目的、职业价值观。外部强化可以激发教师职业动机 ,但应注意外部强化的控制行为功能和提供信息功能的相对强度。     

论犯罪构成的诉讼机能

犯罪构成的阶层性或平面性。不能决定“法庭话语权的平衡”和刑法的人权保障机能。犯罪构成模式能够设置一定的诉讼规则，体现一定的诉讼职能和目标。大陆法系阶层递进式犯罪构成模式，设置的是普通法系的可废除诉讼规则。由于缺乏程序要件的保障，虽然有利于提高司法效率。却有损司法公平，不利于人权保障，不值得借鉴。     

论邓小平的效率公平思想

邓小平所讲的效率以劳动生产率为核心 ;邓小平所讲的公平以经济公平为基础 ;邓小平所讲的效率与公平的关系是效率优先 ,兼顾公平 ;邓小平的效率公平思想是对传统社会主义效率公平观的创新。     

完善庭前民事证据交换制度的建议

举证制度关乎民事诉讼程序的公正、高效与否 ,庭前证据交换是举证制度的关键环节。针对我国现行庭前证据交换制度存在的不足与纰漏 ,结合最高人民法院公布的《关于民事诉讼证据的若干规定》 ,从审判实务的角度阐述了完善证据交换制度的一些设想。     

基于EGARCH模型的我国股市信息对称性研究

利用过去17年我国上证综合指数的历史数据,根据股票市场大的波动周期分五阶段经过EGARCH(1,1)模型估计,以验证市场对信息冲出的反映情况.研究结果表明:中国股市存在很大的波动性,尚未达到弱有效性;存在正负杠杆效应交替出现的现象,表现出信息不对称性,但是这种不对称性在明显减小.     

Shrinkage confidence intervals for the normal mean: Using a guess for greater efficiency

If the unknown mean of a univariate population is sufficiently close to the value of an initial guess then an appropriate shrinkage estimator has smaller average squared error than the sample mean. This principle has been known for some time, but it does not appear to have found extension to problems of interval estimation. The author presents valid two‐sided 95% and 99% “shrinkage” confidence intervals for the mean of a normal distribution. These intervals are narrower than the usual interval based on the Student distribution when the population mean lies in such an “effective interval.” A reduction of 20% in the mean width of the interval is possible when the population mean is sufficiently close to the value of the guess. The author also describes a modification to existing shrinkage point estimators of the general univariate mean that enables the effective interval to be enlarged.     

Improved model selection criteria for SETAR time series models

The purpose of this paper is threefold. First, we obtain the asymptotic properties of the modified model selection criteria proposed by Hurvich et al. (1990. Improved estimators of Kullback-Leibler information for autoregressive model selection in small samples. Biometrika 77, 709–719) for autoregressive models. Second, we provide some highlights on the better performance of this modified criteria. Third, we extend the modification introduced by these authors to model selection criteria commonly used in the class of self-exciting threshold autoregressive (SETAR) time series models. We show the improvements of the modified criteria in their finite sample performance. In particular, for small and medium sample size the frequency of selecting the true model improves for the consistent criteria and the root mean square error (RMSE) of prediction improves for the efficient criteria. These results are illustrated via simulation with SETAR models in which we assume that the threshold and the parameters are unknown.