中国硬麦期货价格的波动性实证研究

针对期货合约数据处理的困难，论文提出一种新的合约连续数据处理方法，对2002年1月～2 004年8月中国硬麦期货数据进行处理，并采用TARCH模型，按照距离到期日时间的不同对价 格波动性进行研究。结果表明，不同交易时段的硬麦期货价格波动存在差异,进一步表明成 交量是价格波动和引起差异的主要原因     

影响力交易罪探讨

影响力交易罪是<联合国反腐败公约>中规定的一种罪名,它具有交易主体的广泛性、交易行为的多样性、交易的双向性与惩罚的双向性、交易的隐蔽性等特征,影响力交易罪是行为犯,存在未遂状态,法人也可以构成影响力交易罪.建议在我国刑法中规定影响力交易罪.     

“一股独大”与盈余管理实证研究

文章以中国所有2002年12月31目前上市的1133个A股上市公司3年间的3 399个观测值为样本,对股权结构与盈余管理之间的关系进行实证研究.结果表明,第一大股东持股比例与盈余管理大小成U型关系,国有股比例和流通股比例与盈余管理大小关系不显著,法人股比例与盈余管理大小关系显著.     

Acceptance,obedience and resistance: Children's perceptions of street trading in Nigeria

Street trading is an under-researched form of child labour. This study explores experiences of children aged 10–15 in Nigeria, using interviews and focus groups. Children largely accepted the need to contribute economically to the family, as well as their own school expenses. Trading was demanding, and there were hidden costs, such as reduced school attendance, but an emphasis on obedience made challenge difficult. Children felt resistance, but knowledge of their rights did not support acting on these feelings. Accounts demonstrated the difficulties of living at the intersection of competing constructions of childhood.     

可再生能源配额制下的电力市场优化策略研究

文章基于一般均衡理论,结合电力市场和绿色证书交易市场的特点,构建了发电厂商之间的斯坦科尔伯格模型。运用系统动力学理论,分析了绿色证书交易对电力市场的影响机理。在此基础上,利用Vinsim软件仿真模拟绿色证书交易对电力市场的耦合效应。结果表明:(1)可再生能源配额制的实施在电力市场上衍生出了绿色证书交易市场,在绿色证书交易市场上煤电厂商作为需求者,可再生能源厂商作为供给者,为了完成各自的配额目标,实现利润最大化进行证书交易。(2)绿色证书交易市场的有效运行不仅能够降低煤电发电量,而且可以提高可再生能源发电量,从而有效调整电源结构。为了更好地实施可再生能源配额制,政府需要采取相关措施:(1)加大电力体制改革力度,加快建立市场化电价形成机制。(2)设定合理的绿色证书交易市场基础参数,保证绿色证书交易的正常运行。(3)鼓励发电厂商进行技术创新,提高成本优势增强市场竞争力。     

排污权二级交易市场建设的必要性研究

排污权二级交易市场是对排污权交易体系的完善。本文比较了排污标准、排污费和可交易的排污权在解决环境污染外部性的效率，认为可交易的排污权结合了排污标准的数量可控优势，排污费的企业成本节约优势，在信息不充足的情况下，能更有效地实现减排的目标。探讨了在二级市场的建设中，以市场机制为主导，能弥补初级市场政府为主导所导致的弊端，有利于保证市场主体的自主性，体现市场过程的趋利性，实现市场关系的平等性，彰显市场环境的开放性和实现市场活动的竞争性，并导致市场结果最终分化。     

Consumption benefits and gambling: Evidence from the NCAA basketball betting market

The utility of gambling model posits that consumption benefits lead rational agents to gamble when faced with negative expected financial returns. We analyze the determinants of bet volume and dollars bet on NCAA basketball games from three on-line sports books to test the predictions of this model. Betting action depends on television coverage, team quality, and the expected closeness of the contest. Our results support the notion that consumption benefits, not financial gain, motivate gambling. Preferences of bettors appear similar to those of sports fans, suggesting that models of gamblers as wealth-maximizing investors may not explain observed betting behavior.     

我国的融资租赁及其会计处理

现代市场经济社会中 ,很多企业都存在资金不足的问题。企业要想在激烈的竞争中获胜 ,解决资金不足的问题非常重要 ,其中融资租赁是一种较好的筹资渠道。     

对建设工程竣工结算核对工作的探析

工程项目竣工结算审核是竣工结算阶段一项重要技术经济工作。经审核的竣工结算是核定工程造价的依据,也是工程项目验收后核定新固定资产价值的依据。做好建设工程竣工结算的审核工作,能有效地控制工程造价,节省建设项目资金,保证建筑产品的价值真实性。     

Robust estimation of the mean vector for high-dimensional data set using robust clustering

The first step in statistical analysis is the parameter estimation. In multivariate analysis, one of the parameters of interest to be estimated is the mean vector. In multivariate statistical analysis, it is usually assumed that the data come from a multivariate normal distribution. In this situation, the maximum likelihood estimator (MLE), that is, the sample mean vector, is the best estimator. However, when outliers exist in the data, the use of sample mean vector will result in poor estimation. So, other estimators which are robust to the existence of outliers should be used. The most popular robust multivariate estimator for estimating the mean vector is S-estimator with desirable properties. However, computing this estimator requires the use of a robust estimate of mean vector as a starting point. Usually minimum volume ellipsoid (MVE) is used as a starting point in computing S-estimator. For high-dimensional data computing, the MVE takes too much time. In some cases, this time is so large that the existing computers cannot perform the computation. In addition to the computation time, for high-dimensional data set the MVE method is not precise. In this paper, a robust starting point for S-estimator based on robust clustering is proposed which could be used for estimating the mean vector of the high-dimensional data. The performance of the proposed estimator in the presence of outliers is studied and the results indicate that the proposed estimator performs precisely and much better than some of the existing robust estimators for high-dimensional data.