略论我国金融会计风险防范体系的建立

造成金融会计风险的原因有制度因素、体制因素、管理因素、技术因素、人员因素等，金融会计风险防范体系的建立，可以从改进金融企业会计制度、改革现行金融会计管理体制、加强金融会计监督管理和加强金融会计电子化工作等方面入手。     

民营企业规范财务管理应解决的几个问题

规范财务管理对民营企业的发展非常重要。阐述了规范财务管理应解决的几个问题，包括有效协调资本负债关系、明确经营目标、重视资产的流动性管理、处理好纳税和经营的关系、保持经营的连续性、培养和使用管理专业人才等。     

互联网金融发展的国际比较研究

互联网金融的发展源于互联网技术的产业化,欧美发达国家受创新驱动,走在互联网金融发展的前列,但审慎的监管政策和传统金融信息化的发展,使得欧美国家互联网金融行业发展更加趋于理性化,目前近乎处于成熟状态。新兴发展中国家的互联网金融在巨大金融需求的拉动下,近年来得到迅速的发展,但监管政策的滞后和缺失使互联网金融风险事件频发,政府开始加大监管力度。互联网金融的发展增大了传统金融部门的竞争压力,但同时也促进了传统金融的改革和创新化发展。     

Statistical inference and modelling of momentum in stock prices

The following results are obtained, (i) It is possible to obtain a time series of market data {y(t)} in which the fluctuations in fundamental value have been compensated for. An objective test of the efficient market hypothesis (EMH), which would predict random correlations about a constant value, is thereby possible, (ii) A time series procedure can be used to determine the extent to which the differences in the data and the moving averages are significant. This provides a model of the form y(t)-y(t-l)=0.5{y(t- l)-y(t-2)}+ε(t)+0.8ε(r-1) where ε(t) is the error at time t, and the coefficients 0.5 and 0.8 are determined from the data. One concludes that today's price is not a random perturbation from yesterday's; rather, yesterday's rate of change is a significant predictor of today's rate of change. This confirms the concept of momentum that is crucial to market participants. (iii) The model provides out-of-sample predictions that can be tested statistically. (iv) The model and coefficients obtained in this way can be used to make predictions on laboratory experiments to establish an objective and quantitative link between the experiments and the market data. These methods circumvent the central difficulty in testing market data, namely, that changes in fundamentals obscure intrinsic trends and autocorrelations. This procedure is implemented by considering the ratio of two similar funds (Germany and Future Germany) with the same manager and performing a set of statistical tests that have excluded fluctuations in fundamental factors. For the entire data of the first 1149 days beginning with the introduction of the latter fund, a standard runs test indicates that the data is 29 standard deviations away from that which would be expected under a hypothesis of random fluctuations about the fundamental value. This and other tests provide strong evidence against the efficient market hypothesis and in favour of autocorrelations in the data. An ARIMA time series finds strong evidence (9.6 and 21.6 standard deviations in the two coefficients) that the data is described by a model that involves the first difference, indicating that momentum is the significant factor. The first quarter's data is used to make out-of-sample predictions for the second quarter with results that are significant to 3 standard deviations. Finally, the ARIMA model and coefficients are used to make predictions on laboratory experiments of Porter and Smith in which the intrinsic value is clear. The model's forecasts are decidedly more accurate than that of the null hypothesis of random fluctuations about the fundamental value.     

基于灰色聚类分析的风险评价方法研究——以江苏民间资本进入金融领域风险评价为例

运用灰色系统理论,结合AHP方法,建立灰色聚类分析模型,对风险进行评价,并以江苏民间资本进入金融领域风险评价为例进行研究.结果表明,民间资本进入金融领域的风险属于高风险范畴,其中进入风险中的产业风险和社会风险属于高风险,信用风险属于较高风险,政治风险属于中等风险.并针对上述风险的等级,提出了相应的政策建议.模型具有一定的实用价值,它对于正确认识民间资本进入金融领域的风险和有针对性地制定相应的政策措施具有一定的理论和现实意义.     

Likelihood Inference under Generalized Hybrid Censoring Scheme with Comp eting Risks

Statistical inference is developed for the analysis of generalized type-II hybrid censoring data under exponential competing risks model. In order to solve the problem that approximate methods make unsatisfactory performances in the case of small sample size, we establish the exact conditional distributions of estimators for parameters by conditional moment generating function(CMGF). Furthermore, confidence intervals(CIs) are constructed by exact distributions, approximate distributions as well as bootstrap method respectively, and their performances are evaluated by Monte Carlo simulations. And finally, a real data set is analyzed to illustrate all the methods developed here.     

Complex dynamics in equilibrium asset pricing models with boundedly rational,heterogeneous agents

We study a simple model based upon the Lucas framework where heterogeneous agents behave rationally in a fully intertemporal setting but do not know other investors' personal preferences, wealth or investment portfolios. As a consequence, agents initially do not know the equilibrium asset pricing function and must make guesses, which they update via adaptive learning with constant gain. We demonstrate that even in this simple environment the economy can, depending on parameters, exhibit either stable convergence to equilibrium, or chaotic dynamical behavior of asset prices and trading volume without converging to the rational expectations equilibrium of the Lucas model. This contradicts the assertion that the Lucas model is stable in the face of modest deviations from the strong assumptions required to compute the equilibrium. © 2013 Wiley Periodicals, Inc. Complexity 19: 38–55, 2014     

咸丰至光绪初年河南的军饷负担

咸丰(1851—1861年)至光绪(1875—1908年)初年,河南承担的军饷大致分为两个阶段,前一阶段主要承担的是清军"围剿"太平军、捻军的军饷,后一阶段则是左宗棠西征和西北、东北的军饷,其总量远远超过了河南经济的承载力。     

新制度下完善高等学校举债机制的路径选择

随着高等学校办学经费来源多元化，举债办学以及债务管理日益成为高校财务管理重要工作之责。研究新高等学校财务制度和会计制度有关债务管理规范，并提出完善高校举债机制的路径，有利于创新高校财务管理体系，提高综合财务管理水平和能力，构建现代法治大学体系，保障和促进高等教育健康发展。     

保险理财产品分析

随着经济的日益发展,理财成为我们获得财富的必然手段。在解释理财概念的基础上,阐述了保险理财的必要性,并从保障性、安全性、收益性等方面,分析和总结了保险理财产品的优势。