关于高校"两课"教学改革的思考

高等学校思想政治理论课承担着对大学生进行系统的马克思主义理论教育的任务,是对大学生进行思想政治教育的主渠道。充分发挥思想政治理论课的作用。用马克思列宁主义、毛泽东思想、邓小平理论和“三个代表”重要思想武装当代大学生,是党的教育方针的具体体现,是社会主义大学的本质特征,是党和国家事业长远发展的根本保证。     

基于作业成本法的高校教学成本计算模式构建研究

本文在论述作业成本法应用于高校教学成本计算的可行性基础上,针对高校教学管理各环节及费用发生的一般特点,分析了作业成本动因与选择,构建了基于作业成本法的高校教学成本计算模式,以其为推动高校教育成本核算体制的建立和财务成本管理水平的提高提供借鉴与参考。     

中国银行业不良资产证券化信用风险评价研究

本文首先论述了国际通用的各信用风险模型的适用条件，提出改进的KMV模型作为度量我国不良资产证券化信用风险的模型。同时，提出了计算其违约概率的方法。然后根据我国不良资产的实际情况，建立了一个具有普遍性的模拟的不良资产包，分析其证券化中各个不同发债规模下的信用风险，得出其资产变现收入在对数正态分布下和真实分布中的违约概率，为我国不良资产证券化的风险控制在一定程度上提供了理论依据和技术支持。     

试论应对国外反倾销的会计策略

我国已连续多年成为世界反倾销的目标国,而且在反倾销诉讼案中胜诉率不高,这其中有法律、国际贸易等方面的因素,但在应对反倾销诉讼中没有充分发挥会计应有的作用是其重要原因。本文在阐述倾销的涵义、认定标准和欧美国家对市场经济地位认定的基础上,从规避反倾销起诉和应对反倾销调查方面,提出会计对策为反倾销提供支持。     

The new logic of Japan's young generations

Through daily use of computer games and advanced cartoonized learning, the lower teen generation in Japan has developed an unprecedented ability for instantaneous contextual gestalt-based decision making and high-speed multidimensional simultaneous thinking. This is a radical departure from the sequential logic of older generations. This is a conclusion we can reach after examining the voluminous data available from a new research institute in Japan. The data also indicate that the young adult generation has developed unique strategies of life, which are fascinating but difficult to understand in the framework of our traditional logic but make sense as a transition to the logic of the lower teen generation.     

Industrial life cycles and learning curves: Interaction of marketing and production

The price-oriented experience curve has been widely utilized as a model to design marketing strategies. Yet, it is cost over which many firms exercise the most control. This article explores the cost-oriented learning curve in conjunction with the product life cycle model as joint strategy constructs. Implications of variations in the learning curve parameters are examined.     

Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.     

Structural holes and hedge fund return comovement: evidence from network-connected stock hedge funds in China

Using data from a new hedge fund database, we examine the impact of social networks on the return comovement of stock hedge funds in China. We use structural holes in the college alumni networks of managers to measure the managers’ social network positions. We perform an empirical analysis on a sample of 3,012 hedge fund products in China from 2010 to 2017. We find that greater structural holes are associated with higher return comovement. The positive impact of the structural holes on return comovement is not affected by market cycles, a manager's major in college, or his or her abilities.