医学类专业学分制人才培养方案的改革与实践

本文介绍了泸州医学院新一轮学分制培养方案的特点,并讲述了从2004年第一次试行学分制到现在,学校对人才培养方案所做的改革和实践。     

信用社小额信用贷款的经济学分析

本文对信用社小额信用贷款在抵押担保方式和政府职能定位方面较传统信贷方式所具有的创新性进行了分析，并进一步指出并分析了信用社小额信用贷款所存在的缺乏内生增长机制和难以做到规范化运作两大问题。     

关于学分制条件下实行导师制管理的几点思考

从作为学分制导师的切身实践出发，介绍了长春大学学分制教学管理模式下实行导师制管理的基本内容、运行现状、存在问题及如何做好导师工作的对策思路。     

日用英文词语在国际经贸实务中的术语化

术语是特定学科或特定使用范围内具有准确限定意义的单词及各种短语。随着社会经济和科技的发展,海量的国际经贸术语仍然有增无已,它们是国际经贸领域各学科基本概念的载体和全球市场交流的重要元素。为掌握较困难的术语,可联系它在日用词语中最切近的等值词义,反过来再通过经贸实务语境理解其专门用法,即理出从日用英语词语到专业术语的＂词义衍进＂线索。这比在孤立、机械地记忆术语的基础上去大量阅读能获得更好的效果。现择经贸实务中最常用的一些词语讨论如下。     

股票质押贷款业务的贷款价值比率

确定合适的质押股票贷款价值比率能够使银行有效地缓释股票质押贷款业务的信用风险。沿着简化式思路，本文综合考虑了外生的借款人违约概率，质押股票的价格波动率，贷款的周期和盯市频率等因素的影响,为银行在保持风险容忍水平一致的情况下确定特定股票质押贷款业务的相应贷款价值比率提供了一个基本模型。针对股票质押贷款的现状。本文还将借款人违约随机、清算延迟和有流动性风险的情况引入基本模型中进行了拓展研究。     

A multiple intelligent agent system for credit risk prediction via an optimization of localized generalization error with diversity

Company bankruptcies cost billions of dollars in losses to banks each year. Thus credit risk prediction is a critical part of a bank＇s loan approval decision process. Traditional financial models for credit risk prediction are no longer adequate for describing today＇s complex relationship between the financial health and potential bankruptcy of a company. In this work, a multiple classifier system （embedded in a multiple intelligent agent system） is proposed to predict the financial health of a company. In our model, each individual agent （classifier） makes a prediction on the likelihood of credit risk based on only partial information of the company. Each of the agents is an expert, but has limited knowledge （represented by features） about the company. The decisions of all agents are combined together to form a final credit risk prediction. Experiments show that our model out-performs other existing methods using the benchmarking Compustat American Corporations dataset.     

银企信贷重复博弈的模型分析

银企关系的稳定与否最终体现在信贷关系上，在信息不对称的前提下，基于企业对其声誉的考虑，本文论述了银企信贷重复博弈的理性选择路径，从而最大限度地预防和解决银企单次信贷博弈的负面作用和影响。     

Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation

In this study, a novel hybrid intelligent mining system integrating rough sets theory and support vector machines is developed to extract efficiently association rules from original information table for credit risk evaluation and analysis. In the proposed hybrid intelligent system, support vector machines are used as a tool to extract typical features and filter its noise, which are different from the previous studies where rough sets were only used as a preprocessor for support vector machines. Such an approach could reduce the information table and generate the final knowledge from the reduced information table by rough sets. Therefore, the proposed hybrid intelligent system overcomes the difficulty of extracting rules from a trained support vector machine classifier and possesses the robustness which is lacking for rough-set-based approaches. In addition, the effectiveness of the proposed hybrid intelligent system is illustrated with two real-world credit datasets.     

论我国会计诚信危机及化解

针对全球范围内爆发的会计诚信危机,探讨了我国会计诚信危机产生的原因,并提出了化解的策略.     

基于信用风险和流动性风险的银行市场结构对银行市场均衡的影响模型

借鉴Lucchetta提出的银行市场结构表示方法和研究思路,在假设信用风险和流动性风险都是不由银行自身决定的外生变量的条件下,以信用风险和流动性风险的不同组合表征银行市场结构,以自身收益最大化为银行决策目标,建立恰当的数学模型从理论上研究银行市场结构对银行市场均衡的影响。研究结果表明,在以信用风险和流动性风险度量的任何集中度的银行市场中,都既存在使银行市场运行良好的市场结构,也存在使银行市场体系崩溃的市场结构;当银行市场结构变量位于某个区间时,不同的流动性风险分布和不同的银行集中度将对银行市场均衡产生显著不同的影响。要使银行市场体系持续健康运行,就必须保持合理的银行市场结构。