银行不良贷款违约损失率结构特征研究

本文对中国银行业面临的信用风险违约损失率(LGD)展开研究,以温州某商业银行不良贷款数据为样本,通过描述性统计,对LGD的结构特征:信用风险暴露规模特征、期限特征、地域特征以及担保特征等进行了详细分析。结果表明LGD与风险暴露规模呈负相关,LGD与贷款期限呈正相关,不同地域、不同担保方式的违约贷款其LGD差异性显著。以上这些结论可为商业银行信用风险管理、信贷投放导向以及信用风险监管提供现实帮助。     

中国信用体系建设中的个人信用模糊评估

个人信用体系建设是中国信用制度建设的主要内容之一，个人信用评估是个人信用体系建设的主要应用领域。在信用评分模型和基于先验审批规则法基础上建立起来的模糊推理系统，充分利用了业内人员多年积累的从业经验，是适合我国实际情况的个人信用评估方式。在我国个人信用数据积累到一定程度和一定时期之后，这些数据既可以与专家经验互相补充用于生成模糊推理规则，也可以对模糊推理系统进行检验和修正。     

转贷政策下政府信用异化研究

表面上看,中央财政实行国债转贷,似乎仅仅是国债投资资金运作方式的改变,但是,只要对这一政策作理论和实践上的深入分析,就会发现:转贷政策在改变政府信用资金运作方式的同时,还引发了一些值得深入研究和讨论的制度性异化问题。     

农村信用合作社经营性风险因素探究

农村信用合作所具有的资金规模小、专业特色强、地域性经营等特点，使农信社面临着资本保障不足、融资能力不强、运营成本高等经营性风险因素，要防范和化解这些风险因素，就必须改革农村信用社的经营管理体制，加强业务监管，并给予必要的政策扶持。     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

Strategic freedom, constraint, and symmetry in one-period markets with cash and credit payment

Summary. In order to explain in a systematic way why certain combinations of market, financial, and legal structures may be intrinsic to certain capabilities to exchange real goods, we introduce criteria for abstracting the qualitative functions of markets. The criteria involve the number of strategic freedoms the combined institutions, considered as formalized strategic games, present to traders, the constraints they impose, and the symmetry with which those constraints are applied to the traders. We pay particular attention to what is required to make these strategic market games well-defined, and to make various solutions computable by the agents within the bounds on information and control they are assumed to have. As an application of these criteria, we present a complete taxonomy of the minimal one-period exchange economies with symmetric information and inside money. A natural hierarchy of market forms is observed to emerge, in which institutionally simpler markets are often found to be more suitable to fewer and less-diversified traders, while the institutionally richer markets only become functional as the size and diversity of their users gets large.Received: 5 June 2003, Revised: 18 November 2003, JEL Classification Numbers: C7, G10, G20, L10, D40, D50. Correspondence to: Eric SmithEric Smith, Martin Shubik: We are grateful to Lloyd Shapley, Duncan Foley, and Doyne Farmer for discussions in the course of this work.     

Inter-enterprise arrears in economies in transition

In the context of economies in transition, the paper argues that an excessive liquidity squeeze could throw the economy into a persistent state of low economic activity. In such bad equilibrium, enterprise transactions become largely demonetized, with a chain of arrears, a form of involuntary credit, spreading over the entire system. The empirical analysis of the Romanian experience seems to support the view advanced in the paper.     

Structure,Clearinghouses and Symmetry

We introduce and justify a taxonomy for the structure of markets and minimal institutions which appear in constructing minimally complex trading structures to perform the functions of price formation, settlement and payments. Each structure is presented as a playable strategic market game and is examined for its efficiency, the number of degrees of freedom and the symmetry properties of the structure     

安徽省房地产市场信用建设研究

“以诚实守信为荣,以见利忘义为耻“被列为“八荣八耻“之一.安徽省房地产市场信用建设研究,是社会主义荣辱观大讨论在安徽房地产领域的具体体现.房地产市场信用建设不仅是整顿和规范房地产市场的治本之策,也是落实以人为本的科学发展观的需要和着力建设和谐社会的需要,只有安徽省房地产业整体诚信建设得到提升,才能实现安徽省房地产市场跨越式的发展.本文结合安徽省房地产市场信用建设的实际情况,分析了安徽省房地产市场信用建设存在的主要问题,剖析了造成房地产市场信用缺失的原因,并提出了相应的对策和建议.     

会计计量与企业债券信用评级关系的应用分析——基于2006年新会计准则的思考

企业债券信用评级是企业发行债券的重要步骤,债券评级对会计信息具有依赖性,而会计信息的计量属性会直接影响会计信息,不合适的会计计量属性会对债券评级造成负面影响。本文结合2006年的新会计准则的相关规定和企业债券信用评级的特点,通过分析会计计量对信用评级的误导因素,认为借鉴国际先进经验,可以提高债券评级的可靠性和客观性,促进企业融资市场的公平性和公正性。