Comparing debt characteristics and LGD models for different collections policies

This paper discusses the similarities and differences in the collection process between in-house and 3rd party collection. The objective is to show that, although the same type of modelling approach to estimating the Loss Given Default (LGD) can be used in both cases, the details will be significantly different. In particular, the form of the LGD distribution suggests that one needs to split the distribution in different ways in the two cases, as well as using different variables. The comparisons are made using two data sets of the collection outcomes from two sets of unsecured consumer defaulters.     

中国货币条件指数构建及与经济增长的实证分析

货币条件指数作为反映一个国家货币政策松紧程度的指标,自1994年由加拿大银行首次提出后,引起了国际社会的普遍关注。本文选取1998年1季度～2011年3季度间共55个季度的实际利率、实际有效汇率、实际信贷规模缺口作为解释变量,选取实际产出与潜在产出之间的缺口作为被解释变量,使用单方程估计法,通过构造总需求曲线,利用最小二乘法计算各解释变量的权重,得出中国的实际货币条件指数。并通过分析对比中国汇率、利率、信贷规模变动与宏观经济增长之间的关系,验证中国实际货币条件指数对实体经济变动的解释能力。     

金融市场化背景下我国信用衍生品的创新研究

在金融市场化的背景下,信用衍生品是一项备受瞩目的金融创新。信用衍生品具有转移信用风险、提高基础资产流动性以及提高资本回报率等功能。基于对信用衍生品市场发展的国际经验的分析,并结合我国在制度框架、现货市场规模、监管及利率基准体系等方面为信用衍生品的创新奠定了必要的现实基础上,提出了我国在加强管理、严防风险的前提下,遵照＂由简到繁、从易到难＂的基本思路推动信用衍生品的创新与可持续发展的构想。     

助学贷款执行难引发的思考——从大学生信用法律制度建设说起

目前我国国家助学贷款的执行阻力重重，大学生信用意识淡漠，拖欠贷款问题突出，信用问题已成为严重制约国家助学贷款工作顺利开展的瓶颈。因此，研究大学生信用问题，建立大学生信用法律制度显得十分重要。     

Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.     

A novel profit cutting mechanism for Chinese Banks: Theory and Multi-dimensional evidence

As China’s macroeconomic growth faces increasing pressure from the global COVID-19 pandemic, a surprising and politically controversial phenomenon has emerged: the profitability of banks in China exceeded that of enterprises and non-financial industries. The People’s Bank of China and regulatory authorities have hence taken measures to incentivize banks to transfer part of their profits to enterprises, with the aim to stabilize enterprises and employment. This paper proposes a novel profit cutting mechanism focusing on loan structure adjustments to address the limitations of the current approach centering on lowering loan interest rates. The theoretical and empirical analysis show, at both the macro and micro level, that an increase in the proportion of credit loans can benefit the development of enterprises without weakening banks’ operating performance in the long term, leading to a Pareto improvement within enterprise-banking sectors. The findings suggest that banks in China should gradually adjust their loan structures by providing greater credit loan access to enterprises, either voluntarily or directed by policy.     

Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach

It is commonly observed that high grade loans with better ratings are often associated with low recoveries if they default (i.e. with relatively high loss-given-default (LGD)). To address the mismatch problem, this paper proposes a credit risk approach by minimizing LGD for higher rated loans as a risk-rating matching standard in the sense that the decreasing LGD from creditors’ perspective is associated with higher credit rating for the borrower. This standard forces customers’ credit rating of each grade to be optimally determined in correspondence to its LGD, which means the LGD of high grade loans tends to be low. The approach is then tested using three credit datasets from China, i.e. credit data from 2044 farmers, 2157 small private businesses and 3111 SMEs. The empirical results show that the proposed approach indeed guides the way to solve the mismatch phenomenon between credit ratings and LGDs in the existing credit rating literature. By optimally determining credit ratings, the findings derived from this paper help provide a valuable reference for bankers, and bond investors to manage their credit risk.     

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。     

信用执法初探

信用执法将适用于信用关系的法律规范经济社会化，成为建立和维护市场经济秩序的基本条件。通过信用执法推动和促进市场经济信用的稳定与成熟。     

Interindustry Linkages: Virtuous and Vicious?

Although overall linkages are steadily increasing in growth processes, em-pirical data supply strong evidence of large intercountry and intertemporal fluctuations of the domestic-to-overall linkages ratio. This paper tries to explain this phenomenon by modelling a producers' behaviour which appears more realistic than that usually assumed in interindustry or computable general equilibrium models. The main novelty of the results is that the same causes that generate interindustry multipliers can also ‘trap’ domestic linkages into reinforcing (‘virtuous’) or weakening (‘vicious’) circles, depending on whether the price competitiveness of domestic activities is above or below a threshold related to the non-price competitiveness of those activities. These results can help to explain the fluctuations of domestic linkages with respect to overall linkages by spatial and temporal shifts of the threshold between the vicious and the virtuous ‘areas’. Moreover, they emphasize the importance of supply policies-mainly R&D policies—because of their ‘pushing down’ effect on this threshold.