中小企业投资组合的高低信用风险:来自监管风险等级传播的证据

Jan Nokkala
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引用次数: 0

摘要

目的:中小企业部门信贷风险在金融系统的几个维度的研究中受到关注。中小企业部门的资金主要由金融机构提供,在发达经济体和欠发达经济体中,中小企业部门都是多元化的大型部门。关于评估中小企业作为金融机构(FI)的个人交易对手和中小企业作为投资组合的具体研究已经从理论和实证的角度发展起来。为了补充目前对该领域的研究,我们从金融机构自身风险评估的角度来处理中小企业风险,并将其与中小企业风险评级和衡量与其他交易对手的比较进行比较。设计/方法/方法:我们使用欧洲大型金融机构(包括全球运营的金融机构)公布的风险评级数据,并在机构自己的风险分类系统和风险衡量系统内比较不同风险等级的信贷份额和整体投资组合风险。该数据包括89个可比投资组合,拥有超过2500万信贷。研究结果:我们的研究结果表明,与家庭和大企业相比,中小企业的违约率估计值更高,这表明信贷在投资级别中所占份额较小。与家庭和大公司相比,即使在投机级别内,中小企业的违约估计也更高,因此中小企业的风险进一步上升。一个同样值得注意的发现是,风险计算的另一个相关参数,违约损失(LGD),在中小企业和其他交易对手之间没有差异。在投资组合信贷风险评估中,发现部分中小企业信贷处于低风险状态。研究局限性/影响:数据的覆盖范围和细节仅限于特定的地理覆盖范围,中小企业公司的汇总数据不如单位级数据准确。该数据主要代表欧洲机构,因为它是从在欧洲有总部的机构收集的,这些机构在银行监管的单一规则手册环境中应用巴塞尔监管。在全球范围内,司法管辖区之间或地理区域之间可能存在差异。机构发布的数据是评级等级a的汇总数据,而不是机构用于精确计算的单位级数据。相应地选择了中小企业部门的比较方法,以便将方法应用于类别级别,而不是单元级别的数据。原创性/价值:中小企业的资本要求更高可能会限制融资的价格和可用性。根据我们的研究结果,与同行相比,在没有更高资本要求的情况下,可以分离出低风险的中小企业融资。结果也可用于支持交易对手级别的违约风险模型结果,显示中小企业的风险更高,这可以从投资级信贷的较小份额和投机级信贷的较高违约率中看出。
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High and Low Credit Risk in SME Portfolios: Evidence from Regulatory Risk Grade Dissemination
Purpose: SME sector credit risk has received attention in research from several dimensions of the financial system. SME sector’s funding is mainly supplied by financial institutions and SME sector is both diversified and large sector in both well developed and less developed economies. Specific research on assessing SME as Financial Institution’s (FI’s) individual counterparties and SMEs as portfolios have developed from a theoretical and empirical perspective. To supplement current research on the area, we approach SME risk from perspective of FIs own risk assessments and compare it to how SME risk rating and measurement compares to other counterparties. Design/methodology/approach: We use published risk rating data from large financial institutions in Europe including globally operating FIs and compare shares of credits in different risk grades and overall portfolio risks within an institution’s own risk classification system and risk measurement system. The data consists of 89 comparable portfolios with over 25 million credits. Findings: Our results show that comparison to households and large corporates originates from higher default rate estimates for SME, which shows as smaller share of credits in the investment grade. SME risk is further raised as even within speculative grades SME’s receives higher default estimates in comparison to households and large corporates. An equally notable finding is that the other relevant parameter for risk calculation, loss given default (LGD), does not differ between SME’s and other counterparties. A part of SME credits is found to be in a low-risk regime in portfolio credit risk estimation. Research limitations/implications: Coverage and detail of data restricts to a specified geographical coverage and aggregated data on SME-companies is not as exact as unit level data. The data represents mostly European institutions as it is collected from institutions which have a head quarter in Europe and are applying Basel regulation in a single rule book environment for banking regulation. In a global scopethere may be differences between jurisdictions or between geographical areas. Data published by institutions is an aggregated data on a rating grade level a and not on a unit level data that institutions have for their exact calculations. Comparison methods for SME sector are selected accordingly so that methods apply to class level instead of unit level data. Originality/value: Higher capital requirements for SME’s may restrict the price and availability of finance. According to our results there can be separated a low-risk SME finance without higher capital requirements compared to peers. Results may also be used to support counterparty level default risk model results showing higher risk for SME’s which can be seen in smaller shares of investment grade credits and in a higher default rate for speculative grade credits.
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