模拟商业抵押贷款的信用利差

IF 1.3 Q3 BUSINESS, FINANCE Journal of European Real Estate Research Pub Date : 2022-05-10 DOI:10.1108/jerer-04-2021-0022
S. Tsolacos, Nicole Lux
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Using an exclusive database of loan portfolios in the United Kingdom (UK), the panel analysis enables the authors to analyse and quantify the impact of a number of theory-consistent and plausible factors determining the cost of lending to commercial real estate (CRE), including type and origin of lender, loan size, loan to value (LTV) and characteristics of asset financed – type, location and grade.FindingsSpreads on commercial mortgages and, therefore, loan pricing differ by the type of lender – bank, insurance company and debt fund. The property sector is another significant risk factor lenders price in. The LTV ratio has increased in importance since 2012. Prior to global financial crisis (GFC), lenders made little distinction in pricing different LTVs. Loans secured in secondary assets command a higher premium of 50–60bps. The analysis establishes an average premium of 35bps for loans advanced in regions compared to London. 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引用次数: 0

摘要

目的对影响商业抵押贷款信用利差的因素进行实证研究。它扩展了商业抵押贷款定价方面的现有工作。作者研究了一系列因素对贷款定价的相对重要性,这些因素是贷款人、资产和贷款特定的。本研究探讨并量化了商业抵押贷款利差差异的来源。本文对该主题的有限文献做出了贡献,并为商业房地产贷款的价格发现提供了服务。它提供了一个框架,将实际定价与基于基本面的贷款息差估计进行比较。设计/方法/方法采用面板分析来检查商业抵押贷款利润率和信贷利差的横截面和时间序列决定因素。使用英国(UK)贷款组合的独家数据库,面板分析使作者能够分析和量化一系列理论一致且合理的因素对商业房地产(CRE)贷款成本的影响,包括贷款人的类型和来源,贷款规模,贷款价值比(LTV)以及融资资产的特征-类型,位置和等级。研究发现,商业抵押贷款的息差和贷款定价因贷款机构的类型(银行、保险公司和债务基金)而异。房地产行业是贷款机构计入价格的另一个重要风险因素。自2012年以来,LTV比率的重要性有所上升。在全球金融危机(GFC)之前,贷方对不同的ltv定价几乎没有区别。二级资产担保贷款的溢价更高,为50 - 60个基点。分析显示,与伦敦相比,各地区预付贷款的平均溢价为35个基点。在后全球金融危机时代,伦敦被视为贷款风险较低的地区。研究的局限性/意义本研究考虑了贷款人的特点和不断变化的监管在商业抵押贷款定价中的作用,并提供了一个框架来研究这个市场中的价差或定价,这可能包括额外的基本影响,如个人贷款的条款。此类研究的最终目的是评估抵押贷款的定价是否正确,并发现实际贷款息差低于基于基本面的息差所产生的风险,这表明定价紧张和过度放贷。实际意义该分析为确定贷款成本的贷款人标准提供了证据。该研究证实,监管差异会影响贷款定价。监管的影响在LTV的重要性增加中最为明显。从这个意义上说,监管在限制高杠杆率贷款方面是有效的。原创性/价值本文利用商业抵押贷款组合的数据库,使贷款定价对不同类型的贷方和借款人更加透明。贷款人可以利用这些估算来评估商业贷款的定价是否公平。借款人更好地理解了影响利润率的风险因素的相对重要性,以及他们被收取的价格。本文的结果对监管机构有价值,因为它们可以帮助理解贷款利润率的决定因素,并衡量贷款市场的状况。
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Modelling credit spreads on commercial mortgage loans
PurposeThis paper offers empirical evidence on factors influencing credit spreads on commercial mortgage loans. It extends existing work on the pricing of commercial mortgage loans. The authors examine the relative significance of a range of factors on loan pricing that are lender, asset and loan specific. The research explores and quantifies the sources of spread differentials among commercial mortgage loans. The paper contributes to a limited literature on the subject and serves the purpose of price discovery in commercial property lending. It offers a framework to compare actual pricing with fundamental-based estimates of loan spreads.Design/methodology/approachPanel analysis is deployed to examine the cross-section and time-series determinants of commercial mortgage loan margins and credit spreads. Using an exclusive database of loan portfolios in the United Kingdom (UK), the panel analysis enables the authors to analyse and quantify the impact of a number of theory-consistent and plausible factors determining the cost of lending to commercial real estate (CRE), including type and origin of lender, loan size, loan to value (LTV) and characteristics of asset financed – type, location and grade.FindingsSpreads on commercial mortgages and, therefore, loan pricing differ by the type of lender – bank, insurance company and debt fund. The property sector is another significant risk factor lenders price in. The LTV ratio has increased in importance since 2012. Prior to global financial crisis (GFC), lenders made little distinction in pricing different LTVs. Loans secured in secondary assets command a higher premium of 50–60bps. The analysis establishes an average premium of 35bps for loans advanced in regions compared to London. London is particularly seen a less risky region for loan advancements in the post-GFC era.Research limitations/implicationsThe study considers the role of lender characteristics and the changing regulation in the pricing of commercial mortgage loans and provides a framework to study spreads or pricing in this market that can include additional fundamental influences, such as terms of individual loans. The ultimate aim of such research is to assess whether mortgage loans are correctly priced and spotting risks emanating from actual loan spreads being lower than fundamental-based spreads pointing to tight pricing and over-lending.Practical implicationsThe analysis provides evidence on lender criteria that determine the cost of loans. The study confirms that differences in regulation affect loan pricing. The regulatory impact is most visible in the increased significance of LTV. In that sense, regulation has been effective in restricting lending at high LTV levels.Originality/valueThe paper exploits a database of a commercial mortgage loan portfolio to make loan pricing more transparent to the different types of lender and borrowers. Lenders can use the estimates to assess whether commercial loans are fairly priced. Borrowers better understand the relative significance of risk factors affecting margins and the price they are charged. The results of this paper are of value to regulators as they can assist to understand the determinants of loan margins and gauge conditions in the lending market.
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7.70%
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18
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