Search results

This study examines whether green buildings enjoy more favorable financing terms compared to their non-green counterparts, exploring the presence of a green discount in commercial real estate lending. Despite the extensive research on green premiums on the equity side, lending has received limited attention in the existing literature, even as regulations have increased and ambitious net-zero targets have been set in the banking sector.

In this study, the authors leverage a unique dataset comprising European commercial loan data spanning from 2018 to 2023, with a total loan value exceeding €30 billion. Hedonic regression analysis is used to isolate a potential green discount. Specifically, the authors rely on property assessments conducted by lenders to investigate whether green properties exhibit lower interest rate spreads and higher loan-to-value (LTV) ratios.

The findings reveal the existence of a green discount in European commercial real estate lending, with green buildings enjoying a 5.35% lower contracted loan spread and a 3.92% lower target spread compared to their non-green counterparts. However, this analysis does not indicate any distinct advantage in terms of LTV ratios for green buildings.

This research contributes to a deeper understanding of the interaction between green properties and commercial real estate lending, offering valuable insights for both lenders and investors.

This study, to the best of the authors’ knowledge, represents the first of its kind in a European context and provides empirical evidence for the presence of a green discount.

The paper investigates whether stock liquidity of firms is valued by lending banks revealing that firms with higher liquidity in the capital market pay lower spreads for the loans they obtain. This relationship is causal as evidenced by using the decimalization of tick size as an exogenous shock-to-stock liquidity in a difference-in-differences setting. Reduction in financial constraint and improvement in corporate governance induced by higher stock liquidity are potential mechanisms through which liquidity impacts loan spreads. These higher liquidity firms also receive less stringent nonprice loan terms, for example, longer loan maturity and less required collateral.

The purpose of this paper is to develop a better understanding of the pricing decisions of banks for project finance (PF) loans and the main drivers affecting the cost of debt in infrastructure deals. As infrastructure projects are typically highly leveraged, the cost of bank lending is an important driver of the overall funding costs for the project.

First, the paper provides a general review of the drivers of the cost of funds in PF. Second, the paper develops a regression analysis of the loan’s spread on four categories: project, loan, bank characteristics and the economic environment. By using a new data set of InfraDeals containing data on bank spreads of more than 700 infrastructure projects worldwide from 2006 to 2016.

The results show that the cost of debt is predominantly affected by the market and the business cycle, rather than the structuring of the project. This implicates that the timing when the deal is closed weighs more heavily than the specificities of the project itself.

The results have important policy implications. As PF deals are often paid for by taxpayers, this paper could help policymakers to use public funds for infrastructure in the most efficient way.

One weakness of existing studies in PF loan pricing is that they undervalue the role of the economic environment in the cost of debt. Few studies in the literature include macroeconomic control variables in their model and the others do not seem to find significant results. This paper reveals new insights on the pricing decisions of banks for PF loans.

This paper aims to analyze how banks transmit shocks that hit the debt market to their borrowers. Recent financial crisis demonstrated that the banking system can be a pathway for shock transmission.

Bank-level panel regressions.

This paper shows that when banks experience a shock to the cost of their bond financing, they pass a portion of their extra costs or savings to their corporate borrowers. While banks do not offer special protection from bond market shocks to their relationship borrowers, they also do not treat all of them equally. Relationship borrowers that are not bank-dependent are the least exposed to bond market shocks via their bank loans. In contrast, banks pass the highest portion of the increase in their cost of bond financing to their relationship borrowers that rely exclusively on banks for external funding.

These findings show that banks put more weight on the informational advantage they have over their relationship borrowers than on the prospects of future business with these borrowers. They also show a potential side effect of the recent proposals to require banks to use CoCos or other long-term funding.

The findings are timely, given the ongoing debates on the proposals to introduce bail-in programs and proposals to require banks to use CoCos or other long-term funding.

This 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.

Panel 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.

Spreads 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.

The 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.

The 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.

The 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.

This study aims to analyse the effect of borrower’s countries on syndicated loan spreads, featuring countries according to institutional factors, namely, financial systems and corporate governance systems.

This study is an empirical investigation based on a unique sample of more than 85,000 syndicated loans from 122 countries. The paper uses standard and two-stage least squares regression analysis to test whether the types of financial and corporate governance systems affect loan spreads.

The paper finds that borrowers from countries with financial systems oriented towards the banking-based paradigm pay lower interest rate spreads than those from countries with financial systems oriented towards the market-based paradigm. In addition, there is evidence that borrowers from countries with more developed financial systems pay lower spreads. The results also show that borrowers from countries with an Anglo-Saxon governance system pay higher spreads than borrowers from countries with a Continental governance system.

This study does not consider potential promiscuous relationships that can arise at the ownership structure and governance level between banks and borrowers and may affect loan spreads.

This study suggests that financial and corporate governance systems are essential factors in the financial intermediation process. Furthermore, the evidence indicates that corporates with higher potential agency costs and higher potential information asymmetry are requested to pay higher spreads. Therefore, the opportunities to such corporates invest optimally tend to be scarcer.

The paper highlights the impact of institutional factors on the cost of financing, characterising the countries according to the type of financial system and the type of corporate governance system. The study finds that borrowers from countries with bank-based financial systems pay lower interest rate spreads than those from countries with market-based financial systems. The paper also highlights how the level of financial development affects the cost of financing. The paper focusses on non-financial firms, unlike financial firms, which have been the focus of several empirical studies on topics relating to the cost of funding and corporate governance.

This study examines bank practices of corporate loan pricing in the Asia‐Pacific region. We find that the all‐in‐spread for loans (mostly term loans with longer maturities) in the Asia‐Pacific region are significantly smaller than those in the US. In addition, foreign banks tend to price their loans favorably in the Asia‐Pacific region, while foreign banks in the US have a higher loan spread. This finding indicates that foreign banks foster more competitive loan pricing in the Asia‐Pacific region, while foreign banks in the US seem to experience a competitive disadvantage compared to domestic lenders.

This article estimates the loan spread equation taking into account the endogenous matching between banks and firms in the loan market. To overcome the endogeneity problem, I supplement the loan spread equation with a two-sided matching model and estimate them jointly. Bayesian inference is feasible using a Gibbs sampling algorithm that performs Markov chain Monte Carlo (MCMC) simulations. I find that medium-sized banks and firms tend to be the most attractive partners, and that liquidity is also a consideration in choosing partners. Furthermore, banks with higher monitoring ability charge higher spreads, and firms that are more leveraged or less liquid are charged higher spreads.

This paper aims to investigate whether the Section 404 of Sarbanes–Oxley Act (SOX 404) changed the way banks use accounting information to price corporate loans.

The study uses a sample of 1,173 US-listed firms that issued syndicated loans both before and after their compliance with SOX 404 to analyze the changes in loan spread’s sensitivity to some key accounting metrics such as ROA, interest coverage, leverage and net worth.

The study finds that the interest spread’s sensitivity to key accounting metrics, most noticeably for ROA, declined following the borrower’s compliance with the requirements of SOX 404. The decline was not explainable by borrowers that disclosed internal control weaknesses but concentrated among borrowers suspected of real earnings management (REM).

By examining the effects of SOX 404 on banks’ pricing process, this study augments the literature on SOX’s economic consequences. The findings suggest that lenders perceive little new information from SOX 404 disclosures of internal control deficiencies and are cautious about the accounting information provided by REM borrowers. It also extends the research on the use of accounting information in debt contracting. By examining loan interest’s sensitivity to accounting metrics, it broadens the concept of debt contracting value of accounting information to include accounting’s usefulness for assessing credit risk at loan inception.

This study aims to investigate the determinants of credit spreads in hotel loans securitized into commercial mortgage-backed securities (CMBS) between 2010 and 2015.

The sample represents 1,579 US hotel fixed interest rate whole loans with an aggregate mortgage value of $26.6bn at loan origination. The relationship between credit spreads and property, loan and market characteristic is examined via multiple regression analysis. Additionally, the method of 2-stage least squares is used to control for endogeneity bias and identify the effect of the loan-to-value (LTV) ratio on credit spreads.

The multiple regression models explain 80 per cent of the variation in credit spreads and show a significant association of credit spreads with hotel and loan characteristics and market conditions. The findings indicate the debt coverage ratio to be the most important predictor of credit spreads followed by the loan maturity term, implied capitalization rate, LTV and yield curve. The results show the debt yield premium to be a stronger predictor of credit spreads than the debt yield ratio. The spread between the debt yield ratio and mortgage interest rate could be used in future research as an instrumental variable to identify the effect of the LTV on credit spreads.

This study is limited to the CMBS market and the period after the financial crisis. Additional limitations include sample selection bias, exclusion of multi-property loans and variable interest rate loans.

Interest rate increases in an expanding economy would likely increase the cost of borrowing for hotel owners leading to higher debt service payments and lower profitability. If an increase in interest rates is offset by a decline in credit spreads, hotel owners will still benefit from the ensuing stability in borrowing interest rates. The evidence also suggests that CMBS lenders favor select service and extended stay hotels. Owners and operators of these efficient and profitable hotels will likely obtain loans with lower credit spreads given their lower risk of default.

The current study provides evidence on the effects of loan and property characteristics in the pricing of loan risk and serves to inform CMBS market participants about the factors that drive credit spreads in hotel mortgage loans.