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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.

Zoe Greenwood, vice president at Foundation Investment Advisors, was glancing through the offering memorandum for a new commercial mortgage-backed securities (CMBS) deal on April 1, 2010, a time when the opportunities for commercial mortgage investors had been bleak to the point of comical. This new CMBS deal represented the first opportunity to buy CMBS backed by loans to multiple borrowers since credit markets had shut the securitization pipeline in June 2008.

The offering gave Greenwood a new investment opportunity to suggest to her firm's latest client. She had planned to recommend an expansion in her client's traditional commercial mortgage business, but these new bonds looked intriguing. Could the new CMBS offer her client a superior risk-return tradeoff compared with making individual mortgage loans?

After students have analyzed the case they will be able to:

• –Learn how to construct promised cash flows from both commercial mortgages and commercial mortgage-backed securities

• –Understand the benefits and costs of direct lending versus indirect lending (purchase of mortgage-backed bonds)

• –Underwrite commercial mortgage loans issued by others to identify potentially hidden risks

• –Evaluate at what price a mortgage-bond investment makes financial sense

–Learn how to construct promised cash flows from both commercial mortgages and commercial mortgage-backed securities

–Understand the benefits and costs of direct lending versus indirect lending (purchase of mortgage-backed bonds)

–Underwrite commercial mortgage loans issued by others to identify potentially hidden risks

–Evaluate at what price a mortgage-bond investment makes financial sense

The questions of loan availability and pricing were considered from the perspectives of financial economic theory and practice as well as a survey of lenders capable of financing a one-year bridge loan to determine the market's willingness to make such a loan and what rate of interest would be charged. Utilizing the sources above, in conjunction with professional knowledge and industry contacts, 101 lenders were selected as representative of the universe of lenders who had the capacity to make directly or otherwise to arrange, a $192 million bridge loan. The survey of lenders involved interviews with 67 of the 86 selected lenders from 59 firms. The paper aims to discuss these issues.

Loan availability and pricing were considered from perspectives of financial economic theory and practice plus a survey to determine market's willingness to make a loan at what price. Utilizing professional knowledge and industry contacts, 101 lenders were selected as representative of those which had the capacity to make a $192 million bridge loan. When lenders were evaluated against criteria of size, product type, geographic territory, and willingness/capability to provide nonstandard loans, list selected for telephone interviews was narrowed, then subsequently expanded with referrals that led to identification of new potential lenders to be contacted.

Nine lenders offered conceptualized deal structures to provide the required financing. Though the price may be expensive, especially relative to what borrowers may wish to pay, financing is available. Developers’ and deal-makers’ protestations that “it's impossible,” should be discounted and rejected. Because the subject property is characterized by high-risk, it is logical conclusion that the lenders expressing a desire to provide the bridge loan would expect to earn a high return, meaning that the interest rate would approach, if not exceed, 20 percent.

Because the nature of the research required that the specific identities of the building and the parties were not revealed, some lenders might decline to consider this financing opportunity. And, real world negotiation of financing terms could result in higher rates than quoted and/or disinclination of lenders to proceed. Because of very specialized circumstances surrounding this proprietary research, conducted subject to nondisclosure agreement, publication had to be deferred until those constraints no longer applied. Though the data are more than a decade old, this consideration does not compromise the relevance, validity, or generalizability of the findings.

Markets can accommodate transactions that might be perceived as improbable. Investors which approach opportunities with creativity and open mind, can make deals that would not be possible, were strict, rigid, unbending eligible deal preference parameters to be employed. Strategists establishing policies for real estate enterprises should insist on progressive, expansive thinking in turning the scope of their potential venture involvements. Real estate education and training should address more attention to financial economic theory, strategic initiative, and creative deal making, which priority topics are too seldom prioritized, with the consequence that too many in real estate think narrowly rather than expansively.

This research substantiates a fundamental theory of financial economics and refutes conventional applied wisdom. Seldom do researchers and investors have the opportunity to “get inside” the lending decision process for a large scale commercial property, especially one characterized by daunting circumstances and considerable complexity, such as studied here. A unique real world date set – not normally accessible to property scholars – enables study of the proposition that every commodity has a price, no matter how severe or difficult the circumstances, in a manner fully congruent with the new AACSB Business School Deans policy emphasis on relevance in addition to rigor.

As commercial mortgages much less studied than residential mortgages, this paper is significant addition to undeveloped segment of literature. As the majority of mortgage finance research, estimated to be in the range of 90 percent, has been limited to single family residential financing, the study of commercial mortgage financing is relatively under-researched. Further, the studies of commercial mortgage finance tend to be illustrative case studies with stylized facts rather than explorations of empiricism-based investigations. As most researchers engaged in exploring real estate topics limit themselves to public information, research that provides access to real world private transactions is especially important.

Studies of Depression-era financial remediation have generally focused on federal deposit insurance and the provision of equity to banks by the Reconstruction Finance Corporation (RFC). This paper broadens the concept of financial remediation to include other programs – RFC lending, federal guarantees of farm and home mortgages, and the elimination of interest on demand deposits – and other intermediaries – savings and loans, mutual savings banks, and life insurance companies. The benefits of remediation or the amounts potentially at risk to the government in these programs are calculated annually and allocated to the various intermediaries. The slow remediation of real estate loans (two-thirds of these intermediaries' loans) needs further study with respect to the slow economic recovery. The paper compares Depression-era remediation with efforts during the 2008–2009 crisis. Today's remediation contrasts with the 1930s in its speed, magnitude relative to GDP or private sector nonfinancial debt, the share of remediation going to nonbanks, and emphasis on securities markets.

This paper presents the first known non‐proprietary empirical examination of the relationship between Commercial Mortgage Backed Security (CMBS) pricing. CMBS prices are examined as a function of the “moneyness” of the default option, the age of the security, the interest rate, interest rate volatility, property price volatility, amortization features and yield curve slope utilizing a proprietary data set of monthly prices on 40 CMBS securities. We find that though the senior tranche CMBS in the sample are effectively immune from default loss per se, they are not immune from early return of principal and resulting duration shift implied by increasing default probabilities. Thus, they behave very much like residential mortgage backed securities in that discount security prices are positively related to explanatory variables associated with potential shifts in duration. As a result, senior tranche CMBS prices increase with explanatoryd factors that raise the likelihood of default such as property volatility and loan to value ratio whereas CMBS prices decrease with variables that lower default probability such as amortization. These empirical results fit well with existing theoretical models of multi‐tranche CMBS pricing and models of commercial mortgage default and suggest that senior tranche CMBS may embody elements of risk that justify their seemingly rich spreads to similar duration corporate securities.

Over the past three decade, China has established a housing finance system that borrows from the collective experiences of advanced economies. After examining the evolution of China’s housing finance system, the paper focuses on analyzing its challenges and recent changes. The paper argues that China’s highly-centralized financial system prefers financial stability but neglects financial liberalization, and then resulted in severe financial repression, which hurts the efficiency and equality of the housing finance service. After recovering from the 2008 financial crisis via high-cost financial intervention, China took some policy innovations to promote a decentralized finance mechanism, expand finance resources, and support affordable housing financing, through which China hopes to provide a more stable, affordable, and equal housing finance service to help more households own homes.

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.

This paper aims to examine the heterogeneity of preferences of mortgage borrowers of Russian state-owned suppliers of residential housing mortgages.

Analysis takes into account the underwriting process and the choice of contract terms of all loans originated from 2008 to 2012. The data set contains demographic and financial characteristics for all applications, loan terms and the performance information for all issued loans by one regional bank which operates government mortgage programs. The paper uses a multistep semiparametric approach to estimate the determinants of bank and borrower choice controlling for possible heterogeneity of preferences, sample selection and endogeneity of contract terms.

The study found that the demand of low-income households who are unable to afford to improve the housing conditions by other instruments than government mortgage is less elastic according to the change both in interest rate and maturity compared with higher-income households.

Given lower elasticities of the demand, the low-income group of borrowers has higher potential cost of loan and is usually rejected by commercial banks. The presence of the Agency of Housing Mortgage Lending special programs with subsidized interest rate for special constrained categories (young families, teachers, researchers etc.) widens the access for housing conditions’ improvements as a part of housing affordability government program.

The main contribution to the literature is modeling choice of contract terms as interdependent by the structural system of simultaneous equations with heterogeneous marginal effects.

We examine whether loan securitization has an impact on bank efficiency. Using a sample of large US commercial banks from 2002 to 2012, we find that bank loan securitization has a significant and positive impact on bank efficiency, and this relationship is stronger for banks with higher capital ratios, higher default risk, and lower level of liquidity and diversification. Our results are robust to Heckman self-selection correction and difference-in-difference (DID) analysis. In addition, these results are found mainly in non-mortgage loan securitizations but not in mortgage loan securitizations. Finally, we show that loan sales also have a positive impact on bank efficiency.

There is an ongoing controversy over whether or not to extend commercial banks' nonbanking powers. Although the Glass‐Steagall Act of 1933 and the McFadden‐Pepper Act of 1927 restrict commercial banks' activities, the technological and financial innovations of the last several years have raised new questions. Whether banks should be allowed to undertake nonbanking activities? How profitable are these businesses? Whether banks will gain monopolistic powers? Will they increase FDIC's liabilities? And several other related questions. This study looks at the nonbanking activities of bank holding companies using a relatively new data source, i.e. FR‐Y11AS reports for the years 1989 and 1990. The performance of nonbanking subsidiaries is then compared with that of commercial banks and bank holding companies. Some meaningful inferences are drawn on issues such as market concentration, profitability, capitalization, and level of problem‐loans of nonbanking and banking subsidiaries, as well as, consolidated bank holding companies. Results from two prior studies are further utilized to look for possible trends. Since these studies have used the same data source (FR‐Y11Q and FR‐ Yl1AS) for the years 1986 through 1988, this facilitates a trend analysis over a five year period 1986–90. The main conclusions are that the BHC's nonbanking activities are heavily concentrated among the top five or ten firms within each activity. However, both the number of firms as well as total assets held in most nonbanking subsidiaries have declined over the five year period. Activities considered traditional, e.g. commercial and consumer finance and mortgage banking have suffered significant losses in terms of total assets and number of firms. Some interesting conclusions can be drawn from these results. First, due to the growing liberalization in interstate banking laws, BHCs can now carry on these activities in their bank subsidiaries and do not have to acquire a nonbanking subsidiary in order to capture business across state lines. Second, the glass walls separating banking from commerce may be cracking. Several states have started allowing banks to carry out some of the nonbanking activities, hence, considerably neutralizing the Glass‐Steagall Act. Insurance agencies and underwriting business of BHCs show the most significant growth over the five years, 1986–1990. Securities brokerage has held constant. Another finding is that the return on equity (ROE) for nonbanking firms has been lower than both the banking firms as well as the BHCs. However, this is mainly due to the relatively low equity capital levels for banks and BHCs. The nonbanking subsidiaries show fairly stable and relatively high capital ratios. Finally, for most part, nonbanking subsidiaries have a higher rate of problem‐loans.