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The purpose of this study is to explore stakeholders’ perceptions on money creation and the impact of the accounting treatment for commercial banks’ money lending activity in Malaysia.

A phenomenological approach was used to examine the stakeholders’ perceptions through experience-sharing. A semi-structured interview approach was used to collect the data. Ten individuals from different stakeholder groups have been interviewed with their prior consent. For the data analysis, the current study adopted the inductive thematic approach.

Perceptions on money creation are influenced by the informants’ understanding and awareness of the research issue. Informants have agreed on the accounting treatment (debit loan and credit deposits) but explained the impact of this accounting treatment differently. The accounting treatment creates an opportunity for the commercial banks to create money as they want, and hence, the excess created money can create inflation and threat for the potential financial crisis. On the contrary, it is argued that money creation results from the systematic approach of the fractional reserve banking (FRB) in Malaysia. In addition, this money creation is not a threat to the economy as long as there is a strong controlling role of Bank Negara Malaysia (BNM).

Stakeholders’ perception indicates that awareness of the research issue can be a cause of crucial consequence for money lending activity. Moreover, this study may stimulate the chief regulatory body such as BNM, the central bank of Malaysia, to be more cautious in controlling the commercial banks’ money lending activity to prevent the potential future crisis. Furthermore, findings may help to explain the conflicting concept between the textbook explanation for FRB and current commercial banks’ money lending practice through the accounting treatment.

Monitoring and controlling of money creation and commercial banks’ money lending activity by BNM can be benefited from the stakeholders’ perceptions on this research issue. Because this is the first time study of the stakeholders’ perceptions on money creation and commercial banks’ money lending activity in Malaysia and hence, findings of this study may be worked as the input in the process of monitoring and controlling the money creation activity in Malaysia.

This paper seeks to examine the effect of monetary policy rate (MPR) on the lending rates of commercial banks in Ghana.

The paper employed the autoregressive distributed lag (ARDL) model as well as the non-linear autoregressive distributed lag (NARDL) model econometric techniques on a quarterly time series data from 2002 to 2018.

The ARDL results revealed that, MPR has a positive and significant effect on lending rate in the long and short run. Although there exists a direct relationship between MPR and lending rate, from the NARDL revealed an asymmetric effect of MPR on lending rate to the effect that, lending rate in Ghana responds more to positive shock (a rise in MPR) compared to a negative shock (a decrease in MPR) both in the long and short run.

The paper contributes to policy and literature in Ghana by providing empirical evidence on the asymmetric effect that MPR has on lending rates in Ghana. The paper recommends among others, the establishment of a rating system of banks according to their monetary policy compliance, where highly rated banks could have for instance a reduction on borrowed reserves from the central bank.

This paper reviews studies that have examined how accounting information impacts commercial lending judgments. Issues discussed involve the usefulness of accounting data in lending decisions, effects of different accounting methods on lenders’ judgments, bankruptcy and default judgments, and decision processes pertaining to the use of accounting information in lending decisions. Additionally, the paper reviews the research on how audits and other forms of assurance influence commercial loan officers’ judgments. Topics include the way perceived auditor independence influences loan officers’ judgments, the impact of financial statement audits and audit opinions on lending decisions, how internal control reports and other CPA firm reports influence loan decisions, ways in which audit report disclosures and wording impact lending decisions, how perceived auditor quality affects lending decisions, and the effects of limited assurance engagements on loan officers’ judgments.

The purpose of this paper is to investigate the market microstructure related to the Farm Credit System (FCS), Commercial Banks (CB) and Farm Services Administration (FSA). The commercial banks frequently call out the FCS as having an unfair advantage in the agricultural finance market place due to tax exempt bonds, and an implied guarantee of those bonds. This paper addresses the issue by examining the interrelationships since 1939, while addressing the historically distinctive roles that the FCS, CB and FSA have played in the US agricultural credit market.

There are two components to our model. The first is the estimation of short and long run credit demand elasticities, as well as land elasticities. These are estimated from a dynamic duality model using seemingly unrelated regression. The point elasticity measures are then used as independent variables in least square regressions, combined with farm specific and related macro variables, for the Cornbelt states. The dependent variable is the year-over-year changes in paired FCS, CB and FSA loans.

The genesis of the FCS was to provide credit to farmers in good and bad years. Therefore, we expected to see a countercyclical relationship between FCS and CB. This is found for the farm crisis years in the 1980s but is not a continuous characteristic of FCS lending. In good times the FCS and CB appear to compete, albeit with differentiated market segmentation into short- and long-term credit. The FSA, which was established to provide tertiary support to both the FCS and CB, appears to be responding as designed, with greater activity in bad years. The authors find the elasticity measures to be economically significant.

The authors conclude that the market microstructure of the agricultural credit market in the US is important. Our analysis applies a broader definition of market microstructure for institutions and intermediaries and reveals that further research examining the economic frictions caused by comparative bond vs deposit funding of agricultural credit is important.

The authors believe that this is the first paper to examine agricultural finance through the market microstructure lens. In addition our long-term data measures allow us to examine the economics through various sub-periods. Finally, we believe that our introduction of credit and land demand elasticities into a comparative credit model is also a first.

An established paradigm in small business lending is segmented by bank size with large banks more likely to lend to large informationally transparent firms while small banks are more likely to lend to small informationally opaque firms. In light of banking consolidation, this market segmentation can have implications for credit availability. Federal loan guarantees, such as those provided by USDA's Farm Service Agency (FSA) may reduce the risks of lending to informationally opaque firms thereby mitigating the impacts of the bank size lending paradigm. This paper aims to discuss these issues.

This analysis utilized a binomial logit procedure to determine if there was any empirical evidence that smaller community banks served a unique clientele of farmers when making FSA-guaranteed loans. The analysis relied on a unique data set which incorporated detailed data on farm businesses receiving FSA-guaranteed loans, loan characteristics, as well as information about the originating bank and characteristics of the local credit markets.

Results were consistent with the bank size lending paradigm with smaller banks being less likely to engage in fixed-asset lending, and more likely to serve a riskier and less established clientele when making guaranteed loans.

Data limitations did not permit detailed analysis of banks larger than $250 million in total assets nor for consideration of non-bank lenders. An expansion by these lender groups into serving more informationally opaque borrowers could mitigate any adverse impacts arising from fewer small community banks.

The results suggested that Federal guarantees do not completely eliminate the relative informational advantages of large and small size banks. And, continued bank consolidation, such that there are fewer small community banks, could result in less credit availability among smaller, less creditworthy farm businesses.

While FSA guarantees may not enhance a large banks propensity to serve informationally opaque farm borrowers, they may enhance the ability of smaller community banks to serve groups specifically targeted through FSA lending programs; the provision of credit to family farmers who, despite being creditworthy, are unable to obtain credit at reasonable rates and terms.

The analysis examines relationship between bank size and the use of FSA guarantees using a unique data set which incorporated information on FSA-guaranteed loans, farm financial characteristics, along with characteristics of commercial banks which participated in the FSA-guarantee program.

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 paper aimed to investigate the determinants of loans and advances from commercial banks in the case of Ethiopian private commercial banks.

The study randomly selected seven commercial banks to represent the population stratified on their asset, deposit and paid-up capital amounts. The study utilized an unbalanced panel data model as each bank started operation at a different period of time and considered the period 1995–2016 for secondary details.

The findings showed that the deposit size, credit risk, portfolio investment, average lending rate, real gross domestic product (GDP) and inflation rate had significant and optimistic effects on the lending and advancement of private commercial banks. On the contrary, liquidity ratio had significant and negative effects on private commercial bank loans and advances. Finally, the study forwarded a feasible recommendation for concerned organs to focus on deposit size, credit risk, portfolio investment, average lending rate, real GDP, inflation rate and liquidity ratio. The results of this study will help banking industry policymakers and planners understand how to minimize inflation and unemployment by improving development and sustainable economic growth.

The findings of this study can also affect the general attitudes of a society by increasing knowledge and improve the quality of life for the general public.

In this study, the authors present unique evidence on bank lending types by paying particular attention to the factors that drive the different types of bank lending in Africa using bank level data.

In presenting such evidence, the study employs a robust fixed effect panel data with year and technological controls comprising 57 banks from 29 African economies between 2006 and 2015.

The results show that different factors affect different bank lending types differently in Africa. Specifically, while the authors find that total or aggregate bank lending is positively driven by bank capitalization and spread but negatively driven by bank size, corporate and commercial bank lending is positively driven by bank size, spread, inflation, elections and extent of business disclosure but negatively driven by bank capitalization, loan loss reserves, operational cost and gross domestic product per capita. Moreover, interbank lending is both negatively and positively driven by bank capitalization and size, respectively, while other bank lending type is driven positively by financial crisis but negatively driven by bank size, inflation and extent of business disclosure. Finally, retail and consumer lending is positively driven by bank capitalization, loan loss reserves and spread while negatively driven by bank size and inflation.

These imply that bank managers, regulators, policymakers and researchers must begin to see each bank lending category separately and independently since varying factors influence the different categories of bank lending differently.

The study presents new insights into how different factors determine different lending types in Africa for the first time to the best of the authors’ knowledge.

The aim of this study is to report on a simple derivation that results in what the authors refer to as the lending cap rate. The lending cap rate is a unique cap rate resulting in a property valuation that perfectly aligns the maximum loan amount for the financing of commercial real estate.

The derivation is the result of simple algebra relating the two most common underwriting ratios: debt service coverage and loan-to-value with the formula for the present value of an annuity. Numerical examples are presented to demonstrate the calculation of the lending cap rate, property valuation and maximum loan amount. The authors also present comparative statics results.

The main finding of this research is that once a lender knows the debt service coverage ratio, loan-to-value ratio and lending terms for a specific property financing request, a simple calculation reveals the lending cap rate and the property valuation that aligns the maximum loan amount implied by the two underwriting ratios.

One practical implication of the research is that a simple calculation reveals the lending cap rate which facilitates timely property evaluations for lending purposes. The methods demonstrated also offer real estate finance educators a practical means of connecting the loan underwriting process with property appraisal thereby facilitating conceptual understanding.

The key finding is original, and the importance of the finding is that the determination of the lending cap rate is simple and has the ability to make commercial real estate lending faster and cheaper, especially in lending situations where an evaluation rather than an appraisal is appropriate.

This study examines agricultural lending by commercial banks and the competition they face from the Farm Credit System (FCS) and non-traditional lenders, including merchants, dealers and other input suppliers.

We construct a measure of commercial banks' perceived competition with FCS or non-traditional lenders using the individual responses to the Federal Reserve Bank of Chicago's Land Values and Credit Conditions Survey between 1999 and 2019. Through regression analysis of an unbalanced panel of survey responses, we present a number of stylized facts on the relationship between perceived competition and farm loan rate spreads, collateral requirements, loan delinquencies and expected lending volumes.

Our analysis shows that the two sources of competition have very different effects on commercial bank lending terms, loan portfolio riskiness and expected loan volumes. With these results in mind, we offer a number of suggestions for future research.

We leverage the unique characteristics of the Land Values and Credit Conditions Survey to examine the competition with non-traditional lenders that cannot be observed using administrative data.