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The purpose of this paper is to analyse how London Interbank Offered Rate Index (LIBOR) and the spread between LIBOR and the base rate of interest as set by the Bank of England (BoE) influences the variation in house prices in the UK.

This paper uses monthly data over a long time series, since 1986, to investigate the relationships between house price and LIBOR. Data are drawn from several different sources to include housing, financial and macro-economic variables. The time series is sub-divided into a series of splines based on stages in the economic and property market cycle. Both value-based and percentage change models are developed.

The results show that BoE base/LIBOR margin variable has a strong positive and significant effect on house price; however, the percentage change model infers a weaker and inverse relationship. The spline analysis re-emphasised the significance of the BoE base/LIBOR margin variable. Where variation between base rates and LIBOR is reduced, a significant positive effect can be observed in the average house price; however, where significant variation exists, the BoE base/LIBOR margin has little effect and LIBOR itself becomes a significant driver.

The results highlight that the predictive qualities of the BoE base/LIBOR margin, as the contribution of this margin to the explanation of house price, exceeds both the base rate and LIBOR variables individually. Also highlighted is the contribution of unemployment to the explanation of house price. In both the value and percentage change models, unemployment is shown as a negative and highly significant contributor.

Previous papers have demonstrated the important linkage between house price and interest rates, the originality in this paper lies in examining the impact of LIBOR and the spreads between LIBOR and base rate as key variables influencing variation in UK house prices.

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.

The purpose of this paper is to find applicable Islamic pricing benchmarks (IPBs) instead of the market interest rates which are currently used in Islamic finance as benchmark.

The suggested model (Islamic pricing benchmark model (IPBM)) obviously reveals the feasibility and practical effectiveness of a substitute to London Interbank Offered Rate (LIBOR) and as an evaluator tool to suggested investment projects. The model is a suggested mechanism which could be used as an alternative choice to the conventional borrowing based on the forbidden Riba or on interest. The suggested IPBM depends on estimating the rate of return for any project on consideration of the cash flows in future which is expected to be relative to the invested capital.

The IPBM approach might be applied to financial tools, where the fund owner bears the loss since it is not because of negligence. An instrument to help identify the investment for target rates of return (as an alternative choice to LIBOR) to identify a breakeven point based on expected cash flows for the project to be financed instead of based on seeking the indicators of interest or Riba (as LIBOR). This feature of the IPBM model as an Islamic benchmark renders it as a Shariah pricing mechanism for the Islamic financial products.

The IPBM could be used as a financial instrument to assist in identifying the investment for the target return rates to determine a breakeven point based on expected cash flows for the project to be funded instead of being based on seeking the interest indicators or Riba (as LIBOR). This feature as an Islamic benchmark is considered as a Shariah pricing mechanism for the Islamic financial products. In particular, the proposed model incorporates the Shariah parameters. In that, it is hoped that the Islamic financial instruments will be more comprehensive in their Shariah compliance and thereby may bring more credibility to the Islamic financial system in general.

This paper highlights several important issues related to the IPBMs in Islamic financial institutions which are not widely discussed among researchers. This study contributes to finding an alternative IPB for the Islamic financial products which is currently using the conventional interest rate (LIBOR) as its benchmark. The current study provides empirical evidence for the possibility of relying on the IPBM as an Islamic benchmark to price Islamic financial transactions.

The success of the syndicated loans market over the past 15 years has been unmitigated due largely to its flexibility in raising large amounts of credit at very short notice for a wide range of borrowers. This flexibility is based on close personal contacts between major participating banks, and clear guidelines within international banks regarding acceptable minimum spreads and exposure to major borrowers. Syndicated lending has enabled banks to satisfy unprecedented levels of credit demand while managing a diversified loan portfolio. However, there is a risk of potential loss to banks through lending to borrowers with whom they have no direct contact.

The purpose of this paper is to introduce a methodology to evaluate sovereign risk. Hereby, a value-based approach using different market measures is introduced.

This study’s approach aims to provide a value-based assessment of sovereign risk, combining market measures from government bond, credit derivatives and other markets as well as economic indicators.

The study finds that the assessment of sovereign risk is only possible when using information from different markets and adjusting according to the information included in these measures. Combining both market-based and economic information leads to a value-based evaluation of sovereign risk.

The practical implications are given for any institution with sovereign risk on their asset side. In fact, part of this research was done for the German Actuarial Foundation which uses the recommendations of this paper for the insurance industry.

The study’s approach is novel because it is the first to include several market-based and economic measures of a sovereign and combines it into a value-based assessment.

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.

In this second installment, the author addresses some of the problems associated with empirically validating contingent‐claim models for valuing risky debt. The article uses a simple contingent claims risky debt valuation model to fit term structures of credit spreads derived from data for U.S. corporate bonds. An essential component to fitting this model is the use of expected default frequency; the estimate of the firms' expected default probability over a specific time horizon. The author discusses the statistical and econometric procedures used in fitting the term structure of credit spreads and estimating model parameters. These include iteratively reweighted non‐linear least squares are used to dampen the impact of outliers and ensure convergence in each cross‐sectional estimation from 1992 to 1999.

The “London InterBank Offered Rate” (LIBOR) is one of the most important short-term interest rates with trillions of US dollar in financial products tied to it. Due to recent allegations of manipulation of the LIBOR, this paper aims to investigate the integrity of this rate.

The paper analyzes the LIBOR and its rate fixing process using different screens to detect potential manipulative behavior on the macro and micro level. As main frameworks, an interest rate parity approach and the construction of a theoretical LIBOR using Credit Default Swap (CDSs) are applied. A simulation on the potential impact from one through four banks manipulating the LIBOR is performed as well.

The results on the macro level show that the LIBOR deviates heavily from other short-term interest rates from mid-2007 onwards, reaching its peak in September 2008 with the collapse of Lehman Brothers. On the micro level, the individual submissions of the panel banks are investigated, finding inconsistencies for Barclays and HSBC. Furthermore, a simulation on the influence from potential manipulation under the current calculation method reveals substantial effects on the LIBOR fixing. Even one bank trying to manipulate the fixing has a strong influence on the rate setting.

This paper contributes to the academic landscape in that it investigates the LIBOR rate setting process and if irregular behavior can be detected, given the screens used. Due to the findings of conspicuous behavior in the fixing during certain periods, the integrity of the rate setting process is more than questionable.

This study examines the impact of firm-bank relationships on bank loan spreads and the mitigating role of firm credit ratings on that impact.

The study sample consists of Indonesian publicly listed companies for the period 2006 to 2016; bank-loan data was extracted from the Loan Pricing Corporation Dealscan database. For the degree of firm-bank relationships, the data on each loan is manually computed, using five different methods taken from Bharath et al. (2011) and Fields et al. (2012). All of the regression analyses are controlled for the year fixed effects, heteroscedasticity, and firm-level clustering. To address the endogeneity issues, this study uses several methods, including partitioning the sample, running nearest-neighbour and propensity score matching tests, and using instrumental variables in two-staged least-squares regression models.

In line with relationship theory and in opposition to the hold-up argument, this study finds that lending relationships reduce bank loan spreads and that the impact is more noticeable among non-rated Indonesian firms. Specifically, each additional unit in the total number of years of a firm-bank relationship and the number of previous loan contracts with the same bank are associated with 7.34 and 9.15 basis-point decreases, respectively, in these loan spreads.

Corporations and banks should maintain close, long-term relationships to reduce the screening and monitoring costs of borrowing. Regulators should create public policies that encourage banks to put more emphasis on relationships in their lending practices, especially in relation to crisis-prone companies.

To the best of the authors’ knowledge, this is the first study to examine the impact of lending relationships on bank loan spreads in Indonesia. The study offers insights on banking relationships in emerging markets with concentrated banking industries, underdeveloped capital markets and prominent business-group affiliations.