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The advent of derivatives and structured products has coincided with a proliferation of fixed income models used to analyze hedging, pricing, forecasting, and estimation for the term structure of interest rates. This article evaluates five models Ho‐Lee (HL); Black‐Derman‐Toy (BDT); Vasicek; Cox‐Ingersoll‐Ross (CIR); and Heath‐Jarrow‐Morton (HJM) (see Exhibit 1) that are currently used by structured finance practitioners. We suggest which models are most appropriate for assets with different time horizons, interest rate sensitivities and cashflow properties. The authors link model selection to structured financial instruments with the singular focus on the trade‐off between model precision/complexity and calculation costs.

This study seeks to investigate the sensitivity of stock returns at the industry level to market, exchange rate and interest rate shocks in the four major European economies: France, Germany, Italy, and the UK.

The paper utilises the methodology of Campbell and Mei (1993) to decompose systematic risks into components attributable to news about future dividends (cash flows), real interest rates and excess returns.

In addition to significant market risk, the paper finds significant levels of exposure to exchange rate risk in industries in all four markets. Significant levels of interest rate risk are only identified in Germany and France. All three sources of risk contain significant information about future cash flows and excess returns.

Future research could investigate the extent of exposure in other markets, or investigate whether the findings change at the firm level. Additionally it could be investigated whether recent asset pricing work such as Campbell and Vuolteenaho (2004) can be utilised to investigate this research problem.

The paper identifies which industry portfolios have significant exposures and decomposes these risks. This information is relevant for investors and portfolio managers, as well as financial management within the firm.

The paper utilises an alternative econometric methodology to investigate the extent of exposure to exchange rate and interest risks in industrial portfolios in four European markets.

Vector‐autoregression (VAR), integration, and cointegration models are used to investigate the causal relations, dynamic interaction, and a common trend between interest rates and inflation in nine countries in the Pacific‐Basin. This paper finds that for all countries, short‐ and long‐term interest rates and the spread between the long‐term interest rates and inflation are non‐stationary I (1) processes. The nominal interest rates and inflation are not co‐integrated. In addition to this study’s inability to find a unidirectional causality between inflation and interest rates, when the VAR model is used, it also fails to find a consistent positive response either of inflation to shocks in interest rates or of interest rates to shocks in inflation in most of the countries studied. The VAR model results are consistent with the cointegration tests’ results, that is, nominal interest rates are poor predictors for future inflation in the Pacific‐Basin countries.

This paper aims to analyze Islamic rates of return, conventional interest rates in the Malaysian deposit markets, and Kuala Lumpur Interbank Offered Rate (KLIBOR) rates in the short-term money market from the view point of co-movement and transmission.

The non-stationary time series models such as cointegration and Granger causality tests are applied to analyze the daily data.

Islamic rates of return and conventional interest rates co-move in the Malaysian deposit market. The Islamic rates of return propel conventional interest rates in the three-, six-, and 12-month maturities. Islamic rates of return and conventional interest rates form a short-term money market with KLIBOR rates.

The author analyzes econometrically the sample period from May 16, 2005 to January 12, 2012. This paper concentrates on the period after the development of Islamic banking in Malaysia.

Islamic and conventional deposit markets are competitive in Malaysia; in particular, the competition in the one-month deposit market is very keen. Islamic rates of return have more impact on the formation of short-term interest rates than conventional interest rates.

This paper makes three contributions to the related literatures. First, it uses daily data in the maturities of one month, three months, six months and 12 months for its analyses. Second, it uses the Granger causality method of Toda and Yamamoto to avoid the issue of the non-stationarity of the data. The results of the Granger causality tests in this paper are different from related literatures. Third, this paper focuses on the relationship of KLIBOR rates and Islamic rates of return, and of KLIBOR rates and conventional interest rates.

The values of assets and liabilities of financial institutions are subject to fluctuations in interest rate. The differential impact in interest rate changes between assets and liabilities is referred to, in banking, as interest rate risk. Of all threats to bank competitiveness this risk dwarfs all others. Banks traditionally have dealt with interest rate risk by restructuring their loan portfolios. In this paper, we construct a model to measure interest rate risk, called the Degree of Interest Rate Sensitivity (DIRS), and demonstrate its effectiveness for banks to compete. The degree of interest rate risk is of vital importance to the commercial bank which has to know its level and degree of interest‐rate risk in order to prudently manage it. Failure to adequately manage interest rate risk can lead to bankruptcy or, at the least, a lack of competitiveness.

The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.

The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.

Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.

There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.

The agricultural sector remains the backbone of several emerging economies, including Kenya, where it contributes 34% to its gross domestic product (GDP). However, access to financing for agricultural activities appears to be very low compared to developed economies. Following this, governments in a number of countries have sought to introduce banking sector regulations to facilitate increased funding to the agricultural sector. Taking motivation of the interest rate capping regulations by the Central Bank of Kenya (CBK) in 2016, this paper examined the effect of these interest rate ceiling regulations on agri-lending in Kenya.

The paper employs random effects technique to estimate a panel data of 26 commercial banks in Kenya from 2014 to 2018 using the ratio of loans to agricultural sector to gross loans and the natural logarithm of loans to agricultural sector as proxies for agri-lending. Bank size, equity, asset quality, liquidity, revenue concentration and bank concentration are employed as control variables.

The results of the panel regression estimations show that the introduction of the interest cap resulted in increases in the proportion and growth in agri-lending compared with the pre-interest cap period. In addition, large banks and highly capitalised banks were found to be associated with lower agri-lending, with differences in the effects across pre-cap and post-cap periods.

From a policy perspective, the findings highlight the effectiveness of interest rate capping in meeting this objective and supports the calls for strengthening cooperation between the government and key stakeholders in the financial sector. This will allow for the effective enforcement of policies by the regulatory powers in a manner that guarantees sound and dynamic financial systems, particularly within the agricultural sector.

As far as the authors are aware, this the first paper to examine the effect of the interest rate cap regulation on agri-lending in Kenya.

Major financial lease contracts are commonly written on a variable interest rate basis. The conditions of this sort of lease include an interest rate variation clause which provides for adjustments to be made to the rentals when interest rates change. Such adjustments are usually made periodically by applying the change in the interest rate (from the rate at the beginning of the lease) to the amount of the lessor's investment in the lease.

The esoteric area of financial derivatives has become quite salient in light of the financial crisis of the last few years. In the public sector, state and local governments have increasingly employed derivatives in their bond financings. This paper analyzes state and local governments’ use of a specific type of municipal derivative instrument (a floating-to-fixed interest rate swap) in a specific type of transaction (bond refinancing). The paper provides a case study of an executed bond refinancing transaction that employed a floating-to-fixed interest rate swap quantifying the substantial long-term costs financial derivatives can impart on state and local governments. The paper concludes with some specific lessons learned about debt-related derivative usage for public financial managers and offers some suggestions for further empirical and theoretical research in this area of public financial management.

The purpose of this paper is to examine macroeconomic determinants of interest rate spreads in Ghana for the period 1980-2013.

The autoregressive distributed lag bounds test approach to cointegration and the error correction model were used for the estimation.

The results indicate that exchange rate volatility, fiscal deficit, economic growth, and public sector borrowing from commercial banks, increase interest rate spreads in Ghana in both the long and short run. Institutional quality reduces interest rate spreads in the long run while lending interest rate volatility and monetary policy rate reduce interest rate spreads in the short run.

The depreciation of the Ghana cedi must be controlled since its volatility increases spreads. There is a need for fiscal discipline since fiscal deficits increase interest rate spreads. Government must reduce its domestic borrowing because the associated crowding-out effect increases interest rate spreads. The central bank must improve its monitoring and regulation of the financial sector in order to reduce spreads.

The main novelty of the paper (compared to other studies on Ghana) lies on the one hand; analysing macroeconomic determinants of interest rate spreads and, on the other hand, controlling for the impact of institutional quality on interest rate spreads in Ghana.