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Reverse floating interest rate‐linked structured products are important innovative products for investors to achieve a relatively high yield at low interest rates, and the reasonable pricing of such products is an important factor to influence investors' needs and issuers' profits. The purpose of this paper is to empirically analyze the rationality of the pricing of reverse floating interest rate‐linked products.

This paper combines the Itô's Lemma and introduces the Black‐Derman‐Toy (BDT) model into the time‐varying volatility to build a binary tree interest rates BDT model under the time‐varying volatility, and to establish the pricing model of reverse floating interest rate‐linked products. Dozens of product data of ABN AMRO Bank and other world‐renowned banks or financial institutions are empirically analyzed.

The results show that the average pricing of these products is high, and the expected rate of return of the product is lower than the same period of the Five‐year US Treasury Bill rate.

This paper has combined the theory and practice together. The research method described in this paper is of significance to the pricing of interest rate‐linked structured products, and the pricing method of binary tree BDT model to solve the term structure of interest rates and estimation problem of volatility term structure of interest rates.

This study aims to investigate the interactions among macroeconomic variable shocks, banking fragility and home financing provided by conventional and Islamic banks in Malaysia. Identifying the causes of financial instability and the effects of macroeconomic shocks can help to foil the onset of future financial turbulence.

The autoregressive distributed lag bound-testing cointegration approach, impulse response functions (IRFs) and forecast error variance decomposition are used in this study to unravel the long-run and short-run dynamics among the selected macroeconomic variables and amount of home financing offered by both conventional and Islamic banks. In addition, the study uses Granger causality tests to investigate the short-run causalities among the selected variables to further understand the impact of one macroeconomic shock to Islamic and conventional home financing.

This study provides evidence that macroeconomic shocks have different long-run and short-run effects on amount of home financing offered by conventional and Islamic banks. Both in the long run and short run, home financing provided by Islamic banks is more linked to real sector economy and thus is more stable as compared to home financing provided by conventional banks. The Granger causality test reveals that only gross domestic product (GDP), Kuala Lumpur Syariah Index (KLSI)/Kuala Lumpur Composite Index (KLCI) and house price index (HPI) are found to have a statistically significant causal relationship with home financing offered by both conventional and Islamic banks. Unlike the case of Islamic banks, conventional home financing is found to have a unidirectional causality with interest rates.

This study has focused on analyzing the macroeconomic shocks on home financing. However, this study does not assess the impact of financial deregulation and enhanced information technology on amount of financing offered by both conventional and Islamic banks. In addition, it is not within the ambit of this present study to examine the effects of agency costs and information asymmetry.

The analysis of cointegration and IRFs exhibits that in the long run and short run, home financing provided by Islamic banks are more linked to real sector economy like GDP and House Prices (HPI) and therefore more resilient to economic vulnerabilities as compared to home financing provided by conventional banks. However, in the long run, both conventional and Islamic banks are more susceptible to fluctuations in interest rates. The results of the study suggest that monetary policy ramifications to improve banking fragility should focus on stabilizing interest rates or finding an alternative that is free from interest.

Because interest plays a significant role in pricing of home loans, the potential of an alternative such as rental rate is therefore timely and worth the effort to investigate further. Therefore, Islamic banks can explore the possibility of pricing home financing based on rental rate as proposed in this study.

This paper examines the unresolved issues in Islamic home financing where Islamic banks still benchmark their products especially home financing, to interest rates in dual banking system such as in the case of Malaysia. To the best of the authors’ knowledge, studies conducted in this area are meager and therefore is imperative to be examined.

Investigates primarily the role of interest rates on housing prices from expectation perspectives. It quantifies the impact of interest rates on price movements from 1981 to 2001 in Hong Kong. The principal finding is that housing prices display a moderately high correlation with interest rates in the deflationary 1998‐2001 period. Reduced interest rates are linked to higher housing prices until 1997, thereafter, such inverse relationship appears to be non‐existent. The impact of interest rates tends to be significantly positive in the inflationary pre‐1997 period. But most of the fall in housing prices since early 1998 can be attributed to low hope‐led price expectations. The results indicate that interest rates do not “Granger‐cause” housing prices, and that the positive interest rate effect in deflationary periods seems to have been negated by anticipated capital losses.

The purpose of this paper is to consider a monetary-jump model to measure the contribution of jumps to the total volatility of interest rates in the Brazilian interbank market and to assess the extent to which the central bank’s unanticipated monetary policy decisions are driving these jumps.

The authors use a sample of swap rates contracts with different maturities to estimate a mixture GARCH-jump model that disentangles two components of interest rate volatility: a GARCH-type specification that models conditional heteroskedasticity to account for the volatility during “normal” times and a Poisson process that models the occurrence of abrupt changes in interest rates.

The contribution of jumps to the total volatility is substantial, and monetary policy decisions partly explain the occurrence of those jumps. In particular, the authors find that the likelihood of a jump occurring during a meeting day of the Brazilian central bank’s monetary policy committee (COPOM) is higher in comparison to that of a non-meeting day.

The occurrence of jumps in the term structure of interest rates raises the question of the transmission mechanism of the monetary policy through the asset price channel as well as the relation between jumps and economic fundamentals.

Communication between the central bank and the market will affect expectations and asset values. If the central bank’s decisions generate fewer jumps, then the variance of the interest rate-linked asset values will also be reduced.

The paper employs a new approach to assess monetary policy surprises to a set of Brazilian interest rate data and relates the occurrence of jumps to the macroeconomic environment.

This paper aims to describe a robust empirical approach to generating plausible historically based interest rate shocks, which can be applied to any market environment. These interest rate shocks can be readily linked to movements in other key risk factors, and used to measure market risk on institutions with large fixed-income portfolios.

Using yield curve factorization, we parameterize a time series of historical yield curves and measure interest rate shocks as the historical change in each of the model’s factors. We then demonstrate how to add these parameterized shocks to any market environment, while retaining positive rates and plausible credit spreads. Given a set of shocked interest rate curves, joint risk factor movements are calculated based upon historical, reduced form dependencies.

Our approach is based upon yield curve parameterization and requires a parsimonious yet flexible factorization model. In the process of selecting a model, we evaluate three variants of the Nelson–Siegel approach to yield curve approximation and find that, in the current low interest rate environment, a 5-factor parameterization developed by Björk and Christensen (1999) is best suited for accurately translating historical interest rate movements into plausible, current period shocks.

An accurate measure of market risk can help to inform institutions about the amount of capital needed to withstand a series of adverse market events. A plausible set of shocks is required to ensure market value, and cash flow projections are indicative of meaningful market sensitivities.

The purpose of this paper is to emphasize that interest-rate benchmark cannot be used for pricing of Islamic financial products. This paper will help in pricing basis for Islamic financial products, which are currently based on interest-rate benchmarks. Shariyah perspective and ground realities are considered as evident to the viewpoint.

Viewpoint has been evident through comparison of conventional and Islamic financial product pricing, and through comparison of interest rate with macroeconomic indicators to analyze whether interest really represent economy, since Islamic finance based on real economic activities.

It has been analyzed that interest based benchmarks do not represent real economic activities.

This paper brings new light to the product development in Islamic financial instruments and institutions. Islamic finance should have its own footings in terms of product development.

Stock Participation Accreting Redemption Quarterly-pay Securities (SPARQS), a service mark of Morgan Stanley, represent another form of equity-linked structured notes. The SPARQS generally provide the investors with higher interest payments that substantially exceed the market interest rate for corresponding standard bonds, in exchange for a call feature. The call option limits the potential appreciation of the SPARQS in case the underlying common stock price rises. Moreover, the SPARQS are mandatorily convertible at maturity that entail more risk than ordinary debts due to the possibility that investors might not receive their principal amount in case the underlying common stock price declines. This paper derives a general pricing formula for the SPARQS using the binomial tree approach. An empirical test of a specific SPARQS issue indicates that the binomial tree model is quite accurate.

Explains how the adoption of Islamic law (Shariah) theoretically affects a political economy, why it requires the abolition of interest rates as a price for money and how this is achieved. Takes Saudi Arabia as an example of a Muslim country governed by Shariah and investigates how far it accords with theory. Argues that equity financing (including non‐interest bearing government bonds) has helped to finance growth and insulated the stock market from speculative financing. Looks at statistics on the financial structures, assets and loans of Saudi banks (including joing ventures with foreign banks) and concludes that they have “done well” in implementing Islamic principles; and that interest‐free financing is appropriate for this country.

The aim of this research is to answer whether or not wholesale interest rates, such as the London Interbank Offered Rate (LIBOR), can be used as an effective policy instrument to influence construction output. Developers and contractors borrow to finance construction and are charged retail interest rates, determined by the lending bank. The study investigated the relationship between LIBOR and construction industry output.

The study identified two time series, LIBOR and annual construction output and a number of regressions were run using the first differences to observe whether a change in LIBOR alone had a significant influence on construction output lagged by one to four years.

No significant relationship was found between changes in LIBOR and the annual change in construction output, regardless of the number of years lagged.

The policy implication of this research shows that control of demand for construction by government using wholesale interest rates is unlikely to succeed. Banks' lending to developers depends on other factors, such as retail interest rates, risk management and expectations.

The value of this research is that it supports the view that government policy needs to focus on stimulating construction demand, using real projects rather than monetary policies, such as interest rate manipulation.