Salina Hj Kassim, Nur Harena Redzuan, Nor Zalina Harun


The current practise of the Islamic banks to rely on market interest rate as pricing benchmark for their home financing products has been a subject of intense debate among many parties. Muslim scholars have warned that it is highly discouraged as it could lead to a possible convergence between the practices of the Islamic and conventional banks. This paper intends to address the financing issues in the discussion of human settlement or housing policy by presenting the determinants for house price index as well as looking into the possibility of adopting the House Price Index (HPI) to replace the market interest rate as a pricing benchmark for the Islamic home financing. The study applies Auto-Regressive Distributed Lag (ARDL) method on a model comprising HPI as the dependent variable and a set of independent variables consisting of economic, housing demand and housing supply factors. The findings lead to the formulation of recommendations as a way forward for the Islamic banking industry in particular, and the economy in general. This will require a paradigm shift from basic financing products to a more holistic approach which integrates supply of housing factors, as well as urban planning and urban finance, with human rights and recognizes the need to place and shelter people.


home financing; House Price Index, Islamic banking; benchmarking; interest rates

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Amin, H., Abdul Rahman, A. R., & Abdul Razak, D. (2013). An integrative approach for understanding Islamic home financing adoption in Malaysia. International Journal of Bank Marketing, 31(7), 544-573.

Bank Negara Malaysia (2015). Financial Stability and Payment Systems Report. Kuala Lumpur.

Abdul Razak, D., & Meera, A. K. M. (2009). Home financing through the musharakah mutanaqisah contracts: Some practical issues, J. KAU: Islamic Economics, 22(1), 3-27.

Day, B. (2003). Submarket identification in property markets: A hedonic housing price model for Glasgow, Working Paper - Centre for Social and Economic Research on the Global Environment, (1), 1-50.

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 55, 251-276.

Fletcher, M., Gallimore, P., & Mangan, J. (2000). Heteroscedasticity in hedonic house price models. Journal of Property Research, 17(2), 93-108.

Forrest, D., Glen, G. & Ward, R. (1996). The impact of a light rail system on the structure of house prices: A hedonic longitudinal study. Journal of Transport Economics and Policy, 30(1), 15-29.

Gimeno, R., & Martinez-Carrascal, C. (2010). The relationship between house prices and house purchase loans: The Spanish case. Journal of Banking and Finance, 34(8), 1849-1855.

Glindro, E. T., Subhanij, T., Szeto, J., & Zhu, H. (2011). Determinants of house prices in nine Asia-Pacific economies. International Journal of Central Banking, 7(3), 163-204.

Goodhart, C., & Hofmann, B. (2008). House prices, money, credit, and the macroeconomy. Oxford Review of Economic Policy, 24(1), 180-205.

Jim, C. Y., & Chen, W. (2007). Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou, Geoforum, 38, 414-431.

Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231-254.

Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169-210.

Li, M. & Brown, J. H. (1980). Micro-neighbourhood externalities and hedonic housing prices. Land Economics, 56, 125-140.

Li, Q., & Chand, S. (2013). House prices and market fundamentals in urban China. Habitat International, 40, 148-153.

Linz, S., & Behermann, T. (2004). Using hedonic pricing for the German house price index. Federal Statistical Office of Germany, VA Price, 1-10. Retrieved from

Majid, R. A., Said, R. & Daud, M. N. (2012). The Assessment of young couples’ behaviour on expenditure towards homeownership. International Surveying Research Journal, 4(2), 35-52.

Oikarinen, E. (2009). Interaction between housing prices and household borrowing: The Finnish case. Journal of Banking and Finance, 33(4), 747-756.

Pashardes, P., & Savva, C. S. (2009). Factors affecting house prices in Cyprus: 1988-2008. Cyprus Economic Policy Review, 3(1), 3-25.

Pesaran, H., & Smith, R. J. (1998). Structural analysis of cointegration VARS. Journal of Economic Surveys, 12(5), 471-505.

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289326.

Rosen, S. (1974). Hedonic prices and implicit markets: product differentiation in pure competition. Journal of Political Economy, 82(1): 34-55.

Ting, X. (2008). Heterogeneity in housing attribute prices: A study of the interaction behaviour between property specifics, location coordinates and buyers’ characteristics. International Journal of Housing Markets and Analysis, 1 (2):166-181.

Theriault, M., Des Rosiers, F., Villeneuve, P., & Kestens, Y. (2003). Modelling interactions of location with specific value of housing attributes, Property Management, 21(1), 25-62.

Tse, R.Y.C. (2002). Estimating neighbourhood effects in house prices: Towards a new approach of hedonic model. Urban Studies, 39(7), 1165-1180.

Valuation and Property Services Department (2015). The Malaysian House Price Index.

Valuation and Property Services Department (2016). Malaysian House Price Index, Q2.


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