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Is residential property the ultimate hedge against inflation ? new evidence from Malaysia based on ARDL and nonlinear ARDL

Author

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  • Aqsha, Nur Suhairah
  • Masih, Mansur

Abstract

Residential property is seen as a good investment asset which can protect the real wealth of investors against increase in prices of goods and services. Despite rising house prices, consumer home buying power is still going strong in Malaysia. Nevertheless, many believe that over longer time horizon, house prices could decline jeopardizing the real returns on investment especially during inflationary pressure. Therefore, this paper aims to analyze the inflation-hedging abilities of Malaysian housing properties both in the long run and short run. We extend current literature using relatively advanced technique of NARDL (Shin et al, 2014) in order to examine the intrinsic asymmetric relationship among the variables. Different hedging tools are included for comparison purpose namely, gold price and stock price. Overall, we find that house price responds to inflation rate asymmetrically in the long run. Gold has asymmetric linkage with inflation but the NARDL estimation result is insignificant, whereas stock price is proven to be a much better option as it reacts symmetrically over both short- and longer-time horizon. However, house ownership can still hedge against inflation in the long-run since the home prices have risen faster than inflation rate during the recent housing bubbles. The findings tend to suggest that ignoring potential nonlinearity may lead to misleading evidence as house prices can be influenced by different macroeconomic determinants. Therefore, it could be of major importance for more effective property investment and policymaking in the context of the Malaysian house market.

Suggested Citation

  • Aqsha, Nur Suhairah & Masih, Mansur, 2018. "Is residential property the ultimate hedge against inflation ? new evidence from Malaysia based on ARDL and nonlinear ARDL," MPRA Paper 91508, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:91508
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    References listed on IDEAS

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    1. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," The Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
    2. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    3. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    4. Chyi Lin Lee, 2014. "The inflation-hedging characteristics of Malaysian residential property," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 7(1), pages 61-75, February.
    5. Ali Anari & James Kolari, 2002. "House Prices and Inflation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(1), pages 67-84.
    6. Robin C. Sickles & William C. Horrace (ed.), 2014. "Festschrift in Honor of Peter Schmidt," Springer Books, Springer, edition 127, number 978-1-4899-8008-3, September.
    7. Eloisa T. Glindro & Tientip Subhanij & Jessica Szeto & Haibin Zhu, 2011. "Determinants of House Prices in Nine Asia-Pacific Economies," International Journal of Central Banking, International Journal of Central Banking, vol. 7(3), pages 163-204, September.
    8. Adams, Zeno & Füss, Roland, 2010. "Macroeconomic determinants of international housing markets," Journal of Housing Economics, Elsevier, vol. 19(1), pages 38-50, March.
    9. Michael T. Bond & Michael J. Seiler, 1998. "Real Estate Returns and Inflation: An Added Variable Approach," Journal of Real Estate Research, American Real Estate Society, vol. 15(3), pages 327-338.
    10. Stevenson, Simon, 2000. "A Long-Term Analysis of Regional Housing Markets and Inflation," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 24-39, March.
    11. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    12. Wen‐Shwo Fang & Kuan‐Min Wang & Thanh‐Binh T. Nguyen, 2008. "Is Real Estate Really an Inflation Hedge? Evidence from Taiwan," Asian Economic Journal, East Asian Economic Association, vol. 22(2), pages 209-224, June.
    13. Kuan-Min, Wang & Yuan-Ming, Lee & T.T.Binh, Nguyen, 2008. "Asymmetric Inflation Hedge of Housing Return: A Non-linear Vector Error Correction Approach," International Real Estate Review, Global Social Science Institute, vol. 11(1), pages 65-82.
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    More about this item

    Keywords

    Residential Property; House Price; Inflation; Hedging; Nonlinear ARDL; Malaysia;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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